Industries · 12 sectors

AI solutions by industry. One engineering rhythm.

Industry AI solutions for regulated, high-growth and consumer markets, plus the platforms they run on. Same discipline in every sector: a measurable goal before code, evals from day one and gradual rollouts.

Industry context, without losing AI depth.

A generalist team can build a demo. Industry-specific AI needs engineers who know your constraints, so the right thing ships on the first try.

Regulated by default

We map SOC 2, HIPAA, GDPR and PCI DSS scope before the first sprint, including which data may ever reach a model.

Domain glossaries

We learn your domain language fast. Our prompts, eval sets, PRs and stand-ups use your team's terms, not ours.

Pattern reuse

We know which AI use cases pay back in your sector and which stall in pilot, so your roadmap starts with the ones that ship.

Risk-aware delivery

Human review, phased rollouts and audit trails on every release. Any change, including a model or prompt version, can be rolled back.

Compliant AI, audit-ready from week one.

Regulated AI builds ship with the controls and evidence your auditors expect, designed in from the start. Every model is tested by our QA and AI evaluation team before release.

SOC 2 Type II

Access control, change management, monitoring and evidence collection wired in from sprint zero. Vanta or Drata, your call.

HIPAA

PHI segmentation, audit logs on every read, encryption in transit and at rest, BAA-ready infrastructure on AWS or GCP.

GDPR

Data residency, right-to-erasure flows, consent receipts, DPIA documentation. Built into the schema, not a banner.

PCI DSS

Tokenization at the edge, segmented cardholder data environment, quarterly ASV scans. We handle the SAQ.

ISO 27001

Risk register, statement of applicability and policy library tailored to your stack. We've taken three clients through certification.

SOX & FFIEC

For our FinTech work: change advisory board cadence, segregation of duties and the audit trail the regulators ask for.

Four weeks to credible velocity.

Most AI implementations start with a four-week immersion: architecture, a roadmap and the first shipped slice. No paid discovery theater. The build itself runs through our AI integration services.

Week 1

Domain shadowing

We sit in on stand-ups, read your tickets and interview three customer-facing teammates. We come back with the glossary you didn't know you needed.

Week 2

Architecture & risk map

Written hypotheses, AI use-case shortlist, threat model, data flow diagrams and compliance gap analysis. The whole picture, on one Notion page.

Week 3

First slice shipped

A real, measurable slice goes live behind a feature flag to 5% of users. Evaluated. Instrumented. Reversible. Yours to keep.

Week 4

Roadmap & team handoff

Quarter-by-quarter plan, named owners and a clear answer to “what would it cost to keep going?” You decide what's next.

Battle-tested, not invented here.

Across 150+ projects, the same AI architecture patterns keep paying off. You get them from the first sprint, on cloud, MLOps and DevOps foundations tuned to your stack.

Append-only audit trail

Every state change writes to an immutable log keyed by actor, timestamp and request ID. When a regulator asks, you have the answer in 10 seconds.

Multi-tenant by default

Row-level security in Postgres, tenant ID on every query, no shared-state surprises six months in. Cheap at small scale, ready for enterprise tenants.

Evals before launch

Every AI feature ships with a versioned eval set and a regression gate in CI. A prompt or model change that drops quality never reaches users.

Accessibility-first markup

WCAG 2.2 AA from the first PR. Keyboard navigation, screen-reader labels and focus management built into the component library, not retrofitted.

Feature flags everywhere

New code paths stay behind a flag for at least one sprint. Ship to 1% of users, watch the metrics, then 10%, then everyone. No 3 AM rollbacks.

Cost guardrails in CI

Infracost runs on every PR and LLM spend is tracked per request. If a change adds more than $200/month, the reviewer sees a number, not a surprise on the next invoice.

In your industry

Don't see your industry?

If your sector isn't one of the 12 above, we still want to hear about it. Send us the AI use case you're weighing and we'll reply within one business day with a straight answer.