Agentic AI for Deep-Tech Innovation Decisions

DeepFlow designs and operates agentic AI systems that reason across complex scientific, technical, and market knowledge — turning uncertainty into defensible decisions for deep-tech.

Request Access

Our frameworks driving innovation at major organizations. We are now turning them into a scalable platform for effective innovation management and investment

NIST logo with stylized black and white design.
Logo of the University of North Carolina at Chapel Hill with a depiction of the university's iconic bell tower.
Black and white NASA logo with a circular shape, stylized stars, and orbit lines around the NASA text.
UNMC logo with the text 'University of Nebraska Medical Center'
Saudi Aramco logo on a black background with Arabic and English text
Logo of King Abdullah University of Science and Technology with Arabic and English text
Logo of Imam Abdulrahman Bin Faisal University with Arabic and English text
Logo of ART International in black and white.
A logo with a black background featuring a stylized crown and a geometric design.
DARPA logo with a globe design

Promising technologies rarely fail because they are bad, they fail because evaluation is slow, fragmented, and expert-dependent.

VALLEY OF DEATH

Expert bottlenecks
don’t scale

98% of deep-tech never reaches market

Billions lost to bad timing and misalignment

Decisions run on incomplete signals

What DeepFlow Does

Agentic Intelligence for Deep-Tech Evaluation

1. Submit

Upload a deck, paper, patent list, or internal memo — or connect your existing sources.

Diagram illustrating how a smartphone captures sound waves, which are then processed and split into multiple signals, represented by dashed lines with arrows.

2. Evaluate

Specialized agents assess technology maturity, IP strength, market fit, team readiness, and strategic viability.

3. Decide

Receive a structured evaluation with clear scores, key risks, trade-offs, and a prioritization recommendation.

Diagram of a neural network showing input data, a hidden layer, and output, with arrows indicating data flow.

DeepFlow Orca Engine

A Multi-Agent Reasoning Engine for Deep-Tech Decisions

The DeepFlow Orca Engine is a coordinated system of specialized AI agents designed to evaluate complex innovations the way expert teams do — systematically, critically, and at scale.

Instead of relying on a single model or static scoring logic, Orca orchestrates multiple domain-specific agents, each responsible for assessing a distinct dimension of innovation readiness. Their outputs are synthesized into a structured, decision-ready signal.

A grayscale pixelated image with a pattern of varying shades, no discernible objects or scene.
A diagram showing the different parts of a neuron, including the dendrites, cell body, axon, and axon terminals, illustrating how nerve signals travel through the neuron.
Prioritization Agent
Technology Maturity agent
IP Proximity agent
Markets agent
Resources agent
team assessment agent
Publication Proximity agent
Manufacturability Agent
Business Strategy Agent
Sustainability Agent
Market Fit Agent
Assessment agent
An Ishihara color vision test sheet with multiple gray and black dotted circles containing numbers and patterns.
Diagram showing data flow from marbles with labels to neural network, illustrating pattern recognition process.

Designed for High-Stakes Domains

Advanced materials

Life sciences
& biotechnology

Aerospace & defense

Clean energy

Human-Governed
by Design

Full traceability of decisions

Decision support, not decision replacement.

Explicit handling of uncertainty

Complexity preserved.
Uncertainty exposed.

Explainable agent reasoning

AI evaluates.
Humans stay accountable.

Human-in-the-loop by design

Agents reason.
Humans decide.

Traditional AI systems are fast, but collapse complexity into a single answer.

Why This Matters

Human expert panels are slow, expensive, and inconsistent.

A pixelated image of a peace symbol or a similar circular design, with a white center and gray and black surrounding pixels.

DeepFlow Orca preserves complexity without sacrificing speed

People Behind DeepFlow

We understand the complexity of deep-tech decision-making.

Deepflow is led by seasoned innovators with 40+ years’ combined experience in deep-tech R&D and commercialization. Drs. Zagit Gaymalov and Dennis Gilmore co-founded Deepflow after decades guiding high-stakes innovation projects around the world. They are the inventors of the ICANVAS® and RECOPE® evaluation frameworks (adopted by NASA, NIH, DARPA) and have held leadership roles at Moffitt Cancer Center, RTI International, PPG Industries, and Shell. Our team’s expertise and track record ensure Deepflow is built on solid scientific and industry ground

Zagit “Z” Gaymalov, PhD

Co-Founder

  • Inventor of ICANVAS® and RECOPE® frameworks

  • Inventor of Neovasculgen® gene therapy (cambiogenplasmid)

Dennis Gilmore, PhD

Co-Founder

  • Former RTI International Executive

  • 40+ years in global tech commercialization

LinkedIn
LinkedIn
A black-and-white portrait of an elderly man smiling, wearing a collared shirt and a dark jacket, standing outdoors near a modern building with large windows.
Black and white portrait of a man in a suit with a beard, looking directly at the camera.