SPECIALISTS SHARE AN OPEN COORDINATION HUB
Agentic WorkflowsYour process, on cue.
A supervised crew of agents triages, drafts, routes and reconciles around the clock. It stops at the checkpoints where your judgment lives.
A NEOLAB FOR AMBITIOUS TEAMS
We design agentic workflows and fine-tune models around your people, processes, and expertise.
NEOLAB
WHO WE ARE · AGENTIC WORKFLOWS / FINE-TUNING / RAG / DATA / RL ENVIRONMENTS
Zeton builds agentic workflows on models fine-tuned to your team's playbook. Supervised swarms keep the operation moving while your people do the thinking.
What drives us
THREE THINGS WE WON'T BUDGE ON
We study how your best people work: the judgment calls, the exceptions, the unwritten rules. Then we build agents that inherit it.
Every workflow runs against your real cases in evals before it touches production. No surprises on stage.
Agents take the repetitive work. Humans keep the checkpoints where judgment lives, and the credit.
THREE PRACTICES · ONE REHEARSED CREW
SPECIALISTS SHARE AN OPEN COORDINATION HUB
A supervised crew of agents triages, drafts, routes and reconciles around the clock. It stops at the checkpoints where your judgment lives.
ONE INSTRUMENT, PRECISELY TUNED
Frontier models learn your tone, formats and edge cases from the real answers your best people give. You own the weights.
AN ANSWER HELD BY ITS SOURCES
Retrieval brings your documents, tickets and decisions into every answer. Each one stays current, permissioned and traceable to the line it came from.
FOR LABS AND AGENT TEAMS
Rehearsal stagesfor your agents.
We build and sell the training data and RL environments agents learn from: expert-written demonstrations, graded tasks and sandboxed copies of real software. Each environment ships with a verifier that scores every run.
KNOWLEDGE, IN THREE CLEAR LAYERS
Demonstrations, preference pairs and eval sets written by people who do the work every day. Every item ships with its rubric, reviewer notes and provenance.
AN AGENT, A SANDBOX, A GOAL
Sandboxed replicas of the tools agents use at work: CRMs, ticket queues, spreadsheets, codebases. Every task carries a verifier, so each run returns a reward.
MAP · TEACH · RUN
WEEKS 1-2
We sit with the people who own the process and sort the queue: what an agent handles, what stays human, where the checkpoints go. It ends with an eval set built from your real cases.
01 / 03
An eval set from your real cases
What you leave with
LET'S TALK
Book a 15-minute working session. Bring one process that hurts. We'll leave with a plan for it, and an honest answer on whether we're the right neolab.
BEFORE YOU ASK