Win research funding in your sleep.

AI-native infrastructure that turns university research into funded DoD programs.

The connective layer between your faculty and the funding they can win.

We’ve already done this — at Stanford.

Kernel’s engine, built and run by this team, moved real defense funding into Stanford labs:

$16.19MDoD funding enabled
20projects funded
14.4%of Stanford’s ONR & ARL funding

A database hands you a list. We hand you a funded grant.

01

Researchers

Faculty opt in; we learn their work.

02

Match

Surface the calls each one can win.

03

Proposal

We write the white paper and the proposal.

04

PM intro

Warm introductions to the program managers.

05

Submit

Filed, complete and on time.

06

Awarded

Funding in the lab.

Research we’ve moved from the lab toward the field.

Undersea Awareness

3D point-cloud relocalization for the undersea fight.

Autonomous Naval Systems

AI accelerators for spatial autonomy.

IR Sensor Domes

Nano-ceramic additive manufacturing.

Naval Energy

Sodium-metal batteries and resilient microgrids.

Composite UAVs

Multi-functional airframes for urban operations.

Human-Agent Teaming

Adaptive human-robot teaming for contested operations.

A frontier-AI founder, a former Ranger, and the insiders who move money into labs.

The Kernel team: Prashaant Ranganathan, Nilay Papila, and Jeffrey Decker
Prashaant RanganathanAI & Machine Learning · a16z-backed founder · Stanford CS & Design
Nilay Papila, PhDAssistant Director, Precourt TT4D · aerospace engineer
Jeffrey Decker, PhDFormer U.S. Army Ranger · Managing Director · Hacking for Defense

Win the funding your research deserves.

Apply for a pilot