Patent Pending · Raising Pre-Seed

The operating system
for scientific R&D

6.6 million simulation-ready materials. 220+ virtual labs. One API. Replace months of physical experiments with a single call.

Request Early Access See the Platform
6.6M
Materials
220+
Virtual Labs
<10ms
API Latency
386x
vs COMSOL
The Problem

Physical R&D is slow, expensive,
and locked out of the AI era

Research teams spend months and hundreds of thousands of dollars on experiments that could be simulated in seconds. Meanwhile, AI agents have zero access to validated scientific tools.

Tiny databases, enterprise prices

COMSOL has 17K materials and charges $10K+/year. ANSYS Granta has 10K materials at $15K+/year. Researchers hit walls constantly.

Reference data, not simulation data

MatWeb has 120K materials but they're reference-only. You can't feed them into a simulation. Researchers waste days reformatting.

No AI integration path

GPT, Claude, and autonomous research agents are exploding. None of them can run a validated simulation. The tools don't have APIs.

Fragmented across domains

Physics in one tool, chemistry in another, biology in a third. No unified platform means no cross-domain discovery.

The Platform

One API for all of science

QuLab Infinite gives researchers and AI agents instant access to the world's largest simulation-ready materials database and 220+ validated virtual labs.

6.6M Materials Engine

241K alloys, 6.26M composites, 17K temperature variants from 4K to 1473K. Every material has complete thermal, mechanical, and electrical properties.

220+ Virtual Labs

Physics, chemistry, biology, medicine, engineering, earth science, materials science, computer science. Each with validated simulation models.

AI-Native Interface

MCP protocol support so any LLM or autonomous agent can run experiments directly. First science platform built for the agent era.

Quantum-Enhanced Search

30-qubit quantum simulator with VQE optimization delivers 12.54x faster design-space exploration across millions of materials.

🔬

Clinical-Grade Diagnostics

10 medical diagnostic labs validated against peer-reviewed standards including NIA-AA, Sepsis-3, CKD-EPI 2021, and MDS-UPDRS.

Full-Stack Deployment

REST API, 93 lab GUIs, CLI tools, Docker containers, MCP server. On-prem or cloud. Production-ready today.

# Find lightweight, high-strength materials for aerospace
import requests

response = requests.get(
  "https://api.qulabinfinite.com/v1/materials/search",
  headers={"Authorization": f"Bearer {API_KEY}"},
  params={
    "min_tensile_strength": 800,
    "max_density": 4.5,
    "temperature": "773K",
  }
)

# Returns 2,847 matching materials in 8ms
# COMSOL would return 12.
The Data Advantage

386x more materials than the industry leader

Capability QuLab Infinite COMSOL ANSYS Granta MatWeb
Total Materials 6,609,495 17,131 ~10,000 120,000
Simulation-Ready 100% Reference only
Composite Materials 6,260,680 ~500 ~300 ~1,000
API Access Full REST Enterprise only
AI / LLM Integration MCP Native
Quantum Enhancement 12.54x speedup
Price $99–$499/mo $10K+/yr $15K+/yr Free (limited)
Who It's For

Built for researchers, engineers, and AI agents

Whether you're optimizing battery cathodes, screening drug candidates, or building autonomous research systems.

Materials Science

Battery & Semiconductor R&D

Screen millions of material combinations for optimal electrochemical properties. Replace 6-month experimental cycles with hours of simulation.

Pharma & Biotech

Drug Discovery & Interaction

Simulate molecular interactions, run clinical trial models, and screen compounds across validated pharmacological engines.

AI & Agents

Autonomous Research Systems

Give your AI agents the ability to actually do science. MCP-native integration means any LLM can run validated experiments through a single API.

Early Access

Be first in line

We're onboarding design partners now. Request access to get API credentials and a dedicated onboarding session.

Researchers from MIT, Stanford, and Fortune 500 R&D teams are already on the list.

Added to the waitlist. We'll be in touch soon.