AI Research Environment for Scientific Discovery

Nahseo builds autonomous agents that accelerate scientific discovery. Our agents remove the bottleneck of human bandwidth, enabling researchers to focus on high-impact problems and novel ideas.

nahseo = neural automation for hypothesis + scientific engine + orchestration

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First Customer

Bellu.ai — Accelerating robotics research with autonomous AI agents

Research Environment

Nahseo AI Research Environment

Nahseo provides a context-aware, human-centric AI research environment where autonomous agents assist scientists and labs in accelerating discovery.

Integrated Knowledgebase
All literature, datasets, and lab notes stored in a semantic knowledge graph accessible to agents across projects.
Autonomous Research Agents
Read papers, generate hypotheses, and design experiments automatically.
Collaborative AI Teammates
Track experiments, iterate on results, and maintain knowledge continuity while working alongside researchers.
Data-Driven Decision Making
Analyze lab datasets, detect patterns, gaps, and anomalies, and provide actionable experiment recommendations.
Scalable & Extensible Architecture
Modular design for multiple research domains (robotics, biology, chemistry, materials) with cloud + local hybrid compute.
01
The Problem

The pace of scientific discovery is throttled by human limits:

  • Researchers struggle to read and synthesize the growing flood of publications.
  • Hypotheses often remain untested due to slow, manual experiment design.
  • Knowledge is fragmented, repetitive, and hard to transfer across labs.

Existing tools—search engines, citation managers, and chat interfaces—do not fully synthesize, reason, or convert knowledge into actionable experiments at scale. As a result, high-value discoveries are delayed or abandoned, and research productivity is capped by human bandwidth.

02
The Engine

Nahseo agents transcend simple chat interfaces. They:

  • Synthesize and analyze literature at scale.
  • Propose scientifically creative yet feasible hypotheses.
  • Design and run parallel experiments, iterating automatically.
  • Build context-aware, portable knowledgebases that follow the researcher across projects.

This ecosystem enables collaborative AI teammates, empowering labs to pursue the most ambitious problems efficiently, reliably, and reproducibly.

Case Study

First Customer

Bellu.ai is the first customer of Nahseo. They use our agents to accelerate robotics model development, experiment design, and dataset analysis — creating a live AI-assisted research loop.

Customer
Bellu.ai
Accelerating robotics research with Nahseo's autonomous AI agents

Model Development

Accelerating robotics model development with AI-assisted research and experimentation.

Experiment Design

Automatically designing and iterating on experiments to optimize research outcomes.

Dataset Analysis

Analyzing datasets to detect patterns, gaps, and anomalies for actionable insights.