Atwood is a research-and-development company. We design, build, govern, and run complete intelligent systems — AI, big data, and IoT at scale — for regulated organizations that don't have an AI team. From non-profits to civil infrastructure to the enterprise. Human-centered by design, intelligent by default.
Selected clients & projects
The big platforms hand you primitives and expect an AI team to assemble them. We deliver the entire stack — designed, compliant, and operated — so organizations without engineers can put AI to work safely. You bring the mission; we bring the whole stack.
We design, build, integrate, and operate the whole system — nothing for you to assemble or maintain. The big platforms sell the engine and the manual; we hand you the running system.
Compliance, audit, and human oversight built in — ISO 42001-aligned and provable end to end. Not a feature you configure; the way it's built.
You bring the mission and the domain knowledge. We bring the engineers, the data scientists, and the infrastructure — and we keep running it.
Who we serve · regulated organizations
An R&D company turning emerging technology into systems that work in the real world — six disciplines, end to end.
We investigate what's next — AI, data, and connected systems — and turn open questions into working prototypes.
We turn complex, large-scale systems and channels into simple mobile and desktop interfaces — human-centered, and obvious to use.
Built for regulated, audit-heavy environments — governance, traceability, and controls baked in from the start.
From prototype to production. We engineer, integrate, and deploy the systems we design.
Pipelines, analytics, and ML on large, messy, real-world data — at production scale.
Connected devices and sensor networks — instrumented, governed, and operated across thousands of endpoints.
Big data, IoT, and geospatial — from sensor networks to transport models. See the civil & geospatial ideas →
Rooted in IBM Enterprise Design Thinking and mapped to ISO 42001 — the AI management system standard. We lead with human-centered design, then move through a Plan-Do-Check-Act lifecycle, so what we build is accountable and auditable by design.
↻ The Loop — Observe → Reflect → Make — runs continuously; phases revisit as we learn.
Human-centered design, IBM-style: we frame intent as Hills, embed Sponsor Users from your team, and design for the data — and for when the AI is wrong. Risk is surfaced here, not after.
Plan · Clause 6 · A.5 Impact assessmentWe connect and unify the systems, data, and devices already in play — with governed data provenance and access from the start.
Plan · A.7 Data · A.10 Third partiesWe engineer, verify, and deploy the system into your real environment — documented and traceable end to end.
Do · Clause 8 · A.6 Life cycleWe monitor it in production and tune — performance, reliability, and fit to the work — with every action logged.
Check · Clause 9 · A.6 MonitoringWe bring your people up to speed and keep improving the system as needs evolve and the standard expects.
Act · Clause 7 · Clause 10 ImprovementWe pair IBM's Everyday Ethics for AI with the ISO 42001 controls already in our process — so responsible design and provable governance reinforce each other instead of competing. Few can claim both; it's where design soul meets compliance rigor.
We've spent years turning complex, enterprise-scale systems and multi-channel platforms into simple mobile and desktop interfaces — from Microsoft and P&G to the University of Maryland. Now we apply that craft to governed AI, building with AI in the loop so delivery stays fast without cutting corners. Full archive at atwood.design.
Governed AI infrastructure and a member-engagement app — putting AI to work for one of D.C.'s premier membership institutions, with no in-house AI team required.
UX & Design
Speech-recognition UI
Design + ML
UX & Design
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Web · Brand
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We build on the platforms you trust and connect into the systems you already run — over MCP, REST, A2A, and custom workers. Connectors are custom and always expanding.
Big-data and IoT stacks are tailored per engagement — pipelines, warehouses, and edge/sensor platforms chosen to fit your environment.
We don't hand your team a powerful AI and walk away. We bring you up the curve of what AI can safely do — one proven step at a time, with a human in control the whole way.
Your team uses AI to draft, summarize, and answer — right inside the tools they already use. Nothing acts on its own. This is where AI literacy and trust get built.
AI executes a real, scoped task through a governed connection to your systems — a reconciliation, a board packet, a vendor follow-up. Every external action parks for human approval first.
A task that's worked reliably becomes a reusable, scheduled workflow. The team stops approving every step and starts approving only the exceptions.
Long-horizon agents run for days or weeks — learning how your organization operates and surfacing insights and improvements. Every action stays governed, logged, and provable after the fact.
It starts the moment we connect your systems to Nunc. From there it compounds — every run teaches the system more about how you operate, so the next one is sharper. The longer we run it, the more it's worth, and the harder it is to replace.
↻ …and back to the top. Every turn makes the next one smarter — the accumulated context is the moat.
We don't just consult on AI; we run it. Nunc is our governed, private AI infrastructure — the gateway, approval gates, and audit trail behind the AI we ship. When a build needs to be private and accountable by default, it runs on Nunc.
Bring your membership pain points, tech stack, and AI ambitions. We'll show you what contextualized agents doing real work actually looks like.