RESPAIEvidence that your AI is responsible.
RESPAI tests AI systems for bias, robustness and quality, then turns every result into traceable evidence, mapped to the frameworks your auditors, regulators and customers ask about.
Now inviting design partners · Dallas–Fort Worth, Texas
Client's hiring model · v2.3
- Selection-rate impact ratioNYC LL144 § 5-301 · sex, race/ethnicity0.91 · pass
- Robustness under input noiseEU AI Act Art. 15 · accuracy, robustness98.2% stable
- Human oversight documentedISO/IEC 42001 · A.9 · use of AI systemslinked
- Drift since last runNIST AI RMF · MEASURE 2.4review
A policy is a promise. Evidence is proof.
Most organizations can describe how their AI should behave. Far fewer can show, on a given date, how it did, with the data, the test and the result tied together.
How it works
One engine, four steps, run as often as your models and the rules change.
Run real evaluations
Bias, robustness and quality tests on your model and data, using established statistical methods.
Record the provenance
Each result is tied to the exact dataset, model version, code and time it ran, with tamper-evident hashes.
Link to the frameworks
Results are mapped to the clauses they support, so nobody has to translate test output into compliance language by hand.
Share the evidence
Export a clean record for auditors, regulators, customers or your own governance platform.
Mapped to the frameworks that matter
We don't issue our own certificate. We produce the evidence that recognized standards and regulations ask for.
AI management system
Evidence for the controls an organization uses to govern its AI.
High-risk obligations
Testing, accuracy, robustness and documentation for conformity.
Measure and manage
Repeatable measurements behind the risk-management functions.
Hiring tool bias audits
Impact-ratio calculations in the format the rule requires.
Who it's for
Three kinds of teams who need proof, not just policy.
Companies using vendor AI
Check the AI you buy before and after it goes live, and keep a record of what you verified.
Employers and HR tech
Prepare the bias analysis automated hiring tools need, and repeat it as candidates and models change.
Governance platforms
Add rigorous, traceable testing to your product through an engine that plugs into your workflow.
What we stand for
RESPAI started from a simple belief: AI should make decisions about people better, not quietly worse.
Fair
Outcomes are tested across the people they affect, not assumed.
Transparent
People can see when AI is involved and how it was checked.
Accountable
Every result has an owner, a date and a source.
Private
We test with the least data needed, and your data stays yours.
Engineering-first, in early access
RESPAI is founder-led and engineering-first, built by a software engineer with over two decades of production experience, including leading a team that shipped AI-powered document redaction at scale. We're now inviting a small number of design partners to shape the first release.
- Company
- RESPAI LLC
- Based in
- Frisco, Texas, USA
- Stage
- Early access
- contact@respai.org
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Become a design partner
Tell us what AI you use or build, and what you need to prove. We reply personally to every message.
Email contact@respai.org