AI that fits your reality.
Every industry has different constraints, compliance requirements, and decision patterns. We design AI systems that respect yours.
Six industries we know inside out.
We've shipped enough systems in these verticals to know where AI actually helps, and where it's just expensive noise.
Healthcare & Life Sciences
Clinical decisions shouldn't wait for paperwork to catch up.
- Diagnosis backlogs from unstructured data
- Manual patient triage eating clinical hours
- Health records scattered across 5 systems
- Clinical decision support systems
- Patient flow & triage automation
- Health data pipelines & integration
Fintech & Banking
Every transaction is a risk decision. Most are still made by rules written ten years ago.
- Credit decisions that take days instead of seconds
- Rule-based fraud catching 60% at best
- Manual KYC/AML draining ops teams
- Real-time risk scoring engines
- ML-powered fraud detection
- Automated compliance workflows
SaaS & Tech Products
Your users expect AI features yesterday. Your engineering team is already behind on the roadmap.
- AI feature requests piling up on the backlog
- Platform scaling hitting infrastructure walls
- Product analytics that don't drive decisions
- AI features embedded in your product
- Platform re-architecture for scale
- Product analytics & recommendation engines
E-commerce & Retail
You're sitting on a goldmine of customer data. Your pricing model is still a spreadsheet.
- Static pricing leaving money on the table
- Generic recommendations nobody clicks
- Demand forecasting based on gut feel
- Dynamic pricing engines
- Personalisation & recommendation systems
- Demand forecasting & inventory AI
Insurance
Claims processing is where money goes to die slowly. Underwriting doesn't have to take a week.
- Claims processing measured in weeks
- Manual underwriting for every policy
- Fraud detection after the damage is done
- Intelligent claims automation
- Underwriting decision engines
- Real-time fraud scoring
Enterprise & Operations
200 people approving things that a system should handle. That's not process. That's waste.
- Approval chains that slow everything down
- Forecasting in spreadsheets, not systems
- Internal tools nobody wants to use
- Workflow automation & smart routing
- Demand & capacity forecasting
- Internal tools that people actually use
We work across every vertical.
The AI problems are the same everywhere: bad data, slow decisions, manual processes. The domain context is what changes.
Education & EdTech
Adaptive learning platforms, student analytics, AI-powered assessment and curriculum tools
→Logistics & Supply Chain
Route optimization, inventory prediction, warehouse automation and fleet intelligence
→Media & Entertainment
Content recommendation engines, audience analytics, ad optimization and creator tools
→Travel & Hospitality
Dynamic pricing systems, booking optimization, guest personalization and revenue management
→Energy & Utilities
Demand forecasting, grid optimization, predictive maintenance and smart metering systems
→Real Estate & PropTech
Property valuation AI, tenant analytics, smart building systems and portfolio optimization
→Manufacturing & Industrial
Quality prediction, equipment monitoring, supply planning and production line optimization
→Government & Public Sector
Document processing automation, citizen services, fraud detection and public data analytics
→Patterns that work everywhere.
The fraud detection model we built for fintech? Same architecture catches claims fraud in insurance. Working across industries isn't a weakness. It's why our systems are better.
Risk Scoring
Real-time risk models built for banking credit decisions adapt to insurance underwriting. Same math, different domain context, equally fast decisions.
Dynamic Pricing
Demand-responsive pricing engines from retail apply directly to hotel rooms and airline seats. The signals change; the optimization framework stays.
Document Intelligence
Clinical data extraction from health records? Same NLP pipeline processes contracts, invoices, and compliance docs in any enterprise workflow.
Your industry.
Our systems.
Tell us what decisions are too slow in your business. We'll tell you which ones AI can actually speed up.