AI-native software engineering

Enterprise software at a speed you have to experience to believe.

We build production-grade systems and applied AI — with the rigor, traceability, and maintainability that critical software demands. A small senior team, delivering Big-Tech-scale results.

Built by engineers who led at Uber and Amazon

Prior experience — Uber & Amazon

Where our founders built at scale.

0M+
daily transactions operated

Uber Rides Marketplace

0M+
users served

Uber & Amazon

$0B+
processed & decisioned

Uber Marketplace

0
languages in production ML

Amazon Kindle content ML

0+
combined years at scale

Uber, Amazon & beyond

What we do

Two ways we move your roadmap.

Whether we build it or help your team build faster, the bar is the same: production-grade, tested, maintainable.

AI Product Engineering

We take ambiguous requirements to a working, tested, maintainable production system — fast. Not a prototype. A system you can ship and own.

  • A real running system from day one
  • Automated tests tied back to requirements
  • Built to extend, not to throw away
  • Big-Tech-scale architecture
AI Consulting

We help your engineering org adopt AI-native development that actually ships — accelerating delivery without trading away code quality.

  • AI-assisted, spec-driven practices
  • Rollout across large engineering teams
  • Tooling and workflow that stick
  • Measurable velocity with maintained quality

Approach

Requirements in. A working system out.

The differentiator isn't headcount — it's method. We turn ambiguity into a real, running, tested system through rapid iteration with your stakeholders.

  1. 01

    Requirements to a working system

    We iterate on a real, running system with your stakeholders to drive out ambiguity — not slideware, not a throwaway prototype.

  2. 02

    Traceable by construction

    Automated tests tie back to requirements, giving you coverage and a clear line from intent all the way to code.

  3. 03

    Speed with maintainability

    Our AI-native method delivers far faster than conventional teams while producing codebases that stay clean, extensible, and ownable by your team.

  4. 04

    Rigor for high-stakes systems

    Financial, secure, ML-decisioning — the systems we build leave no room for error, so correctness and traceability are designed in, not bolted on.

Range

The systems we build.

High-stakes domains where depth of toolchain beats scale of headcount.

Financial systems
Secure cloud infrastructure
Large-scale data platforms
Business-process automation
Enterprise ML development
Real-time ML serving

Work

Proof, not promises.

Real systems we've built — with the same method we'd bring to yours.

Product

Lendr

A fully functional loan-management platform we've built — deployment-ready and fully customizable to any lender's process, from origination through servicing. One example of the production systems we build fast and tailor to each customer.

Platform

AI engineering platform

Our internal platform for producing production-grade enterprise software for clients — the engine behind our speed.

Team

The people are the proof.

A small team that has personally architected and operated systems at the scale most companies only read about.

Scott Brown

Co-founder

25+ years building large-scale AI/ML, automation, and distributed systems. Previously led the technical vision for Uber's Rides Marketplace (~1,200 engineers), scaled Amazon Go from a single pilot to 100+ stores, and led the ML systems safeguarding Kindle's content business across 47 languages and 100+ countries.

scott.brown@s2labs.xyz

Scott Berman

Co-founder

Builds AI/ML and spec-driven engineering at scale. Former AI technical lead on Uber's Marketplace Model Team, where he drove AI-enabled, spec-driven development across 100+ engineers and built the AI simulations relied on by pricing and incentives teams. Previously owned the real-time ML serving infrastructure behind Amazon Go.

scott.berman@s2labs.xyz

Our engineers bring AI and software-engineering expertise honed at the front lines of Silicon Valley.

Contact

Let's build something that ships.

Tell us what you're trying to build, or where AI could move your roadmap. We read every message.

Opens your mail client, pre-addressed to both founders.