AI-native teams that ship.

Senior pods embed with your team and put production AI systems into the world. We build the hard stuff and we do it collaboratively, so you're never waiting on a black box.

HOW WE WORK

Built with you, not for you.

Every engagement is collaborative. Your team is in the room through discovery, prototyping, review, and release. You see working software every week, not status decks.

Embedded senior pods
Small teams of senior engineers, product leads, and ML specialists. They embed directly with your team or act as your team when you don't have one yet. Every pod clears your architecture review.

AI-native delivery
AI is embedded in how we build, not just in what we ship. We prototype before we spec. We use AI to compress discovery, testing, and documentation. One AE pod ships what conventional teams ship in a quarter, in a few weeks.

Weekly demos, real software
You see working software every Friday. Not wireframes, not mockups. Working, deployed code you can touch and give feedback on. If it doesn't demo, it didn't ship.

End-result focused
Our teams own the problem, not just the ticket. We orient every week around what shipped and what it did for you. When something isn't working, we say so and adjust course early.

WHAT WE BUILD

Production AI across the full stack.

LLM-powered systems

RAG pipelines, document intelligence, content generation, and natural language interfaces built for production reliability and enterprise-grade security.

Agentic workflows

Multi-step AI agents that handle real business processes end to end: research, analysis, decision support, and execution with human oversight at the right checkpoints.

Computer vision

Image and video understanding for quality inspection, document processing, medical imaging, and visual search. Deployed on-device or in the cloud.

Voice and conversational AI

Real-time speech processing, AI tutors, customer service agents, and voice interfaces. Low-latency, natural conversation at production scale.

ML and optimization

Custom models for pricing, forecasting, recommendation, and decision optimization. The kind of applied ML that moves revenue lines, not just dashboards.

Agent-first software

Your next generation of users includes AI agents. We build APIs, MCP integrations, and machine-readable interfaces that let agents browse, transact, and operate alongside human users.

Internal tooling and infrastructure

MCP servers, internal agents, eval harnesses, and the infrastructure that makes AI work reliably inside your organization day after day.

SHIPPED WORK

Production results, measured.

$6M/week new revenue

Azul Airlines

Orchestrated pricing, network, and marketing AI. 8+ production ML models running daily inside the airline's environment.

Alpha School

AlphaRead, Avatar Tutors, Fluency Coach, Essay Writing, Timeback, and DreamLauncher, among others: an AI-native learning platform shipped into real classrooms.

Global Shop Solutions

AI document ingestion turning messy invoices and vendor quotes into structured ERP data at 95% accuracy. Shipped in ~5 weeks.

Blackrock Neurotech

Production software for a brain-computer interface that helps paralyzed patients regain movement and communication.

ENGAGEMENT

How a build engagement works.

01

Scope and align

We start with the problem, not a requirements doc. A focused scoping conversation to understand what you're building, why it matters, and what good looks like. We agree on the first milestone before anyone writes code.

02

Staff and embed

We assemble a pod matched to the problem: the right mix of engineering, ML, product, and domain expertise. The pod embeds directly with your team, your tools, your codebase.

03

Ship every week

Working software every Friday. Weekly demos with stakeholders. Tight feedback loops so we build the right thing, not just the spec'd thing. Direction changes early are cheap, late are expensive.

04

Stay or hand off clean

Some teams want a clean handoff with documentation, runbooks, and knowledge transfer. Others want us to stick around as a long-term partner. We do both, and many of our best relationships are multi-year.

LET'S TALK

Bring us the hard problem.

We'll bring the team that ships.