01 — Your team

Fifteen specialist minds. One research loop.

ARIA orchestrates. Eleven specialists do the thinking. A Patent agent and Grant agent handle the paperwork. A Red Team agent stress-tests everything before you ship. Hire who you need, swap who you don't.

00

ARIA

Orchestrates the room.
01

Planner

Sequences the work.
02

Researcher

Finds the prior art.
03

Analyst

Reads the numbers.
04

Coder

Ships working code.
05

Writer

Clarifies the draft.
06

Physicist

First-principles.
07

Biologist

Knows the wet lab.
08

Computer Scientist

Theory & complexity.
09

Data Scientist

Models the distribution.
10

Strategist

Asks why.
11

Marketer

Frames the story.
12

Patent

Drafts USPTO-format.
13

Grant

SBIR / NIH / NSF.
14

Red Team

Adversarial review.
+

Your own

Ethicist. Clinician. Whatever.
02 — The science

Why multiple minds matter.

A single model will occasionally fabricate a citation, mis-derive an equation, or confidently hallucinate. Inside science, that's a showstopper.

Neko Labs is built around multi-agent debate because the research says it works. When specialist agents critique each other's reasoning before committing to an answer, fabrications get caught in the loop — not in your paper.

In fields like ours — computational biology, physics, anything quantitative — a confident-sounding wrong number is far more damaging than a visible "I don't know."

Hallucinations
Agents detect and correct each other's unsupported claims.
Factual accuracy
Consistent gains across MMLU, Biographies, TruthfulQA.
Robust reasoning
Debate recovers correct answers even when agents start wrong.
Primary citation
Multiple language model instances propose and debate their individual responses over multiple rounds — improving factual validity and reducing hallucinations that contemporary models are prone to.
Du, Y., Li, S., Torralba, A., Tenenbaum, J. B., & Mordatch, I.
Improving Factuality and Reasoning in Language Models through Multiagent Debate.
ICML 2024 · arXiv:2305.14325
arXiv:2305.14325 ↗
And the finding has held up.
  • Chan et al. — ChatEval (ICLR 2024): multi-agent debate improves evaluation.
  • Lin et al. — Mitigating Hallucination in MLLMs through Debate (2024).
  • Growing body reporting 10–30% fewer hallucinations on factuality benchmarks.
03 — Features

What's inside Neko Labs.

04 — Pricing

Simple, transparent pricing.

14-day free trial
Try it free.
$0 for 14 days

Full access to everything — same product, same features, same agents. No credit card. Cancel anytime before day 14 and pay nothing.

  • All 15 specialist agents (incl. ARIA, Red Team)
  • All modes — chat, discussion, tasks, experiment
  • Divergent search + custom pipelines
  • GitHub + Overleaf integration
  • Caveman mode
  • Full knowledge base
Start free trial →

No credit card required for trial. ✦ Annual billing: 2 months free.

Come run an experiment
with us.

Neko Labs is in early access. Bring your hardest research question and see what fifteen specialist agents can do with it.