Rollback mistakes.
Test before deployment.
Control what AI can change.
Production controls for AI-driven Power BI development.
Choose your problem
What are you trying to solve?
WHY PRO?
When AI edits your model,
six things can go wrong.
SemanticOps catches all of them.
SemanticOps Pro adds the controls Power BI teams need before AI-driven changes reach production: rollback, testing, policies, impact analysis, security validation, and data masking.
When AI deletes the wrong measure
Every change is recorded. Preview diffs before applying. Restore any previous state instantly. Git-like workflow for your semantic models.
When AI changes break downstream reports
Define expected values. Run regression suites against your model. Catch breakage before it ships — through the assistant or the desktop app.
When AI tries to drop a production table
Allow, deny, or require confirmation for any operation. Enforce naming conventions org-wide. Your rules, always applied.
When you don't know what depends on what
"What breaks if I rename this column?" Trace measure dependencies. Visualize cascading impacts before you commit.
Verify RLS still works after a change
Impersonate users and roles. Validate row-level security filters work as intended. Test security logic from your AI assistant or the desktop Test Runner.
When AI sees data it shouldn't
Session-randomized coefficients hide real values while preserving trends, ratios, and distributions. PII redaction included.
When you need to hand off
Export full model docs to PDF or Word. Every table, measure, relationship, and annotation. Works on enterprise-scale models.
Verify OLS still works after a change
Validate object-level security. Confirm columns and tables are visible — or hidden — for the right roles. Full OLS coverage from the same interface.
When admins need org-wide guarantees
Enforce browse-only, read-only, or full-access modes across all users. Prevent writes or data exposure without per-user configuration.
DESKTOP APP
Monitor your models locally.
Build test suites, run regression tests, and track history across sessions.
Included with SemanticOps Pro.
Pricing
Start free. Upgrade when governance matters.
Core semantic model operations stay free. Pro adds the controls teams need before AI-assisted changes reach production.
Free
For trying AI on Power BI
- Core model operations
- DAX queries and validation
- 5 global preferences
- Power BI Desktop & Service
- Windows & Mac support
Pro
For shipping AI changes to production
~$29/month, billed annually
- Required before letting AI touch a model your business depends on.
- Everything in Free
- Rollback & Snapshots
- Test Runner (MCP tools + desktop app, Win & Mac)
- Policy engine
- Impact analysis
- PII & numeric masking
- Model documentation export (PDF/Word)
- RLS & OLS testing
- Unlimited memories
- Priority email support
Teams
For team deployments with central policy
Custom pricing for teams
- Everything in Pro
- Tamper-evident audit logging
- Admin Policy Bundle
- Lockdown modes
CORE CAPABILITIES
Free covers the basics.
Pro covers production.
Included in Free tier. Pro unlocks full profiling.
Natural Language DAX
Create measures with plain English.
Bulk Operations
Rename or delete dozens of objects.
Auto Translation
Translate models to 40+ languages.
Query & Performance
Basic stats included. Pro unlocks full profiling.
Native assistant UI
Built-in UI in Claude Desktop and VS Code. Visual previews, confirmations, and inline tool calls.
Local-First Architecture
SemanticOps MCP runs locally with zero telemetry. Your model stays in your environment, but your AI assistant may send prompts/results to its provider (their privacy terms apply). Optional online DAX/M formatting (if enabled) can send code to an external formatter.
Ready to get started?
Install in seconds. Free to start, no credit card required.