CogBias AI
CogBias AI inspects written questions for cognitive bias and names the phrase behind each one, then proposes neutral rephrasings. It covers surveys, chatbots and emails through a web app and a browser extension, from USD 20 monthly.
What is CogBias AI?
CogBias AI is a subscription platform that reads written questions and flags the cognitive biases their wording may introduce. Its scope is deliberately narrow: rather than rewriting text for style, it examines how a question is phrased and what that phrasing is likely to do to the answers it collects. The vendor frames the tool around three project types shown on the homepage, surveys, chatbots and emails, and presents it as a copilot for people who ask questions for a living.
Three pillars are advertised. The first is detection of bias in a submitted question, with each bias attributed to the specific phrase that induces it rather than folded into one opaque score. The second is rephrasing in a single click, weighing all detected biases together and aiming at the objective the user has set for the project. The third is quality scoring, meant to show how the wording of a question affects the quality of the insight it produces.
Two surfaces are documented. A web application, served from a beta subdomain and built with FlutterFlow, organises work into projects that carry an objective, an overall bias breakdown and a per-question view listing the biases found and the suggested rewrites; sign-in goes through Google or Firebase. A browser extension performs the same detection in real time inside the document being written, which the vendor illustrates on a word processor. No store listing for that extension is published, so its installation path is undocumented.
The company is CogBias AI, Inc. Its published leadership includes a co-founder and chief executive, a board officer holding a doctorate in artificial intelligence and more than thirty patents, and a chief science officer with graduate psychology degrees who teaches at Rochester Institute of Technology. Logos shown under a support heading name Rochester Institute of Technology, Georgia Tech, ATDC and Product Coffee, which are university and accelerator affiliations rather than investors or certifications.
What the site does not document matters as much: no bias taxonomy, no validation study, no benchmark and no accuracy figure. Pricing starts at USD 20 per month and there is no free plan.
What it does
- Detect cognitive bias in a written question or passage
- Pinpoint which exact phrase induces which bias
- Generate one-click rephrasings that weigh several biases at the same time
- Score how the wording of a question affects the quality of the insight it returns
- Run detection in real time in the browser while writing, through the extension
- Organise work as projects carrying an objective and an overall bias breakdown
- Summarise results from supplied templates
When to use CogBias AI / When not to
A quick filter to help you decide if CogBias AI is the right fit.
When to use CogBias AI
- Survey and questionnaire designers, whose wording decides what the answers are worth; surveys are one of the three project types the site advertises.
- User researchers and customer-insights teams, the audience the homepage addresses when it talks about uncovering audience biases and refining questions.
- Product managers validating an idea before building it, the use the about page puts forward: gathering real user feedback and testing assumptions.
- Conversational designers writing chatbot scripts, named alongside surveys and emails among the supported project types.
- Marketers and copywriters drafting customer-facing emails, the third project type shown, where a leading question quietly shapes the reply.
When not to use CogBias AI
- Anyone who wants to test before paying: the cheapest plan is USD 20 per month and neither a free plan nor a free trial is published.
- Buyers under regulated or public-sector procurement, who will ask for a data processing agreement, a subprocessor list and a hosting jurisdiction, none of which the site publishes.
- Developers who want to call bias detection from their own stack: no API documentation exists and API access sits on the contact-sales Enterprise plan.
- Teams working mainly outside English: no language list is published, and multi-language support appears only as an unspecified Enterprise bullet.
- Anyone who needs an instrument backed by published evidence: no bias taxonomy, validation study, benchmark or accuracy figure is documented, and no certification is claimed.
How to use CogBias AI
A typical end-to-end flow, from setup to results.
- Pick a plan on the pricing page and pay through the hosted Stripe checkout, or use the on-page form to request a demo if the Enterprise plan is the one you need.
- Sign in to the web application on the beta subdomain, through a Google or Firebase login.
- Create a project and state the objective it serves.
- Choose the project type that matches your material: surveys, chatbots and emails are the ones shown.
- Paste or submit the questions or the content you want analysed.
- Read the overall bias breakdown reported for the project.
- Open the question view to see the biases found and the phrase inducing each one.
- Apply a one-click rephrasing suggestion, or iterate on the wording yourself.
- Check the quality score attached to the question.
- Summarise the results from one of the supplied templates, and install the browser extension if you also want detection while you write.
Pros & Cons
Pros
- A narrow, legible purpose: it works on bias in question wording instead of behaving as a general-purpose rewriter.
- Each bias is attributed to the phrase that induces it, which is more workable than a single undivided score.
- The output is actionable: a rephrasing to accept or reject, not only a diagnosis.
- It runs where the writing happens, through a browser extension, as well as in the web application.
- Pricing is public and self-serve: two of the three plans carry an amount and lead straight to a hosted checkout.
- Submitted texts are processed but not stored unless the user saves them, and the privacy policy states that data is not sold.
- The published team has relevant domain background: a chief science officer in cognitive science who teaches at Rochester Institute of Technology, and a board officer with a doctorate in artificial intelligence and more than thirty patents.
Cons
- No free plan and no documented free trial: the first USD 20 is spent before the tool has been seen working on your own material.
- No bias taxonomy, validation study, benchmark or accuracy figure is published, so detection quality cannot be assessed from outside.
- No terms of service exists at all, which leaves ownership of submitted text and of the outputs, licensing and liability entirely unaddressed.
- The privacy policy is six short sections long and undated, never names the GDPR or any other regulation, and is accompanied by no data processing agreement, no subprocessor list and no disclosed hosting jurisdiction.
- The product is still presented as a beta: the application is served from a beta subdomain and beta labels appear in the product screenshots, while paid subscriptions are already live.
- A single personal mailbox is the only published contact channel, covering support, privacy requests and Enterprise sales alike.
- Loose ends in the shop window: the browser extension appears in imagery with no store listing, the API is an Enterprise bullet with no documentation, the footer LinkedIn link opens an email instead, and several spelling errors survive in customer-facing copy.
Pricing & Plans
There is no free plan. The lowest published price point is USD 20 per month for the Standard plan, taken as a subscription through a hosted checkout. No free trial is documented, and no refund or money-back terms are published. Above it, the Pro plan costs USD 100 per month or USD 1,000 per year, and the Enterprise plan carries no public price and is quoted on request.
- access to bias analysis
- templates for summarising results and a support response within 48 hours. Bought through a hosted Stripe checkout.
- text analysis tools
- unlimited data set size
- customisable workflows
- priority support
- a dedicated account manager
- data security enhancements and team collaboration features.
- custom cognitive bias models
- multi-language support
- advanced visualisation dashboards
- scalable API access
- a dedicated AI consultant
- compliance tools and real-time reporting.
Data, GDPR & hosting
A consolidated view of how CogBias AI handles your data.
GDPR overview
The site never mentions the GDPR: the term appears nowhere on its public pages, and neither do CCPA, SOC 2, ISO 27001 or HIPAA. No legal basis for processing is stated, no data protection officer or Article 27 EU representative is named, and no international transfer clause is published. The privacy policy, printed inline on the security page in six short sections, carries no effective or last-updated date. The rights it grants are described without reference to any regulation: users may request deletion of their data at any time, and access and update their information from the account dashboard. The company says it retains minimal personal data for as long as necessary to provide the service or meet legal obligations. Security is described only in general terms, with no certification named. Compliance tools appear once, as an Enterprise plan bullet naming no regulation.
Who owns the data?
No terms of service exists on the site, so no clause states who owns the texts submitted or the rephrasings returned. The only data document is the privacy policy printed on the security page. It says texts sent for bias detection are processed but not stored unless the user explicitly saves them, and that account data covers name, email address and the Google or Firebase login method. The company states that it does not sell data, and that anonymised data may be shared with research partners or used for product development. Users can access and update their information from the account dashboard and request deletion at any time. No controller or processor role is defined anywhere.
Reuse rights
Because no terms of service is published, nothing states whether the user may reuse, publish or resell the bias reports and rephrasing suggestions the tool returns. There is no licence grant, no restriction on commercial use and no attribution requirement to read: the question is unanswered rather than answered permissively. What is documented sits in the privacy policy. On the user side, information can be accessed and updated from the account dashboard, deletion can be requested at any time, and marketing communications can be opted out of. On the vendor side, the same policy allows anonymised data to be shared with research partners or used for product development. Anyone working under a contractual constraint on reuse should ask for written terms before relying on the output.
Data retention & training
Hosting summary
No hosting jurisdiction is disclosed. The site names no country, region or data centre for stored data, offers no residency option, publishes no international transfer clause and gives no encryption detail; security is described in general terms only. The privacy policy mentions two third parties in passing, Stripe for payment and Google or Firebase for sign-in, but an incidental mention is not a subprocessor list. It also states that texts submitted for analysis are processed and not stored unless the user saves them, which narrows the stored surface without saying where the remainder sits. The company is CogBias AI, Inc. and publishes no postal address, so even its operating jurisdiction is unstated. Two technical observations belong here as observations, not vendor statements: the marketing site resolves to an anycast address announced by Amazon's network, which identifies a content delivery edge and not a storage location; and the beta application loads assets from the Google Cloud storage used by its FlutterFlow hosting. Neither says where customer data is kept. A residency requirement will have to be put to the vendor directly.
Things to keep in mind
Risks and trade-offs to weigh before adopting CogBias AI.
- Automation bias: treating the score as a verdict and stopping there, so a tool meant to reduce bias becomes a new source of it.
- One-click rephrasing can flatten intent, stripping out the nuance or the deliberate framing a researcher actually wanted.
- Bias is culture- and context-dependent, and no taxonomy or validation evidence is published, so the quality of the detection cannot be checked from outside.
- De-skilling: outsourcing question design erodes the practitioner's own methodological judgement over time.
- False reassurance: the vendor's promise of bias-free insight is a strong claim for a product with no published accuracy figure, and a clean report does not make a study neutral.
- Submitted text may carry participants' personal data, yet no data processing agreement, subprocessor list or hosting jurisdiction is published, and the policy allows anonymised data to be shared with research partners with no opt-out documented.
- A beta product sold by subscription, with one personal mailbox as the only contact channel, carries continuity and support risk.
Setup & Integrations
Technical difficulty
Getting started is easy for the web application and vague for the extension. Nothing is installed: you subscribe through a hosted checkout, sign in with a Google or Firebase account and create a project, with no credentials to configure and no sales call for the two self-serve plans. The browser extension needs an install step, but no store listing is published, so that path is undocumented. There is no API to wire up outside the Enterprise plan, and no help centre, tutorial or onboarding documentation on the site to follow.
Deployment
Behind CogBias AI
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What does CogBias AI actually detect?
What kind of material can I run through it?
Where does the tool run?
Is there a free plan or a free trial, and what do the plans cost?
Is there an API?
Are the texts I submit stored?
Is my data sold, and can I have it deleted?
Is the tool GDPR compliant?
Is this a finished product?
How do I reach the company or arrange an Enterprise plan?
Should you pick CogBias AI?
CogBias AI does one thing and says so plainly: it examines the wording of the questions you ask and reports the cognitive biases that wording may introduce, with a rephrasing to consider. That focus is the main reason to look at it. Attributing each bias to a specific phrase is more workable than a single score, the browser extension puts the check where the writing actually happens, and the published team has real background in cognitive science and artificial intelligence.
The reservations concern documentation rather than intent. No bias taxonomy, validation study, benchmark or accuracy figure is published, so a buyer cannot judge how well detection works without paying first, and there is no free plan or trial to make that test cheap. The product is still presented as a beta. Governance is thinner still: no terms of service exists, so nothing is written about ownership or reuse of submitted text and outputs; the privacy policy runs to six undated sections, never mentions the GDPR, and comes with no data processing agreement, no subprocessor list and no disclosed hosting jurisdiction. One personal mailbox handles support, privacy and sales.
It is worth a month of subscription for survey designers, user researchers and product teams who write questions often and can judge the suggestions themselves. Before committing a budget, ask the vendor for three things: written terms covering ownership and reuse of the outputs; a data processing agreement with subprocessors and hosting locations, if participant data will pass through the tool; and whatever evidence exists behind the detection itself. Used as a second reader on wording, the tool is useful. Read as proof that a questionnaire is neutral, it is not.
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