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delivers physics-based AI for synthetic chemists: ConstruQt, ReaQt and InteraQt build quantum molecular ensembles and ML descriptors via SaaS and API.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/www.aiqimia.com\/wp-content\/uploads\/2025\/06\/Logo-Aquimia-Black.png\" alt=\"Ai.Qimia logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Academic Research · Data Cleaning\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003eAi.Qimia\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003eAi.Qimia is a Swiss cloud-native quantum chemistry platform. Its \u003cb\u003eConstruQt\u003c\/b\u003e, \u003cb\u003eReaQt\u003c\/b\u003e and \u003cb\u003eInteraQt\u003c\/b\u003e modules generate physics-grounded molecular ensembles, descriptors and reaction simulations for synthetic and process chemists feeding machine learning pipelines. Access is arranged by contacting the vendor.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No public API\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv 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0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit the Ai.Qimia website\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eNo\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eWeb app · API\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eLanguages\u003c\/dt\u003e\n\u003cdd\u003eEnglish\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇨🇭 Switzerland\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use Ai.Qimia \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is Ai.Qimia?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003eAi.Qimia is a Swiss vendor of a cloud-native quantum chemistry platform delivered as SaaS, summed up on its own pages as \u003cb\u003ephysics-based AI for synthetic chemists\u003c\/b\u003e. Instead of describing molecules through 2D fingerprints or rule-based heuristics, the platform computes molecular ensembles with quantum mechanics and ranks them by Boltzmann-weighted energies, so the numbers a downstream model consumes are grounded in physics rather than in topology.\u003c\/p\u003e\n\u003cp\u003eThe offer is organized into three named modules. \u003cb\u003eConstruQt\u003c\/b\u003e, the product the home page is devoted to, produces what the vendor calls trusted molecular ensembles: Boltzmann-weighted conformer sets, 2D, 3D and electronic descriptors, and provenance metadata recording how each result was obtained. It aims at reducing label noise in machine learning datasets, capturing the tautomers, protomers and stereoisomers that matter in medicinal chemistry, and detecting inconsistencies in experimental databases automatically. \u003cb\u003eReaQt\u003c\/b\u003e extends the approach to complete reaction systems under realistic laboratory conditions; an April 2025 announcement adds multi-phase behavior, catalyst dynamics, temperatures up to 200 degrees Celsius and high-pressure flow. \u003cb\u003eInteraQt\u003c\/b\u003e maps molecular interactions and transition states, the ground on which mechanisms are elucidated.\u003c\/p\u003e\n\u003cp\u003eThe stated use cases run from machine learning input data, experimental quality assurance and model validation through to route optimization, condition screening, learning from negative data - the failed experiments usually thrown away - and scale-up forecasting. The vendor's own framing is that rival tools stop at the synthetic route and leave yield, by-products and scale-up unanswered; it compares them to a road map and its own platform to a GPS. It claims throughput across thousands of cores and millions of molecules per day, and a success rate above 98 percent for its semi-empirical and quantum mechanical calculations. Neither figure is supported by a named customer or a case study.\u003c\/p\u003e\n\u003cp\u003eIntegration is described as API-first: a JSON-RPC API, or the vendor's own web workspace where projects, libraries, molecules, reactions and trials are organized. Public material is thin, however - five pages and a single news post, with no API reference, no pricing and no legal documents. The leadership team and an advisory board are named on the About page, and Swiss public-innovation supporters appear as logos on the home page.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eGenerate Boltzmann-weighted molecular ensembles computed with quantum mechanics\u003c\/li\u003e\n\u003cli\u003eProduce 2D, 3D and electronic descriptors for machine learning and predictive modeling\u003c\/li\u003e\n\u003cli\u003eCapture the tautomers, protomers and stereoisomers that matter in medicinal chemistry\u003c\/li\u003e\n\u003cli\u003eCut label noise in training datasets and flag data inconsistencies automatically\u003c\/li\u003e\n\u003cli\u003eSimulate complete reaction systems under realistic laboratory conditions with ReaQt\u003c\/li\u003e\n\u003cli\u003eMap molecular interactions and transition states with InteraQt to elucidate mechanisms\u003c\/li\u003e\n\u003cli\u003eScreen solvents, catalysts, temperatures and reagents, and forecast scale-up to pilot and production volumes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use Ai.Qimia \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if Ai.Qimia is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use Ai.Qimia\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eSynthetic and process chemists who need forward-synthesis prediction that goes past the route itself to yield, by-products and scale-up behavior\u003c\/li\u003e\n\u003cli\u003eMedicinal chemists whose work depends on tautomers, protomers and stereoisomers that flat 2D representations quietly flatten away\u003c\/li\u003e\n\u003cli\u003eMachine learning and cheminformatics teams that want physics-grounded input features and provenance metadata rather than topological descriptors alone\u003c\/li\u003e\n\u003cli\u003eData curation and quality assurance specialists cleaning experimental chemistry databases, cutting label noise and hunting inconsistencies\u003c\/li\u003e\n\u003cli\u003eComputational chemistry groups benchmarking or validating models against quantum-mechanical reference standards, from a pilot set up to millions of molecules\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use Ai.Qimia\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eBuyers who need a published rate card and self-service checkout: no price of any kind appears on the site, and the only way in is a sales conversation\u003c\/li\u003e\n\u003cli\u003eProcurement, legal and compliance teams with document requirements: no terms of service, privacy policy, legal notice or data processing agreement is published\u003c\/li\u003e\n\u003cli\u003eDevelopers expecting to integrate unaided: the JSON-RPC API is claimed and live, but not one page of API documentation is published\u003c\/li\u003e\n\u003cli\u003eChemists and analysts without computational chemistry grounding: SMILES notation, isomer handling and quantum chemistry concepts are assumed from the first screen\u003c\/li\u003e\n\u003cli\u003eAnyone wanting a mobile app, a browser extension or a ready-made connector: the product is web and API only, and no third-party integration is named\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use Ai.Qimia\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eRead the home page and the process page first, to check that ConstruQt, ReaQt and InteraQt actually cover the chemistry you need to model\u003c\/li\u003e\n\u003cli\u003eEmail info@aiqimia.com to discuss trial licenses and pilot projects; the published contact page carries no form, no address and no email of its own\u003c\/li\u003e\n\u003cli\u003eOpen the application from the Try Now button on the home page, which leads to the sign-in screen at app.aiqimia.com\u003c\/li\u003e\n\u003cli\u003eRegister an account through the application's self-service form, which asks you to accept a terms of use and privacy notice it does not link to\u003c\/li\u003e\n\u003cli\u003eCreate a project and a molecule library to hold the structures you want to study\u003c\/li\u003e\n\u003cli\u003eEnter molecules in SMILES notation, either by typing them in text mode or by using the built-in drawing editor\u003c\/li\u003e\n\u003cli\u003eSelect the generation options you need: tautomers, conformers, protomers, zwittomers and stereoisomers\u003c\/li\u003e\n\u003cli\u003eRun the staged procedure, from Stage 0 through Stage 5, and follow each calculation status: in progress, draft, complete, failed or validated\u003c\/li\u003e\n\u003cli\u003eReview the resulting ensembles, descriptors and provenance metadata, and mark them as validated, or move on to the dedicated ConstruQt and InteraQt screens\u003c\/li\u003e\n\u003cli\u003eFor pipeline integration, call the JSON-RPC 2.0 API at api.aiqimia.com - and expect to agree the details directly with the vendor, since no API documentation is published\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eA physics-first method: quantum mechanics and Boltzmann-weighted energy ranking instead of 2D descriptors or heuristics, which is a genuine methodological difference rather than a repackaging\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eEnd-to-end ambition: the vendor claims its simulations reach past the synthetic route to yield, by-products and scale-up, and states on its process page that 90 percent of new molecules are de-risked before scale-up and scale-up time is 40 percent faster\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eNegative data - the failed experiments most labs simply discard - is explicitly treated as training signal, which few tools in this space bother to do\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eAPI-first design intended to slot into existing machine learning and cheminformatics pipelines rather than replace them\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eProvenance metadata shipped alongside results, which is exactly what dataset curation and audit trails need\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eScale claimed by the vendor: thousands of cores and millions of molecules per day, with a success rate above 98 percent on semi-empirical and quantum mechanical calculations\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eVerifiable surroundings: a named leadership team, an advisory board drawn from Evotec, SpiroChem and Qilimanjaro Quantum Tech, and Swiss public-innovation supporters shown on the home page - Innosuisse, Canton de Vaud, Biopole Lausanne and FIT\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo pricing is published at all: no amount, no tier, no currency, no pricing page, and the probed pricing paths return genuine 404 errors, so budgeting is impossible before a sales call\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo legal document is published: no terms of service, no privacy policy, no legal notice, no data processing agreement - and this is an absence of publication, not proof that such documents do not exist internally\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe application's sign-up form asks users to accept a terms of use and privacy notice that are reachable nowhere on the site or in the application itself\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNothing is published on data hosting, retention periods, sub-processors, or whether customer submissions are used to train the models\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eAPI-first integration is the central sales argument, yet no API documentation is published and no third-party integration is named anywhere\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe contact page is published but empty: it renders the word Contact and nothing else - no form, no address, no email - although the earliest archived version of the site did carry a working contact form\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe public footprint is very thin: five pages, one news post from April 2025, no named customer, no case study, no testimonial, and headline percentages that are not even rendered in the HTML\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eNo price is published. Ai.Qimia operates no pricing page, and a complete pass over the site, both sitemaps and the web application bundle returned no amount, no currency and no billing unit; the probed pricing and plans paths return genuine 404 errors. No free plan and no free trial are announced either: the home page offers \"trial licenses and pilot projects\" to be arranged by getting in touch, which describes negotiated licenses rather than a self-service trial. The application bundle does carry unpriced tier labels - a freemium tier, an Individual Tier and an Enterprise Tier - but these are internationalization strings that are never rendered to any user and carry no amount and no condition, so they cannot be read as a published price list. No payment processor is present anywhere in the code. Commercial access runs entirely through contact with the vendor at info@aiqimia.com, and prospective buyers should expect a quotation rather than a rate card. This record accordingly leaves the starting price, the currency and the billing unit empty, because none of the three is public.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how Ai.Qimia handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThere is no mention of the GDPR anywhere: not one occurrence across the site pages or the web application bundle, no cookie banner, no privacy policy, no data protection officer and no Article 27 representative. The Swiss Federal Act on Data Protection, the vendor's own home regime, is not mentioned either. No sub-processor is disclosed and no hosting location is stated. Ai.Qimia neither claims nor denies compliance, which is why this record leaves the compliance field empty rather than recording a negative. What is documented here is an absence of published information, not evidence of non-compliance: an EU buyer will have to request the vendor's data protection terms directly, because none can be read before making contact.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eNo published document from Ai.Qimia addresses ownership of the data. A full inventory of the site - the WordPress REST API, both sitemaps and a probe of the usual legal paths - returns five pages and one news post, with no terms of service, no privacy policy and no data processing agreement. The web application nevertheless asks each new user to tick a box reading \"I have read and I agree to the terms of use and privacy notice\", a string carried in the application bundle with no link and no URL behind it. Ownership of the molecules, reactions and computed results a customer submits is therefore governed by no document anyone can read before signing up, and by nothing this record can verify.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eNothing published states what Ai.Qimia may do with submitted data, and nothing states what a customer may do with the results. There is no usage policy, no license grant and no re-use clause, because no terms of service exist in public. Targeted searches for opt-out, do-not-train, disable-training and zero-retention wording found no match across the six site pages or the web application bundle. In practice the workflow sends molecules in SMILES notation and reaction definitions to a JSON-RPC API, and returns ensembles, descriptors and provenance metadata; whether those outputs may be redistributed, published in a paper or fed into a commercial model is left entirely undocumented. Nothing here says the vendor claims rights over customer chemistry - only that no public text grants, restricts or clarifies anything. Any team planning to re-use results should obtain a written license before uploading proprietary structures.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eNo retention rule is published. Ai.Qimia has no privacy policy, no terms of service and no security page, so nothing states how long projects, molecule libraries, reactions or calculation results are kept, whether they are ever anonymized, or how deletion is requested. Targeted searches for retention, storage, deletion and opt-out wording across the six site pages and the web application bundle returned nothing at all. The application clearly does persist data - projects, libraries, molecules, reactions and trials live inside user accounts and remain there between sessions - but nothing documents for how long, who may access them, or what becomes of them when an account is closed. These answers have to be requested from the vendor before proprietary structures are uploaded.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eAi.Qimia publishes nothing about where customer data is hosted or processed. No country, no region, no cloud provider and no sub-processor is named on any page of the site or in the web application bundle, and there is no privacy policy or security page in which such a statement could sit. The hosting fields of this record are therefore left empty rather than inferred.\n\nWhat can be observed from outside is infrastructure, not a commitment: the aiqimia.com domain resolves to 205.196.222.37, an address operated by DreamHost (AS26347, New Dream Network, LLC) in the United States, while the application is served from app.aiqimia.com and the JSON-RPC endpoint from api.aiqimia.com. Where a website is served says nothing about where calculation inputs, molecular structures or computed results are stored. The vendor is established in Switzerland, which would place it under Swiss data protection law, but the site never states this and never identifies the jurisdiction governing customer data. Any organization with a hosting or data residency requirement will have to obtain the answer in writing from the vendor.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting Ai.Qimia.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eYou are asked to agree to a contract you cannot read: the application's sign-up form requires accepting a terms of use and privacy notice that exist nowhere in public, so nothing documents what you have actually signed\u003c\/li\u003e\n\u003cli\u003eData governance is a blind spot: no privacy policy, no hosting location, no retention period and no statement on whether submissions train the models - a serious gap when the material uploaded is proprietary molecular structures\u003c\/li\u003e\n\u003cli\u003ePerformance claims are unverified: the 90, 40 and 100 percent figures on the process page are vendor assertions that are not even rendered in the HTML, and the 30 percent accuracy gain in the ReaQt announcement is credited to anonymous early adopters, with no named customer or case study anywhere\u003c\/li\u003e\n\u003cli\u003eOver-reliance is a real risk with predictive chemistry: ensembles, yields and mechanisms returned by the platform are model output, not experimental fact, and treating them as results - or letting junior chemists skip the reasoning that used to precede a synthesis - erodes exactly the judgment the tool is meant to support\u003c\/li\u003e\n\u003cli\u003eSupport is a single mailbox: the published contact page is empty, so info@aiqimia.com is the only usable channel, with no stated response time and no escalation path\u003c\/li\u003e\n\u003cli\u003eThe central sales argument has no manual behind it: API-first integration is claimed while no API documentation is published, which means vendor-dependent onboarding and real exposure if the relationship ends\u003c\/li\u003e\n\u003cli\u003eThe presence is recent, static and outside the EU: the domain was registered in April 2025 and the only news item dates from the same month, the vendor is Swiss so the GDPR does not apply automatically with no equivalent published commitment, and the earliest archived version of the site advertised contract research and consulting or development services that no longer appear - worth confirming what is still on offer\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eModerate, and the real barrier is domain expertise rather than IT. Account creation is self-service on app.aiqimia.com, and basic use means entering molecules in SMILES notation by text or drawing, choosing isomer options, submitting and tracking status. That assumes fluency in SMILES and in quantum chemistry concepts such as tautomers, protomers, conformers and transition states. The advanced route, a JSON-RPC 2.0 API, carries no public documentation, so integration effectively requires a conversation with the vendor. No tutorial, quick-start guide or user manual is published.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\n\u003cspan class=\"flag\"\u003eWeb app\u003c\/span\u003e\u003cspan class=\"flag\"\u003eAPI\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eSupported languages\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eEnglish\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind Ai.Qimia\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eAi.Qimia\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇨🇭 Switzerland\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:info@aiqimia.com\"\u003einfo@aiqimia.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/www.aiqimia.com\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.aiqimia.com\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.aiqimia.com\/process\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"12 2 2 7 12 12 22 7 12 2\"\u003e\u003c\/polygon\u003e\u003cpolyline points=\"2 17 12 22 22 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"2 12 12 17 22 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eFeatures\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.aiqimia.com\/process\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.aiqimia.com\/about\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.aiqimia.com\/about\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/www.aiqimia.com\/contact\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003crect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"\u003e\u003c\/rect\u003e\u003cpath d=\"m22 7-10 5L2 7\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eContact\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.aiqimia.com\/contact\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat does ConstruQt actually produce? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eConstruQt generates molecular ensembles weighted by Boltzmann energy ranking, together with 2D, 3D and electronic descriptors and provenance metadata that records how each result was obtained. The intended consumers are machine learning models and predictive modeling workflows that need physics-grounded inputs.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow is the approach different from ordinary cheminformatics descriptors? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eInstead of relying on 2D fingerprints or rule-based heuristics, the platform computes ensembles with quantum mechanics and ranks the resulting structures by Boltzmann-weighted energies. That is what lets it capture tautomers, protomers and stereoisomers that flat representations tend to lose.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich modules does Ai.Qimia offer? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThree are named. ConstruQt covers molecular ensembles, dimers, surfaces and proteins. ReaQt simulates complete reaction systems under realistic laboratory conditions, including multi-phase behavior and catalyst dynamics. InteraQt maps molecular interactions and transition states for mechanism elucidation.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow do you integrate it with an existing pipeline? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe vendor describes an API-first design and offers a JSON-RPC API, alongside its own web interface. Be aware that no API documentation is published, so an integration in practice means agreeing the interface details directly with Ai.Qimia.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there API documentation? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNone is published. The API is claimed on the home page and the endpoint is live, but no reference, no specification and no developer portal could be found on the site, on any subdomain or in the application bundle. That is an absence of published documentation, not proof that none exists internally.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does Ai.Qimia cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo price is public. There is no pricing page, no amount anywhere on the site or in the application, and no payment processor. The home page invites visitors to get in touch for trial licenses and pilot projects, so access is negotiated rather than purchased off a rate card.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there a free plan or a free trial? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNeither is announced. The trial licenses mentioned on the home page are commercial licenses to be negotiated, not a self-service free trial, and the unpriced tier labels found in the application code are never shown to users and carry no conditions.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there a mobile app? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo. Ai.Qimia is a web application backed by an API. No iOS or Android application, and no browser extension, is referenced anywhere on the site.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat guarantees are given about the data you upload? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNone that can be read in advance. There is no terms of service, no privacy policy, no statement about hosting location, retention or model training, and no data processing agreement. Teams uploading proprietary structures should request these commitments in writing before they start.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho publishes the tool and how do you reach them? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eAi.Qimia is established in Switzerland and led by Dr. Peter Jarowski as CEO, with Jules Eggli as COO and Willi Studer heading HR. The single published channel is info@aiqimia.com; the site's own contact page is empty.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick Ai.Qimia?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eAi.Qimia is a precise, well-defined technical proposition wrapped in an unusually thin public presence. The science is stated clearly: quantum-mechanical ensembles ranked by Boltzmann weighting, descriptors and provenance metadata for machine learning, then reaction and interaction simulation through ReaQt and InteraQt. The people behind it are named and checkable, from the leadership team to an advisory board drawn from Evotec, SpiroChem and Qilimanjaro Quantum Tech, and Swiss public-innovation bodies - Innosuisse, the Canton de Vaud, Biopole Lausanne and FIT - appear as supporters on the home page.\u003c\/p\u003e\n\u003cp\u003eCommercially, though, everything points to an early stage. There is no price, no API documentation, no terms of service, no privacy policy, no named customer and no case study. The headline percentages on the process page - 90 percent of molecules de-risked before scale-up, 40 percent faster scale-up, 100 percent of negative data captured - are vendor claims that are not even rendered in the page HTML, and the 30 percent accuracy gain in the ReaQt announcement is credited to unnamed early adopters. None of that makes the claims false; it makes them unverified. The domain itself was only registered in April 2025, and the site's single news item dates from the same month.\u003c\/p\u003e\n\u003cp\u003eThe practical consequence is clear. Everything a serious evaluation needs - contractual terms, data handling and hosting, retention, model training, pricing and API specifications - has to be obtained by contacting the vendor, because the site publishes none of it. For a computational chemistry or machine learning team with a real need for physics-grounded molecular data, a pilot project is a reasonable next step. For anyone who needs documented governance before uploading proprietary structures, the paperwork has to come first.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/www.aiqimia.com\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit Ai.Qimia\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Ai.Qimia","offers":[{"title":"Default Title","offer_id":58389491843403,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-ai-qimia-by-guidaio_88a91c0e-35fc-48e8-b767-ef037fcf64cf.png?v=1788727180","url":"https:\/\/guidaio.com\/products\/ai-qimia","provider":"Guidaio","version":"1.0","type":"link"}