Kaelio
Kaelio builds ktx, an open-source context layer for AI data agents that auto-builds governed metric definitions from data warehouses, BI tools, and documentation, then serves them via MCP to AI agents. It targets data engineering and analytics teams at scaling technology companies seeking accurate, governed AI-driven analytics.
- Company typePrivate
- Founded2024
- HeadquartersWilmington, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Kaelio does
Kaelio is an early-stage data infrastructure company that builds ktx, an open-source context layer designed to make AI data agents accurate and governable. The platform auto-builds a four-pillar context layer (schema and lineage, semantic models and metrics, dashboard logic, and domain knowledge) by ingesting data from connected warehouses (Snowflake, BigQuery, Databricks, Redshift, Postgres, and others), BI tools (Looker, Tableau, Power BI, Metabase), transformation layers (dbt, LookML, MetricFlow), and documentation platforms (Notion, Confluence). Reconciled context is stored as reviewable YAML and Markdown files version-controlled in git, allowing human teams to approve proposed context updates before they become trusted. At runtime, ktx exposes this context to AI agents via CLI and a Model Context Protocol (MCP) server, with a query engine that resolves grain, plans joins, and compiles read-only governed SQL for warehouse execution. The product targets data engineering teams, AI agent builders, and scaling data-focused companies that need consistent metric definitions and reduced AI hallucination.
Kaelio's commercial offering spans three tiers. The open-source ktx engine is distributed under Apache 2.0 via npm and GitHub with no usage limits, enabling developer self-serve adoption and a product-led growth funnel. ktx Cloud is a managed SaaS layer that adds multi-user workspaces, review and approval workflows, SSO/SCIM, observability, included LLM credits, and SOC 2 Type II and HIPAA compliance for enterprise procurement. Data Agent is a managed conversational analytics product built on top of the context layer for teams wanting an out-of-the-box agent. Pricing is not publicly disclosed; the open-source tier is free and Cloud and Data Agent require a demo booking. Go-to-market combines PLG (npm, GitHub, documentation, blog) with enterprise field sales through the Book a Demo CTA. Distribution channels include npm/GitHub self-serve, direct enterprise sales for ktx Cloud, and an OEM/embedded channel via the MCP agent ecosystem. Founded in 2024, headquartered in Wilmington, Delaware, with 1-10 employees, Kaelio is backed by Y Combinator and Rebel Fund. Named reference customers are all early-stage startups (Mercy, Gladia, Vapi, Handshake, Poppins, BeSimple, Alt, Raft, Junction, Maximus), and revenue is not publicly disclosed.
Kaelio firmographics
Firmographics- Name
- Kaelio
- Legal name
- Kaelio Inc.
- Website
- https://kaelio.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Kaelio builds ktx, an open-source context layer for AI data agents that auto-builds governed metric definitions from data warehouses, BI tools, and documentation, then serves them via MCP to AI agents. It targets data engineering and analytics teams at scaling technology companies seeking accurate, governed AI-driven analytics.
- Ownership category
- akta.pro rank
Kaelio industry classification
Industry- Product category
- AI Data Context Layer
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151), Software Publishers (51321)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Dashboarding & KPI/Performance Management (HDAEAMAF), Batch ETL/ELT Platforms (HDAEACAA), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)
Keywords
Where Kaelio is headquartered
LocationHeadquarters
- HQ city
- Wilmington
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Kaelio business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- ktx Open Source: Open-source engine under Apache 2.0 license; free to use with no usage limits; users run it themselves with their own LLM API keys.
- ktx Cloud: Hosted version with managed runtime, multi-user workspace, review and approval workflows, SSO and SCIM, continuous ingest, observability, and included LLM credits; SOC 2 and HIPAA compliant; targeted at enterprise data teams.
- Professional Services: Services page suggests consulting or implementation services available for teams requiring additional support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Open source tier - free forever |
| Subscription | Monthly | ktx Cloud - hosted enterprise tier |
| Subscription | Monthly | Data Agent - managed agent product |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
Kaelio product offering
Product offeringCore offering
Kaelio builds ktx, an open-source context layer for AI data agents that auto-ingests schemas, semantic models, dashboard logic, and documentation from data warehouses (Snowflake, BigQuery, Postgres), BI tools (Looker, Tableau, Power BI), transformation layers (dbt, LookML), and docs (Notion, Confluence), then compiles governed SQL for AI agents via MCP-compatible workflows. It sells this as ktx (free, Apache 2.0), ktx Cloud (managed SaaS with SSO, SCIM, SOC 2, HIPAA, review workflows), and Data Agent (managed analytics agent built on the context layer).
Product overview
Kaelio's product portfolio centers on ktx, an open-source context layer for data agents, and ktx Cloud, its hosted equivalent. ktx auto-builds a governed context layer from connected data warehouses (Snowflake, BigQuery, PostgreSQL, etc.), BI tools (Looker, Tableau, Power BI, Metabase), transformation layers (dbt, LookML), and documentation platforms (Notion, Confluence). It serves this context to AI agents (Claude Code, Codex, Cursor, custom MCP agents) via CLI and MCP-compatible workflows, enabling agents to compile governed SQL and deliver accurate, sourced answers. ktx Cloud adds managed hosting, multi-user workspaces, review workflows, SSO, and LLM credits on the same engine. The Data Agent is a managed agent product built on the ktx context layer for teams wanting an out-of-the-box conversational analytics experience.
Differentiator
Problem solved
Functional benefit
Brands
- ktx: The open-source context layer for data agents. Auto-builds a context layer from data stack and compiles accurate SQL for AI agents.
- ktx Cloud
- Data Agent
Products and services
- ktx (open source) Open-source context layer for AI data agents written in TypeScript/Node.js. Auto-builds a governed context layer from the user's data stack (warehouses, BI tools, dbt/LookML, documentation) and compiles accurate, governed SQL for AI agents via CLI and MCP. Runs locally under Apache 2.0 with no usage limits; targets data engineers and developers.
- ktx Cloud Hosted managed version of the ktx engine. Provides hosted runtime, multi-user workspace, review and approval workflows, SSO and SCIM, continuous ingest, observability, included LLM credits, and SOC 2 / HIPAA compliance. Sold through demo booking to enterprise data teams.
- Data Agent Managed AI data agent grounded in the ktx context layer. Delivers trusted, sourced answers to business questions by querying governed context through MCP-compatible workflows. Sold to enterprise teams requiring an out-of-the-box conversational analytics agent.
Quantifiable outcome
- Time to initial value: 1-3 days vs. 4-8 months for traditional semantic layer implementations
- +3 more outcomes
Companies that use Kaelio
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles2 records
Kaelio technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration38 records
AI capability7 records
Feature7 records
Kaelio partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- SnowflakecoreSnowflake is a cloud data platform; ktx connects to Snowflake as a primary data warehouse source, reading schema metadata, table relationships, and query history. Integration enables AI agents to query Snowflake data through the governed context layer.
- BigQuerycoreGoogle BigQuery is a serverless data warehouse; ktx connects as a primary data warehouse source, reading schema metadata and enabling governed SQL compilation.
- dbtcoredbt (data build tool) is a transformation layer; ktx ingests dbt models, metric definitions, tests, documentation, and lineage graphs into the context layer. The integration preserves existing dbt investments while extending governance to AI agents.
- LookercoreLooker is a BI and visualization platform with LookML modeling language; ktx reads LookML models, dashboard definitions, filters, and audience-specific views to capture business logic for AI agents.
- AnthropiccoreAnthropic developed the Model Context Protocol (MCP) and Claude AI; ktx exposes context layer through MCP-compatible workflows, enabling Claude and other MCP-compatible agents to access governed context. Anthropic donated MCP to the Linux Foundation.
Scale indicators2 records
Recent moves6 records
Expansion highlights6 records
Kaelio competitors and assessment
Company assessmentBroad incumbents
- Alation: Alation is an enterprise data catalog and metadata platform with strong adoption among large enterprises. It competes for the data governance and context category, particularly for buyers prioritizing catalog-style discovery over ktx's agent-first approach.
- Snowflake (Cortex AI): Snowflake is a dominant cloud data warehouse and has launched Cortex AI for agentic analytics on top of customer data. As a warehouse platform with native context and AI capabilities, it could absorb ktx's value proposition into its own product, eliminating the need for a third-party context layer.
- Databricks (Unity Catalog): Databricks' Unity Catalog provides unified data governance, lineage, and discovery across the lakehouse. With Mosaic AI for agents and Unity Catalog as a context backbone, Databricks is a broad incumbent that could compete with ktx's context-layer functionality at scale.
- Anthropic (Claude + MCP): Anthropic developed the Model Context Protocol (MCP) and Claude, and donated MCP to the Linux Foundation. As both a strategic partner (MCP ecosystem) and potential competitor (Claude could natively incorporate context-layer features), Anthropic is a unique broad-incumbent peer for ktx.
- dbt Labs: dbt Labs is the dominant data transformation platform with its dbt Semantic Layer and MetricFlow, defining how data teams model metrics. It is a broad incumbent that competes with ktx's metric/semantic pillar and could expand into the broader agent-context category with its large installed base and developer brand.
Emerging players
- Monte Carlo: Monte Carlo is a data observability and reliability platform with AI agent features. It is an emerging player expanding from data quality into context and governance, partially overlapping with ktx's value proposition of trusted, sourced answers to data questions.
- Hex: Hex is an AI-powered data workspace that combines notebooks, data apps, and AI agents for analytics. It overlaps with ktx's Data Agent managed agent offering and competes for the same data team buyer seeking AI-native analytics workflows.
- Castor: Castor is a data discovery and catalog platform with a focus on documentation, lineage, and collaboration for data teams. It overlaps with ktx's tribal-knowledge and documentation-capture pillars, serving a similar data team buyer.
Direct peers
- Cube.dev: Cube is a semantic layer platform for AI and BI that lets data teams define metrics and serve them via API to applications and AI agents. It is the closest direct competitor to ktx in the 'semantic/context layer for data agents' category, with similar MCP integration support and AI agent focus.
- Atlan: Atlan is a data context platform (data catalog + lineage + collaboration) used by data teams for governance and discovery. It overlaps with ktx's context-layer ambitions — capturing schema, lineage, and tribal knowledge — and competes for the same data team buyer.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Kaelio social profiles
Digital presenceKaelio compliance and trust
Trust signalCompliance2 records
Kaelio financial estimates
Financial estimateRevenue estimate
Valuation estimate
Kaelio leadership team
Management profileNumber of profiles
Profiles2 records
Kaelio funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Kaelio 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 Kaelio
What does Kaelio do?
Kaelio builds ktx, an open-source context layer for AI data agents that auto-ingests schemas, semantic models, dashboard logic, and documentation from data warehouses (Snowflake, BigQuery, Postgres), BI tools (Looker, Tableau, Power BI), transformation layers (dbt, LookML), and docs (Notion, Confluence), then compiles governed SQL for AI agents via MCP-compatible workflows. It sells this as ktx (free, Apache 2.0), ktx Cloud (managed SaaS with SSO, SCIM, SOC 2, HIPAA, review workflows), and Data Agent (managed analytics agent built on the context layer).
Is Kaelio a public or private company?
Kaelio is a private company. It is classified as venture growth investor backed and is currently operating.
When was Kaelio founded?
Kaelio was founded in 2024. It employs 1 to 10 people.
Where is Kaelio based?
Kaelio is headquartered in Wilmington, United States, in the North America region.
How does Kaelio make money?
Three revenue lines are on record. ktx Open Source is the primary driver. The others are ktx Cloud and professional Services.
Who are Kaelio's main competitors?
Broad incumbents on record are Alation, Snowflake (Cortex AI), Databricks (Unity Catalog), Anthropic (Claude + MCP) and dbt Labs. Emerging players are Monte Carlo, Hex and Castor. Direct peers are Cube.dev and Atlan.
Does Kaelio have an API?
No public API is recorded for Kaelio.
What industry is Kaelio in?
Kaelio's product category is AI Data Context Layer. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAEAMAF, Dashboarding & KPI/Performance Management. Its NAICS code is 5132 and its SIC code is 7370.