Adaptiv.Me
Adaptiv.Me is an independent AI product studio that designs, engineers and ships custom AI products for education, culture and finance teams, combining experience design, small language models and multi-agent systems inside commissioned build sprints.
What is Adaptiv.Me?
Adaptiv.Me is not a piece of software you sign up for: it is an independent AI product studio that designs and builds AI products on commission. The site presents it as a futuristic AI design and development company whose teams design experiences, engineer applications and craft open-source model forks and small language models, complete with AI video systems, for organisations that need a reliable launch rather than a demo.
Four verticals structure the offer. In EdTech, the studio builds adaptive learning platforms, intelligent curriculum builders, AI tutors and assessment copilots, which it says are deployed across twelve countries; the product it cites is Adapt for AI. In FinTech, it builds conversational copilots, explainable decisioning models, KYC automation, risk models and compliance dashboards for regulated financial teams, citing Paays and Futr. In Culture Tech, it builds generative AI archives, cultural ontologies, visitor guidance systems and immersive digital journeys for museums and cultural institutions, citing the Magic AI App. A fourth vertical, Agentic AI, covers multi-agent systems, LLM orchestration layers and workflow automation, citing Lama, Globist and Ask Setu. Three flagship builds are showcased: Adaptive Learning OS for universities, Culture Atlas for heritage work, and Trust Fabric, a decisioning copilot with explainability widgets for operations teams.
Work is organised in cross-functional pods covering discovery, experience strategy, model experimentation, engineering and lifecycle operations, run through design sprints, technical spikes and ops reviews. The studio claims more than thirty-two products shipped, AI experiences live across eighteen markets, more than fifty-eight model assets, and four studios in Paris, Bengaluru, Ajmer and Grenoble with follow-the-sun delivery five days a week. Eight people appear on the team page, with Titash Neogi identified as founder.
Alongside client work the studio runs Project Bhaskar, its Indian AI research lab exploring the meeting point of Indian culture and artificial intelligence through Lab, Incubator and Residency programmes, including Utkarshini, a model built on a scholar-reviewed Vedic corpus. Engagement runs through a single six-step form, with a custom sprint proposal promised within forty-eight hours.
What it does
- Design and engineer custom AI products from discovery through to a production launch
- Build multi-agent systems, LLM orchestration layers and autonomous workflow pipelines
- Adapt models for a client: open-source forks, small language models and evaluation suites
- Develop adaptive learning platforms, AI tutors, curriculum builders and assessment copilots
- Build explainable decisioning copilots, KYC automation and compliance dashboards for regulated finance
- Create generative archives, cultural ontologies and visitor guidance systems for cultural institutions
- Run post-launch lifecycle operations through dedicated delivery pods and ops reviews
When to use Adaptiv.Me / When not to
A quick filter to help you decide if Adaptiv.Me is the right fit.
When to use Adaptiv.Me
- Founders with an AI or machine learning product idea who need a team to take it from concept to production
- Product leaders at EdTech companies and universities building adaptive learning, AI tutoring or assessment platforms
- Regulated financial teams that need explainable decisioning models, KYC automation or compliance dashboards
- Museums, archives and cultural institutions building generative archives, visitor guidance or immersive digital journeys
- Operations and engineering teams that want multi-agent systems, LLM orchestration layers or workflow automation built for them
When not to use Adaptiv.Me
- Anyone looking for a ready-made AI tool they can sign up for and start using the same day
- Buyers whose budget sits below the studio's lowest bracket of roughly 5,000 USD
- Teams that need a published price list before they will start a conversation
- Procurement and legal departments that require terms, a privacy policy and a data processing agreement to be publicly available
- Developers hunting for an API, an SDK, a mobile app or a browser extension
How to use Adaptiv.Me
A typical end-to-end flow, from setup to results.
- Read the capabilities page to work out which of the four verticals matches your project
- Browse the case studies in the journal — Magic, Lama, Globist, Ask Setu, Paays, Adapt for AI, Arogyagram — to judge the track record
- Open the Book a sprint form, which runs to six steps
- Step one: pick the project type, from AI or ML product, web or mobile app, internal tool or automation, to MVP or prototype
- Step two: state your stage, from just an idea or a brief in hand, to an existing product needing help or a project ready to build
- Step three: choose a timeline, from as soon as possible, one to two months or three to six months, to just exploring
- Step four: select a budget bracket, from 5,000 to 20,000 USD, 20,000 to 75,000 USD, above 75,000 USD, or undecided
- Step five: describe in your own words the core problem you are trying to solve
- Step six: leave your full name, email address and company
- Wait for the studio's reply: it undertakes to assemble a custom sprint proposal within forty-eight hours, or write to the general mailbox instead
Pros & Cons
Pros
- A focused offer built on four named verticals rather than generic agency work
- A documented portfolio: nine named and dated case studies published in the journal between March and July 2026
- Real model capability — forks, small language models, evaluation suites — which is unusual for a design-led studio
- Teams across Europe and India with follow-the-sun delivery five days a week
- A very short entry path: six questions and an answer promised within forty-eight hours
- An in-house research programme, Project Bhaskar, with regular publishing rather than marketing copy alone
- An explicit stance on responsible and culturally aware AI, argued at length in the journal
Cons
- No legal documentation at all: terms, privacy policy and cookie policy are linked from every footer but all return 404
- No GDPR statement, no data processing agreement, no sub-processor list and no retention rule
- No public pricing; the only figures on the site are budget brackets the prospect declares about themselves
- No postal address, no complete legal entity name and no registration number anywhere on the site
- A single contact channel: one general mailbox, or the booking form
- Several broken links, including See our deck, and a Client portal link that simply points at the journal
- Headline figures — thirty-two products, eighteen markets, twelve countries — are given without source or method
Pricing & Plans
No pricing is published. The pricing page does not exist and no amount appears anywhere on the site: engagements are quoted individually, the studio undertaking to assemble a custom sprint proposal within forty-eight hours of receiving a brief. There is no free plan and no free trial. The only monetary figures visible are the budget brackets offered in the booking form — 5,000 to 20,000 USD, 20,000 to 75,000 USD, and above 75,000 USD — but these are declared by the prospect rather than quoted by the studio, and must not be read as a price list. The lowest bracket does nonetheless indicate that engagements begin in the low five figures in US dollars.
Data, GDPR & hosting
A consolidated view of how Adaptiv.Me handles your data.
GDPR overview
There is no GDPR mention anywhere on the site. A search across every page collected, visible text and archived HTML alike, returns no occurrence of GDPR, data processing agreement, sub-processor or data subject rights. The three legal links in the footer all return HTTP 404, so no privacy notice exists to inspect. No Article 27 representative is named, no data protection officer is designated, and the only address published anywhere is a general mailbox. The silence is worth noting because the studio advertises two of its four locations in France, Paris and Grenoble, which places its activity squarely within the scope of the regulation. Prospective clients should expect to obtain every commitment contractually, because none is available publicly.
Who owns the data?
Nothing can be established from the site. The footer of every page links to Terms and conditions, a Privacy Policy and a Cookie policy, yet all three URLs returned HTTP 404 at the time of review: no contract is published. There is therefore no public statement about who owns project data, deliverables, source code or the models fine-tuned during an engagement, and none about what the studio may do with client material or with whom it may share it. Ownership has to be settled privately in the sprint agreement, with nothing on the website to anchor those terms or to fall back on if they are ever disputed.
Reuse rights
No contractual document is accessible, so the site says nothing about whether a client may reuse, republish or resell the data and deliverables produced during an engagement, nor whether the studio reserves any right over them. The only visible data collection is the six-step booking form, which gathers project type, stage, timeline, budget bracket, a free-text description of the business problem, then a name, an email address and a company name — with no stated purpose, no retention rule and no reuse terms attached to any of it. Any permission to reuse material must be written into the private agreement.
Data retention & training
Hosting summary
No hosting jurisdiction is declared. With no privacy policy, no terms and no trust or security page, the site never states where client data would be stored, processed or backed up, nor which sub-processors would be involved. Two technical observations were made during collection, and neither should be read as a commitment: the domain resolves to an anycast address on Amazon's network in the United States, and the team photographs on the homepage are served from an S3 bucket in the Canadian ca-central-1 region. Both concern delivery of the marketing site itself, not the systems the studio would build or operate for a client. Anyone with a data residency requirement — an EU public body, a regulated financial institution, a university handling student records — will have to obtain the hosting location, the sub-processor list and the transfer mechanism contractually, because none of it is published.
Things to keep in mind
Risks and trade-offs to weigh before adopting Adaptiv.Me.
- With no published contract, intellectual property in deliverables, ownership of fine-tuned models and the fate of training data are all left to a private negotiation
- The booking form collects a free-text description of your business problem with no privacy notice attached, so confidential context may be shared before any agreement exists
- No GDPR commitment is published even though the studio advertises offices in Paris and Grenoble
- Neither a postal address nor a complete legal entity name appears on the site, so the counterparty cannot be identified from public information
- Building a critical AI system with a single external studio creates a dependency that is hard to unwind, especially in regulated finance
- Headline figures cannot be checked, which makes it easy to over-estimate the capacity actually available before a project starts
- AI systems built for education and finance carry bias, explainability and accountability duties that remain with the client and must be written into the contract
Setup & Integrations
Technical difficulty
There is nothing to install and no technical setup at all: the entry point is a six-question web form. The difficulty lies elsewhere. Engaging the studio means scoping a real problem, committing a budget that starts in the low five figures and accepting a timeline the form itself frames in weeks to months. Adaptiv says it takes on discovery, design, model strategy, engineering and post-launch operations, so what a client needs is a decision-maker and a product owner rather than an engineering team of its own.
Supported languages
Behind Adaptiv.Me
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Is Adaptiv.Me a tool I can use myself?
Which sectors does the studio work in?
How do I engage the studio?
How much does an engagement cost?
Is there a free trial or a free plan?
Does the studio publish its terms and privacy policy?
Where are the teams based?
What has the studio actually built?
What is Project Bhaskar?
Is there an API or a mobile app?
Should you pick Adaptiv.Me?
Adaptiv.Me is a credible, clearly positioned AI product studio rather than a tool. The offer is legible — four verticals, named flagship builds, a model practice that goes beyond wrapping someone else's API — and the journal carries nine dated case studies alongside a steady stream of writing on Indic language models, responsible AI and cultural context. For a team that wants an AI product designed, built and operated by someone else, and that recognises itself in education, regulated finance, cultural heritage or agentic workflows, this is a reasonable studio to talk to. The cost of asking is low: six questions and an answer promised within forty-eight hours.
What the site does not do is give a buyer anything to hold on to. No terms, no privacy policy and no cookie policy are published — the three footer links return 404 — and there is no GDPR statement, no data processing agreement, no sub-processor list, no retention rule, no postal address and no complete legal entity name. Headline claims of thirty-two products shipped and a presence in eighteen markets come with no source. Several links on the site itself are broken. None of that disqualifies a services business, where the contract does the work a website normally does, but it shifts the whole burden of diligence onto the first conversation.
Anyone considering an engagement should therefore ask, in writing and before signing, for the identity and registered address of the contracting entity, for ownership of code, data and any fine-tuned models, for GDPR commitments and a data processing agreement, and for the retention and deletion rules that will apply to whatever is handed over. The work looks solid; the paperwork simply is not on the website.
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