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Universitas AI · AI for Science

LIFE
SCIENCES

From hypothesis to validated insight — faster.

Autonomous AI research agents built for the life sciences.

Literature synthesis. In silico screening. Experimental prioritization. Closed-loop discovery.

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Why Now

Biology is generating more data than human teams can process. The bottleneck is no longer knowledge — it is synthesis, prioritization, and speed.

The teams that close the loop between AI-generated hypotheses and experimental validation first will define the next decade of drug discovery, materials science, and biomedical research.

The Platform

Autonomous agents that read, reason,
and close the experimental loop.

Not a search tool. Not a chatbot. A structured research intelligence system that synthesizes literature, queries live scientific databases, stress-tests hypotheses through multi-agent debate, and surfaces prioritized candidates for synthesis or clinical validation.

What We Built

Every layer designed for
scientific discovery.

Purpose-built for research environments where data is sparse, expensive, and hard-won.

Research Intelligence
Socrates
Autonomous AI research agent. Reads, synthesizes, and reasons across literature, databases, and experimental results — continuously, at scale, without hand-holding.
Scientific Knowledge
Constellation
Curated, pre-ingested domain knowledge layer for life sciences, materials science, and biomedical research. Built before query time so agents reason from signal, not noise.
Live Database Integration
Science & Bio Connectors
Live access to Materials Project, PubChem, PubMed, AlphaFold, UniProt, ChEMBL, and clinical trials data — integrated directly into agent workflows, not pasted into prompts.
Hypothesis Validation
Multi-Agent Debate
Structured debate loops between specialized agents to surface knowledge gaps, challenge assumptions, and stress-test hypotheses before resources are committed to synthesis.
What It Enables

Compress the distance between idea and experiment.

01 — Literature Intelligence
Synthesis at Scale
Agents autonomously read, chunk, and synthesize thousands of papers — then surface what's relevant, what's missing, and what contradicts your hypothesis. Days of researcher time, compressed.
02 — In Silico Screening
Filter Before You Synthesize
Query Materials Project, PubChem, and AlphaFold in structured loops to predict properties, assess biocompatibility, and rank candidates — before a single experiment is run.
03 — Closed-Loop Discovery
Experimental Data Feeds the Model
Experimental results re-enter the system. The agent learns from each validation cycle, continuously improving candidate prioritization and tightening the generate → test → iterate loop.
Who This Is For

Built for science where every experiment
costs time, capital, and credibility.

Biotech & Neurotech R&D
Early and mid-stage companies running pre-clinical discovery programs where AI can compress the materials or compound search space before costly synthesis.
Drug Discovery & Computational Biology
Teams integrating AI into target identification, lead optimization, and property prediction — where experimental data is sparse and every validated result matters.
Materials Science & Advanced Biomaterials
Organizations designing next-generation materials — biocompatible, functional, or multiphysics — who need AI to propose, screen, and prioritize compositions in silico.
Research Institutions & Academic Labs
University and independent labs seeking AI infrastructure to accelerate grant-funded research — from literature intelligence to structured in silico experimental design.

Work with us.

Pilot
Run a research workflow with us.
Bring us a real problem — a materials class, a target, a discovery question. We'll run a structured pilot using our agent system against your domain and show you what closes in days instead of months.
Start a pilot →
Integrate
Connect to your existing stack.
API access, SDK integration, custom knowledge base buildout for your domain. Socrates and Constellation deploy into existing research workflows — not as a replacement, as an accelerant.
Explore integration →
Partner
Build the discovery platform together.
For organizations at the frontier — neurotech, advanced biomaterials, next-generation therapeutics — who want to co-develop AI-native research infrastructure, not license someone else's.
Talk to us →