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.
Our systems
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.
The best systems
feel invisible.
Our systems
Production AI measured by operating results.
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.
Discover.
Map the workflow, constraints, handoffs, data, and approvals that determine the real operating problem.
Prove.
Build the narrowest production-grade system that can prove value against an operating metric.
Scale.
Connect monitoring, evaluation, governance, and support so the system can keep improving in use.
Experts In These Systems
Lab agnostic by design. We choose the model, toolchain, and deployment pattern that fits the job.
OpenAI, Anthropic, Google, xAI, Qwen, DeepSeek, and the open model ecosystem all have different strengths. We test them against your workflow, not a vendor preference.
OpenAI
Model labCodexGPT-5Responses API
Anthropic
Model labClaude CodeClaude CoworkMCP
G
GeminiNano BananaVertex AI
xAI
xAI
Model labGrokRealtime reasoningTool use
Qw
Alibaba
Model labQwenQwen CoderOpen weights
DS
DeepSeek
Model labDeepSeekR1-style reasoningEfficient inference
Where it works
Operations, support, reporting, and decisions.
Levy St. systems connect to the tools your team already depends on, then prove value against cycle time, support volume, conversion, cost-to-serve, throughput, or revenue lift.