ClawsGO Science is an autonomous research workspace that carries scientific literature reviews, data analyses, and LaTeX drafts from initial prompt to compiled deliverable.
What the product does and how it is positioned
ClawsGO Science is an AI-powered scientific research platform developed by BitMiracle AI. The platform is designed to automate complex, multi-step research investigations by running unattended workflows on dedicated cloud host environments. Researchers initiate projects through natural language instructions, specifying research questions or analysis tasks that the platform executes over extended periods.
The platform coordinates literature searches across academic databases, performs document deduplication, runs statistical analysis via Python scripts, and writes formal manuscripts or reports. It also includes an integrated LaTeX editor with live compilation, a revision system for reproducible scientific figures, and remote SSH connectivity to run heavy computational tasks on local lab GPUs.
Source-supported ways to use the product
Researchers can task the platform with retrieving records from academic sources like PubMed, screening abstracts, parsing full-text papers, populating evidence tables, and running meta-analysis models.
Authors can generate structured LaTeX drafts and research reports complete with formatted sections, inline academic citations, tables, and auto-compiled PDF outputs.
Laboratories can link their own GPU hardware over SSH, allowing the agent to run compute-intensive training scripts and synchronize model checkpoints back to the cloud.
Analysts can produce verified diligence memos, market sector maps, and policy briefings supported by referenced public records and regulatory filings.
The documented workflow, where available
The user enters a research objective, question, or analysis command using natural language prompts, slash commands, or file references.
The system defines an investigation protocol, queries designated scientific databases, deduplicates returned records, and filters publications through multi-pass screening.
The agent extracts study metrics into structured tables, writes and executes Python analysis scripts, and creates visualization figures.
The system synthesizes findings into a section-by-section document, cross-checks factual citations against extracted evidence, and compiles the LaTeX source.
The user inspects the execution log, reviews compiled PDF deliverables, edits LaTeX source files, or requests targeted figure revisions.
ClawsGO Science emphasizes procedural traceability across all research stages. Every shell command, script execution, file edit, and database search is logged within the task timeline, allowing researchers to inspect intermediate data or replay the entire run to verify research integrity.
For computationally intensive scientific workflows, the platform provides direct SSH integration with external lab machines. Users can register their own GPU hosts, enabling the cloud agent to launch Python environments, run training or docking scripts on local accelerators such as NVIDIA A100 GPUs, and stream resulting checkpoints directly back into the cloud workspace.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Documented sources include PubMed, Embase, Web of Science, bioRxiv preprints, ClinicalTrials.gov, EuropePMC, and CrossRef.
No, the platform is designed to run unattended on cloud hosts for multiple hours while allowing users to inspect progress across devices.
Yes, users can register external lab hosts over SSH so the agent can execute intensive computing tasks locally and sync artifacts back.
Figures are stored as reproducible packages containing code, environments, and version histories, enabling users to request direct visual revisions.
The platform provides selectable reasoning models documented as Claude Fable 5.2, Claude Opus 5.5, and GPT 6 Astra.
