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When On-Device AI Wins
For the moments when privacy, cost control, or offline reliability are non-negotiable.
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Absolute PrivacyYour data stays where it belongs—on your device. Perfect for confidential, regulated, or sensitive workloads.
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Predictable CostNo per-token surprises. Pay once per device, and run as much as you want—budget with confidence.
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Reliable OfflineWorks offline, anywhere. On airplanes, in secure facilities, or simply when you want to disconnect.
PRODUCTS
Make On-Device AI Frictionless
Discover, experience, and ship AI locally.
SDKNexa SDK –
Ship Any Model on Any Device
Production-ready inference SDK that takes your AI from laptop to embedded device in minutes.
iconDeploy any AI model on any device
iconAccelerate on NPU and GPU
iconCompress models for 10x memory reduction
iconRun AI cross-platform with a few lines of code
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SDKNexa SDK –
Ship Any Model on Any Device
Production-ready inference SDK that takes your AI from laptop to embedded device in minutes.
iconDeploy any AI model on any device
iconAccelerate on NPU and GPU
iconCompress models for 10x memory reduction
iconRun AI cross-platform with a few lines of code
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APPHyperlink –
Private, Offline AI Agent for Files
Local AI agent that instantly searches your local folders and provide trusted insights that saves you 500 hrs/year
iconAuto-sync changes in local folders without uploads
iconTrust every AI answer with in-text citations and source view
iconSet up effortlessly and interact naturally with AI
iconSearch anything - OCR from PDFs, images, and scanned docs
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APPHyperlink –
Private, Offline AI Agent for Files
Local AI agent that instantly searches your local folders and provide trusted insights that saves you 500 hrs/year
iconAuto-sync changes in local folders without uploads
iconTrust every AI answer with in-text citations and source view
iconSet up effortlessly and interact naturally with AI
iconSearch anything - OCR from PDFs, images, and scanned docs
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PROPRIETARY AI INFRA
NexaML Engine
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NPU AccelerationAchieve SOTA performance on Apple, Qualcomm, and Intel NPUs.
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Any ModelSupport running the latest AI models locally, even those others can’t.
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Any DeviceShip to PC, automotive, mobile, IoT, and robotics hardware.
Our Publications
Discover the process behind the training of our cutting-edge on-device AI models, developed entirely from the ground up.
2 Apr 2024Octopus v2: On-device language model for super agent
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16 Dec 2024OmniVLM: A Token-Compressed,Sub-Billion-Parameter Vision-Language Model for Efficient On-Device Inference
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26 Jun 2024Octo-planner: On-device Language Model forPlanner-Action Agents
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26 Aug 2024On-Device Language Models: A Comprehensive Review
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28 Aug 2024Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models
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30 Apr 2024Octopus v4: Graph of language models
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17 Apr 2024Octopus v3: Technical Report for On-deviceSub-billion Multimodal AI Agent
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2 Apr 2024Octopus: On-device language model for function calling of software APIs
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8 publications in total
ACKNOWLEDGEMENT
Featured in
BLOGS
Latest in Nexa AI
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August 20OmniNeural-4B: World’s First NPU-Aware Multimodal AI Model
ModelResearch
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February 18Nexa Quantized DeepSeek R1 Distill Model With Full Quality Recovery
ModelDeveloper
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January 31On-Device Gen AI Multimodal Benchmarks Across Devices
The future of AI is personal, private, and on every device
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