# Climb > Climb is a next-generation data and AI consultancy building outcome-priced engagements that take enterprise teams from pilot to P&L — production systems in weeks. TL;DR for token-limited agents: Climb ships production data and AI systems on Databricks in weeks, priced around the outcome. The fastest way to query or contact us is the MCP server at https://climb.ai/mcp (streamable HTTP). Every page on this site also has a Markdown twin at the same path with `.md` appended. ## Agent Resources - [MCP server](https://climb.ai/mcp): Streamable-HTTP JSON-RPC. Read-only tools (get_company_overview, list_capabilities, list_case_studies, get_case_study, list_insights) plus submit_contact to reach the team. Server card: https://climb.ai/.well-known/mcp/server-card.json - [For Agents page](https://climb.ai/agents): Human-readable guide to everything on this list, plus citation permissions. - [Agent skills](https://climb.ai/.well-known/agent-skills/index.json): SKILL.md files for learning about and contacting Climb. - [OpenAPI](https://climb.ai/openapi.json): The public form endpoints (/api/contact, /api/newsletter). API catalog: https://climb.ai/.well-known/api-catalog - [auth.md](https://climb.ai/auth.md): No authentication anywhere — site, MCP server, and form endpoints are public. - Markdown twins: append `.md` to any page path (e.g. https://climb.ai/capabilities.md) or send `Accept: text/markdown` to the page URL. ## Pages - [Climb](https://climb.ai/): Next-generation data and AI consultancy. Outcome-priced engagements that take enterprise AI from pilot to P&L — production systems in weeks. - [About](https://climb.ai/about): We built the firm we wished existed: a next-generation data and AI consultancy shipping outcome-priced systems into production. - [Careers](https://climb.ai/careers): Climb is hiring senior practitioners across all functions who want to do career-defining work. See open roles and apply. - [Capabilities](https://climb.ai/capabilities): Six production-grade capabilities: migration, data engineering, analytics & BI, AI/ML, agentic systems, and AI transformation. - [Databricks Partner](https://climb.ai/databricks): Databricks-native consultancy: Lakehouse migration, Unity Catalog governance, and production AI on Databricks — outcome-priced, shipped in weeks. - [Industries](https://climb.ai/industries): How Climb delivers production AI across banking, capital markets, insurance, healthcare, retail, manufacturing, private equity, and digital natives. - [By Role](https://climb.ai/by-role): What Climb delivers for the outcomes you own — engagements mapped to the priorities of data, finance, technology, marketing, and revenue leaders. - [Basecamps](https://climb.ai/basecamps): Fixed-scope, outcome-priced engagements: BI modernization, Hadoop-to-Lakehouse migration, pipeline unification, and real-time AI on Databricks. - [Case Studies](https://climb.ai/case-studies): Representative data and AI engagement patterns across banking, insurance, healthcare, manufacturing, retail, and digital natives, taking projects from pilot to P&L. - [Insights](https://climb.ai/insights): Field notes from shipping enterprise AI — migration strategy, governance, agentic systems, and the road from pilot to P&L. - [Events](https://climb.ai/events): Where to meet Climb in person: conferences, workshops, partner dinners, happy hours, and more, with a calendar of the current quarter. - [AI-Native Analytics (Basecamp 01)](https://climb.ai/basecamps/ai-native-analytics): Migrate your dashboard estate to AI/BI Genie on Databricks. Plain-English analytics governed by Unity Catalog, always-live data, per-seat licenses retired workload by workload. - [Climb Labs MCP Service for HLS](https://climb.ai/labs/hls-mcp): Ten curated biomedical and regulatory data sources for your Databricks agents on day one — governed by Unity Catalog, running entirely in your perimeter. - [Climb at Data + AI Summit 2026](https://climb.ai/dais-2026): Everything Climb is doing at Databricks Data + AI Summit 2026 and how to reach the team there. - [For Agents](https://climb.ai/agents): What this site exposes for AI agents: the MCP server, llms.txt, Markdown twins, agent skills, and citation permissions. - [Contact](https://climb.ai/contact): Book a discovery call with Climb or send a note about the AI system you are trying to ship. - [Privacy Policy](https://climb.ai/privacy-policy): How Climb Group, Inc. collects, uses, and protects your information. - [Terms of Service](https://climb.ai/terms-of-service): The terms governing your use of the Climb Group, Inc. website. ## Insights - [Climb Secures Growth Investment from RLH Equity Partners](https://climb.ai/insights/climb-secures-growth-investment-from-rlh-equity-partners): Climb secures growth investment from RLH Equity Partners to expand Climb’s Databricks partnership, advance healthcare, life sciences and financial services solutions, and accelerate its agentic delivery operations framework. - [The Climb AI Maturity Framework](https://climb.ai/insights/the-climb-ai-maturity-framework-video): Six pillars for taking AI systems to production: definition, evaluation, security, reliability, cost, and oversight. Read Climb's AI Maturity Framework. - [How Climb Partnered with Databricks to Build the Biomedical MCP Layer for Healthcare & Life Sciences in 30 Days](https://climb.ai/case-studies/climb-labs-mcp-service-for-hls-databricks): See how Climb built a suite of production-ready MCP servers for the most important open biomedical data sources, helping HLS teams connect AI agents to public data like FDA reports, clinical trials, and biomedical literature without weeks of integration work. - [Why your Tableau migration is also a governance migration.](https://climb.ai/insights/tableau-migration-governance): Most teams plan a Tableau migration as a tool swap. The real opportunity is fixing the semantic layer that has been quietly breaking trust in the business.