Ship production AI—engineered end-to-end, owned by you.
From the model layer to the interface, senior AI engineers design, build, and ship the system your idea needs — production-grade software you own outright.
Full-stack AI. Model to interface.
One team. The whole system. Not a slice of it.
Custom AI Products
AI-native apps and SaaS, built around your use case — not a template.
LLM Apps & Agents
RAG, copilots, and multi-agent systems that reason, retrieve, and act on your data.
ML & Custom Models
Training, fine-tuning, and evaluation — benchmarked rigorously, not guessed at.
Computer Vision & NLP
OCR, detection, semantic search, extraction, summarization — production pipelines.
AI Infrastructure & MLOps
Vector DBs, inference, evals, and observability built to scale under real load.
AI Inside Your Stack
Clean APIs and secure pipelines that drop AI into the systems you already run.
Real systems. Real code. In production.
No slideware. Every engagement ships working, documented, owned software — engineered to the standard of the products you admire.
// support-copilot · production agent
import { defineAgent, tool } from "@digitalos/core";
import { vectorStore } from "./retrieval";
export const supportCopilot = defineAgent({
model: "gpt-4o",
system: "Senior support engineer. Cite sources.",
tools: [
tool({
name: "searchKnowledge",
run: async ({ q }) => vectorStore.query(q, { k: 6 }),
}),
tool({ name: "openTicket", run: createTicket }),
],
evals: ["answer.grounded", "tool.accuracy"],
});
// → deployed · monitored · owned by clientOne AI feature, or a whole intelligent platform.
A snapshot of what we build, end-to-end.
If it runs on AI and needs to run in production — we build it.
Built for teams that take AI seriously.
A sample of the industries we've engineered AI systems for.
Healthcare
Clinical AI, document extraction, diagnostic support.
Finance
Risk models, fraud detection, intelligent automation.
Commerce
Personalization, search, recommendation, agents.
Industrial
Computer vision, predictive maintenance, control.
Legal
Document intelligence, drafting, discovery, review.
Education
Tutors, evaluation, adaptive learning systems.
Enterprise
Internal copilots, knowledge agents, workflow AI.
Public Sector
Secure deployments with auditable AI behavior.
Idea to deployed system — a clear path.
Discovery & Architecture
Map the problem, define the system, design the architecture — before a line of production code.
Build & Train
Senior engineers build models, pipelines, app, and infra — with evals baked in from day one.
Deploy & Harden
Ship to production with monitoring, observability, and the guardrails real systems need.
Scale & Own
Receive a documented, owned system. Scale it yourself, or keep us engaged.
The stack we reach for. The standards we hold it to.
Model-agnostic by design. We pick what's right for the system — not what's trending this quarter.
Engineered like a product. Owned like an asset.
Four reasons teams pick us over an agency, a consultancy, or a hire.
Production, not prototypes.
Systems built to run reliably at scale — not demos that fall over on real data.
Full-stack AI.
One team owns model, data, infra, and interface. No handoffs. No gaps.
You own everything.
Code, models, data, infrastructure — yours from day one. No lock-in. No rented access.
Senior, founder-led.
Built by senior engineers, led personally. Never offshored to juniors on your budget.
"Most AI work today is a demo with a deadline. We build the opposite — production systems trusted by real users, owned by real teams, run for real money. If that's what you need, let's talk."
Answers, before you ask.
If your question isn't here, ask it directly — we'll reply within a day.
We're an engineering firm — not a deck shop. Every engagement ships production code, models, and infrastructure your team owns end-to-end.
Most first systems go from kickoff to production in 4–12 weeks. We size each engagement around a real deliverable, not a retainer.
You do. Always. Code, weights, prompts, pipelines, and infrastructure are yours from day one. No lock-in.
Model-agnostic. We pick the right one — OpenAI, Anthropic, Google, open-source, or a custom fine-tune — for quality, latency, and cost.
Yes. We embed AI into existing products as often as we build greenfield. Clean APIs, secure data handling, no rewrites for the sake of it.
Evals, observability, and guardrails ship with the build — not after. Answer quality, tool accuracy, latency, and cost are monitored from day one.
Got something intelligent to build?
Tell us what you're building. We'll reply within one business day with how we'd engineer it — and what it takes to ship.
Tell us about your project.
Every message is read. Replies come from the founder.