Documentation Index
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Welcome to CRAFT
CRAFT is an enterprise intelligence platform. Agents reason across your enterprise data to drive day-to-day operational decisions and long-horizon strategic ones, inside a verified envelope of constraints, policies, and proofs. What that looks like in practice: root-cause analysis that traces problems to their source, anomaly detection that catches what humans miss, scenario modeling that stress-tests decisions before they’re made, and Verified Talk-to-Data that lets anyone in your organization query enterprise data in plain English and trust the answer.CRAFT deploys on your infrastructure, in your cloud, in your data center, or both. Every component runs on any CNCF-conformant Kubernetes cluster without cloud-specific dependencies. You retain full control over your data, policies, and execution.
How CRAFT is composed
CRAFT is one product, composed of three modules that target different stages of the path from raw data to verified action.CRAFT Assess
Evaluates your data and surfaces what is blocking agent-readiness. Identifies gaps in quality, coverage, and policy compliance before autonomous agents are deployed.
CRAFT Enrich
Automatically enriches metadata, generates data quality rules, and classifies data assets so agents can reason on them reliably.
CRAFT Toolkit
Planned. Verification certificates and auto-formalization tools for developers extending the platform. Custom data connectors are not part of Toolkit; they live in CRAFT data connections and are added on-demand.
What is CRAFT (technically)?
Under the modules, CRAFT is a 3-layer architecture:- Solutions are domain-specific applications (Data Insights, Data Governance, Semiconductor Analytics) that solve customer problems using AI agents, LLMs, and workflow orchestration.
- Platform provides shared services for identity, authorization, secrets management, asset management, and a unified UI shell. Every solution inherits these capabilities automatically.
- Infrastructure provides Kubernetes-based provisioning, GitOps delivery, and Helm-based deployment across four environments (dev, staging, demo, prod).
Who is it for?
Business Leaders
Get AI-powered insights from your enterprise data without writing code. Ask questions in natural language, explore dashboards, and make data-driven decisions faster.
Knowledge Workers
Query your organization’s data through conversational AI. Generate reports, discover trends, and share findings without technical skills.
Data Teams
Ask natural-language questions against your databases and get instant SQL-generated answers, visualizations, and insights through multi-agent orchestration.
Data Governance Teams
Profile data assets, enrich metadata with LLMs, generate data quality rules, and produce scorecards through automated workflows.
Platform Engineers
Deploy and operate the platform on any Kubernetes cluster with Helm charts, ArgoCD GitOps, and full observability via OpenTelemetry and the Grafana LGTM stack.
Key Capabilities
- AI Agents
- Data & Analytics
- Security & Governance
- Operations
- Multi-agent orchestration using the A2A protocol (JSON-RPC 2.0 over SSE)
- Asset Management for data connections, artifacts, files, and models
- Pipeline framework for stateful, multi-step agent workflows with cooperative cancellation
- Provider-agnostic LLM integration via LiteLLM (Gemini, GPT, Claude, and more)
Platform at a Glance
| Layer | Components | Key Technologies |
|---|---|---|
| Solutions | Data Insights, Data Governance, Semiconductor | FastAPI, A2A Protocol, LiteLLM, Prefect |
| Platform | Governance, Assets, Utils, Runtime UI | Keycloak, OpenFGA, Secrets API, Module Federation 2.0 |
| Infrastructure | Infrastructure Provisioning, GitOps, Helm | Terraform, ArgoCD, Kubernetes, Helm |
Design Principles
Deploy Anywhere
Deploy Anywhere
Deploy on any infrastructure you choose: your cloud, your data center, or both. The core platform components are open-source and self-hostable, and cloud-managed services are optional rather than required. For example, Redis Streams handles event streaming instead of cloud-specific message brokers, and
obstore provides object storage across GCS, Azure Blob, S3-compatible stores, and local filesystems instead of provider-specific SDKs.Minimize New Dependencies
Minimize New Dependencies
The platform already includes Keycloak, OpenFGA, PostgreSQL, and Redis, plus optional secrets backends. Before adding a new dependency, the team first evaluates whether an existing one can serve the need. Every addition is justified against the cost of operational complexity.
SOLID, DRY, KISS
SOLID, DRY, KISS
All design and implementation decisions follow these principles rigorously. Simple, focused solutions are preferred over over-engineered abstractions.
Next Steps
Architecture
Understand the 3-layer architecture and how solutions depend on the platform.
Key Concepts
Learn about organizations, projects, agents, data connections, and multi-tenancy.
Build a solution
Build, package, and deploy a new solution on CRAFT — start with the 30-minute quickstart.
Platform Overview
Explore the services that power the platform layer.
Deployment
Deploy CRAFT on any Kubernetes cluster, cloud-managed or self-hosted.

