An illustrated mountain range under a bright, cloudy sky, the land dissolving into blue dither

A NEOLAB FOR AMBITIOUS TEAMS

AI built forhow you work.

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

Agents that know the work by heart.

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

Learn the whole part.

We study how your best people work: the judgment calls, the exceptions, the unwritten rules. Then we build agents that inherit it.

Rehearse before opening.

Every workflow runs against your real cases in evals before it touches production. No surprises on stage.

Your people stay the leads.

Agents take the repetitive work. Humans keep the checkpoints where judgment lives, and the credit.

Services

THREE PRACTICES · ONE REHEARSED CREW

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.

ORCHESTRATIONGUARDRAILSOBSERVABILITYHUMAN CHECKPOINTS
See how a crew is built

ONE INSTRUMENT, PRECISELY TUNED

Fine-TuningTuned to your voice.

Frontier models learn your tone, formats and edge cases from the real answers your best people give. You own the weights.

CURATIONSFT + RLHFEVALSOWN WEIGHTS
See how a house model ships

AN ANSWER HELD BY ITS SOURCES

RAGEvery claim, cited.

Retrieval brings your documents, tickets and decisions into every answer. Each one stays current, permissioned and traceable to the line it came from.

RETRIEVALRERANKINGCITATIONSPERMISSIONS
See how retrieval is wired

Data & environments

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

Training DataWritten by experts.

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.

SFT DEMONSTRATIONSPREFERENCE PAIRSEVAL SETSRUBRICS
Request a sample set

AN AGENT, A SANDBOX, A GOAL

RL EnvironmentsReal software, scored.

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.

SANDBOXESTASK SUITESVERIFIERSREWARD SIGNALS
Book an environment demo

Method

MAP · TEACH · RUN

WEEKS 1-2

Map the work.

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

Go fromproductionin weeks,not quarters.

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.

Questions

BEFORE YOU ASK

A 15-minute working session, then a two-week mapping sprint with the people who own the process. You leave with a scoped plan, an eval set built from your real cases, and a fixed price for the next act.