Research
End-to-end research execution: hypothesis framing, literature synthesis, experiment planning, GPU training, evaluations, and manuscript drafting.
Delegate literature reviews, train models on cloud GPUs, design experiments, and generate publication-ready LaTeX with agents built for scientific execution.
npm i -g @synsci/cli
Switch modes mid-session to change objectives, tool access, and execution style without dropping context.
End-to-end research execution: hypothesis framing, literature synthesis, experiment planning, GPU training, evaluations, and manuscript drafting.
Wet-lab and computational biology specialist for protein design, genomics, pathway analysis, and biomedical reasoning workflows.
Build compounding model improvements from production usage, auto-design fine-tunes, run evaluations, and ship stronger versions continuously.
Turn rough notes into publication-ready output with structured arguments, verified citations, clean LaTeX, and camera-ready formatting.
Fine-tune DeepSeek on Tinker GPUs, run evaluations, and review literature in one continuous workspace orchestrated by your agents.
Connect once on the dashboard. Credentials sync to every agent and every session.
Connect once on the dashboard. GitHub, Hugging Face, Weights & Biases, and other API keys automatically sync to every agent and every session.
Provision compute clusters across multiple providers seamlessly.
Connect your stack once and coordinate research execution across repos, experiments, vector databases, and cloud runtimes.
Start researching immediately. Everything from package dependencies to Python environments is fully managed by our sandboxed runtime.
We develop RL environments and process-based training data for LLMs, starting with agentic coding environments for ML research workflows.
Keep long-running workflows alive in persistent browser runtimes. Start a training run or literature review, walk away, and your agents continue execution autonomously.
Each agent continues inside an isolated, stateful environment with full checkpointing and deterministic resume.
Scale from lightweight analysis nodes to full GPU clusters without changing prompts, workflows, or context state.
Queue long evaluations, training loops, and literature synthesis pipelines while your browser session is offline.
Credits cover all included models. Connect your own keys for external services.
All plans include all 4 modes · Credential sync · GPU orchestration
Mode Demo