Release Engineering & CI/CD
Trunk-based delivery, automated pipelines, and build systems tuned to your organization — so shipping is boring and frequent.
AI Workload Optimization & Governance
Where complexity yields
to reliable systems.
EDOS Consulting is a small team of senior engineers with over a century of combined engineering experience. We ship release pipelines, cloud infrastructure, security posture, and observability that hold up under pressure — and we build the systems that let AI agents do real engineering work with governance, not vibes.
What we do
Consulting, end to end
We wrote the playbooks and carried the pagers. Our practice spans the full delivery lifecycle — and, increasingly, the governance of agentic software systems.
Cloud & Infrastructure
AWS architecture, infrastructure as code, and migration planning. Right-sized platforms without premature complexity.
Security & Compliance
Security woven in from the first commit — what the auditors hope for and compliance with law demands. Never bolted on after.
Observability & Reliability
Metrics, logs, traces, and dashboards that answer questions. SLOs your team can actually operate against.
Architecture & Delivery
Principal-level guidance for distributed systems and product delivery. Ship things that work — or don't ship them.
Agentic Engineering Enablement
Adopt AI coding agents with quality gates, audit trails, and human oversight. Governance that turns agent output into production software.
Orkestera
Agentic Workflow Management Suite
Our flagship platform for orchestrating teams of AI agents. Describe a goal in the Executive chat; Orkestera decomposes it into work and hands it to the Runner, which executes it as a workflow on the GraphAgent engine — reading files, running commands, calling models, and scoring its own results against continuous quality checks. Every run ends in a pull request on your repo. A human at the merge, not in the keystrokes.
Graph-based execution
GraphAgent runs each workflow as a directed graph of plugin nodes, not a linear script. Work moves through the graph as messages passed between nodes in both directions, and the engine executes and evaluates every node as the run proceeds. Graphs persist and re-run.
Composable plugin runtime
Every node is a plugin — a self-contained unit of behavior like reading a file, running a shell command, calling a model, or scoring a result. Extend what agents can do by adding plugins, not rewriting the core. Each node runs as its own isolated process; workflows persist and re-run from a terminal or the web.
Quality gates everywhere
Scoring lives in the graph — grading a result is just another node, so quality checks run inline, step by step. Every unit of work is evaluated before it lands, with a full audit trail and halt/resume controls.
Ends in a pull request
Never a silent push. The Runner opens a branch on your repo and the diff lands there for you to review. You're at the merge, not in the keystrokes.
Real-time observability
Watch streams every node transition, model call, and token — live on a Sprint board — so you always know what your agents are doing and what it costs.
Self-hosted & provider-agnostic
OAuth 2.1 throughout, with per-agent, least-privilege, short-lived credentials and MongoDB as your single data layer. Agents call any provider directly with your keys. Your models, your infrastructure, your data.
Orkestera is in active development with design partners.
Request early accessHow we work
Rigor over speed
Ship things that work
Or don't ship them. Quality is a constraint, not a preference — every engagement leaves behind systems your team can operate without us.
Human near the loop
Automation should remove toil, not judgment. We design systems where people set direction and machines do the repetitive work — with oversight built in.
Security is table stakes
Encrypted in transit and at rest, least privilege by default, two-factor everywhere. The boring fundamentals, done every time.
No premature complexity
We add moving parts only when there's a clear, compelling reason. Simple systems fail less and cost less.
Who we are
A small, senior team
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Travis Hill
Chief Executive Officer
Twenty years leading engineering teams and running platforms at enterprise scale. Travis leads EDOS the way he's led every good team: with clear expectations, empowerment, and ownership.
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Jeremy Anderson
Chief Technology Officer
Twenty years building software for clients of every size, and an AWS Certified Solutions Architect. Jeremy works every layer — architecture, infrastructure, code — the bridge between intricate challenges and running systems.
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Dan Lambert
Chief Science Officer
Thirty years of engineering in unusual places: radar that sees through walls, NASA research programs, and augmented-reality games at his own studio, 256 Games. If it's hard and a little weird, Dan has probably built it.
Get in touch
Let's talk about your delivery problems
Whether you need a delivery pipeline that stops hurting, a cloud migration done right, or a governed path to agentic engineering — leave your email and we'll reach out. You can also write us directly at info@edos.io.