Managed BetaBots review

Start with five perspectives. Scale only if the evidence is useful.

Submit one public product scenario for a small synthetic research sample. After delivery, BetaBots can prepare a custom proposal for a larger, engagement-specific study.

Request the free sample See the scope boundary

Two clearly different scopes

A sample is not a miniature deep-research report.

The free sample helps both sides assess fit. Larger research starts only after an agreed proposal, quote, timeline, and safe access plan.

Free sample

Five focused synthetic perspectives

5 synthetic BetaBots
one cost-efficient model
one agreed scenario
concise sample findings and evidence

Available without charge, subject to eligibility and capacity. Submission does not guarantee acceptance or a particular finding.

Request the free sample

Paid deep research

A custom study for broader questions

up to 100 synthetic BetaBots
research-grounded diverse cohorts
multiple higher-quality models chosen per engagement
expanded evidence and a detailed prioritized report

Scope, model mix, quote, delivery timeline, acceptance, and payment are set out in a custom proposal after the sample.

Ask about a custom proposal

Dimension	Free sample	Paid deep research
Synthetic cohort	5 synthetic BetaBots	Up to 100 synthetic BetaBots
Models	One cost-efficient model	Multiple higher-quality models chosen for the engagement
Research design	One agreed scenario	Research-grounded diverse cohorts and agreed scenarios
Output	Concise sample findings and evidence	Expanded evidence and a detailed prioritized report
Commercial step	No charge; subject to eligibility and capacity	Custom proposal and quote after the sample

Use the evidence in context

Synthetic research complements rather than replaces the methods you already need.

Real users

Only real customers carry their lived context, consequences, and genuine purchase decisions.

Deterministic QA

Repeatable test suites remain the right tool for specified behavior and release regression coverage.

Security testing

Use qualified security review for vulnerabilities, threat models, compliance, and sensitive systems.

Professional advice

BetaBots output is not legal, medical, financial, accessibility-certification, or other professional advice.

Synthetic sessions are probabilistic. They may miss important issues, surface false positives, or disagree with real users. No particular result, flaw detection, revenue effect, or conversion improvement is promised.

Request intake

Describe one safe public scenario.

Requests are reviewed for authorization, fit, safety, eligibility, and current capacity. Acknowledgement confirms receipt—not acceptance of the research engagement.

SubmitGive the public URL, scenario, audience, constraints, and contact email.
ReviewBetaBots aims to review and respond within 3 business days.
Agree accessIf needed, arrange a safe test account outside this form.

Dimension

Free sample

Paid deep research

Synthetic cohort

5 synthetic BetaBots

Up to 100 synthetic BetaBots

Models

One cost-efficient model

Multiple higher-quality models chosen for the engagement

Research design

One agreed scenario

Research-grounded diverse cohorts and agreed scenarios

Output

Concise sample findings and evidence

Expanded evidence and a detailed prioritized report

Commercial step

No charge; subject to eligibility and capacity

Custom proposal and quote after the sample

Describe one safe public scenario.

Requests are reviewed for authorization, fit, safety, eligibility, and current capacity. Acknowledgement confirms receipt—not acceptance of the research engagement.

SubmitGive the public URL, scenario, audience, constraints, and contact email.

ReviewBetaBots aims to review and respond within 3 business days.

Agree accessIf needed, arrange a safe test account outside this form.