Fabric offers a secure, on‑premise AI‑powered IDE that transforms natural language prompts into detailed specifications and parallel coding tasks, using visual architecture and graph‑based context for large codebases. The platform supports multimodal input, model‑agnostic routing for high‑accuracy code generation, and enterprise‑grade security features such as zero data retention, air‑gapped deployment, and role‑based access control.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams struggle to integrate AI assistance while maintaining security, data sovereignty, and control over large, complex codebases. Existing AI copilots often require cloud services, retain data, and lack robust planning or governance, making them unsuitable for regulated or enterprise environments.
Solution
Fabric provides a sovereign, agentic AI IDE that places planning before code generation, enabling spec‑driven development with visual architecture and automated task execution. The platform combines multimodal interaction—text, voice, and images—with autonomous agents that translate natural language prompts into clear requirements, acceptance criteria, and parallel coding tasks. Built for large codebases, Fabric leverages advanced graph context management and model‑agnostic routing to deliver high‑accuracy code while optimizing cost. Enterprise‑grade security features—including zero data retention, air‑gapped deployment, role‑based access control, and end‑to‑end encryption—ensure that code and prompts remain under customer control. Users can customize rules, integrate existing APIs, and monitor AI reasoning through transparent dashboards, maintaining governance and auditability throughout the development lifecycle.
Target Audience
Fabric targets professional software development teams in regulated industries—enterprises, government agencies, and large organizations that require secure, governed AI assistance for complex, high‑scale codebases.
Features
- Multimodal IDE supporting text, voice, and image inputs for natural interaction and reduced token consumption
- Agentic workflow that converts prompts into detailed specifications, acceptance criteria, and executes parallel coding tasks
- Visual Canvas and graph‑based context management for architecture design and navigation of codebases with millions of lines
- Model‑agnostic routing that selects optimal frontier models (e.g., Claude, Gemini, Qwen) to achieve 99% accuracy at up to 70% lower cost
- Enterprise security suite: zero data retention, air‑gapped/on‑premise deployment, SOC 2 Type II compliance, AES‑256 encryption, RBAC, SSO/OIDC
- Customizable rules engine for coding standards, toolchains, and project‑specific policies
- Real‑time credit usage monitoring and per‑prompt cost control
- API and automation support for team billing, usage analytics, and integration with existing development pipelines