# Climb | Databricks-Native AI Consulting — From Pilot to P&L Source: https://climb.ai - Base camp - Diagnostic - Data layer - Pilot to production - Scale - Operate - Summit # Take your AI from pilot to P&L Climb is the Databricks-native Data & AI consultancy that ships enterprise AI to production with senior teams, outcome-aligned pricing, and timelines measured in weeks, not quarters. [Book a Discovery Call](/contact) [Explore Basecamps](#engagements) - Built on the Modern Data & AI Stack Where you probably are ## Three POCs in. Zero in production. Most enterprises are not short on AI ideas. They are short on production systems. After multiple POCs, meaningful spend, and mounting board pressure, the gap between experimentation and business impact has become the most expensive problem in enterprise AI. - ### Pilot purgatory. Multiple AI POCs. Nothing durable in production. Teams are moving, budgets are burning, and the board is asking when AI becomes business impact. - ### Fragmented platforms. Critical data spread across warehouses, lakes, legacy platforms, BI tools, and orchestration layers. Migration is scoped, but the AI roadmap is blocked by complexity. - ### Frontier AI without a foundation. Teams are exploring LLMs and agents, but the data layer is not ready to ground them. Shadow AI is spreading. Governance is behind the pace of experimentation. Where we can take you ## Get the data foundation right. Then AI becomes a competitive advantage. Climb is built around Databricks because enterprise AI starts with enterprise data. Without governed, connected, high-quality data, AI becomes a collection of disconnected experiments. On the right foundation, use cases move from pilots to production faster, teams build on trusted context, and every workflow, model, and agent compounds into durable business advantage. - ### Outcome-aligned, not open-ended. Every engagement starts with a fixed scope, a defined KPI, and a clear business case. No open meter. No discovery theater. The work is designed to ship. - ### Senior teams, not pyramid staffing. Each Basecamp is delivered by a focused team of senior specialists across architecture, engineering, AI, governance, product, and delivery. One team owns the outcome from diagnostic to production. - ### Reusable IP that compounds. The Climb AI Runtime packages proven patterns, accelerators, evaluation frameworks, and implementation playbooks so every engagement starts ahead and improves the next one. ## Start where the advantage starts: the data layer. [Book a Discovery Call](/contact) Compare us to the alternative ## Built for outcomes, not hours. If you have worked with a traditional firm or global system integrator, you know the pattern: broad teams, long timelines, time-and-materials expansion, and too much value trapped in decks. Climb is different. Senior, forward-deployed Databricks and AI teams Fixed-scope engagements tied to measurable outcomes Reusable accelerators, patterns, and delivery runtime Production systems in weeks, then scale One team owns the outcome end to end Typical Consulting Model Large blended teams with variable seniority Open-ended time and materials billing Rebuilt workstreams and handoffs every engagement Strategy, design, and implementation spread across quarters Client coordinates across practices, vendors, and handoffs ## Operators who have built this before. Now building Databricks-native. Climb is led by operators who built and scaled one of North America's leading pure-play cloud native consultancies. Now that playbook is being rebuilt for the AI era: Databricks-native, senior-led, IP-enabled, and outcome-aligned from day one. - 50+ Databricks certifications across the delivery team - #1 Founded and scaled one of North America's leading pure-play cloud native consultancies - 10+ Years shipping cloud, data, and AI systems at enterprise scale What are Basecamps? ## Guided engagements. Production in weeks. Climb Basecamps are guided Databricks engagements with defined scope, timelines, and measurable outcomes. Each Basecamp is designed to move a specific AI or data modernization priority from diagnostic to production in weeks. Pick the one closest to your situation. [View Basecamp 01](/basecamps#basecamp-01) Basecamp 01 ### Replace per-seat BI with AI-native analytics. Self-service in plain English. Always-live data. Retire Tableau and Power BI workload by workload, not all at once. $0 Per-user licensing 7-15 wk End to end [View Basecamp 02](/basecamps#basecamp-02) Basecamp 02 ### Modernize the platform without the multi-quarter chaos. Domain-by-domain migration with parallel-run validation. AI-ready infrastructure on the other side. No big-bang cutover. 10x Faster pilot to prod 13-27 wk End to end [View Basecamp 03](/basecamps#basecamp-03) Basecamp 03 ### Unify pipelines and cut orchestration costs. One platform for ingestion, transformation, and orchestration. Eliminate dual-platform costs and broken lineage at the Unity Catalog boundary. $0 Orchestration fees 10-22 wk End to end [View Basecamp 04](/basecamps#basecamp-04) Basecamp 04 ### Run AI at sub-second latency on your governed data. Eliminate CDC pipeline sprawl and reverse ETL. Operational and analytical data unified inside Databricks under Unity Catalog. <400ms AI inference 9-18 wk End to end Need a longer engagement? Climb also delivers industry Solutions, fixed-price Projects, and dedicated delivery teams for ongoing execution. [Book a Discovery Call](/contact) ## Practical perspectives on production AI. What our teams are seeing in the field, from where AI programs stall to how Databricks migrations actually succeed and what separates production systems from expensive experiments. [ ### Why your Tableau migration is also a governance migration. Insights 6 min ](/insights/tableau-migration-governance) [ ### Bolt-on governance costs you twice. Why Unity Catalog comes first. Migration 7 min ](/insights)[ ### When to migrate Hadoop to Databricks (and when to wait). Migration 7 min ](/insights) [Read more insights →](/insights) ## Common questions - 001 How does Climb price engagements? We define the scope, timeline, success metric, and commercial model before kickoff. Most Basecamps are fixed-scope and fixed-price, with pricing aligned to the business outcome being delivered. No open-ended time-and-materials sprawl. - 002 How fast can you actually start? Discovery calls can typically happen within 48 hours. From there, we run a focused diagnostic to confirm scope, KPI, data readiness, and delivery path. Most Basecamps can move from discovery to kickoff within a few weeks. - 003 Why Databricks? Because enterprise AI depends on governed, high-quality, accessible data. Databricks brings data engineering, governance, analytics, machine learning, and AI application patterns into one platform. We go deep on Databricks because production AI rewards platform depth over generalist coverage. - 004 Do you work on our existing stack? Yes. We are Databricks-native but pragmatic. We work with the rest of your stack as needed and do not require a green-field rebuild to ship value. - 005 Who owns the IP once we're done? You do. Everything we ship lives in your environment with your team named as owner. Our IP is the delivery runtime and playbook, not your deliverables. - 006 What if our scope changes mid-Basecamp? Scope is fixed before kickoff. Genuine net-new work is handled as a separate Basecamp or a change order tied to a defined KPI delta. Never an open meter. - 007 How do you measure outcomes? Every engagement ships against a measurable KPI defined before code is written. We establish the baseline, deploy the production system, and verify the delta against the agreed outcome. 0 AI ## Done piloting?Let's go to production. Thirty minutes with a senior architect. Bring the use case, migration, or AI initiative that is stuck. Leave with the Basecamp that fits, the likely path to production, and a straight answer on what it will take to ship. [Book a Discovery Call](/contact) [Browse Basecamps](/basecamps)