Evidence before AI ships
ContextMint is a local-first AI decision-control plane for software teams — so engineers see evidence before inference and approve changes before they apply.
The problem we solve
AI can produce changes faster than organizations can review them with evidence. Knowledge is fragmented across git, CI, docs, and ticketing. Reviewers merge with incomplete context.
ContextMint indexes the workspace, surfaces stored governance findings, and puts human gates in front of inference and repo writes — on your infrastructure by default.
How we are different
- Evidence first — Context Lens and citations before the model answers
- Local-first — code stays on your machine; privacy by architecture
- Human apply gates — patch preview; no silent auto-apply
- Agent-native (roadmap) — planned MCP tools; v1.0 uses IDE Gates 1 & 2
Principles
Human gates before inference and before apply.
Indexed excerpts and stored findings beat ungrounded chat.
Quality map, apply gates, and operator audit trails in v1.0.
Founder
Anis Batliwala — Founder, CEO & CTO, ContextMint
Building local-first, governable AI for software teams.
The ContextMint platform
v1.0 (end of August 2026) delivers ContextMint Engine and the VS Code extension — evidence chat, quality map, Context Lens, and human apply gates. DNA reports, blast-radius SKU, and PR-time Verification Engine checks are roadmap.
Discuss your AI governance challenges
See the local-first decision-control plane — Context Lens, quality map, and human apply gates. v1.0 ships end of August 2026.