Developers
preview
Help us shape the AI agent that transforms your machine learning models into high-performance edge AI for any device.
latent agent
Use plain language with Latent Agent to plan, select, and optimize models for edge devices.
Latent Agent works with you to shape your AI solution, clarifying your app’s goals, inference needs, and target hardware.
Latent Agent taps into a massive 2TB of model-hardware telemetry and benchmarking data to help you pick the ideal model for your AI-enabled solution and target hardware. Easily test different model-hardware combos to find what works best for you.
Latent Agent streamlines hardware-specific tuning to maximize performance on your edge devices, eliminating the need for specialized expertise. Compilation is securely handled in Latent AI’s private cloud for a seamless process.
Latent Agent uses cutting-edge generative AI to enhance your customer experience by sifting through our documentation to provide accurate, reliable answers to your questions—no guesswork, just the facts!
developer Benefits
Accelerate your development processes to deploy models to the edge in hours, not days. Prototype on multiple devices—then push to production with zero rework.
Compile once and run across any edge device—any chip, OS, or form factor.
Autonomously detect performance drops or data drift, then trigger fast, reliable retraining using a trusted pipeline.
(coming soon)
what to expect
Chat in plain language and let Latent Agent guide your development workflow, making ML coding tasks easy and approachable.
Check out the Get Started Guide to familiarize yourself with what Latent Agent can do.
Get help when you need it and share your feedback to help us perfect Latent Agent
With Latent Agent You Can
Select a tailored vision model
Select a vision model the agent recommends, tailored to your needs and use case, powered by Latent AI’s unique benchmark data.
Import models easily
Import pre-trained models from Hugging Face or add your custom models.
Optimize for edge devices
Let the agent optimize models for your target edge devices with Latent AI’s advanced compiler.
Deploy with ease
Deploy models easily to edge devices or the cloud with the agent’s guidance and Latent AI’s efficient runtime.
Build and test prototypes
Rapidly build and test prototypes with the agent to validate your ideas effectively.
pricing
public
No credit card needed
Data and Models are public
What’s included:
premium
Data and models are private
Everything in the Public Plan, plus:
enterprise
Per month, per developer, billed monthly/annually
Data and models are private
Everything in the Premium Plan, plus:
related resources
FAQ
Learn how Latent Agent enables developers to focus on quickly building production-ready edge AI.
Latent Agent is the only agentic edge AI platform for developing edge AI end-to-end. Built on top of our proven Latent AI Efficient Inference Platform (LEIP), Latent Agent creates high-performance AI and offers self-healing features that detect drift, trigger retraining, and optimize solutions.
You can assign tasks to Latent Agent in plain language. It automates the MLOps heavy lifting of selecting a model for your use case, training the model to your data, compiling and optimizing the model and generating code necessary to run the model in your target hardware. Latent Agent, significantly cutting the time it takes to go from concept to deployment.
Getting set up is easy! Just install the Runtime Agent using Roo code in VSCode. Check out the full installation guide here for all the details!
Latent AI supports computer vision models and most transformer models. You can import open source models from Hugging Face or bring your own. You can ingest models from popular frameworks: ONNX, PyTorch, TensorFlow, TensorFlow Lite, and Keras.
Yes. You can choose to deploy directly to an edge device or on your Cloud. Fine-tuning, compilation, and model training happen on Latent AI’s secure private cloud.
Latent AI supports various edge platforms, including NVIDIA Jetson Orin and Xavier, Android Snapdragon, CUDA, ARM, and x86 running Linux.