Product says one thing.
Code does another.
Iterance verifies the truth.

Iterance is building a symbolic layer from your codebase - connecting architecture, product, and outcomes. Continuously verified, queryable by agents and people.

System

Connect.
Map.
Surface.

Point Iterance at any Git repository and a verified knowledge graph will be built automatically - no SDKs, no instrumentation. The graph stays current as your code evolves.

The vision
terminal

Context Integrations

IntegrationStatus
Git RepositorySupported
Actions / CI/CDSupported
Infrastructure ConfigsComing Soon
Product Documents & ArtefactsComing Soon
APIsPlanned
Infrastructure LogsPlanned
Context

Structured
context, not
tribal knowledge

The decisions behind the code - traced, connected, and verified. What used to live in the heads of senior staff and distinguished engineers is now structured and always accessible.

Extracted insights
Insight4 weeksResolution cycleEngineering velocity
InsightTop 20%Onboarding stack maturityUser journey ease/speed
Insight42%Reliability gainCapability trajectory
Verified claims
3 assertions·4w ago·Product Signal

Churn spike detected - regulation-driven code change degrading identity verification and onboarding

Verified
5 assertions·1w ago·Architecture & LLMOps

Orchestration layer refactored for parallel tool execution and shared memory

Verified
4 assertions·5d ago·Architecture & LLMOps

2 new judges updated to match core system context and reasoning breadth

Verified
3 assertions·3d ago·Product Signal

Eval coverage recalibrated - false positive rate 12% to 3%

Verified
4 assertions·2d ago·Outcomes

Task completion rate 64% to 91% - traced to orchestration refactor and eval coverage

Verified
3 assertions·1d ago·Outcomes

Enterprise onboarding reduced from 30 min to under 2 min on verified orchestration layer

Verified
Why Iterance Is Different

Continuous
Verification

A symbolic layer connecting code to product strategy - continuously verified and updated. When layers drift, Iterance surfaces the inconsistency.

Enabled use cases
01

Evidence-Driven Assessments

due diligencearchitecture reviewproduct strategymaturity assessment

Point Iterance at a codebase and get a full cross-layer assessment. Architecture maturity, risk chains, PMF alignment - traced from evidence, not reconstructed from agent reasoning.

02

Live Context for Agents and People

code contextproduct contextdrift detectiondependency mapping

Always-on awareness of how your system actually works. Drift between product intent, architecture decisions, and code surfaces as it happens - not months later in a postmortem. Queryable by engineers, agents, product, and leadership alike.

03

Self-Healing Knowledge Graph

drift alertschange impactweekly digestthreshold alertsreview triggers

CI/CD, but for your fact base. Changes are detected, inconsistencies are verified, and the graph corrects itself. Drift alerts, impact assessments, and automated experiments - delivered continuously.

Access

See it
in action

We're working with a small group of early partners.

Leave your email and we'll schedule a walkthrough.