We're senior engineers from leading tech companies. We help small and mid-sized businesses ship AI, software, and infrastructure that actually moves the numbers — at rates that make sense for your business.
We've shipped, scaled, and operated the systems your competitors are built on. Now we're building for the businesses competing against them.
Practical AI that pays for itself. Strategy, evaluation, and deployment of custom models, RAG, agents, and automation.
Ship faster and sleep better. Pipelines, infrastructure-as-code, and observability designed for small teams.
Web and mobile apps, from MVP to scale. Native iOS, Android, and modern web stacks built to last.
APIs your partners actually want to use. Design, build, and scale public and internal APIs the right way.
An independent technical assessment of your stack. Find the risks, bottlenecks, and savings before they ship.
Vetted engineering capacity across time zones. Embedded with our senior engineers — never a black box.
We're model-agnostic. We pick the LLM, the framework, and the infrastructure that fits your data, your latency, and your unit economics — whether that means hosted APIs, open-weight models on your own GPUs, or both.
Every engagement is led by engineers who shipped and operated software at the largest tech companies in the world. You work with the people doing the work — not an account manager who tosses things over the wall.
We bill hourly at rates set for a lean senior team — no partner taxes, no associate pyramids, no opaque retainers. Every week you get an itemized breakdown of hours and you can scale us up or down as the project changes.
We architect, build, deploy, and operate alongside your team. You get production code and runbooks — not a 60-page deck with three recommendations and a goodbye dinner.
Our work is measured by whether the thing actually works in production and moves your numbers. Revenue, cost, speed-to-market. If it doesn't, we own it.
A 60-minute call. We learn your business, the constraint you're hitting, and what success looks like — in your terms, not ours.
Inside a week: scope, timeline, deliverables, and a clear hourly estimate with a cap. You see exactly who's doing the work, the rate, and how we'll track hours.
We embed with your team. Weekly demos of working software, daily Slack access, and the same engineers from start to finish.
Production-ready code, documented runbooks, and your team trained to own it. Optional ongoing support — never required.
We're based in Denver, Colorado. Our team works remote-first and serves clients across the United States — startups, SMBs, and mid-market businesses competing against big tech.
OpenAI (ChatGPT, GPT-5.5), Anthropic Claude (Opus 4.7, Sonnet 4.6, Haiku 4.5), Google Gemini (including the new Gemini 3.5 Pro and Flash) and Vertex AI, plus open-weight models including Meta Llama 3, Mistral, Mixtral, Qwen, and DeepSeek. We run them through hosted APIs or self-host with Ollama, vLLM, or llama.cpp depending on your data sensitivity, latency requirements, and unit economics.
MCP is Anthropic's open protocol for safely connecting AI agents (like Claude) to your tools, APIs, and data. Yes — we build custom MCP servers and skills that let AI agents take action inside your business systems with auditability and access control baked in.
It depends on your data sensitivity, latency, and unit economics. Most teams should start with hosted APIs (Claude or OpenAI) to validate value, then evaluate self-hosting Llama or Mistral on Ollama or vLLM if cost or data-residency demands it. We make that decision together during architecture review.
Hourly, with a clear cap inside every proposal and an itemized breakdown of hours every week. No retainers, no partner taxes, no associate pyramids. You can scale us up or down as the project changes.
We're a boutique team of senior engineers — not a pyramid of associates supervised by partners. You work directly with people who shipped production AI and infrastructure at the largest tech companies in the world. The rate is lower and the work is more direct, because there's no agency layer between the client and the builder.
Yes. LLM spend optimization is a regular engagement type: prompt caching, model routing, RAG efficiency, batching, and — when it makes sense — moving high-volume workloads onto self-hosted Llama or Mistral. Most teams see 30–70% reduction in LLM spend in the first month.
Yes. We provide vetted engineering capacity across LATAM (near-shore), Eastern Europe, and South Asia (off-shore). Every team is led by a senior 2D engineer in your timezone — never an agency black box.