Hero Image

Meet Yasp

Meet Yasp

Meet Yasp

The best AI compiler on the market.

The best AI compiler on the market.

How it all started

Our journey began in early 2023. For the first two years, we operated in a focused "stealth mode," dedicating ourselves to the most challenging aspect of our work: advanced AI training. This initial phase allowed us to develop robust foundations and create strong synergies, enabling seamless and scalable AI inference and model deployment.

We're a highly skilled and experienced team with roots in Canada and Germany, collaborating across continents and strategically expanding our global footprint, with an upcoming presence in the USA. Our dedication to innovation quickly led to a successful seed funding round. We're excited to have opened our new offices in Munich and Montreal, which serve as key locations for our ongoing development and growth.

Our goal is to transform complex AI capabilities into practical, effective tools that empower businesses in the evolving digital landscape.

Building the future

Building the future

Building the future

With our yasp AI Compiler we offer a solution for improving AI training and seamless and scalable deployment.

With our yasp AI Compiler we offer a solution for improving AI training and seamless and scalable deployment.

City skyline illuminated at dusk.
City skyline illuminated at dusk.
man in white dress shirt standing beside woman in white long sleeve shirt
man in white dress shirt standing beside woman in white long sleeve shirt

First funding

First funding

First funding

Seed Round closed in Q1 2025.

Seed Round closed in Q1 2025.

Skilled team

Skilled team

Skilled team

Highly skilled and experienced team based in Germany and Canada.

Highly skilled and experienced team based in Germany and Canada.

three men laughing while looking in the laptop inside room
three men laughing while looking in the laptop inside room
aerial photo of city buildings near bodies of water at daytime
aerial photo of city buildings near bodies of water at daytime

World

World

World

Locations in Montreal and Munich.

We are turning todays AI development into smart solutions

We are turning todays AI development into smart solutions

We are turning todays AI development into smart solutions

Training and inference at scale are hindered by the challenges of manual optimization. This demanding process requires deep expertise and significant time, creating major hurdles in bringing AI solutions to production.

Training and inference at scale are hindered by the challenges of manual optimization. This demanding process requires deep expertise and significant time, creating major hurdles in bringing AI solutions to production.

Other clouds

Manual kernel tuning is slow and requires experts

Manual kernel tuning is slow and requires experts

Python overhead (Line by line execution) and generic kernels drag down training speed

Python overhead (Line by line execution) and generic kernels drag down training speed

Python overhead (Line by line execution) and generic kernels drag down training speed

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Switching from NVIDIA to AMD (or any new chip) means rewriting code

Edge inference struggles with tight memory & power budgets

Edge inference struggles with tight memory & power budgets

Edge inference struggles with tight memory & power budgets

Cloud compute bills skyrocket due to inefficient training runs

Cloud compute bills skyrocket due to inefficient training runs

Cloud compute bills skyrocket due to inefficient training runs

Fragmented toolchains slow teams down

Fragmented toolchains slow teams down

Fragmented toolchains slow teams down

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Push-button AI compilation – auto-generates kernels, eliminating hand-tuning.

Machine-code generation – compile layers directly to hardware.

Machine-code generation – compile layers directly to hardware.

Machine-code generation – compile layers directly to hardware.

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Hardware-in-the-loop retargeting – one command rebuilds the model for any hardware

Ultra-light binaries – device-specific code generation

Ultra-light binaries – device-specific code generation

Ultra-light binaries – device-specific code generation

Speed-ups = lower spend – faster runs = fewer GPU-hours

Speed-ups = lower spend – faster runs = fewer GPU-hours

Speed-ups = lower spend – faster runs = fewer GPU-hours

One simple API – handles both training with few lines of code changes to adopt

One simple API – handles both training with few lines of code changes to adopt

One simple API – handles both training with few lines of code changes to adopt

Our management team

Our management team

Our management team

Our team of experts building cutting edge technology

Our team of experts building cutting edge technology

man's grey and black shirt
man's grey and black shirt

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment

Get ready to scale your Compiler

Agentic AI Compiler for Accelerated
AI Training And Deployment