Technology

How EvalOps keeps autonomous systems accountable

EvalOps pairs deterministic telemetry capture with an evaluation engine and governance workflows so AI decisions remain traceable, reviewable, and enforceable.

Principles

The pillars behind EvalOps architecture

Telemetry-first design

Explain every LLM decision

Every prompt, response, tool call, and policy check is captured and replayable. Evaluations only matter when stakeholders can inspect the trace.

Governance-native workflows

Compliance without friction

Retention, access, and audit requirements are part of the product—not add-ons for enterprise deals.

Modular architecture

Evolve with your program

Start with Community Edition and Professional, then add dedicated infrastructure, bespoke connectors, or private regions when you need them.

Layers

Three-layer architecture built for accountability

Layer 1

Telemetry ingestion

Grimoire agents, CI runners, and production apps stream traces into EvalOps with deterministic capture, optional redaction, and workspace isolation.

  • Deterministic snapshots with git metadata and build fingerprints
  • Field-level redaction before data leaves your environment
  • Regional data planes or customer-managed storage for regulated workloads
Layer 2

Evaluation engine

Scorecards, monitors, and scenario orchestration turn telemetry into decisions. Regression hunts and shadow runs highlight what changed and why.

  • Reusable scorecards with statistical thresholds and policy checks
  • Scenario orchestration with retries, fallbacks, and shadow runs
  • CI gates, pager integrations, and annotations when thresholds trip
Layer 3

Governance & collaboration

Role-based workspaces, retention policies, attestations, and exports keep product, safety, and compliance aligned around the same evidence.

  • RBAC, SSO/SAML, and SCIM provisioning
  • Retention policies across tiers with custom residency
  • Audit logs, policy mapping, and compliance packages via the Trust Center
Core services

Platform foundation

API & scheduler orchestrate scorecards and monitors, telemetry store keeps encrypted traces with replayability, and analytics drive dashboards and alerts.

Integrations

Your stack, connected

Provider connectors for OpenAI, Anthropic, Azure, Bedrock, Groq, Cohere, and custom HTTP endpoints plus workflow hooks for GitHub Actions, GitLab, CircleCI, Jenkins, Slack, PagerDuty, and Datadog.

Deployment

Run EvalOps where you need it

Professional SaaS, Enterprise dedicated infrastructure, and Private Cloud co-managed deployments with customer-controlled data planes and sovereign regions.

See it in action

Ready to connect telemetry, evaluation, and governance?

Book a guided walkthrough or explore the Spellbook to spin up pre-built evaluation recipes.