SCINETICS / RESEARCH

Building intelligence
that can do science.

Starting with the life sciences, we develop science-native foundation models, autonomous scientific intelligence, and closed-loop experimentation.

FOUNDATION MODELS SCIENTIFIC REASONING AGENTS PROTEIN DESIGN AUTOMATED LABS

SCIENTIFIC MODELS · TECHNICAL REPORT · OCT 2026

ScienceRSI

A framework for recursive scientific self-improvement through specialization, verified capability transfer, and reuse across model scales.

55.0%4B SCI. REASONING AVG.
94.0%27B · 7-BENCHMARK AVG.
8B→27BCROSS-SCALE TRANSFER
ScienceRSI: Recursive Scientific Self-Improvement
SCIENCERSI · RECURSIVE SCIENTIFIC SELF-IMPROVEMENT
Chain of Structures protein design workflow
CATALYTIC CORE → ACTIVE SITE → GLOBAL BACKBONE → COMPLETE PROTEIN

PROTEIN DESIGN · OCT 2026

Chain of Structures

Connecting reasoning and generation for protein design through explicit structural states—from catalytic cores and active sites to complete sequences and all-atom structures.

57.0%EC3 AGREEMENT
0.729TM-SCORE
4REASONING ROUNDS

One program, from representation to recursive learning.

01 / REPRESENTScience Tokens
02 / REASONScientific Foundation Models
03 / GENERATEChain of Structures
04 / ACTSTELLA / BioClaw
05 / EXPERIMENTLabOS
06 / LEARNScienceRSI
05 — PREVIOUS WORK

Scientific intelligence, in motion.

Open research, models, and systems that established the foundations for what we are building today.

Automated Laboratories

LabOS

Intelligent operating system for autonomous laboratories

Multimodal Biology

ATOMICA

Multimodal learning for biomolecular systems

BUILD WITH US

Help shape what comes next.

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