Ship AI that survives contact with real users.

Agents, LLM-powered tools, and AI-native systems — built by engineers who ship.

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BEFORE YOU HIRE ANOTHER TEAM

Sound familiar?

The switch

Ever been sold the A-team, then handed the B-team?

The senior engineers in the pitch vanish once the contract's signed.

The demo

Does your AI dazzle in the demo, then break in production?

Prototypes are easy. Reliable, observable systems are the hard part.

The lock-in

Worried about hiring full-time for a roadmap that keeps shifting?

Salaries outlast the need. Flexibility is the thing you actually want.

The ramp

Tired of new teams burning weeks before they ship anything?

You pay for the onboarding, not the work. Ramp time is real money.

What's in it for you

Everything your roadmap needs.

The team, the talent, and the timelines your roadmap actually requires.

Experienced, vetted talent

Hand-picked engineers for your team, not whoever's on the bench.

Top-rated onboarding

A smooth start from day one. Our team sets the standard.

Accelerated timelines

Senior teams embedded in days. You ship faster, sooner.

Guaranteed delivery

We commit to outcomes, not hours.

Full-stack engineering team

Design, product, and dev under one roof. One team, end to end.

AI-Native engineering experts

Anthropic-certified. We build with AI from the first commit.

US-based, nearshore power

Aligned time zones, real overlap, no handoff lag.

Ship AI that survives contact with real users, not just a demo.

Cut inference costs without cutting capability.

Move faster with engineers who already speak your stack.

The Guide

You've seen the demos. The hard part is everything after.

Getting AI from a slick prototype to something reliable enough to put in front of real users is where most projects stall. We've shipped enough production systems to know exactly where, and how to get yours past it.

Trusted by teams shipping real AI

GoogleSephoraSkullcandyBest BuyRare Beauty
They didn't just build it, they pressure-tested every assumption and stayed in the room until it actually worked in production.
VP Engineering

Anthropic-certified

AI-native engineers, partnered with leading model providers.

Production track record

12 AI systems shipped and running in real environments.

Senior team backgrounds

Engineers from research labs and notable product companies.

From Idea to Production

Our process is the eval.

Most teams treat AI like a feature spec. We treat it like an engineering problem with measurable outputs from the first commit.

01

Pressure-test

Is AI actually the right answer? We answer this first, often saying no.

02

Eval-driven design

Test sets and quality bars before code. The eval is the product spec.

03

Iterate to threshold

Build, measure, tune. The bar is shipped quality, not demo magic.

04

Ship + observe

Production with telemetry, fallbacks, and an honest report card.

What we build

Six capabilities. All in production.

Product Engineering

Embedded engineers who own outcomes, not just tasks.

Experience Design

Research-led design that makes every next step obvious.

Applied AI

Agents and automations that improve real work.

Cloud Infrastructure

Cloud built to scale cleanly and stay reliable.

Commerce & Payments

Stripe-certified payment flows that convert and scale.

Case study · Tier-1 Support Agent

tier-one-agent — claude code
01  ERROR DETECTED  NullPointerException in checkout.service:142>  scanning error logs · 3 occurrences in 2h
02  CLAUDE CODE>  reproducing · reading checkout.service · writing fix>  running tests · 14 passed
03  PULL REQUEST OPENED  PR #1284 — fix: guard null cart in checkout>  linked to incident · awaiting review

Closed 80% of tier-1 tickets — quietly.

A B2B SaaS company was drowning in repetitive support tickets. We built an AI agent grounded in their help docs and ticket history, with strict guardrails on what it could promise. It now handles the bulk of tier-1. The team focuses on the cases that need a human.

80%tier-1 resolution
6 wksto first deploy
3.2xteam capacity
Stack
Anthropic ClaudeLangGraphPineconePostgresModal
Read the full case study

How we're different

The honest comparison.

Generic AI Vendor

Demo-driven. "Look what AI can do."

A wrapper around someone else's model.

Locked in to one provider.

RAVN

Eval-driven. "Here's what it does, measured."

Engineering around the model — fallbacks, observability, version control.

Model-agnostic. Right tool for the job, swappable at any layer.

By the numbers

Production, not theater.

30+AI features shipped
12Agents in prod
<2 wksMedian first deploy
85%Features keep eval
4.9★Client satisfaction
StackStackOpenAIAnthropicVercel AILangChainPineconeModalPostgres

Ready when you are

Your next build starts here

Tell us what you’re working on. We’ll tell you how we’d ship it — usually within a single business day.

Built by people, for people.

Built by people, for people.

The team you’ll actually be working with.

US business hours · Nearshore execution · No overnight handoffs