ResearchPilot automatically discovers ML research papers relevant to your GitHub repos, generates concrete code suggestions, and creates PR drafts—so your team stays ahead without the manual grind.
Thousands of ML papers published every month. Your team can't keep up, so you miss optimization techniques, new architectures, and better approaches.
Engineers spend hours reading papers, then more hours translating concepts into your specific codebase. It's slow, error-prone, and expensive.
While your team manually reviews research, competitors using automated tools ship faster models, better accuracy, and more efficient systems.
ResearchPilot connects directly to your repos, understands your codebase, and automatically delivers actionable research insights.
We fingerprint your codebase—models, datasets, architectures, open issues—then query arXiv, Semantic Scholar, and other sources for papers that actually matter to your project.
Every week (or on-demand), get a "research diff" summarizing what's new, why it matters, and exactly how it applies to your files.
Review suggestions in the dashboard, then push to GitHub with one click: create PR drafts, open issues, or stash ideas in your backlog.
Install the ResearchPilot GitHub App in seconds. Grant access to the repos you want to track—public or private. No code changes needed.
ResearchPilot analyzes your codebase: models, datasets, training loops, issues, and roadmap. We extract topics, architectures, and open problems.
Using official APIs (arXiv, Semantic Scholar), we fetch papers matching your repo's topics. Papers are stored with metadata + embeddings for semantic search.
Weekly (or triggered by merges), we produce a diff: what's new, why it's relevant, and 3+ concrete suggestions with file-level anchors and code sketches.
Review suggestions in the dashboard. Approve one-click actions: create PR drafts, open issues, or save for later. Your team stays in control.
Works with private repos. Your code never leaves your infrastructure (optional self-hosted mode).
Handles repos up to 50k LOC, corpus of 500+ papers. Postgres + pgvector for lightning-fast semantic search.
Filter by topics, architectures, or specific challenges. Ignore irrelevant papers with smart filters.
Vote on suggestions, comment on proposals, and track what gets shipped vs. backlogged.
Connect multiple repos across your org. Unified dashboard for all your ML projects.
See which papers led to shipped code, performance gains, and time saved.
Stop manually scanning hundreds of papers. Get only what's relevant, pre-filtered and ranked.
Less time reading, more time building. Your team ships features while staying research-informed.
Never miss a new optimizer, architecture trick, or efficiency gain that could have saved you weeks.
Start free. Scale when you need to. No hidden fees.
For public repos and open-source projects
For small to mid-size ML teams
For organizations with advanced needs
All plans include core features. Upgrade or downgrade anytime. Cancel with one click.
Official GitHub App with OAuth. No scraping, no hacks—just clean, documented APIs.
We use official APIs from arXiv, Semantic Scholar, and Crossref. All attributions & disclaimers included.
We never store full copyrighted PDFs—only metadata, short quotes, and links as permitted by fair use.
Enterprise-grade security. Your code and data are encrypted at rest and in transit.
Join ML teams who ship faster by automating their research workflow.
No credit card required for free tier. 14-day trial for Team plan.