Reading more papers should help you make a clearer decision.

SynaptiQ ResearchOS helps engineers and applied-AI teams explore research evidence and decide what to test next.

Start with a research question. Optionally add your project’s data, hardware constraints, response-time needs and success criteria. ResearchOS retrieves papers from Semantic Scholar and arXiv, then organises the findings into a research brief.

What you can explore:
• Candidate approaches, their tradeoffs and unresolved questions.
• Exact abstract excerpts supporting proposed approaches.
• Findings that need comparison and possible research gaps.
• A proposed experiment with a baseline, metrics and failure checks.
• A connected research graph and downloadable PDF.
• An editable Markdown decision brief.

ResearchOS uses a five-agent LangGraph workflow and integrates NVIDIA-hosted Nemotron inference. Google sign-in provides access to a private research workspace.

Evidence coverage is currently abstract-level. Matching a quotation does not independently validate a scientific claim, and proposed experiments have not been executed. Source coverage is limited, and generated recommendations require review.

Built by SynapSoul Labs. We’re seeking feedback from engineers and researchers: does the brief help you choose a useful next experiment?