Architecting the future of work

Agent systems in production, inside your business.

We design how your enterprise works when agents do the work, then build it with you.

We build with
  • Anthropic
  • aws
  • Vercel
  • OpenAI
Why Kybernesis

Senior people who have built this exact infrastructure before.

Partnered

We work on the platforms your teams already run, with the providers behind them.

Senior

One pod of four to six people who own delivery. No generalists learning on your dime.

Measured

Every engagement is tied to a baseline and a metric, and judged by what still runs a year later.

How an engagement runs

Weeks to production, not months.

DAY 0DAY 5DAY 10DAY 15DAY 20DAY 25DAY 30ARCHITECT · WEEK 1DEPLOY · WEEKS 2–4OPERATEDAY 30 · PRODUCTION · EVALS PASS · HUMAN APPROVESFIRST WORKING PROTOTYPEFIG. 2 · 30 DAYS, TO SCALE
Step 01Week 1

Architect

Executive alignment on the biggest lever. The workflow mapped, data and security reviewed up front, an evaluation set and a baseline for the target metric.

A production architecture, a scoped plan, and the graduation criteria.
Step 02Weeks 2–4

Deploy

A working prototype within days, built in your environment and connected to your systems. Weekly releases measured against the eval suite. Guardrails, human checkpoints, role-based access and audit logging from the start.

Production once the graduation criteria are met and a person approves.
Step 03Ongoing

Operate

Monitoring, eval regression on every model or prompt change, cost management. A champions network, role-based training and monthly value reviews against the baseline.

You own the code, data and runtime. We stay on for the next use cases.
The team

A small team that owns the outcome.

A standard engagement is one pod of four to six people working directly with the people who own the workflow. Smaller scopes run with three; multi-workstream programs run two pods under one delivery lead.

DLSAFDEFDEFDEONE POD · 4–6 PEOPLE · ONE RESULT
Delivery lead

Your single point of contact. Owns the outcome, the scope and change management.

Solutions architect

Owns the architecture, the security and data review, integration design and model selection.

Forward deployed engineers

Two to three. Build, integrate, write the evals, ship.

Shared across pods

An account executive for the sponsor relationship and a customer success manager for adoption.

From your side
An executive sponsor, a product owner, subject-matter experts who define what correct looks like, an IT and security owner, and three to five champions.
Capacity
A 23-person delivery organization, 16 of them engineers and architects, runs four pods concurrently.
Platforms

Built on the platforms your teams already run.

Anthropic
Partner

Claude across Enterprise, Code and the Agent SDK, on Anthropic's cloud or yours.

OpenAI
Partner

Responses API, Agents SDK and ChatGPT Enterprise, on the same governed runtime.

awsAmazon Web Services

Bedrock and the primitives your platform team already trusts, inside your VPC when it has to be.

Vercel

The eve runtime, Sandbox and AI Gateway: the shortest path from prototype to governed production.

Approach

How we work, and why it holds up a year later.

01

Built at the frontier

We architect against what the newest models can actually do — so your system is current at launch, not already behind.

The infrastructure for the agent era, and the people who know how to run it.

FIG. 4.0 / CAPABILITY EDGElast year's playbookwe build hereMODEL CAPABILITY / TIME
Request a conversation

Tell us what you're trying to put into production.

A senior architect reads every request directly. You get a real first take within a business day, not a calendar link.

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