Barkley provides an agentic AI platform that helps organizations enforce their own processes and governance while building production-grade software. The platform combines a specification-driven coding agent, document intelligence tools, and ontology-based knowledge management to reduce token costs and ensure auditable, compliant outputs. It runs on the customer's own hardware, with security audits integrated directly into the development workflow.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Government Technology
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Organizations adopting agentic AI often struggle to align these systems with their established processes, governance requirements, and domain-specific knowledge. Generic AI tools produce outputs that don't follow internal standards, lack auditability, and fail to integrate with existing document repositories, leading to rework, compliance risks, and underutilized AI investments.
Solution
Barkley offers a comprehensive agentic AI platform designed to embed organizational processes and governance directly into AI workflows. The platform's Tapestry Code component writes specifications before code, reducing rework and token consumption, while running on the customer's own hardware for full control. Tapestry CoWorker provides document intelligence capabilities, including legal review, training material generation, and knowledge discovery across an organization's entire information ecosystem. The Tapestry Core unifies all artifacts on a governed ontology, creating a single source of truth that agents use to operate with explicit roles and versioned context. Security audits run concurrently with code generation, ensuring vulnerabilities are identified and fixed within the same development cycle.
Target Audience
Primary customers are enterprise organizations and government agencies that need to deploy AI systems with strict governance, security, and process compliance, particularly those in regulated industries with complex document workflows and software development requirements.
Features
- Specification-first development approach that plans twice before writing code, minimizing rework and reducing token costs by half
- On-premise deployment model that allows the platform to run on customer hardware for extended, unattended operations
- Concurrent security auditing that identifies and fixes vulnerabilities in the same pull request as the code that introduces them
- Document intelligence suite that converts SOPs into interactive courses, policies into podcasts, and compliance docs into flow diagrams
- Ontology-based knowledge management that ingests and maps all document types—from structured databases to handwritten notes—onto a governed, versioned platform-wide schema
- Role-based agent control that enforces explicit permissions and responsibilities across all AI operations