Problem to production, by industry.

The problem

Fraud losses were growing faster than transaction volume. Risk models refreshed quarterly, so new typologies ran unchecked for months; manual review queues stretched to six hours per case while regulators pressed for explainable decisions. Every mitigation traded loss for friction, false positives were quietly taxing good customers.

What shipped

• 01Real-time scoring service, sub-50ms at p99
• 02Graph-based fraud feature store across accounts, devices and merchants
• 03Eval harness with golden fraud sets gating every model release
• 04Analyst case console, the model abstains, humans decide

The problem

A German manufacturer of safety-critical rail systems ran certification the way it had been run for decades. Senior engineers cross-referencing product specifications against regulation and against every previous certification, by hand. Each pass took weeks to months.

What shipped

• 01An agentic pipeline that reads the specification, the applicable regulation and the certification history together
• 02A supervisor and worker architecture that keeps each agent scoped to one job
• 03Every conclusion tied back to its source documents, an answer with its evidence attached
• 04An engineer review and approval step on every output

The problem

Leadership needed a population-health view across twelve sites, but PHI could not leave the compliance boundary. Every analysis waited weeks for de-identified extracts; a previous vendor's proposal died in security review. The network was data-rich and decision-poor, readmissions were being managed on intuition.

What shipped

• 01Governed lakehouse deployed inside the client's own cloud tenancy
• 02De-identification at ingestion; PHI never crosses the boundary
• 03Readmission-risk models with clinician-readable audit trails
• 04Row-level, role-based access mapped to clinical duty

The problem

Routes were planned overnight against demand data that was already stale by dispatch. Trucks left full and returned half-empty; stockouts triggered expedited freight that quietly consumed the quarter's margin. Planners overrode the system so often that nobody trusted its numbers, or knew when it was actually right.

What shipped

• 01Live demand model fed by streaming vehicle and order telemetry
• 02Route re-optimization triggered by disruption events, not the clock
• 03SKU-level demand forecasts wired directly into replenishment
• 04Planner console with auditable overrides, trust, measured

The problem

Sixty thousand documents a month, claims, endorsements, broker correspondence, were keyed by hand into four systems of record. Fourteen-day backlogs were normal; quality audits caught errors weeks after they had propagated downstream. Headcount could not scale with intake, and the best analysts spent their days retyping PDFs.

What shipped

• 01LLM extraction pipeline with confidence-gated outputs
• 02Workflow agents filing into all four systems of record
• 03Exception review console for the cases that need a human
• 04Continuous evaluation against human corrections