Wisdom AI
Also known as: WisdomAI
WisdomAI is an agentic analytics platform that answers business questions through a governed context layer and runs analytics agents built on a visual canvas on schedules and thresholds, deployable as SaaS, in the customer's cloud or on premises.
WisdomAI sells agentic analytics for enterprises: conversational BI, AI built dashboards and Live Apps, analytics agents and embedded analytics, all running through what it calls an Analytics Harness between users and their data. Answers are grounded in a governed context layer for each domain, holding metrics, business knowledge, synonyms, relationships and reviewed queries, which data teams edit through drafts that are published and reindexed.
Analytics agents are built in a prompt mode or a visual canvas of data, analysis, MCP, branching, artifact and delivery nodes. They start on a schedule or when a metric crosses a threshold, deliver to email and Slack, export files to S3 or Azure Blob Storage, and can call the tools of MCP servers an administrator connects, acting on a user's behalf once that user has authorized the app. Each run keeps its steps, generated SQL and output, and teams test answer accuracy with evaluation sets of prompts and expected SQL.
WisdomAI offers a SOC 2 Type 2 report on request and documents role based access, SSO group mapping and row and column level security at query time. It runs as a hosted SaaS, as a managed Cloud-Prem install in the customer's AWS, GCP or Azure account, or on premises, and the private deployments can bring their own models. Developers reach it through a GraphQL API, a React SDK and an MCP server. Pricing is not published.
Vendor details
Canonical URL
https://www.wisdom.ai
Category
Data analyst agent
Funding status
Independent, founded in 2023 by Rubrik co founder Soham Mazumdar with former Rubrik colleagues. Raised a 50 million dollar Series A led by Kleiner Perkins in November 2025, with NVIDIA's NVentures, Coatue, Madrona, and Menlo Ventures participating, following a 23 million dollar seed led by Coatue in 2025, bringing total funding to about 73 million dollars.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects to enterprise warehouses, applications, and both structured and unstructured data sources, enforcing row and column level security at query time in the data layer. Delivers insights inside Slack, Salesforce, and email, and can be embedded into a customer's own product via a React SDK, iFrame, or GraphQL API, with MCP compatibility for Claude and other agents.
In practice
Executives wait weeks for the data team to turn around a report. WisdomAI lets a business leader ask in plain language and drill into the answer in real time, grounded in the company's own definitions and metrics.
You cannot trust an AI that might fabricate a number. WisdomAI uses generative AI only to write the query, not the answer, so a model slip returns an empty query rather than a false insight.
Nobody notices a metric moving until it is a crisis. WisdomAI's proactive agents watch usage and tickets and alert the right person in Slack or email the moment something notable changes.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
11.5 / 14 capabilities · 82%
| Integrations & Tool Calling | Full |
|---|---|
|
Chat agents call the tools of OAuth secured MCP servers an administrator adds, acting on the signed in user's behalf, agent workflows include an MCP node that performs actions across connected systems and an export node that writes CSV files to S3 or Azure Blob Storage, and results go to Slack and email; the product page names creating tickets and triggering APIs. Sourcedocs.wisdom.ai/settings/connected-apps.mdread 2026-09-28 |
|
| Workflow Orchestration | Full |
|
Agents are built in a Visual Mode canvas of trigger, data, web search, MCP, analysis, summary, artifact, delivery and export nodes, with an If/Else node that routes execution down one of several branches, and move through a draft, test, publish and activate lifecycle. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
|
| Knowledge Grounding & RAG | Full |
|
Answers are grounded in a governed context layer per domain holding metrics, business knowledge, synonyms, relationships, derived columns, parameterized tables and reviewed queries, edited through drafts that are published and reindexed, with context libraries and file uploads adding domain knowledge. Sourcedocs.wisdom.ai/integrations/mcp-server/manage-context.mdread 2026-09-28 |
|
| Human Oversight & Guardrails | Partial |
|
Row and column level security and roles limit what agents can read, users authorize each connected app before agents use its tools, context changes go through drafts that are published, and owners mark completed agent runs as reviewed; the Analytics Agents page says Human-in-the-Loop nodes gate critical actions behind approvals, but the docs node reference lists no approval node. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
|
| Security, Identity & Governance | Full |
|
The trust center offers a SOC 2 Type 2 report on request and the site states HIPAA and GDPR compliance, and the docs cover RBAC for users, role mapping from SSO groups, email access control and row and column level security enforced at query time. Sourcetrust.wisdom.airead 2026-09-28 |
|
| Observability & Auditability | Full |
|
Each agent run in Previous Runs keeps the steps taken, the generated SQL and the output, and the Auditing view shows every chat's full transcript, user and domain with links to the underlying data. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/reviewed-runs-in-agents.mdread 2026-09-28 |
|
| Memory & State Persistence | Partial |
|
Agents keep context between steps within a workflow, and runs that owners mark as reviewed are kept as examples that guide later runs, a store people curate; no memory the agent writes and reads across sessions with a stated scope and lifetime is documented, and the July user preference memory is not on the pages read. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/reviewed-runs-in-agents.mdread 2026-09-28 |
|
| Deployment & Data Residency | Full |
|
Three deployment models are documented: SaaS hosted by WisdomAI, Cloud-Prem as a managed service inside the customer's own AWS, GCP or Azure account, and Customer On-Prem on infrastructure the customer owns; specific SaaS regions are not listed. Sourcedocs.wisdom.ai/deployment/deployment-models.mdread 2026-09-28 |
|
| Prebuilt Agents, Templates & Packs | Partial |
|
Customers build their own agents in Prompt or Visual Mode, parameterize and reuse them, and the docs give best practices and example workflows, but no catalog of packaged agents or templates is offered; Conversational BI, dashboards, Live Apps and agents are the product's own modules, not adoptable assets. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/agents.mdread 2026-09-28 |
|
| Triggers & Channel Coverage | Full |
|
Agents start on a recurring schedule with optional trigger criteria or when a monitored metric crosses a threshold, and deliver to email and Slack; people also ask questions in chat, in embedded analytics and through MCP clients such as Claude and ChatGPT. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/agents.mdread 2026-09-28 |
|
| Model Flexibility & Routing | Full |
|
Cloud-Prem and Customer On-Prem deployments support bring your own LLM, meaning on premises or private cloud model endpoints or the customer's own API key, with no hard dependency on one provider, while hosted SaaS runs on OpenAI and Anthropic under zero data retention terms; the choice is gated to the private deployment models. Sourcedocs.wisdom.ai/deployment/deployment-models.mdread 2026-09-28 |
|
| APIs, SDKs & MCP Extensibility | Full |
|
A documented GraphQL API with API keys, a React SDK for embedding, and a WisdomAI MCP server whose tools ask questions, give feedback and list, upsert and delete domain context through drafts that are then published. Sourcedocs.wisdom.ai/integrations/graphql-api/graphql-api.mdread 2026-09-28 |
|
| Testing, Debugging & Optimization | Full |
|
Evaluation Sets hold prompts with expected SQL outputs and Evaluation Runs execute them so a team can compare the AI's answers against the expected ones and find where to improve, alongside answer validation and a negative feedback monitor. Sourcedocs.wisdom.ai/improve-wisdom-ai-responses/use-evaluations-sets-and-runs.mdread 2026-09-28 |
|
| Browser & Computer Use | Not documented |
|
Agents work through data connections, MCP tools and a web search node that brings search results in as context; no browser, desktop or computer control is described. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
WisdomAI can now import semantic model files in the Apache Ossie standard, formerly Open Semantic Interchange, exported from Snowflake Semantic Views, Databricks Metric Views or dbt. Datasets, relationships, metrics and synonyms become tables, joins, governed metrics and natural language context, and WisdomAI tests each join and metric against the warehouse before the import completes.
Bears on: Memory / state
View sourcePricing
Not public; demo request
What is public
No public rate and no pricing page; the site offers a demo request.
Cost watchouts
Cloud-Prem and on premises deployments run in infrastructure the customer pays for; confirm what WisdomAI charges on top.
Variable cost rationale
Enterprise pricing that scales with seats and the volume and variety of data connected; usage tends to expand quickly once adopted, as seen with customers growing from a handful of seats to hundreds.
Additional watchouts
No figures are published; confirm how deployment model (SaaS, Cloud-Prem, on premises), embedded analytics and agents affect the quote.
Sales call required
Yes, required for paid access
Free / trial
No free trial or self serve plan on the site; demo request
Key ambiguities
No entry rate, tiering or trial is published; terms are quoted through sales.
Related vendors
- Actian AI Analyst — Wobby, now sold as Actian AI Analyst, answers plain language…
- AnswerRocket — Enterprise AI agent platform for analytics built around Max, which…
- AskEarth — Geospatial intelligence agent (GIA) that answers plain language…
- AskYourDatabase — AskYourDatabase is a conversational data analyst that turns plain…
- Athenic AI — Athenic AI is a data analyst agent that connects databases,…
- BlazeSQL — BlazeSQL is an AI data analyst that turns plain English into SQL…
Alternatives to Wisdom AI
The closest documented capability profiles to Wisdom AI among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Zenlytic11.0 / 14A lighter documented profile than Wisdom AIWisdom AI vs Zenlytic →
- Datafold11.5 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
- Hex12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Prebuilt Agents, Templates & Packs
- ThoughtSpot12.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Prebuilt Agents, Templates & Packs
- Definite10.5 / 14Fuller documented coverage on Memory & State Persistence
- Opensee10.0 / 14Fuller documented coverage on Human Oversight & Guardrails
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded