Forward deployed AI engineers for companies ready to move past demos.
Levy Street embeds senior product engineers into your business to turn frontier models into production systems that work inside your data, permissions, workflows, and operating reality.
A valuable workflow stuck between model capability and operational complexity.
Embedded discovery, rapid production build, eval-led iteration, and executive-level measurement.
A live AI system your team can operate, trust, and improve.
The bottleneck is no longer model capability. It is deployment inside the business.
Enterprise AI fails when it is treated like a tool purchase. The hard part is the surrounding harness: data access, governance, workflow design, feedback loops, exception handling, and the judgment of the people who know the business.
Our deployment model brings those pieces into one room. We pair Levy Street engineering with your operators and domain experts, then build until the system is creating measurable value in production.
Embedded with the work
We sit with the people closest to the workflow, map the real constraints, and find the narrow places where AI can change speed, margin, or decision quality.
Built around your systems
Models are only useful when connected to permissions, data, tools, approvals, reporting, and the legacy software your team already depends on.
Measured in production
Every deployment is instrumented against an operating metric: cycle time, support volume, conversion, cost-to-serve, throughput, or revenue lift.
A focused path from executive intent to working infrastructure.
Find the valuable workflow
We identify the work where high judgment, repetitive context gathering, or slow handoffs are creating measurable drag.
Ship a working system
We build the first production-grade version with real data, real users, evals, guardrails, and observability from the start.
Turn usage into infrastructure
We harden integrations, document operating ownership, train teams, and generalize the patterns that can become durable company capability.
Product judgment, software depth, and AI systems experience in one deployed team.
Levy Street is deliberately lab agnostic. We choose OpenAI, Anthropic, Google, open models, or traditional software based on what your deployment needs to do reliably.
Bring us in when the opportunity is high-value and too specific for a generic platform.
You have AI pilots, but no deployed operating system.
Your data, permissions, and workflows are too specific for generic SaaS.
The value is obvious, but the integration path is messy.
You need a senior builder who can move between executive intent, domain experts, and production code.