Approve AI With Evidence, Operate With Confidence
Evaluate on your data before rollout, supervise in production, publish audit-ready proof for reviews and renewals.
Teams at AI-forward companies work with SweptAI to keep their users safe
Decide with Data
Benchmark agents, models and prompts on your workloads, compare quality, safety, cost, and latency, then choose with confidence.
Keep Quality Steady
Track real usage, set baselines, catch drift, bias, and variance early, route fixes quickly.
Share Evidence Reviewers Accept
Publish human-readable proof that answers common security and legal questions, with linked artifacts and ownership.
How Swept AI Works, End to End
Evaluate Before Rollout
Connect a sample of your data, define role-aware tasks and acceptance thresholds, run side-by-side tests, create an executive scorecard.
Supervise in Production
Sample live traffic after launch, track baselines, detect drift and variance, and send alerts with the context teams need.
Prove with Shareable Reports
Create proof reports with scope, methods, thresholds, and outcomes, then share a private link or export for reviews.
Evaluate Before Rollout
Connect a sample of your data, define role-aware tasks and acceptance thresholds, run side-by-side tests, create an executive scorecard.
Supervise in Production
Sample live traffic after launch, track baselines, detect drift and variance, and send alerts with the context teams need.
Prove with Shareable Reports
Create proof reports with scope, methods, thresholds, and outcomes, then share a private link or export for reviews.
Swept AI Delivers
Evaluation Scorecards
Role aware test suites reflect real tasks and edge cases. Thresholds give clear pass or fail gates. Side-by-side comparisons make model and prompt choices obvious.
Learn more
Live Supervision
Production sampling and baselines track quality over time. Drift, bias, and variance detectors raise alerts, and triage views guide owners to fixes.
Learn more
Proof Reports
Summaries reviewers understand: goals, data scope, test design, thresholds, results, and ownership. Private links with access controls and PDF export for audits.
50+ Integrations and Counting
Security You Can Trust
Summaries reviewers understand: goals, data scope, test design, thresholds, results, and ownership.
“Swept AI transformed our AI from a compliance nightmare into our competitive advantage. Their Trust Score opened doors that were previously closed to us.”
German Scipioni
CEO, Forma Health
FAQs
What is AI safety?
What types of agents can I evaluate?
How do I share proof with reviewers?
What is AI supervision?
AI supervision is the active oversight of AI systems—especially autonomous or agentic ones—to ensure they behave safely, predictably, and within enterprise constraints.
It's not just monitoring. It's about policy, intervention, and alignment.
Swept AI enables dynamic supervision policies based on task risk, model maturity, and operational feedback. Think: audit trails, guardrails, and real-time check-ins for agents making real-world decisions.