Swept AI Overview, Evaluate, Supervise, Prove

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.

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.

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Live Supervision

Production sampling and baselines track quality over time. Drift, bias, and variance detectors raise alerts, and triage views guide owners to fixes.

Proof Reports

Summaries reviewers understand: goals, data scope, test design, thresholds, results, and ownership. Private links with access controls and PDF export for audits.