Synthetic Sciences provides an AI co‑scientist platform that orchestrates end‑to‑end research workflows across four interchangeable modes—Research, Biology, Flywheel, and Write—allowing users to shift objectives without losing context. The system synchronizes credentials, provisions multi‑cloud GPU resources, and integrates code repositories, experiment tracking, and data stores to automate hypothesis framing, model training, and manuscript generation in publication‑ready LaTeX with verified citations.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific research workflows increasingly rely on diverse AI models, GPU resources, and data repositories, requiring manual coordination across tools, cloud providers, and credential systems. This fragmentation slows hypothesis testing, model iteration, and manuscript preparation, especially for teams lacking integrated infrastructure.
Solution
Synthetic Sciences offers an AI co‑scientist platform that orchestrates end‑to‑end research tasks through interchangeable modes such as Research, Biology, Flywheel, and Write. Users can switch objectives mid‑session while preserving context, allowing seamless transitions between hypothesis framing, literature synthesis, experiment planning, model training, and manuscript drafting. The platform synchronizes user credentials and provisions GPU clusters across multiple cloud providers, eliminating manual setup. Deep integrations connect code repositories, experiment tracking, vector databases, and runtime environments, enabling automated workflow execution and continuous model improvement. Output is generated in publication‑ready formats with verified citations and LaTeX rendering, streamlining the path from idea to paper.
Target Audience
Primary customers are research teams in academia, biotech, and pharmaceutical companies that conduct AI‑driven experiments and need an integrated platform to manage compute, data, and scientific writing.
Features
- Four distinct modes (Research, Biology, Flywheel, Write) that adapt tool access and execution style without losing session context
- Universal credential synchronization for secure, single‑sign‑on access to all integrated services
- Automated GPU orchestration across multi‑cloud providers to scale compute on demand
- Deep integration layer that links code repositories, experiment tracking, vector stores, and cloud runtimes for coordinated workflow execution
- Continuous improvement loop that captures production usage, fine‑tunes models, and ships updated versions automatically
- Structured manuscript generation with verified citations, clean LaTeX, and camera‑ready formatting