Kiyomi AI
- Company typePrivate
- Founded2025
- Headquarters—
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Kiyomi AI does
Kyomi (operated by Alytic Pty Ltd, incorporated in New South Wales, Australia, and founded by Jason Adams in November 2025) is an AI-powered analytics platform that converts plain-English questions into SQL, visualizations, and shareable dashboards across nine supported data warehouses and databases: BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Amazon Redshift, Databricks, Azure Synapse, and SQL Server. Its core technical stack includes an AI agent that understands warehouse schemas and accumulates business knowledge (metric definitions, table relationships, business rules) across conversations; ChartML, a human-readable YAML specification for dashboard layouts; QuackStats, a DuckDB extension for forecasting with confidence intervals; and three distinct data access modes that control how much data leaves the customer's warehouse. Kyomi Connect, an Apache 2.0 on-prem agent, keeps database credentials inside the customer's network for security-conscious deployments. Additional modules include Kyomi Watch (AI-scheduled monitoring with plain-English alerts), Kyomi Analytics (built-in cookie-free website tracking), and an MCP server that exposes Kyomi's data tools inside Claude Code and Cursor.
The product is distributed under an AGPL-3.0 open-source core with a free self-hosted Docker Compose or Kubernetes deployment that requires only the customer's own LLM API key (Anthropic, OpenAI, or Gemini), and a managed Cloud offering priced at $5 per user per month with a 30-day free trial that requires no credit card. Tiered paid plans (Starter, Pro, Team, Enterprise) add quotas, PDF export, and MCP availability. Distribution is purely product-led and self-serve via the website, with content marketing (blog, docs, Metabase-alternatives page), an X/Twitter presence, and the open-source repositories serving as organic acquisition channels; no channel partner, reseller, or sales-led motion is indicated. The company is privately held and bootstrapped with no disclosed external funding, and only the founder is named in the management team, so commercial scale, headcount, and customer concentration cannot be assessed from the available material.
Kiyomi AI firmographics
Firmographics- Name
- Kiyomi AI
- Legal name
- Alytic Pty Ltd
- Website
- https://kyomi.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Ownership category
- akta.pro rank
Kiyomi AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- Per-User Cloud Subscription: Kyomi Cloud charges $5 per user per month for managed SaaS hosting. Includes AI chat, dashboards, watches, forecasting, MCP, and website analytics. Free tier includes SQL editor and up to 5 dashboards with limited AI features. Self-hosting is free under AGPL-3.0 license.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier — SQL editor and up to 5 dashboards, free forever |
| Subscription | Monthly | Starter tier — full AI features with expanded quotas |
| Subscription | Monthly | Pro tier — advanced analytics with PDF export and full MCP |
| Subscription | Monthly | Team tier — highest quotas for larger organizations |
| Freemium | Annual | Self-hosted — free under AGPL-3.0 |
| Per seat | Monthly | Cloud — $5/user/month |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels6 records
Kiyomi AI product offering
Product offeringCore offering
Kyomi is an AI-powered analytics platform that bridges natural language queries and production dashboards. Users connect a data warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL, Trino, ClickHouse, DuckDB, and more), ask questions in plain English, and the AI agent finds relevant tables, writes optimized SQL, and produces interactive charts and dashboards. The platform is available as a managed cloud service or as free self-hosted open-source software under AGPL-3.0.
Product overview
Kyomi is an AI-powered analytics platform that bridges conversational AI interfaces with production dashboards. The core product (Kyomi Cloud or Self-Hosted) provides natural language querying across 9 data platforms (BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, Azure Synapse). Users interact via plain English questions; the AI agent generates SQL, creates visualizations, and builds shareable dashboards using ChartML. Key add-on modules include: Kyomi Connect (on-premise agent for credential isolation), Kyomi Analytics (built-in website tracking), Kyomi Watch (proactive monitoring alerts), and Kyomi MCP Server (IDE integration for Claude Code and Cursor).
Differentiator
Problem solved
Functional benefit
Brands
- Kyomi Connect: An open-source on-premise agent (Apache 2.0 licensed) that runs inside a user's network to proxy database queries, ensuring database credentials never leave the user's infrastructure.
- ChartML
- QuackStats
Products and services
- Kyomi Cloud Managed SaaS deployment of Kyomi's AI analytics platform with per-seat pricing from $5/user/month, AI queries and dashboards metered per workspace, and managed cloud infrastructure. Targets data teams and organizations that want a hosted option without self-hosting.
- Kyomi Self-Hosted Free, self-hostable, open-source (AGPL-3.0) deployment of the Kyomi platform. Runs on Linux, macOS, and Windows with the same AI querying, dashboards, and visualization features as the cloud version, intended for teams that prefer to operate the software on their own infrastructure.
- Kyomi Connect Open-source (Apache 2.0) on-premise agent that sits inside a customer's network and tunnels database connections out to Kyomi Cloud without exposing warehouse credentials to the cloud service. Enables secure analytics against databases that are not publicly reachable, targeting enterprises with strict data-access and security requirements.
Quantifiable outcome
- Query and dashboard creation in under two minutes from initial data warehouse connection
- +3 more outcomes
Companies that use Kiyomi AI
Customer profileSegments3 records
Ideal customer profiles3 records
Kiyomi AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration17 records
AI capability9 records
Feature9 records
Kiyomi AI partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core.
- Google BigQuerycoreGoogle BigQuery is a primary supported data warehouse. OAuth 2.0 authentication with automatic token refresh. BigQuery is the default data warehouse for many Kyomi users. Arrow Streaming mode (Mode 3) is a BigQuery-specific optimization for 20-100x faster data transfer. BigQuery costs are billed separately by Google.
- SnowflakecoreSnowflake is a supported cloud data warehouse with multiple authentication options: password, OAuth 2.0 for enterprise deployments, and RSA key pair authentication. Snowflake costs are billed separately by Snowflake. OAuth credential tokens are stored encrypted by Kyomi.
- Amazon RedshiftcoreAmazon Redshift is a supported analytics database. Password authentication with SSH tunnel support for on-premise deployments. Redshift costs are billed separately by AWS.
- Azure Synapse AnalyticscoreAzure Synapse is a supported cloud analytics platform. Microsoft OAuth 2.0 authentication with automatic token refresh. Synapse costs are billed separately by Microsoft.
- DatabrickscoreDatabricks Lakehouse platform is supported with OAuth 2.0 for supported deployments and Personal Access Tokens. Databricks costs are billed separately by Databricks.
- PostgreSQLcorePostgreSQL is a supported relational database with password authentication and SSH tunnel support for on-premise and behind-firewall deployments. Supported via direct connection or Kyomi Connect.
- MySQLcoreMySQL is a supported relational database with password authentication and SSH tunnel support. Supported via direct connection or Kyomi Connect for on-premise deployments.
- SQL ServercoreMicrosoft SQL Server is a supported database with SQL authentication and SSH tunnel support for on-premise deployments. Supported via direct connection or Kyomi Connect.
- ClickHousecoreClickHouse is a supported analytics database. Used both as a supported datasource for user data and as the underlying storage engine for Kyomi's own built-in website analytics (Kyomi Analytics). Password authentication with HTTP/HTTPS support.
- StripecoreStripe handles payment processing for Kyomi's subscription billing. Kyomi does not store credit card numbers — Stripe's hosted payment forms are used. Stripe is PCI DSS Level 1 compliant. Stripe's Cookie Policy applies for payment-related cookies.
- SlackcoreSlack integration allows @kyomi mentions in any Slack channel with interactive chart rendering in threads. Users can ask data questions and receive AI-powered answers with live charts directly in Slack conversations. OAuth 2.0 authentication with automatic token refresh. Slack SOC 2 and Enterprise Grid compliant with E2E encryption.
- OpenRoutercoreOpenRouter is used as the LLM routing service for AI-powered data analysis. Kyomi sends 20-row data samples and questions to OpenRouter, which routes to enterprise model provider endpoints (AWS Bedrock, Google Vertex AI, Microsoft Azure). Kyomi configures OpenRouter to reject routing to providers that train on request data. OpenRouter Privacy Policy applies.
- Google OAuthcoreGoogle OAuth 2.0 is used for user authentication (sign-in) and for connecting BigQuery datasources. Kyomi stores encrypted OAuth tokens to maintain connections. Google's OAuth 2.0 and Privacy Policy apply.
- DuckDBcoreDuckDB is used as a WASM middleware running in the browser for client-side data processing. Enables fast data transformations, aggregation, and forecasting entirely in the browser without API calls. Also used as the underlying engine for QuackStats forecasting extension.
Recent moves6 records
Expansion highlights6 records
Kiyomi AI competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: Analytics platform built around natural-language search and AI-driven insights (Spotter, Sage); overlaps directly with Kyomi's plain-English querying and AI-copilot dashboard building.
- Hex: AI-native data workspace combining notebooks, dashboards, and apps with natural-language querying; the closest direct competitor to Kyomi in target audience (data teams) and AI-first BI positioning.
- Metabase: Open-source BI tool explicitly named on Kyomi's alternatives page; competes for SMB and mid-market teams wanting self-service dashboards, with Kyomi positioning against Metabase's limited AI features.
- Sigma Computing: Cloud BI platform with spreadsheet-style exploration of warehouse data, now adding AI features; competes for the same data team / business analyst buyers that Kyomi targets.
- Mode Analytics: Collaborative analytics platform with SQL, Python/R, and dashboards, now adding AI-assisted analysis; targets the same data analyst persona with warehouse-native workflows.
- Tellius: AI-driven analytics platform with natural-language queries, automated insights, and root-cause analysis — directly comparable feature set to Kyomi's AI agent and Kyomi Watch monitoring.
Broad incumbents
- Tableau: Long-standing BI incumbent now embedding generative AI (Tableau GPT / Einstein); broader enterprise footprint but converging on the same AI-augmented analytics workflow as Kyomi.
- Databricks Genie: Natural-language interface inside the Databricks Lakehouse; competes for the same data-warehouse-to-conversation workflow and benefits from deep Databricks integration that Kyomi also supports.
- Domo: Established cloud BI and data app platform with newly integrated AI services; broader portfolio than Kyomi but overlaps in natural-language querying and dashboard automation.
- Snowflake Cortex: Snowflake's native AI/ML features including natural-language querying; broad incumbent that could be deployed alongside or instead of Kyomi for Snowflake customers.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Kiyomi AI social profiles
Digital presenceKiyomi AI compliance and trust
Trust signalCompliance4 records
Kiyomi AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Kiyomi AI leadership team
Management profileNumber of profiles
Profiles1 record
Kiyomi AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Kiyomi AI 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 Kiyomi AI
What does Kiyomi AI do?
Kyomi is an AI-powered analytics platform that bridges natural language queries and production dashboards. Users connect a data warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL, Trino, ClickHouse, DuckDB, and more), ask questions in plain English, and the AI agent finds relevant tables, writes optimized SQL, and produces interactive charts and dashboards. The platform is available as a managed cloud service or as free self-hosted open-source software under AGPL-3.0.
Is Kiyomi AI a public or private company?
Kiyomi AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Kiyomi AI founded?
Kiyomi AI was founded in 2025.
How does Kiyomi AI make money?
One revenue line is on record: per-User Cloud Subscription.
Who are Kiyomi AI's main competitors?
Direct peers on record are ThoughtSpot, Hex, Metabase, Sigma Computing, Mode Analytics and Tellius. Broad incumbents are Tableau, Databricks Genie, Domo and Snowflake Cortex.
Does Kiyomi AI have an API?
Yes. Kyomi provides an MCP (Model Context Protocol) server that exposes data intelligence tools to MCP-compatible AI clients. Available tools include: data catalog search, table info retrieval, datasource listing, query execution, SQL validation, knowledge base search, dashboard management, watch configuration, and website analytics setup. Authentication uses browser-based OAuth with automatic token refresh. MCP integration is available on Pro, Team, and Enterprise plans. Developer documentation is at kyomi.ai/docs/mcp.