Personalized ranking and recommendation systems designed around your catalog, user signals, business rules, and feedback loops.
Clean build · Fast delivery · Scalable foundation · Less burn
Built for
Commerce, content, learning, and marketplace products with enough choice to create discovery friction.
Intended outcome
A recommendation workflow that improves discovery while remaining measurable, explainable, and commercially controllable.
Cold-start strategy
Business-rule controls
Offline and online evaluation
Define valuable recommendation events
Establish a non-AI baseline
Evaluate candidate methods offline
Run controlled product experiments
Most founders bring a monthly budget and hire us to deliver. A few bring a vision strong enough for us to join the bet. Both models stay lean, direct, and accountable.
Build + maintain
You set the cash ceiling. We cut the scope to fit, ship working software every week, launch it, and keep it healthy. No hourly mystery. No hostage code.
Virtual CTO partnership
For a small number of serious, long-horizon products, we join as the technical partner: roadmap, architecture, hiring, delivery, and scale. Lower cash. Real equity. Shared upside.
The answer depends on the use case. Content metadata, rules, and contextual signals can support a useful first system before large volumes of behavioral history exist.
Yes. Inventory, margin, compliance, diversity, freshness, and merchandising rules can be explicit inputs rather than hidden model behavior.
We combine offline relevance measures with product outcomes such as discovery, conversion, completion, repeat use, and user feedback.
Real-time shipment, fleet, and exception workflows that make operational state understandable to teams and customers.
Secure assistants that retrieve trusted internal context, follow business workflows, and involve people at the right decision points.
Role-aware B2B software that turns specialist workflows into understandable, repeatable product experiences.
Bring the workflow, idea, or delivery mess. We’ll cut it to the leanest credible build and tell you which partnership model fits.