Best-of-breed platforms, in the right combination.
We build on Claude and Databricks, and connect to the data and cloud platforms you already run. We recommend what fits your roadmap, not just what is popular.
Azure
Two foundations, chosen for production.
- Lakehouse and AIDatabricksWe implement a governed lakehouse foundation for data engineering, machine learning and AI on the Databricks Data Intelligence Platform.
- Agentic systemsClaudeWe build reliable AI systems on Claude, with long-context reasoning and the controls an enterprise needs in production.
What we built on them.
- Private Equity · Level 37xmore companies researched each weekBregal Sagemount screens 7x more companies a week with LLM deal sourcing
- Healthtech · Level 385%less manual processing time per patient referralElara Caring cut referral-to-admission time from days to under 24 hours
- Financial Services85%less time to produce a full risk reportThe Hartford cut risk report production from weeks to 2 days
Three stages and an advisory retainer, with published prices.
- Find where AI paysStage 1 of 3
Assess
Know where AI creates value.
- Time
- 2 to 4 weeks
- Price
- $25K to $50K
A free diagnostic first, then the full readout: opportunity map, ROI model, 90-day plan, board-ready.
Explore Assess - Build the first workflowStage 2 of 3
Build
Ship the first workflow.
- Time
- 3 to 6 months
- Price
- $75K to $350K
A senior pod takes one function to Level 3 (software runs the workflow, people review the exceptions) in production. First workflow live by day 100.
Explore Build - Repeat it across the portfolioStage 3 of 3
Scale
Repeat it across the book.
- Time
- Per year, annual agreement
- Price
- $250K to $1.5M+
What ships at company one is the starting point at company two. 3 to 15 companies.
Explore Scale - A senior AI lead on retainerAlongside every stage
Advisory
Fractional AI leadership.
- Time
- Monthly, 3-month minimum
- Price
- $15K to $30K / mo
A Portfolio Success Partner for board reporting, governance, and vendor management.
Explore Advisory
Common questions.
Does Blue Orange work with Databricks and Claude?
Yes. We build on Claude and Databricks, and connect to the data and cloud platforms you already run. On Databricks we implement a governed lakehouse foundation for data engineering, machine learning and AI; on Claude we build reliable AI systems with long-context reasoning and the controls an enterprise needs in production.
Which clouds and data tools does Blue Orange connect to?
We connect to the data and cloud platforms you already run: AWS, Azure, Snowflake, Microsoft Fabric, dbt, Fivetran and Cube. We build on Claude and Databricks, and we recommend what fits your roadmap, not just what is popular.
Do we have to move our data to a new platform to work with Blue Orange?
No. We connect to the data and cloud platforms you already run, including AWS, Azure, Snowflake and Microsoft Fabric, and the work runs in your cloud. We recommend what fits your roadmap, not just what is popular.
What has Blue Orange built on Databricks and Claude?
On Databricks: Bregal Sagemount's LLM deal sourcing system, 7x more companies researched a week; Elara Caring's intake pipeline, referral-to-admission in under 24 hours; and TechSmith's data layer, 30 analyst hours saved a week. Our case studies do not name the model behind each LLM workflow. On Claude we build workflows such as writing a client proposal and reviewing a confidential information memorandum.
How does Blue Orange decide which platforms to recommend?
We recommend what fits your roadmap, not just what is popular. We work with you to select, implement and optimize the platforms that best support your analytics, governance and AI roadmap, building on Claude and Databricks and connecting to the stack you already run.
How do we start working with Blue Orange on our data and AI stack?
Start with the diagnostic: read-only access, and you leave with your place on the five AI maturity levels we defined (L1 to L5), a six-dimension readout and a ranked workflow list. It is complimentary for qualified companies. Or talk to an engineer about the stack you already run.
Build a stronger data and AI stack on the right platforms.
Work with Blue Orange to select, implement and optimize the platforms that best support your analytics, governance and AI roadmap.