Crafting the Next Generation of AI

Deci’s deep learning platform automatically gears up your trained neural networks to become top performing production-grade solutions on any hardware, at scale.

Deci’s Deep
Learning Platform

Accelerate Inference Performance

Automatically accelerate inference performance by 2-10x, for any hardware, without compromising accuracy.

Scale Up on Any Hardware

Dramatically increase inference hardware utilization and cut up to 80% on your compute costs.

Deploy to Production in Days

Significantly reduce time-to-production of models with seamless and scalable deployment.

An End-to-End Approach to Deep Learning at Scale

Many AI and data science platforms focus on making incremental improvements to their models in synthetic lab environments–but don’t take into account the production environment and hardware. On the flip side, many MLOps platforms are dedicated to orchestrating and deploying these models in production, with no regard for the model itself.  Deci’s platform is all about bridging model-aware and production-aware approaches. Based on field-proven experience, we merge both approaches in a way that lets every model shine.

Deci Platform

Model
Management

Manage your trained models across all common frameworks and production hosts: cloud, on-prem, edge, and mobile

Manage your trained models across all common frameworks and production hosts: cloud, on-prem, edge, and mobile

Inference Benchmarking

Analyze and get actionable insights for your models’ fitness across different hardware hosts and cloud providers

Analyze and get actionable insights for your models’ fitness across different hardware hosts and cloud providers

AutoNAC Optimization

Automatically optimize your models’ inference throughput/latency, in a hardware aware manner, without compromising accuracy

Automatically optimize your models’ inference throughput/latency, in a hardware aware manner, without compromising accuracy

Model
Packaging

Push your models seamlessly to a standardized inference server, ready for deployment and scaling on any environment

Push your models seamlessly to a standardized inference server, ready for deployment and scaling on any environment

Model
Serving

Serve your DL models with Deci’s Runtime Inference Container or Edge SDK to get the most out of your hardware

Serve your DL models with Deci’s Runtime Inference Container or Edge SDK to get the most out of your hardware

Any Task,
Any Framework,
Any Environment

Get full portability of your model development cycle across tasks, frameworks, and development environments.

Deep
Learning Tasks

  • Computer
    Vision

  • NLP

  • Voice

  • Tabular Data

Supported Frameworks

Development Environments

  • On-Prem / Private Cloud

Achieve State-of-the-Art Performance, Powered by AutoNAC™

Boost your trained model's throughput/latency for any hardware, with Deci’s AutoNAC algorithmic optimization, without compromising on accuracy.

GPU
  • Nvidia T4
  • ResNet-50
  • ImageNet
CPU
  • Intel Xeon Gold 6328H 8-core
  • ResNet-50
  • ImageNet

For Everyone in the
AI-Driven Organization

Tech Executive /
Product
  • Unlock new DL use cases and product features by reaching unparalleled levels of performance, without having to compromise on quality
  • Reduce total cost of ownership by up to 80% by maximizing hardware utilization
  • Get to production faster by clearing bottlenecks from endless manual optimization, engineering friction, and complex deployment
Data Scientists /
ML Engineers
  • Deliver state-of-the-art models, faster than ever, without worrying about performance, model size, and other constraints
  • Focus on your core competency: solving business problems with AI
  • Work in any framework without worrying about portability or what it means for production
Developers /
DevOps
  • Smoothly integrate models with your application using a standard API, highly optimized for deep learning with near-zero communication overhead
  • Receive models as standardized production instances (such as inference container), scalable and easily deployed on any environment
  • Get actionable insights for your optimal hardware and discover new possibilities for execution on edge vs. cloud or GPU vs. CPU

Deploy Your Models Anywhere, Fast

Cloud / On-Prem / Edge / Mobile

Inference
Hardware
Container-Based
Environments
Mobile
Environments

Deploy Seamlessly with RTiC™

Deci’s Runtime Inference Container is a containerized deep learning runtime engine that easily turns any model into a blazing fast inference server.

More From Deci

Press

Deci Raises $9.1M to Optimize
AI Models with AI

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Blog

How Deci and Intel Hit 11.8x Inference Acceleration at MLPerf

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Case Study

Deci Reduces Cloud Cost by 78% for WSC Sports, Preserves Accuracy

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