Taiga
Taiga provides an AI software factory that builds, releases, and maintains custom software strictly guided by a company's own published policies. The platform translates business intent into formal specifications before code is written, then uses AI agents to plan and implement initiatives through the customer's existing deployment pipeline. It continuously scans repositories against published policies, turning findings into cited backlog items for ongoing compliance.
- Artificial Intelligence
- AI Agents
- Regulatory & Compliance Technology
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Regulated businesses face a persistent conflict between the speed of modern software delivery and the strict governance, auditability, and policy compliance required by their industries. Custom software projects often drift from documented procedures and internal rules during development, creating compliance gaps that are costly and time-consuming to remediate.
Solution
Taiga provides an AI software factory that builds, releases, and maintains custom software strictly guided by a company's own published policies. The platform translates business intent and corporate rules into formal specifications, user flows, and architectural decisions before any code is written, ensuring alignment from the start. Taiga's AI agents then plan and implement each prioritized initiative, with team-reviewed pull requests flowing through the customer's existing deployment pipeline. The platform also continuously scans connected repositories against published policies, turning findings into cited, actionable backlog items for ongoing compliance and maintenance. This workflow binds every build step to the documented governance framework, allowing regulated teams to ship software without bypassing their controls.
Target Audience
Primary customers are regulated businesses in financial services, healthcare, defence, energy, and the public sector that need custom software built and maintained under strict governance and audit requirements.
Features
- Policy-driven specification generation that produces architecture decisions, threat models, DPIA, and risk registers before coding begins.
- Import workflow that analyzes existing codebases to generate versioned reality documents with file citations and policy-gap findings.
- One-queue delivery model where initiatives are planned and built sequentially by AI agents, with merge rules respecting repository checks and required approvals.
- Deployment tracking that mirrors GitHub deployment records and status, with verification steps separating merge success from runtime health.
- Governed Run audit trail that records named competent reviewers before output is promoted to production.
- Integration with GitHub repositories and structured project documents including user flows, UI direction, and service blueprints.