Make All Software Run Fast

Slow code costs companies $200B annually in wasted compute. 
A half-second of latency causes 20% user drop-off. Yet optimization remains manual, requiring expertise most teams don't have.

Codeflash automatically optimizes Python code using AI. We integrate into your GitHub workflow, making every pull request faster while ensuring correctness. No manual effort. No expertise required.

The result?

Computer vision models run 25% faster.
Critical paths are optimized.
Your engineers ship features 
while we handle performance.

Our Story

I've been obsessed with code performance since building GPU optimization tools at NVIDIA. After training GPT-2 models at Cresta and rising to Staff Engineer, I kept seeing the same problem: talented engineers shipping code that could run 5x faster, but lacking time to optimize.

When GPT-4 launched, I realized we could use LLMs to automate what performance experts do manually. That's when I founded Codeflash.

Today we're helping companies like Roboflow, Pydantic, Langflow, and Unstructured ship faster code automatically

Saurabh Misra

Founder & CEO

Backed by Industry Leaders

Supported by founders and engineering leaders from companies that built modern development infrastructure.

25% faster object detection

(80 → 100 FPS)

Case Study

13.7x faster incremental token decoding


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10% less e2e latency in document processing


Case Study

16 merged optimizations

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9x faster encoding for WAN model


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Up to 300x speedups

Check merged PRs

25% faster object detection

(80 → 100 FPS)

Case Study

13.7x faster incremental token decoding


Check merged PR

10% less e2e latency in document processing


Case Study

16 merged optimizations

Check merged PRs

9x faster for for WAN model


Check merged PR

Up to 300x speedups

Check merged PRs

Why Codeflash

The only automated optimizer in the world

While others build coding agents that write slow code, we make all code fast

Domain-specific optimizers only handle databases or ML models—we optimize everything

Developer-first approach: integrates directly into pull requests, no workflow changes

Proven Results

25%

faster inference for YOLOv8 models

100+

From 2x to 55x speedups across real production code

From 2x to 55x

optimizations merged by top engineering teams

Join the Continuous 
Optimization Movement

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