Synopsis Semantic Layer
Synopsis Semantic Layer: A document-driven semantic layer for governed, traceable warehouse metrics. Ranked #26 of 28 in Semantic Layer Software by our editors (6.8/10); pricing: Pricing on request; best for teams turning business documents into metrics.
At a glance
- Editor score6.8 / 10
- PricingPricing on request
- Best forTeams turning business documents into metrics
- Free planNo
- Governed metricsYes
- Founded2024 · Chicago, Illinois
- Facts checked20 Sep 2026
Where it wins
- Learns metric definitions from budgets, reports, and board decks
- Tests definitions and surfaces ambiguity with clarifying questions
- Returns traceable answers with generated SQL and source tables
Where it doesn't
- Web-only access limits platform flexibility
- No verified query API is listed
- Row-level security is not part of the stated capabilities
Our verdict on Synopsis Semantic Layer
Synopsis Semantic Layer is a cloud semantic layer for teams that need shared, governed business metrics across chat, dashboards, and workflows. It learns definitions from company documents such as budgets, board decks, and reports, then maps business vocabulary covering products, regions, segments, and fiscal calendars. The product is aimed at mid-market and enterprise organizations that want queryable warehouse data without building a traditional data stack, particularly teams turning existing business documentation into operational metrics.
Its strongest distinction is the depth of its definition workflow. Synopsis validates metric definitions against authoritative business figures, builds test cases, and asks clarifying questions when a term is ambiguous instead of silently selecting an interpretation. It then computes metrics over a connected warehouse and provides generated SQL and source tables with answers. Integrations include Excel, Google Sheets, Slack, and AI tools over MCP, giving teams several routes into the governed layer. Organizations that need consistent terminology across data surfaces should find this focus more relevant than a tool centered only on dashboard modeling.
Pricing is contact sales, with scope based on connected systems, modeling complexity, and support. Plans are annual by default, while the setup phase is free until the warehouse is live and in use. The platform is web-only, and its 2024 founding points to a newer product with a narrower maturity profile than broader semantic-layer offerings. The stated capabilities do not include a verified query API or row-level security, which may matter for teams requiring programmatic access or granular data controls. Choose Synopsis for document-led metric governance and traceable warehouse answers; consider an alternative when deployment flexibility, API breadth, or row-level security is central.
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Synopsis Semantic Layer pricing
Synopsis Semantic Layer fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Governed metrics | Yes |
| Dimensions and joins | Yes |
| Row-level security | Not verified |
| Certified models | Not verified |
| Query API | Not verified |
| Deployment model | Cloud |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, HIPAA |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 500+ integrations: Excel, Google Sheets, Slack, AI tools over MCP See all → |
| Pricing | Pricing on request (source) |
| Website | getsynopsis.ai |
| Facts checked | 20 Sep 2026 |
Synopsis Semantic Layer integrations
Synopsis Semantic Layer lists 500+ integrations on its own site — the 4 named here are the ones its pages call out.
- Excel
- Google Sheets
- Slack
- AI tools over MCP
See all Synopsis Semantic Layer integrations →
Alternatives to Synopsis Semantic Layer
- CubeA governed semantic layer for teams building internal and embedded analytics.9.4
- AtScaleA strong fit for enterprise teams standardizing governed metrics across BI and AI.9.3
- GoodDataA strong fit for teams building governed, embedded analytics across multiple data sources.9.1
See all Synopsis Semantic Layer alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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