NOW IN DEVELOPMENT

The Intelligence Layer for AI Infrastructure

Kernel optimization is an NP-hard problem. We're building the system that solves it automatically, so every engineer can ship production-grade AI without needing a PhD.

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$758B
AI Infrastructure by 2029
85%
Projects Delayed by Talent Gap
22K
True AI Specialists Globally

Hardware × Models × Workloads

Each dimension traditionally requires manual expert work. KernelSage automates all three.

01

Hardware

New silicon launches. Optimal solutions transform entirely. Expert intuition doesn't transfer.

KernelSage maintains hardware abstractions and generates novel pipelining strategies as silicon evolves.

52-62% cost reduction vs generic kernels
02

Model

Each new architecture requires hand-crafted optimizations. FlashAttention took PhD-level insight.

Graph analysis with learned heuristics discovers fusion opportunities automatically.

2-4x speedups like FlashAttention
03

Workload

Batch distributions shift. What worked yesterday fails today. Teams tune endlessly.

Intelligent auto-tuning against actual workload distributions. Every deployment teaches the system.

100-1000x efficiency gains possible
The Team

Built by kernel engineers, for everyone

We've spent years building the exact systems KernelSage now automates.

COMING SOON

Real-world validation

The techniques KernelSage automates have been proven at scale.

TPU throughput improvement via vLLM
vLLM Blog, Oct 2025
2-4×
Speedups from FlashAttention
Dao et al., 2022-2025
3-4×
Google MoE kernel speedup
SemiAnalysis, Nov 2025
50T
Tokens processed daily
Fireworks AI, Nov 2025

Ready to unlock trapped demand?

Join the companies building on the intelligence layer for AI infrastructure.

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