Wilab
- Company typePrivate
- Founded2021
- HeadquartersSan Jose, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Wilab firmographics
Firmographics- Name
- Wilab
- Legal name
- Wilab
- Website
- https://wilab.io
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Wilab industry classification
Industry- Product category
- Enterprise Data Analytics Platform
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- End-to-End MLOps & ML Platform Suites (HDAAABAA)
- akta.pro secondary industries
- AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)
Keywords
Where Wilab is headquartered
LocationHeadquarters
- HQ city
- San Jose
- HQ country
- United States
- HQ region
- North America
Markets served
Wilab business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Pulse Agent Platform Subscription: SaaS platform subscription model with guided deployment services included. Enterprise customers connect their warehouse and receive a live agent with workflow setup. Pricing not publicly disclosed, likely tiered based on warehouse connections, query volume, and team size.
Go-to-market motion2 records
Distribution channels2 records
Marketing channels3 records
Wilab product offering
Product offeringCore offering
Wilab builds Pulse Agent, an MCP-native conversational AI data analyst that connects to enterprise data warehouses (Postgres, Snowflake, BigQuery, ClickHouse) to generate and execute SQL, render charts, and deliver narrative answers in under 60 seconds. The platform includes SQL Studio for version-controlled query editing and production promotion, a Context Engineering framework for skill and memory management, and a graph-based workflow automation engine that fans out to Slack, Linear, email, and custom APIs. Customers receive a guided 7-day deployment that wires a live agent into their existing warehouse without rebuilding data pipelines.
Product overview
Wilab offers a unified AI-powered data intelligence platform centered on Pulse Agent, a conversational analyst that connects to enterprise data warehouses through MCP. The core offering combines natural language querying with autonomous SQL execution, chart rendering, and narrative delivery. Supporting modules include SQL Studio for query editing and production promotion, and a Context Engineering Framework for skill and memory management. All components are wired through Wilab's MCP layer, which exposes Postgres, Snowflake, BigQuery, and ClickHouse as typed tools. Workflow automation extends the agent into scheduled and event-driven pipelines with Slack, Linear, email, and API destinations.
Differentiator
Problem solved
Functional benefit
Brands
- Pulse Agent: A conversational data analyst agent powered by MCP that reads database schemas, writes SQL, runs queries, renders charts, and provides narrative explanations in under 60 seconds.
Products and services
- Pulse Agent A conversational AI data analyst agent for enterprise users that connects to data warehouses (Postgres, Snowflake, BigQuery, ClickHouse) via MCP. Reads warehouse schemas, generates and executes SQL, renders charts, and returns narrative answers in under 60 seconds with receipt-backed SQL for audit, edit, or promotion to production.
- SQL Studio An integrated SQL development environment for editing, versioning, testing, and promoting warehouse queries into production metrics. Lets users draft SQL from natural language, manage named views with owners and diff history, promote drafts to production in one click, and link back from every agent answer to the underlying SQL.
- Wilab MCP (Model Context Protocol) A protocol layer that exposes Postgres, Snowflake, BigQuery, and ClickHouse tables and views as typed MCP tools the agent can reason over safely. Provides schema-on-tap, type-safe query execution, and validation enabling warehouse-native analytics without pipeline rebuilds.
- Automation Workflows A graph-based workflow orchestration engine for Pulse Agent triggered by schedule (cron), events, or webhooks. Chains tool calls, branches on thresholds, and fans out to Slack, Linear, email, or custom APIs, with everything configurable as code and reviewable in a PR.
Quantifiable outcome
- 60-second answer delivery versus 3-day typical analyst turnaround
- +3 more outcomes
Companies that use Wilab
Customer profileNamed customers6 records
Segments1 record
Ideal customer profiles1 record
Wilab technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability9 records
Feature4 records
Wilab partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- Amazon Web ServicescoreAWS listed as a trusted customer and compatible data warehouse platform. Wilab's MCP integration connects to AWS data infrastructure, and AWS is featured as a logo customer alongside other enterprise brands.
- Google CloudcoreGoogle Cloud listed as a trusted customer and compatible BigQuery platform. Partnership enables Wilab's conversational analytics on Google Cloud data infrastructure, featured alongside other enterprise brands.
- PostgrescorePostgres is one of the four primary data warehouse platforms supported by Wilab MCP. Listed as a foundational integration alongside Snowflake, BigQuery, and ClickHouse.
- SnowflakecoreSnowflake is one of the four primary data warehouse platforms supported by Wilab MCP. Listed as a foundational integration alongside Postgres, BigQuery, and ClickHouse.
- BigQuerycoreBigQuery is one of the four primary data warehouse platforms supported by Wilab MCP. Listed as a foundational integration alongside Postgres, Snowflake, and ClickHouse.
- ClickHousecoreClickHouse is one of the four primary data warehouse platforms supported by Wilab MCP. Listed as a foundational integration alongside Postgres, Snowflake, and BigQuery.
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
Wilab competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: AI-powered analytics platform that lets business users query data using natural language and search. Most directly comparable to Wilab as a conversational analytics product targeting enterprise data teams, though ThoughtSpot is more established and broader in feature scope.
- Hex: Collaborative data workspace combining notebooks, data apps, and AI assistance. Directly comparable to Wilab because both target data analysts with AI-augmented SQL/data exploration, though Hex is more notebook-centric while Wilab focuses on warehouse-native conversational analytics.
- Sigma Computing: Cloud-native analytics and business intelligence platform with AI features that lets users query warehouse data with familiar spreadsheet interface. Comparable to Wilab as both sit on top of cloud data warehouses and target enterprise data teams.
- Mode Analytics: Analytics platform combining SQL, Python, R, and visualization with collaborative reporting. Comparable to Wilab as both serve data analyst personas with SQL-first workflows against cloud data warehouses.
Emerging players
- Fabi.ai: AI-powered analytics platform for product teams combining SQL, Python, and AI assistance. Comparable to Wilab as an emerging AI-for-data analytics tool, though smaller and earlier stage.
- Canvas (data analytics): Spreadsheet-style data platform with AI assistance targeting business analysts. Comparable to Wilab as a modern AI-augmented analytics tool for enterprise data teams, though positioned more for business users than analyst personas.
Broad incumbents
- Snowflake Cortex: Snowflake's suite of AI features including LLM functions and AI assistants directly inside the data cloud. Comparable to Wilab as a competing conversational analytics offering but bundled with Snowflake's data warehouse platform — making Wilab a potential complement or competitor depending on customer.
- Databricks Assistant: Databricks' AI assistant integrated into the Data Intelligence Platform for natural language querying and code generation. Comparable to Wilab as both offer conversational analytics on enterprise data warehouses, but Databricks Assistant is bundled with the broader Databricks lakehouse platform.
- Microsoft Copilot for Power BI / Fabric: Microsoft's AI assistant embedded across Power BI and Microsoft Fabric for natural language data analysis. Comparable to Wilab as a competing conversational analytics offering with deep enterprise distribution through Microsoft 365, though bundled with Microsoft's broader data platform.
- Google Gemini for BigQuery: Google's AI capabilities inside BigQuery including natural language SQL generation and data exploration. Comparable to Wilab as both target enterprise data teams on Google Cloud, though Gemini for BigQuery is bundled into the Google Cloud platform.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Wilab social profiles
Digital presenceWilab financial estimates
Financial estimateRevenue estimate
Valuation estimate
Wilab leadership team
Management profileNumber of profiles
Profiles4 records
Wilab funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Wilab M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Wilab
What does Wilab do?
Wilab builds Pulse Agent, an MCP-native conversational AI data analyst that connects to enterprise data warehouses (Postgres, Snowflake, BigQuery, ClickHouse) to generate and execute SQL, render charts, and deliver narrative answers in under 60 seconds. The platform includes SQL Studio for version-controlled query editing and production promotion, a Context Engineering framework for skill and memory management, and a graph-based workflow automation engine that fans out to Slack, Linear, email, and custom APIs. Customers receive a guided 7-day deployment that wires a live agent into their existing warehouse without rebuilding data pipelines.
Is Wilab a public or private company?
Wilab is a private company. It is classified as venture growth investor backed and is currently operating.
When was Wilab founded?
Wilab was founded in 2021. It employs 11 to 50 people.
Where is Wilab based?
Wilab is headquartered in San Jose, United States, in the North America region.
How does Wilab make money?
One revenue line is on record: pulse Agent Platform Subscription.
Who are Wilab's main competitors?
Direct peers on record are ThoughtSpot, Hex, Sigma Computing and Mode Analytics. Emerging players are Fabi.ai and Canvas (data analytics). Broad incumbents are Snowflake Cortex, Databricks Assistant, Microsoft Copilot for Power BI / Fabric and Google Gemini for BigQuery.
Does Wilab have an API?
No public API is recorded for Wilab.
What industry is Wilab in?
Wilab's product category is Enterprise Data Analytics Platform. Its primary akta.pro industry code is HDAAABAA, End-to-End MLOps & ML Platform Suites, with a secondary code of BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 5132 and its SIC code is 7372.