v2.0 Model Release

Your AI Research
Organization

Accelerate discovery with a fleet of autonomous AI agents designed for high-throughput biotech research and complex pharma pipelines.

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Performance

BixBench Evaluation
SOTA
69.8% trending_up +21.0%

Synod Labs Agent Swarm

48.8%

Previous State of the Art (GPT-4)

BixBench #1
SIGGRAPH'26 Under Review
ICLR'26 Under Review
Built on Claude Agent SDK

Scientists Spend 80% of Their Time
on the Wrong Things

The current research stack is broken. Brilliant minds are stuck doing mechanical work instead of scientific discovery.

code

Fighting With Code

Researchers forced to write fragile Python scripts and debug environments instead of designing experiments.

storage

Data Plumbing

Endless hours spent cleaning datasets, normalizing formats, and manually moving files between tools.

schedule

Repetitive Analysis

Running the same manual analysis pipelines repeatedly, wasting days on tasks an agent could do in minutes.

Workflow

The Autonomous Research Loop

From initial query to final refinement, our agents handle the complexity.

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Define

Natural language goal setting

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Generate

Hypothesis creation via LLM

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Design

Experiment protocols

terminal

Execute

Simulation & lab interfacing

analytics

Evaluate

Result analysis

refresh

Refine

Self-correction loop

history Loops back to Generate phase

Meet Your Team of
Research Agents

Specialized agents working in concert to solve complex problems.

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Synod Core

Central Intelligence

The central brain that coordinates all specialist agents.

psychology

Chief Scientist

Strategy & Orchestration

biotech

Genomics

Sequence Alignment & Variants

hub

Proteomics

Protein Structure & Interactions

account_tree

Pathway Analyst

Biological Pathway Analysis

science

Comp. Chemist

Molecule Optimization

health_and_safety

ADMET Expert

Drug Safety Profiling

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ML Scientist

Predictive Modeling

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Lit Reviewer

Literature Mining

functions

Biostatistician

Statistical Analysis

69.8%
ACCURACY

Achieved on the rigorous BixBench benchmark, surpassing previous SOTA by 21%.

5
PAPERS

Peer-reviewed publications generated autonomously and accepted at top venues.

5 Days
TO DISCOVERY

Average time from hypothesis to candidate molecule selection (vs. 6 months).

The Claude Code Moment
for Science

Don't let manual workflows bottle-neck your brilliance. Join the top biotech firms accelerating discovery with Synod Labs.