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Native Bridge
Engineering & Implementation

Custom AI Development

Production systems, shipped in 30-day cycles.

We build with Claude Code + Rails + React as the backbone; you get production-ready, not POC-ready.

What this is

In plain English.

We design and build custom AI systems that run in production and tie to revenue, not demos that impress in a meeting and break the moment real users touch them. Every engagement ships working software in 30-day cycles.

Our backbone is Claude Code, Rails, and React, integrated into the stack you already run: Postgres, Vercel, Stripe, and Salesforce. We build with proper error handling, observability, and tests from day one, because a system that can't be monitored isn't really in production.

Whether it's an AI-powered internal tool, a customer-facing feature, or an automation that removes a costly manual process, you get clean, owned, documented code, never a black box you can't maintain.

When you need this

  • You have a validated use case and need it built into production, not prototyped.
  • An internal AI experiment works but can't survive real traffic or scrutiny.
  • You want a customer-facing AI feature shipped in weeks, not quarters.
  • A manual, expensive process is begging to be automated with AI.
What's included

The deliverables, plainly stated.

  • Production AI system built in 30-day delivery cycles
  • Integration into your existing stack: Postgres, Vercel, Stripe, Salesforce
  • Error handling, observability, and automated tests from day one
  • Clean, documented, owned code with no black boxes
  • Deployment, monitoring with Sentry and Datadog, and rollback paths
  • Handover docs and optional ongoing support

Typical duration

30-day cycles (1 to 3 cycles typical)

Investment band

$$$Significant investment

We scope in bands, not fixed numbers. Final pricing follows a quick scoping call.

How we deliver

A process built for this service, not a generic playbook.

  1. 01

    Scope to a shippable slice

    We cut the use case down to a vertical slice that delivers value within the first 30-day cycle.

  2. 02

    Build with the backbone

    We develop on Claude Code, Rails, and React, wiring into Postgres, Vercel, and your CRM with tests and observability included.

  3. 03

    Ship and instrument

    We deploy to production behind monitoring (Sentry, Datadog) with rollback paths, then validate against the use case's KPI.

  4. 04

    Harden and hand over

    We tighten reliability, document the system, and either hand it to your team or continue in subsequent cycles.

Team composition

A lead AI engineer and a full-stack engineer per cycle, with a solutions architect on design and a fractional data engineer where data work is involved.

Tools & frameworks

  • Claude Code, Rails, and React as the build backbone
  • Postgres and Vercel for data and hosting
  • Sentry and Datadog for observability
  • GitHub for version control and CI
Outcomes you can expect

What we tie this engagement to.

Every engagement carries a revenue-tied KPI. These are the outcomes this service typically anchors on.

01

A working AI system in production within 30 days

02

A measurable lift on the use case's revenue-tied KPI

03

Owned, documented, maintainable code with no lock-in

Works with your stack

We deliver Custom AI Development inside the tools you already run.

See all integrations →
FAQ

Custom AI Development: common questions

What does 'production-ready, not POC-ready' mean?

It means the system ships with error handling, automated tests, observability via Sentry and Datadog, and rollback paths, so it survives real users and real traffic, rather than being a demo that breaks under load.

What stack do you build on?

Our backbone is Claude Code, Rails, and React, deployed on Vercel with Postgres, and integrated into your existing tools like Stripe and Salesforce. We build into the stack you already run rather than forcing a migration.

How fast can you ship a custom AI system?

We work in 30-day cycles and aim to ship a working, revenue-tied vertical slice within the first cycle. Most systems reach a solid production state in one to three cycles.

Do we own the code?

Yes. You get clean, documented, fully owned code in your own GitHub repositories, never a black box. We hand over docs and can step away or continue support as you prefer.

What does custom AI development cost?

It sits in our $$$ band and is scoped per 30-day cycle, so cost scales with the number of cycles. We size the first cycle to deliver standalone value before you commit to more.

Ready to put Custom AI Development to work?

Tell us where you are and we'll tell you what's blocking revenue.