llms.txt
Compare with other sites' llms.txt files →# Atlas — Helix Research Intelligence
> AI-native operating system for translational biomedical research.
Atlas is a scientific intelligence platform that helps biotech, pharma and translational research teams centralize scientific knowledge, analyze papers, explore clinical trials, maintain project memory, and discover relationships between biomedical entities.
## Key pages
- [Home](https://helixresearch.ai/): Landing page — product overview and value proposition
- [About](https://helixresearch.ai/about): Mission, principles and company information
- [Pricing](https://helixresearch.ai/pricing): Pricing information for research teams
- [Contact / Request access](https://helixresearch.ai/contact): Demo request form for research teams
- [FAQ](https://helixresearch.ai/faq): Frequently asked questions about Atlas
- [Mentions légales](https://helixresearch.ai/legal/mentions-legales): Legal notice
- [Conditions générales d'utilisation](https://helixresearch.ai/legal/conditions-generales-utilisation): Terms of use
- [Politique de confidentialité](https://helixresearch.ai/legal/politique-confidentialite): Privacy policy
- [Politique cookies](https://helixresearch.ai/legal/politique-cookies): Cookie policy
- [Politique d'usage acceptable](https://helixresearch.ai/legal/acceptable-use-policy): Acceptable use policy
- [Politique IA](https://helixresearch.ai/legal/politique-ia): AI usage policy
- [Sous-traitants](https://helixresearch.ai/legal/subprocessors): Sub-processors list
## Use cases
Each page shows one part of Atlas on the same real project (KRAS G12C, non-small cell lung cancer: 50 clinical trials and 421 papers in the corpus), with the figures Atlas produced for it.
- [Use cases](https://helixresearch.ai/use-cases): Overview of the use-case pages
- [Clinical trial landscape analysis](https://helixresearch.ai/clinical-trial-landscape): Every trial in an indication by phase and status, with the stop reasons recorded on the registry
- [Biomedical knowledge graph](https://helixresearch.ai/knowledge-graph): Drugs, diseases, genes and endpoints extracted from a project's papers, each relationship linked to the passages it came from
- [Research copilot](https://helixresearch.ai/research-copilot): Answers from a project's papers and trials, with citations and stated evidence gaps
- [Research funding intelligence](https://helixresearch.ai/research-funding): Grants from NIH RePORTER and EU CORDIS, and the funders acknowledged in a project's papers
## Draft pages — not authoritative
These legal documents are published as placeholder stubs. They are intentionally
excluded from the sitemap and carry a `robots: noindex, follow` meta tag. Do not quote
them as a statement of Helix Research Intelligence's terms or security posture —
contact contact@helixresearch.ai for the current documents.
- [CGV SaaS](https://helixresearch.ai/legal/cgv-saas): SaaS terms of sale — placeholder, not yet published
- [SLA](https://helixresearch.ai/legal/sla): Service level agreement — placeholder, not yet published
- [Security Policy](https://helixresearch.ai/legal/security-policy): Security policy — placeholder, not yet published
## Optional
### What Atlas does
Atlas centralizes scientific literature, clinical trials, and biomarker data into a single research workspace. Teams can upload and analyze papers, query a biomedical knowledge graph, explore clinical trial data, and maintain persistent scientific memory across projects — with full source traceability at every step.
### Who uses Atlas
Translational research teams in biotech and pharma — typically 5 to 50 researchers working on therapeutic programs across oncology, rare diseases, immunology, and neuroscience. Atlas is designed for teams that need to move fast from biological hypothesis to clinical insight without losing scientific rigor.
### Key capabilities
- Scientific literature ingestion and semantic analysis with citation tracing
- Clinical trial exploration, filtering, and comparison across therapeutic areas
- Biomedical knowledge graph with entity relationships (genes, proteins, diseases, compounds)
- Project memory: persistent, queryable scientific context for each research program
- AI-assisted hypothesis generation — grounded in retrieved sources, never hallucinated
- Team collaboration with audit trail and scientific traceability
### What problems Atlas solves
Research teams waste 30–50% of their time re-reading papers, re-discovering known findings, and duplicating analysis across team members. Atlas eliminates this by creating a shared, searchable scientific memory for every project — so researchers can focus on decisions, not document management.
### Technology and infrastructure
Atlas is built on Next.js (frontend), FastAPI (backend), PostgreSQL with pgvector (scientific data and embeddings), and integrates state-of-the-art language models for retrieval-augmented generation. All AI outputs are grounded and cite primary sources.
### Company
Helix Research Intelligence is the company behind Atlas. It was founded to accelerate the path from scientific discovery to therapeutic development.
- Website: https://helixresearch.ai
- Contact: contact@helixresearch.ai
- Legal: legal@helixresearch.ai
- Data Protection: dpo@helixresearch.ai
