AI Consulting & Engineering
Strategy, custom agents, RAG systems, data infrastructure, and the cloud underneath — engineered end-to-end by senior practitioners. Worldwide delivery.
Live demo · powered by Claude
The chat assistant on this page is built on the same foundations we ship to clients. Pick a question — or write your own.
End-to-end capabilities, delivered globally. AI is the lead — but production AI rarely lives alone, so we ship the surrounding data plumbing, infrastructure, and software with it.
From idea to roadmap — without the hype tax.
Executive-level advisory for teams who need to separate AI signal from noise. Roadmaps, ROI modeling, build-vs-buy, vendor selection, and governance frameworks tailored to your business.
Learn moreAutonomous workflows that think, plan, and act.
We design and ship AI agents that take real actions inside your business — sales SDRs, research analysts, ops copilots, and internal tools that close loops humans previously did manually.
Learn moreConversational answers grounded in your data.
Document Q&A, knowledge-base assistants, customer support bots, voice agents, and internal search — built on retrieval-augmented generation so the answers actually cite your source of truth.
Learn moreDrop frontier models into the products you already ship.
We integrate Claude, GPT, Gemini, and open-source models into your existing applications — and fine-tune them on your data when generic prompting isn't enough.
Learn moreThe pipes and platform under every AI system.
AI is only as good as the data flowing into it. We build the data infrastructure, feature stores, eval pipelines, and MLOps platforms that make models reliable in production.
Learn moreProduction-grade infrastructure for AI workloads.
GPU orchestration, autoscaling inference, cost-aware deployments, and the CI/CD muscle to ship AI features safely. AWS, GCP, Azure, and the AI-native platforms (Modal, Replicate, Vercel).
Learn moreWeb, mobile, and SaaS — built AI-native from day one.
Full-stack product engineering for teams who want AI deeply embedded — not bolted on. Web apps, native mobile, internal tools, and customer-facing SaaS, designed and shipped end-to-end.
Learn moreMake AI play nice with the systems that run the business.
We connect AI to the systems of record — SAP, Salesforce, NetSuite, Workday, Dynamics, ServiceNow, custom ERPs. Secure, governed, and respectful of the rules that already exist.
Learn moreThe production architecture under most of our builds — indexing pipeline, hybrid retrieval, an LLM with optional tool-calling, all the way through to a streamed, cited response.
Hover any node to inspect. Tokens flow in real time so you can see where latency lives — and where we engineer it out.
Built once, kept fresh
Sub-second on every request
What an AI engineer sees in their observability dashboard while a user asks a question — every phase, every payload, every token, in real time. RAG, agent tool-calling, and chatbot flows.
◆ Architecture
Knowledge-grounded Q&A
Domain context matters more than ever for AI. We bring it across regulated, data-heavy, and operationally complex sectors.
Field service copilots, anomaly detection on grid telemetry, and operational intelligence for asset-heavy operators.
Support team was drowning in repetitive product questions. The help center had answers, but customers couldn't find them.
SDRs were spending half their day on pre-call research — pulling 10-Ks, news, LinkedIn, and CRM history into briefing docs.
Every department was pitching AI projects. Leadership had no framework to prioritize, no view of dependencies, no ROI model.
Legacy keyword rules for claim routing missed nuance and required constant tuning. New claim types broke the system weekly.
Clinicians wasted minutes per encounter searching the intranet for the right protocol, drug interaction, or formulary policy. Old SharePoint search was unusable.
AML team was buried under low-quality alerts. Each case took 45+ minutes of cross-system data gathering before an analyst could make a judgment.
No long discoveries. No 80-page decks. We start narrow, ship a working slice, and earn the right to expand.
A focused conversation to understand the problem and what success looks like.
Bounded engagement, fixed-price. Concrete plan with clear go/no-go criteria.
Scaled to your scope and complexity. Working software in production with eval gates.
Optional retainer for ongoing improvement, monitoring, and expansion.
We've built and shipped AI products at scale. We know where demos break, where costs spiral, where evals matter, and what it takes to make AI features your users actually trust.
You work directly with the people building. No project managers between you and the engineers.
Every system we ship has measurable quality gates. You'll never wonder if it's getting better.
We optimize aggressively. Smaller models when they fit, prompt caching by default, batching where it counts.
If AI is the wrong tool for a problem, we'll tell you. If a buy beats a build, we'll say that too.
They were the only firm that could explain the trade-offs between Claude, GPT, and our open-source options in language our IC could actually act on. We picked an architecture in two weeks that would have taken our team six months.
I've worked with three AI consultancies. This was the first one that actually shipped to production. Working software, with eval gates, instead of a slide deck.
What I appreciated most was the honesty. They told us where AI wouldn't help and pointed us at a $40/month SaaS for one workflow. That's the kind of advisor you want.
A 2-week strategy sprint or a tightly-scoped 4-week build pilot. Below that, we'll usually point you at a SaaS that solves your problem — and tell you so in the discovery call.
Tell us what you're building or what you're stuck on. We'll come back within 24 hours with a no-fluff plan.
