Hard-Science & Deep Engineering Intelligence

Stop Pitching to Basic App Devs.
Get Verified DeepTech ICPs.

Standard "Technology" lists are full of marketing agencies and simple SaaS. Our AI agents verify Technology Readiness Levels (TRL 1-9), government grant histories (NSF/DARPA), and patent velocity to find verified Quantum Computing, Nuclear Fusion, and HardTech labs.

The "Hard Science" Data Gap

Why firmographic filters miss the high-CAPEX innovators.

Targeting "Scientific Research" returns thousands of businesses with zero commercial potential. You need to know what they discover and how they fund.

If you are selling high-vacuum gear, supercomputing cloud, or cryogenic sensors, you need the builders:

  • Academic Department Landing Pages (No budget)
  • General Engineering Consultants
  • Inactive "Stealth" Patent Shells
Metric Standard "Tech" List Our ICP Database
Classification Broad (Tech) Quantum vs. Nuclear vs. Material
Tech Signals None TRL Scale / Patent / Grant Verification
Buying Center Owner Principal Scientist / CTO
CapEx Unknown High-Bay R&D & Pilot Plant Signal

20 High-Value DeepTech ICPs

Target builders of the future of physical reality.

Quantum Computing Startups

Superconducting and ion-trap builders. Targets for cryogenics, specialized magnets, and high-end RF components.

Nuclear Fusion Innovators

Tokamak and stellarator pioneers. Targets for high-vacuum chambers, laser drivers, and tritium handling.

NeuroTech & BCI Labs

Brain-computer interface startups. Targets for micro-electrode arrays, high-res data storage, and FDA data.

Next-Gen Semiconductor Design

Photonics and neuromorphic chips. Targets for specialized EDA tools, wafer-fab gear, and fab capacity.

Space-Tech Propulsion Labs

Ion thruster and plasma engine mfgs. Targets for high-purity gasses, power electronics, and test data APIs.

Synthetic Biology Foundries

Ginkgo/Zymergen clones. Large scale bio-engineering. Targets for lab automation, genome datasets, and bioreactors.

DeepTech Defense Primes

Hypersonic and directed energy systems. Targets for ITAR compliance, high-temp alloys, and secure staffing.

Scientific Computing SaaS

Software for HPC orchestration. B2B targets for GPU cloud, specialized DBs, and White-label API packages.

Carbon Removal (DAC) Tech

Direct Air Capture startups. Targets for chemical engineering hardware, carbon registry APIs, and GIS data.

Nanotechnology Fab Centers

Contract nano-fab services. Targets for cleanroom gear, lithography tools, and vibration isolation.

DeepTech Materials Discovery

AI-driven substance innovation. Targets for lab equipment, specialized precursors, and vector storage.

Humanoid Robotics Research

Building general purpose bot bodies. Targets for high-torque actuators, sensors, and computer vision AI.

University Spin-out Accelerators

Specialized hubs (e.g. Engine by MIT). Targets for portfolio data and student software licenses.

6G & Terahertz Comms Labs

Next-gen wireless research. Targets for antenna hardware, signal analysis gear, and localized FCC data.

DeepTech Venture Capital

Investing in the hard sciences. Targets for due diligence datasets and deal-flow portals.

Cryogenic Infrastructure

Building the cooling for Quantum/Space. Targets for liquid helium supply and insulated piping.

Advanced Desalination Startups

Graphene and bio-mimetic filters. Targets for high-pressure pumps and municipal water data.

Pilot Plant & Scale-up Services

Moving labs to factories. B2B targets for industrial project mgmt and safety auditing.

DeepTech IP Advisory

Boutiques focused on tech patent strategy. Targets for data research and CRM.

Autonomous Lab Systems

Robots doing the science (Self-driving labs). Targets for AI models and sensor hardware.

Anatomy of a High-Value DeepTech Lead

In DeepTech, the "Grant History" and "TRL Maturity" define the enterprise. A company with proprietary NSF SBIR Phase II funding and a public Lab Equipment List is a top-tier account.

We extract these "Scientific Signals" to help you find the builders.

Tech Fingerprints

  • Modeling: Detection of COMSOL, ANSYS, or specialized Python (SciPy/NumPy) pipelines.
  • OS: Usage of specialized RTOS (Real Time Operating Systems) or Linux for Scientists.
  • Platform: Presence of `/research` or links to Google Scholar / ResearchGate profiles.

Growth Signals

  • Funding: Series A/B/C match for "DeepTech," "Quantum," or "Energy" tags.
  • Grants: Match against NSF, DOE, or DARPA award databases.
  • Hiring: Open roles for "Principal Investigator," "Hardware Architect," or "Systems Physicist."

Outreach Strategy: The "Grant" Play

If you sell lab automation, filter for labs with recent SBIR Phase I awards but no "LIMS" or Robot mention.
Pitch: "Unlock your Phase II data faster by automating your experiment documentation directly from your equipment via our API..."

Verification: The "Foundry" Check

We distinguish between companies that think deep and companies that build deep.

  • GitHub Presence: Are they publishing open-source scientific tools or hardware drivers?
  • Equipment Page: Do they list specific instrumentation like ASML, Bruker, or Oxford?
  • Facility Check: Does the address match a site with high-bay R&D or cleanroom signals?

This ensures you pitch to actual manufacturers, not just theoretical research groups.

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