Work
AI inside real products, under real constraints
Our strongest work starts with software that already has users, workflows, data and integration boundaries. The broader portfolio shows the application, data and AI depth we bring underneath it.
- 32
- Selected case studies
- 17
- Industries represented
- 18
- Featured AI case studies
- 2018
- Datics started in data science & AI
Practice communications platform
AI communication intelligence inside a live practice platform
AI that acts inside a live healthcare workflow
- Appointments recovered
- 311 across six locations in a documented example
- Recovered revenue
- $100K+ associated with previously missed opportunities in the documented example
What this portfolio proves
The hard part is fitting AI into the product that already works
Across these engagements, the recurring challenge was not getting a model to respond. It was making new capability work through the product's existing workflows, data, integrations, permissions and production boundaries.
Existing product, not a blank slate
We start with the workflows, business logic, integrations and customer commitments already inside the product — and change only what the new capability requires.
Action, not another chatbot
The strongest AI capabilities connect to real APIs, tools, business rules and approval paths so they can remove work inside the workflow.
Production, not just a demo
Tenancy, permissions, auditability, deployment and failure handling are part of the capability from the beginning.
Portfolio
Explore the work by the kind of proof you need
Filter by the primary engineering problem each engagement demonstrates. Every case is structured around the product, constraint, capability, deployment boundary and outcome.
3 case studies · Financial Services
Regulated investment platform
Financial Services · Investment Operations Software
Adding production AI around a regulated investment platform without replacing its .NET core
Production AI and automation added around a regulated .NET investment platform instead of rebuilding the core.
Market intelligence platform
Financial Services · Market Intelligence / Decision Support
Turning complex market data into an AI decision-support product
Financial-market data, company intelligence and agentic analysis brought into one decision-support experience.
Prediction-market analytics
Financial Services · Prediction-Market Analytics
Finding prediction-market mispricing with research-grounded AI forecasts
Research-grounded AI probabilities compared directly with live Kalshi and Polymarket pricing.
Your customers already expect AI from your product.
Let us make it real without rebuilding what already works.