Model optimization
Transform large AI models into efficient representations designed for real deployment constraints.
AI optimization and deployment
Efficient AI.
Everywhere.
CoCoPIE builds full-stack software that streamlines AI deployment and execution across data centers, mobile devices, edge platforms, and IoT systems.
AI model + requirements
Co-optimize
Mobile
Edge
Cloud
IoT
Optimized model + deployable code
2020Founded
Full stackModel, compiler & runtime
Cross-platformCloud to device
On-premisePrivate deployment options
About CoCoPIE
Turning advanced AI into practical systems
AI models are becoming more capable—and more computationally demanding. CoCoPIE develops software that helps organizations bring those models to the platforms where they are needed.
Our technology coordinates optimizations across the AI software stack, helping teams improve execution efficiency, reduce model footprint, and simplify deployment. The result is a more direct path from a trained model to production-ready AI.
Core technology
Optimization across the entire AI stack
Instead of treating model compression, compilation, and runtime execution as isolated steps, CoCoPIE designs them to work together.
AI-aware compilation
Generate optimized executable code tailored to the structure of the model and the target platform.
Runtime efficiency
Map and schedule AI workloads to use available compute and memory resources more effectively.
Deployment automation
Move from model requirements to deployable artifacts through an integrated optimization workflow.
CoCoPIE XGen
From AI model to deployment-ready code
XGen is CoCoPIE’s full-stack optimization platform for AI deployment. It combines model optimization, code generation, runtime support, and real-device evaluation in one workflow.
- Works with built-in and customized models
- Supports requirement-driven optimization
- Integrates target-device performance testing
- Offers on-premise deployment options
01
Define
Model, data, accuracy, latency, size, and platform requirements
02
Co-optimize
Coordinate model compression, compiler transformations, and runtime decisions
03
Validate
Evaluate model quality and execution behavior on target devices
04
Deploy
Integrate optimized models and generated code into production applications
Why efficient AI matters
More intelligence, closer to where data is created
Efficient deployment can make AI more responsive, private, reliable, and economical across a wide range of platforms.
Lower latency
Run more inference close to users and devices, reducing dependence on network round trips.
Better privacy
Keep sensitive inputs and models within controlled environments or directly on devices.
Reduced cost
Use compute, memory, power, and network resources more efficiently throughout deployment.
Faster delivery
Replace fragmented optimization work with a more automated path to production.
Company
Built by researchers and engineers advancing efficient AI
CoCoPIE was founded in 2020 to commercialize innovations in AI model optimization, compilers, and edge computing. The company’s work grows from research in compression–compilation co-design and full-stack AI optimization.
HeadquartersBoston, Massachusetts
IndustryAI software
FocusEfficient AI deployment
Contact
Let’s bring your AI to the platforms that matter.
Connect with CoCoPIE to discuss AI optimization, deployment requirements, technical evaluation, or partnership opportunities.
info@cocopie.ai
2 Burlington Woods Dr, Suite 100
Burlington, MA 01803
Burlington, MA 01803