Helios Dynamics | Molecular Intelligence Infrastructure
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What we're building

Every experiment starts with a question that already has an answer somewhere

We're building the infrastructure that makes the world's molecular data — from drug compounds to protein structures to gene expression — queryable from any AI assistant in under 50 milliseconds.

Built, not promised

  • 122M+ compounds indexed with pre-computed ADMET predictions
  • 214M+ predicted protein structures integrated from AlphaFoldDB
  • <50ms average lookup latency across all endpoints
  • 30+ data sources unified under one MCP protocol
  • 27+ tools available to any MCP-compatible AI assistant

The Problem

Fragmented data, fragmented science

Life sciences data is scattered across dozens of siloed databases — PubChem for compounds, UniProt for proteins, PDB for structures, GEO for expression, ChEMBL for bioactivity. Each has its own API, its own schema, its own limitations. A single research question can require queries to five different systems.

The Solution

One intelligence layer for all of molecular biology

Helios Dynamics pre-computes, normalizes, and indexes this data into a single intelligence layer. One API key. One natural language query. Complete molecular context — from drug-likeness scores to protein structures to regulatory compliance — returned in milliseconds.

Two products, one platform

Different tools for different workflows. Same intelligence underneath.

QuantaMCP

Cloud Platform

Cloud-native. API-first. Works everywhere your AI does.

The intelligence layer for any MCP-compatible AI assistant. Pre-computed ADMET, regulatory compliance, and research search across 122M compounds — accessible from Claude, ChatGPT, Cursor, and more.

{ "mcpServers": { "quantamcp": { "url": "https://api.quantamcp.com/mcp?key=YOUR_KEY" } } }
  • 27 molecular intelligence tools via MCP
  • FAVES compliance across 8 jurisdictions
  • Literature, patent, and clinical trial search
  • Lead optimization with safety guardrails
  • Enterprise data connectors
Explore QuantaMCP →

QBench

Desktop Application

Local-first. Your machine, your data. No browser limitations.

Local molecular computation with full 3D visualization, AI-powered analysis, and optional cloud connectivity. Your research stays on your machine — nothing leaves unless you want it to.

  • 3D molecular visualization and editing
  • Local RDKit compute — no Python required
  • Multi-provider AI chat (Claude, GPT-4o, Ollama)
  • SMILES, SDF, MOL, PDB file support
  • Optional QuantaMCP cloud integration
Explore QBench →

Cloud intelligence or desktop power — or both together.

A researcher's actual workflow

Not a feature list — a sequence of real tasks, each answered in seconds.

Ask about a compound

Get ADMET predictions, regulatory status, and relevant literature in one response. 122M+ compounds with 84 pre-computed properties each — no waiting for models to run, no stitching results together.

Optimize a lead

Generate structural variants, screen for drug-likeness and safety, check compliance automatically. FAVES screens every variant against DEA, FDA, EPA, CWC, and EU REACH as they're generated — not after.

Explore a protein target

Query structures from PDB and AlphaFoldDB, predict folding confidence, link to the compounds and genes that drive discovery. Structure meets function in a single response.

Search the literature

Papers, patents, preprints, and clinical trials — searched together across the full molecular landscape. One query replaces five separate database searches.

Enrich your warehouse

Pull compounds from Snowflake or Databricks, enrich with ADMET predictions and compliance screening, push results back. Your existing data infrastructure gains molecular intelligence without new pipelines.

Intelligence Pipeline

Building the full stack

A systematic expansion from drug intelligence to the complete molecular biology infrastructure — each wave unlocking new dimensions of pre-computed insight.

Live

Core Platform

  • Drug intelligence — 122M+ compounds
  • ADMET predictions (84 properties)
  • FAVES regulatory compliance
  • Literature & patent search
  • ChEMBL bioactivity data
  • Clinical trial intelligence
Coming Soon

Wave 1 — Proteins & Genomes

  • Protein intelligence (UniProt)
  • Structural biology (PDB)
  • Predicted structures (AlphaFoldDB)
  • ESM Atlas fold library
  • Genomic references (RefSeq, GenBank)
In Development

Wave 2 — Networks & Expression

  • Transcriptomics (GEO, Expression Atlas)
  • Molecular networks (STRING, BioGRID)
  • Non-coding RNA (RNAcentral)
  • Target-disease associations
Roadmap

Wave 3 — Multi-omics & Pathways

  • Pathway analysis (KEGG, Reactome)
  • Multi-omics integration (Harmonizome)
  • AI-native data access layer
  • Cross-domain knowledge graphs

See it in action

Add three lines to your MCP config

{ "mcpServers": { "quantamcp": { "url": "https://api.quantamcp.com/mcp?key=YOUR_API_KEY" } } }

Works with Claude, ChatGPT, Cursor, Windsurf, GitHub Copilot, and any MCP-compatible assistant. Setup takes under a minute.

Ask a real question

"What's the ADMET profile of imatinib and are there any regulatory concerns?"

No query syntax. No parameters. Your AI recognizes molecular queries and selects the right tools automatically.

Get complete intelligence back

ADMET — absorption, distribution, metabolism, excretion, toxicity predictions across 84 properties
FAVES — compliance screening across 8 regulatory jurisdictions (DEA, FDA, EPA, CWC, EU REACH, ...)
Literature — relevant papers, patents, and clinical trials
Latency — all returned in a single response, under 50ms per lookup

Built for the future of scientific discovery

Helios Dynamics is actively expanding its molecular intelligence platform. We're looking for research partners and early adopters.

Get in Touch