Latentai.com

Latentai.com

United States
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Latent AI – Ultra-Fast, Secure Edge AI Platform

About Latentai.com

Latent AI offers an advanced edge AI platform designed to simplify the development, optimization, deployment, and management of AI models on resource-constrained edge devices such as drones, sensors, and rugged hardware. At its core is the Latent AI Efficient Inference Platform (LEIP), which automates complex machine learning workflows, enabling engineers and data scientists to build high-performance, secure AI solutions without deep expertise. Key components include LEIP Design for model selection and fine-tuning with user data, LEIP Optimize for compressing and compiling models to reduce size and boost inference speed by up to 73% while cutting GPU needs by 92%, and LEIP Deploy for secure, standardized runtime deployment across diverse hardware. The flagship Latent Agent revolutionizes edge AI development with a plain-language chat interface and VS Code extension, accelerating MLOps pipelines from exploration to deployment. Powered by Latent AI Recipes—a knowledge base from 200,000+ hours of edge compute and 12TB of telemetry—it provides optimized model-hardware recommendations, automates training, and enables adaptive models that self-monitor for drift, trigger retraining, and perform OTA updates autonomously. Additional tools like Latent Assisted Label reduce data labeling efforts by 99% via AI-assisted workflows, and the Latent Ruggedized Toolkit (RTK) supports off-grid, military-grade deployments with no-code interfaces. Tailored for defense, commercial, and enterprise use, Latent AI integrates with frameworks like TensorFlow, PyTorch, and ONNX, supporting modalities such as computer vision for detection, classification, and segmentation. It ensures enterprise-grade security through watermarking, encryption, and version tracking, while real-time diagnostics maintain model performance. By tackling edge AI challenges like power, size, and compute constraints, Latent AI empowers teams to scale deployments rapidly, from lab to field, fostering innovation in real-time applications.
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Key Features

  • Natural language interface via Latent Agent for 100x faster edge AI development and automated MLOps
  • LEIP optimization reducing model size, inference time by 73%, and GPU requirements by 92%
  • Adaptive AI with self-healing, drift detection, and secure deployment across diverse edge hardware

Use Cases

  • Deploying real-time computer vision models on drones and sensors for defense and off-grid missions
  • Optimizing and securing AI models for enterprise edge devices in commercial IoT applications
  • Automating data labeling and model lifecycle management for scalable field AI operations

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