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Company

Research and development for real-world AI.

Atwood is a research-and-development company for the regulated, real-world environments where AI actually has to work. We design, build, govern, and run complete intelligent systems — so organizations without an AI team can put AI to work safely.

The model

Advisory, implementation, and support.

01

Advisory

We advise you like a Chief AI Officer — strategy, roadmap, governance, and what’s worth building.

02

Implementation

We make it real — research, design, build, and deploy into your real systems, data, and devices.

03

Support

We operate, monitor, and improve it as a managed service — governed and accountable.

Heritage

Years turning complex systems into simple experiences.

Long before governed AI, we built enterprise-scale software and human-centered interfaces for major institutions — design heritage we now apply to AI, governed by default.

MicrosoftMarriottProcter & GambleAWSTradewebExelonUniversity of Maryland

See selected work →

Design soul

Rooted in IBM Enterprise Design Thinking and human-centered experience design — intelligence built for the people who use it.

Compliance rigor

Mapped to ISO 42001 and the frameworks regulated buyers expect — accountable and auditable by design.

The platform

It all runs on Nunc, our private governed gateway — so the AI we ship stays private and provable.

A person walking, formed from gold points that appear in sequence
Our process · IBM Design Thinking × ISO 42001

How we design intelligence for humans

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.

  1. 01

    Design Plan · Clause 6 · A.5 Impact assessment

    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.

  2. 02

    Systems Integration Plan · A.7 Data · A.10 Third parties

    We connect and unify the systems, data, and devices already in play — with governed data provenance and access from the start.

  3. 03

    Implementation Do · Clause 8 · A.6 Life cycle

    We engineer, verify, and deploy the system into your real environment — documented and traceable end to end.

  4. 04

    Optimization Check · Clause 9 · A.6 Monitoring

    We monitor it in production and tune — performance, reliability, and fit to the work — with every action logged.

  5. 05

    Training & Growth Act · Clause 7 · Clause 10 Improvement

    We bring your people up to speed and keep improving the system as needs evolve and the standard expects.

Responsible AI

Design ethics and governance, on the same page.

We 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.

IBM Everyday Ethics pillar
ISO 42001 control
AccountabilityA human owns every consequential action
Clause 9 · A.6 — monitoring & oversight
ExplainabilityThe system can say what it did and why
A.5 — impact assessment
FairnessBias surfaced in design, checked in data
A.5 · A.7 — data for AI systems
Value alignmentBuilt around the org’s real intent
Clause 6 — planning
User data rightsYour data stays yours, governed end to end
A.7 · A.10 — data & third parties
Standards & frameworks we work in
ISO 42001NIST AI RMFEU AI Act-readySOC 2ISO 27001OWASP LLM Top 10MITRE ATLASC4 modelWell-ArchitectedWCAG
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Let’s build something accountable.

You bring the mission and the domain knowledge. We bring the engineers, the data scientists, the infrastructure — and we keep it running.

Book a discovery call → Start with a pilot →