sudotech.io

SUDO Technologies, Inc.

Implement your vision of an AI system.

Secure. Efficient. Collaborative.

Start a conversation See selected work

Designing and building your custom AI solution, together.

You know how to run your business. We know how to design AI systems. Our model keeps your team in the driver's seat. You can focus on the What and the Why, we will focus on the How.

  • Strategy, architecture & delivery
  • Senior engineering throughout
  • Client-owned systems, no lock-in
  • Security-first by default

01 / What we do

Two ways to engage

Reference architecture diagram: your data and systems feed an AI system, through human review, to verified outputs — over a layer of controls and governance.

AI strategy, architecture & delivery

Whether you are AI curious or an expert at using commercial AI tools, our team can help translate AI into productivity. We identify the workflow where AI actually pays off, design the architecture, and see it through to a working system — including telling you when you don't need AI at all.

More on AI consulting
Pipeline diagram: inputs feed multi-pass agents, then a deterministic code layer that enforces citation and confidence, producing audited outputs for human approval.

Purpose-built AI systems

We have years of experience building purpose-built agentic systems, including deep-research pipelines, document-heavy workflow automation, and decision-support tools. AI does not need to be a black box. Our systems are built to be audited: claim-level citations, confidence grading, and human review where it matters.

More on custom systems
Case-study diagram: a multi-pass agent loop over a regulatory framework, value chain and candidate markets, recording claims into a ledger so every sentence in the draft report is cited, graded and traceable.

02 / Selected work

Agentic industry research for a national regulator

A deep-research system that performs in-depth research on specific industries in minutes, not days. The system maps an industry's value chain from official sources first, and produces a draft where every claim is cited, confidence-graded, and traceable to archived evidence — so the regulator's economists and lawyers can focus on analysis instead of chasing sources.

  • Claim-first generation — prose is derived only from approved, sourced claims
  • Four-tier source hierarchy; low-trust sources are discovery-only, never cited
  • Abstention is first-class: no reputable source means a flagged gap, not a guess
Read the full case study

03 / How we work

From scoping to handoff

Scoping
A short, fixed-scope sprint: find the highest-value workflow, test feasibility against your real data, and produce a buildable architecture and decision memo.
Team-building
Deploying an AI tool is about getting the right decisionmakers on the same page. We work with you to assemble an efficient team, rotating members as needed based on design phase.
Prototype
A working prototype against real inputs — with evaluation criteria defined up front, so "does it work" is a measurement, not an opinion.
Production
Hardened, deployed, and observable — in your cloud accounts and your repositories from day one. Weekly demos, no final reveal.
Handoff
Documentation, runbooks, and architecture decision records. You own the IP and can run the system without us.

Every claim is cited, confidence-graded, and traceable to archived evidence.

Tell us what you're trying to build.

Start a conversation

Partners — we build on

  • OpenAI
  • Anthropic
  • Google
  • Amazon AWS