Deep expertise where data is the business.
An AI consulting and implementation firm for operationally complex, data-intensive businesses, and the PE firms that own them. We turn fragmented systems into governed data and AI in production, one workflow at a time.
Azure
Six sectors, one way of working.
We start with PE portfolio companies, then the sectors where data is the business: healthtech, fintech and payments, CPG, real estate and financial services.
- PE portfolio companiesPortfolio-wide value creationDiligence support, AI roadmaps and repeatable playbooks deployed across the book on hold-period timelines.
- HealthtechClaims, RCM and clinical dataFragmented health data, unified and governed, with models that clinicians and operators trust and privacy built in.
- Fintech and paymentsProduction AI for money movementFraud, underwriting and intelligent automation deployed into the transaction path with monitoring and guardrails.
- CPGDemand, pricing and supply chainForecasting, pricing intelligence and supply chain optimization built on a single, trusted data foundation.
- Real estateValuation and market intelligenceAutomated valuation, underwriting and market data unified into one decision-ready platform across markets.
- Financial servicesRisk and decisioning at scaleGoverned ML, fraud detection and real-time data for banks and asset managers, with the audit trail regulators expect.
What we figured out, and what we built.
- Real Estate & Construction · Level 24xmore deals screened each weekColliers screens 4x more deals a week with an automated valuation model
- Financial Services85%less time to produce a full risk reportThe Hartford cut risk report production from weeks to 2 days
- Healthtech · Level 385%less manual processing time per patient referralElara Caring cut referral-to-admission time from days to under 24 hours
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.
Which industries does Blue Orange work in?
Six sectors: PE portfolio companies, healthtech, fintech and payments, CPG, real estate and financial services. We start with PE portfolio companies, then the sectors where data is the business. Each sector has its own page with the systems we read from and the workflows we have moved.
What kind of company is a fit for Blue Orange?
Operationally complex, data-intensive businesses, and the PE firms that own them. We turn fragmented systems into governed data and AI in production, and the way of working is the same across all six sectors.
Does Blue Orange work with private equity firms as well as their portfolio companies?
Yes. PE portfolio companies are the first sector we work in: diligence support, AI roadmaps and repeatable playbooks deployed across the book on hold-period timelines. The private equity page covers the fund-level view, and the For PE firms page covers the engagement for the whole book.
What results has Blue Orange delivered in these industries?
Three sit on this page. Colliers screens 4x more deals a week with an automated valuation model on a data lake built beside its legacy systems. The Hartford cut risk report production from weeks to 2 days with Tableau dashboards on its data warehouse. Elara Caring cut referral-to-admission time from days to under 24 hours with an automated intake pipeline on Azure.
Is the approach different for each industry?
No. Six sectors, one way of working: in every sector we turn fragmented systems into governed data and AI in production, and the same three stages (Assess, Build and Scale, with Advisory alongside) apply, with published prices. What changes by sector is the systems we read from and the workflows we move.
How do I start, and what does it cost?
Book a free diagnostic. It is read-only, places the company on Level 1 to Level 5 (L1 to L5), and returns a six-dimension readout and a ranked workflow list; it is complimentary for qualified companies. The full Assess takes 2 to 4 weeks at $25K to $50K fixed and ends in a board readout.