Connect and model
Unify your sources and define consistent metrics for your team.
Connect your data, create dashboards, and work with agents that understand your business. All in one platform.
Import your existing .pbix, .pbip, and .twbx models without starting over. DataVIZ preserves calculated fields, relationships, and security policies in a modern git-versioned semantic layer.
Connect sources, define metrics, and share analyses. People and agents work with the same context.
Metrics · relationships · policies · lineage · decisions
Unify your sources and define consistent metrics for your team.
Create interactive dashboards and explore your data in the browser.
Share with permissions and trace the source of every result.
Every metric keeps its definition, source, and permissions. Dashboards and agents use the same source of truth.
Powered by MCP (Model Context Protocol). Agents query your governed metrics with verified context and strict access control.
Ground answers directly in your canonical metrics.
Deterministic analysis strictly respecting permissions.
Calculations and charts ready for human review.
Traceable execution with audit logs and approval.
DataVIZ is built end-to-end in TypeScript on Effect, a runtime where failures are typed, handled, and tested, never silent.
Strict types across the whole product. Models, queries, and UI share one source of truth.
Typed errors, retries, and timeouts by construction. Nothing fails silently.
Permissions enforced at the data layer, every query respects who is asking.
TLS in transit, encrypted at rest, and a traceable lineage for every answer.
Authorization enforced as compile-time proofs: sensitive operations refuse to run without a verified permission check.
Strict linting tuned against AI slop, the codebase stays clean while agents write code.
Supply-chain firewall: every dependency is screened for malware before it ever reaches the build.
Every change is challenged by models of different families (GPT, Claude, GLM, Gemini) competing to catch what the author missed.
Your data is always safe, permissions, evidence, and human oversight at every layer.