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Northpoint Labs
Approach

How we actually work.

Self-sufficient pods. AI-native architecture. Compliance from line one. And the accelerators that compress the first two weeks of every engagement.

The pod model

Teams ship. Individuals need managing.

We don't send you engineers. We send you a team — with a delivery lead, a shared standard, and a single accountable outcome. That's the difference between shipping and coordinating.

  • 01

    Self-sufficient beats swarm

    A pod with a delivery lead makes decisions. A swarm of individual contractors needs them made for it. We optimize for the first.

  • 02

    One lead, one outcome

    Your PMs aren't coordinating five vendors with five onboarding docs. The delivery lead owns the outcome — and the Slack channel, and the demos, and the ship.

  • 03

    Plugs into your rituals

    Your sprint cadence, your tooling, your standups. We don't ask you to learn our process; we join yours.

AI-native architecture

AI in the foundation, not bolted on.

We build with AI from day one — architecture, tooling, evals — because retrofitting it later is how you ship a demo and lose a customer.

  • 01

    Evals before features

    AI behavior without evals is a coin flip. We build the harness first — in CI — and anything that regresses it doesn't ship.

  • 02

    Retrieval over novelty

    When your data exists, grounded retrieval beats bare LLM calls. We design for accuracy at production scale, not demo-day magic.

  • 03

    Observable by default

    Every model call traced. Cost curves and latency tracked from day one. Model swaps don't require rewrites — they require flipping a flag.

Compliance from line one

Build like regulators are watching. Because they are.

HIPAA, SOC2, audit trails, PHI handling, EHR integrations. In regulated industries, compliance is the architecture, not a checklist taped on before the audit.

  • 01

    Architecture, not audit-prep

    HIPAA and SOC2 shape the data model and deploy topology. Retrofitting them for an audit is expensive; building with them is free.

  • 02

    PHI-aware from line one

    Encryption in transit and at rest, role-based access, structured audit logs, data retention policies — on the foundation, not as stickers on top.

  • 03

    EHR integrations when they matter

    Epic, Cerner, and healthcare interoperability patterns (FHIR, HL7) — we've shipped against them before, which is why we know where the failure modes hide.

The stack

What we build with.

Platform-certified on AWS, Azure, GCP, Databricks, and OpenAI. We match the stack to the problem — not the other way around.

Languages
  • TypeScript
  • Python
  • Go (when warranted)
Web & App
  • Next.js
  • React
  • React Native
Data
  • Postgres
  • Databricks
  • Redshift
  • Snowflake
AI
  • OpenAI
  • Anthropic
  • open-source models
Cloud
  • AWS
  • Azure
  • GCP
  • Terraform
Ops
  • GitHub Actions
  • observability
  • feature flags
  • incident response
Accelerators

The scaffolding we don’t rebuild every time.

Pre-built modules that compress the first two weeks of every engagement from “bootstrapping” to “shipping features.”

  • 01Auth + RBAC scaffolding
  • 02Structured audit logging
  • 03LLM evaluation harness
  • 04CI/CD + observability bootstrap
  • 05HIPAA-grade PHI handling
  • 06Frontend design system

See how we’d approach your problem.

30-minute intro. Straight talk. We’ll tell you if we’re the right team — or we won’t.