Latent AI

Latent AI

Software Development

Skillman, New Jersey 3,091 followers

The all-in-one platform that helps you model with certainty and deploy with confidence

About us

Latent AI is a leading expert in edge AI, specializing in simplifying the complex process of implementing AI on any device. Established in 2018, Latent AI's cutting-edge developer platform is trusted by both government and commercial organizations looking to revolutionize their operations by harnessing the power of AI at the edge. Our tools empower developers to rapidly build secure, adaptive models, and seamlessly update them in the field or lab. For more information on how we help organizations create better and safer AI more quickly, please visit latentai.com.

Industry
Software Development
Company size
11-50 employees
Headquarters
Skillman, New Jersey
Type
Privately Held
Founded
2018

Products

Locations

Employees at Latent AI

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  • View organization page for Latent AI, graphic

    3,091 followers

    Boo! 👻 Happy Halloween from your spooky squad: 🍩 Glazed Donut, 📿 Monk ⚔️ Wolverine, 🌫 Mr. Invisible, 🤖 Tony Yolov2, 🍄 Mario, 🔮 Latent AI Booth Queen, 😷 Plague Doctor, 💃 Flamenco Dancer! 🎃💀

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    3,091 followers

    Closing out #DODIIS24 today after two full days of great conversations with current and future partners in the intelligence community. We look forward to enabling more customers within the IC to build their AI solutions. Couldn't miss a visit to our partners at Esri and connecting with Terry Ryan! We look forward to meeting more folks in the Esri ecosystem Todd Smith. Visit Latent AI at booth 809 here on day 3! Ryan Fantus | Sek Chai | Jags Kandasamy

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  • Latent AI reposted this

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    3,091 followers

    The increasing need for edge AI in critical applications raises significant challenges, especially when it comes to handling sensitive data securely and at scale. Join Latent AI, ClearML and Carahsoft for a webinar on Wed, Nov 13 at 11am ET (8am PT) to discover how organizations can build and deploy AI on the edge by combining best-of-breed technologies. In this 45-minute discussion you'll learn: 🔸How to streamline your AI lifecycle with modular, flexible tools. 🔸How to scale model development and deployment with automation. 🔸How to optimize and encrypt models for various hardware targets. 🔸Real-world examples of DoD and IC applications using ClearML and Latent AI. Register now: https://lnkd.in/gZGmMWjf Jags Kandasamy | Moses Guttmann

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  • View organization page for Latent AI, graphic

    3,091 followers

    Looking for a runtime to take your AI to the edge? Learn more about Latent AI Runtime Engine. https://lnkd.in/es8b8y8A

    View profile for Andrew Green, graphic

    IT Research Analyst | Technical Content Writing | Better Language for Enterprise IT

    You can't talk about Edge without AI (anymore) So here's what you can use when it's 𝐓𝐢𝐦𝐞 to 𝐑𝐮𝐧 AI @Edge Runtimes are responsible to load the AI/ML models, execute the instructions represented by the program (perform inference), and compute the output. Running AI at Edge often means you have to operate in constrained environments, which requires: ➡️ Reduced model and binary size ➡️ Reduced power consumption ➡️ Self-contained, no dependency on cloud But you have benefits such as ✔️ Operate without connectivity ✔️ Quicker, no network latency ✔️ Fewer security and privacy concerns, data remains local So here are some Edge AI Runtimes you can look into 👇 Latent AI Runtime offers a secure, standardized runtime engine for Edge AI that supports NVIDIA Jetson Orin and Xavier, Android, Snapdragon, CUDA, ARM, and x86 running Linux The Linux Foundation IREE (Intermediate Representation Execution Environment) is an MLIR-based end-to-end compiler and runtime designed for CPUs, GPUs, and other accelerators, with scheduling and execution logic compiled together. The Apache Software Foundation's TVM runtime supports multiple programming languages for the compiler stack development and deployment. TensorFlow LiteRT (ex-TensorFlow Lite), is Google's runtime for on-device AI. It has ready-to-run LiteRT models, or can run TensorFlow, PyTorch, and JAX models to the TFLite format using the AI Edge conversion and optimization tools. Compatible with Android and iOS devices, embedded Linux, and microcontrollers. The PyTorch ExecuTorch runtime was designed to run on a wide variety of edge devices, from modern smartphone CPUs to resource-constrained microcontrollers and DSPs. It is small and portable enough to run directly in bare-metal embedded environments with no operating systems, dynamic memory, or threads. ONNX Runtime is a cross-platform machine-learning model accelerator, with a flexible interface to integrate hardware-specific libraries. ONNX Runtime can be used with models from PyTorch, Tensorflow/Keras, TFLite, scikit-learn, and other frameworks. Tell me in the comments how you run AI at the Edge 🏃♂️

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  • Latent AI reposted this

    View organization page for Altar.io, graphic

    6,500 followers

    Raising $22M to drive efficiency in AI isn’t easy. Just ask Jags Kandasamy, co-founder of Latent AI. A few years back, Jags walked into his first investor pitch with just a powerful vision - and walked out with the momentum to shape Latent AI into what it is today. Our CMO and Managing Partner, Rui, recently sat down with Jags to discuss his journey - from building an innovative AI startup to securing millions in funding. If you’re an entrepreneur navigating the complexities of building a tech startup, this story is a must-read. Jags shares the lessons, insights, and strategies that helped him overcome challenges that many founders face in their own journey. 👉 Dive into the story here: https://lnkd.in/dyK4hGMN

    Pioneering Efficiency in AI and Raising $22M in the Process [Founder Story]

    Pioneering Efficiency in AI and Raising $22M in the Process [Founder Story]

    altar.io

  • View organization page for Latent AI, graphic

    3,091 followers

    Visit Latent AI at Booth 809 on #DODIIS24 Day 2! See our solutions for deploying and updating AI capabilities directly in the field. #LEIP empowers warfighters with: ▪️ Rapid Retraining: Update AI models on-the-fly, regardless of expertise. ▪️ Enhanced Deployment: Simplify AI deployment anywhere, anytime.

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  • View organization page for Latent AI, graphic

    3,091 followers

    The increasing need for edge AI in critical applications raises significant challenges, especially when it comes to handling sensitive data securely and at scale. Join Latent AI, ClearML and Carahsoft for a webinar on Wed, Nov 13 at 11am ET (8am PT) to discover how organizations can build and deploy AI on the edge by combining best-of-breed technologies. In this 45-minute discussion you'll learn: 🔸How to streamline your AI lifecycle with modular, flexible tools. 🔸How to scale model development and deployment with automation. 🔸How to optimize and encrypt models for various hardware targets. 🔸Real-world examples of DoD and IC applications using ClearML and Latent AI. Register now: https://lnkd.in/gZGmMWjf Jags Kandasamy | Moses Guttmann

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  • View organization page for Latent AI, graphic

    3,091 followers

    Watch the recording of our recent panel discussion to learn about the latest advancements in edge AI for JADC2 and how it can deliver tangible battlefield advantages. For an in-depth recap of the discussion, read our blog post here: https://ow.ly/ULjA50TsZSn

    View organization page for Booz Allen Hamilton, graphic

    710,031 followers

    #BoozAllen and Latent AI recently co-sponsored an expert panel on "Advancing Tactical Edge AI for JADC2" at the Defense Strategies Institute AI for Defense Summit. Watch the recording to hear from Booz Allen VP of AI Engineering Eric Syphard and other industry experts as they discuss the future of #AI at the tactical edge, strategies for scaling and operationalizing edge AI/ML solutions across the Joint All-Domain Command and Control (JADC2) enterprise, from development, testing, tactical deployment to monitoring and sustainment. https://lnkd.in/epXYtH2h

    AI for Defense

    AI for Defense

    boozallen.com

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