WinDocks
- Company typePrivate
- Founded2014
- HeadquartersBellevue, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
WinDocks firmographics
Firmographics- Name
- WinDocks
- Website
- https://windocks.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
WinDocks industry classification
Industry- Product category
- Database Virtualization and Containerization
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)
- akta.pro secondary industries
- Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Cloud Data Warehouses (HDAEABAA)
Keywords
Where WinDocks is headquartered
LocationHeadquarters
- HQ city
- Bellevue
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
WinDocks business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Subscription: B2B SaaS platform with subscription-based pricing for access to the LangGrant agent plan platform. Usage-based components for LLM API calls with cost savings on repeat questions. Professional services for implementation support.
- Usage-based AI Costs: Charges for LLM API usage with incremental billing - repeat questions and follow-ups are charged only for the incremental change, not the full question
Go-to-market motion1 record
Distribution channels1 record
Marketing channels5 records
WinDocks product offering
Product offeringCore offering
WinDocks provides SQL Server containerization combined with database virtualization and cloning to enable deployment testing of scripts, database migrations, and application updates. The platform supports database CI/CD workflows and powers LangGrant, an LLM-to-database access product that lets enterprise users query live databases in plain English and generates reusable, governed agent plans spanning multiple databases without data movement.
Product overview
WinDocks operates as a platform company with two main products: Windocks (the foundational platform for database CI/CD) and LangGrant (the newer enterprise AI product for LLM-to-database access). LangGrant builds on Windocks' database virtualization technology, enabling natural language queries across multiple enterprise databases while maintaining column-level access control, approved metric definitions, and full audit trails. The product generates reusable 'agent plans' rather than opaque SQL, allowing both human analysts and autonomous agents to query databases governed by business policy.
Differentiator
Problem solved
Functional benefit
Products and services
- WinDocks Database Virtualization Platform Database virtualization and SQL Server containerization platform for deployment testing of scripts, database migrations, and application updates; supports database CI/CD and is positioned as a cost-effective alternative to Delphix-style data virtualization for enterprise data teams.
- LangGrant Enterprise AI platform that enables natural-language questions against live databases (Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, and others), producing structured, human-readable agent plans that span multiple databases without copying or staging data. Includes column-level access control, PII handling, full audit trails, and automatic schema adaptation for finance and operations teams.
Quantifiable outcome
- Time to first business answer reduced from months to days
- +3 more outcomes
Companies that use WinDocks
Customer profileNamed customers6 records
Segments5 records
Ideal customer profiles2 records
WinDocks technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration16 records
AI capability6 records
Feature6 records
WinDocks partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core.
- SnowflakecoreDatabase integration partner. LangGrant agent plans can span Snowflake databases, joining only needed tables live for cross-system analytics.
- OraclecoreDatabase integration partner. Oracle databases including ERP and CRM systems can be queried through LangGrant agent plans with governed access.
- Google BigQuerycoreDatabase integration partner. BigQuery support enables enterprise data warehouse queries through the LangGrant agent plan framework.
- Microsoft SQL ServercoreDatabase integration partner. SQL Server databases including billing systems can be queried through LangGrant agent plans.
- PostgreSQLcoreDatabase integration partner. Open-source database support for inventory and other operational data systems.
- Amazon RedshiftcoreDatabase integration partner. AWS Redshift data warehouse support for enterprise analytics through agent plans.
- Azure SQLcoreDatabase integration partner. Microsoft Azure SQL database support for enterprises with Azure infrastructure.
- Amazon AuroracoreDatabase integration partner. AWS Aurora support for cloud-native database queries through agent plans.
- Amazon RDScoreDatabase integration partner. AWS RDS support for managed database services in enterprise environments.
- Oracle OCIcoreDatabase integration partner. Oracle Cloud Infrastructure database support for cloud-native Oracle deployments.
- DatabrickscoreDatabase integration partner. Databricks Lakehouse platform support for enterprise analytics and ML workloads.
- Apache HivecoreDatabase integration partner. Hive support for big data and data warehouse environments.
- MySQLcoreDatabase integration partner. MySQL support for open-source and hybrid database environments.
- Claude (Anthropic)coreLLM integration. Customers can bring their own Claude models for agent plan generation and database querying.
- OpenAIcoreLLM integration. Customers can use OpenAI models for agent plan generation and natural language database queries.
- Google GeminicoreLLM integration. Customers can integrate Google Gemini models for enterprise AI-powered database access.
Scale indicators3 records
Recent moves6 records
Expansion highlights5 records
WinDocks competitors and assessment
Company assessmentDirect peers
- Tellius: AI-driven decision intelligence platform that combines natural-language querying, automated insights, and governed analytics. Directly comparable to LangGrant's positioning for business analysts and FP&A teams, with similar agent-driven workflows.
- DataGPT: AI analyst that answers natural-language data questions and provides autonomous root-cause analysis. Comparable to LangGrant for FP&A and business user analytics, though DataGPT is more focused on pre-built connectors than federated live database joins.
- ThoughtSpot: AI-driven analytics platform offering natural-language search and AI Analyst over enterprise data. Directly comparable to LangGrant in delivering natural-language-to-database workflows for business users, though ThoughtSpot has its own in-DB engine rather than querying external databases live.
Emerging players
- Akkio: AI analytics platform offering natural-language data exploration and predictive analytics for business users. An emerging player with partial overlap in AI-driven analytics use cases, though focused more on predictions than on multi-database joins.
- Defog.ai: Text-to-SQL agent that lets business users query databases in natural language with schema awareness. An emerging player with overlapping agent-based natural-language-to-database functionality, though typically used as an embedded tool rather than as an enterprise-wide platform.
Broad incumbents
- Palantir Foundry / AIP: Palantir's Foundry and AIP platforms provide governed data integration and AI-driven analytics for enterprises. A broad incumbent with comparable cross-system analytics and governance positioning, particularly in regulated industries, but at much larger scale and price points.
- Databricks Assistant / AI/BI Genie: Databricks offers AI Assistant and Genie for natural-language interaction with lakehouse data. Comparable to LangGrant's agent-plan approach for SQL/analytics users, but tied to the Databricks platform rather than federated across multiple databases.
- Google BigQuery with Gemini: Google's BigQuery integrated with Gemini provides natural-language SQL generation and analytics over Google Cloud data warehouses. Comparable to LangGrant in LLM-to-warehouse capability, but limited to the Google Cloud ecosystem.
- Microsoft Copilot for Fabric / Power BI: Microsoft's Copilot features in Fabric and Power BI enable natural-language queries and AI-driven analytics across Microsoft data estate. A massive incumbent with bundled distribution that competes directly for the same FP&A and analyst use cases LangGrant targets.
- Snowflake Cortex AI: Snowflake's integrated AI/ML layer (Cortex, including Cortex Analyst) enables natural-language querying of Snowflake data. A broad incumbent that overlaps LangGrant's query functionality within the Snowflake ecosystem, but does not natively span multiple non-Snowflake databases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
WinDocks social profiles
Digital presenceWinDocks financial estimates
Financial estimateRevenue estimate
Valuation estimate
WinDocks leadership team
Management profileNumber of profiles
Profiles1 record
WinDocks funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
WinDocks 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 WinDocks
What does WinDocks do?
WinDocks provides SQL Server containerization combined with database virtualization and cloning to enable deployment testing of scripts, database migrations, and application updates. The platform supports database CI/CD workflows and powers LangGrant, an LLM-to-database access product that lets enterprise users query live databases in plain English and generates reusable, governed agent plans spanning multiple databases without data movement.
Is WinDocks a public or private company?
WinDocks is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was WinDocks founded?
WinDocks was founded in 2014. It employs 11 to 50 people.
Where is WinDocks based?
WinDocks is headquartered in Bellevue, United States, in the North America region.
How does WinDocks make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are usage-based AI Costs.
Who are WinDocks's main competitors?
Direct peers on record are Tellius, DataGPT and ThoughtSpot. Emerging players are Akkio and Defog.ai. Broad incumbents are Palantir Foundry / AIP, Databricks Assistant / AI/BI Genie, Google BigQuery with Gemini, Microsoft Copilot for Fabric / Power BI and Snowflake Cortex AI.
Does WinDocks have an API?
No public API is recorded for WinDocks.
What industry is WinDocks in?
WinDocks's product category is Database Virtualization and Containerization. Its primary akta.pro industry code is HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes, with a secondary code of HDAEAAAN, Database-as-a-Service (DBaaS) Platforms. Its NAICS code is 518210 and its SIC code is 7372.