EARLY ACCESS

Product-to-Engineering AI.

Evidence-backed decisions. Verifiable outputs.

Platform Dashboard
Burnish Platform Dashboard

The tradeoff that shouldn't exist.

So far, the choice has been moving fast on vibes or crawling with evidence. Burnish gives you both. 17 specialist AI skills coordinate your entire software lifecycle. Every role consumes context from a shared knowledge base. Every role contributes back.

verified_user

Compound Knowledge

Every sprint produces architecture decisions, module guidance, pitfall warnings, and review findings. Sprint 5's AI knows everything Sprints 1 through 4 learned.

account_tree

Evidence at Every Step

From customer insight to product spec to shipped code, every decision is recorded, every output is traceable. No black boxes.

Burnish Orchestrator Workspace

Two Products. One Principle.

Knowledge compounds. The spec is the boundary between them.

COMING SOON

Burnish PM

From customer insight to validated spec. Every product decision rooted in accumulated research, competitive analysis, and customer evidence.

  • check_circle Evidence-Backed Specs
  • check_circle Decision Traceability
  • check_circle Accumulated Product Intelligence
EARLY ACCESS

Burnish Engineering

From spec to shipped code. AI specialists coordinate your entire development lifecycle. Context accumulates across every sprint.

  • check_circle Configurable SDLC
  • check_circle Compound Knowledge
  • check_circle Verifiable Outputs

Sprint 5 is smarter than Sprint 1.

Every sprint produces knowledge artifacts. They accumulate. Your AI gets better.

architecture

Architecture Decisions

Persistent records of why the system is shaped this way. Why X was chosen over Y, and when to revisit.

extension

Module Guidance

Per-module boundaries, patterns, and public APIs. Grows as your codebase grows.

warning

Known Pitfalls

'Don't call X from Y because Z.' Enriched by the Reviewer after every code review.

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Conventions

Naming, error handling, and testing patterns the AI follows and enforces.

edit_note

Design Notes

Why each feature was built the way it was. Design rationale, not just the final output.

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Review Findings

What passed, what didn't, and why. Historical context from every review cycle.

Tayyab Tariq
THE FOUNDER

Tayyab Tariq

"12 years and 150+ AI deployments across healthcare, insurance, legal, and fintech. Building the system he wished existed."

MS CS/AI Stanford
Fulbright Scholar

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