Alternatives to ZETIC.ai

Compare ZETIC.ai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ZETIC.ai in 2026. Compare features, ratings, user reviews, pricing, and more from ZETIC.ai competitors and alternatives in order to make an informed decision for your business.

  • 1
    Google Cloud Speech-to-Text
    Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.
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  • 2
    Oz Liveness

    Oz Liveness

    Oz Forensics

    Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .
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    Starting Price: $2,625/year/12,500 transaction
  • 3
    Scandy Pro
    Scandy Pro for iOS allows users to capture full-color 3D scans. Compatible with iPhone X, XS, XS Max, XR, 11, 11 Pro. and the new iPad Pro (2018 editions or later). Users can save scans and share files as .ply, .stl, or .obj formats. All rendering is done on-device and there is no need to register or store files in the cloud. Every user is provided with one free mesh save every day. Unlimited saves provided with the purchase of a subscription.
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    TensorFlow

    TensorFlow

    TensorFlow

    An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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    LiteRT

    LiteRT

    Google

    LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.
    Starting Price: Free
  • 6
    CloudSight API

    CloudSight API

    CloudSight

    Image recognition technology that provides true understanding of your digital media. With our on-device computer vision model, users can expect an average response time of less than 250ms. This is more than 4x faster than using our API and does not require an internet connection. Users can recognize objects in a space by simply scanning their phone around a room, eliminating the need to take individual pictures. This feature is unique to our on-device model. By removing the need for data to leave the end-user device, privacy concerns are virtually eliminated. While our API takes every precaution possible to protect your privacy and data, our on-device model raises the bar on security substantially. Send CloudSight your visual content, and our API will generate a natural language description in response. Filter and categorize images, monitor for inappropriate content, and automatically assign labels for all of your digital media.
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    Voicekey

    Voicekey

    Voicekey

    Voicekey is a patented voice biometrics product using stateless Neural Network (NN) Technology/AI to help solve non-face-to-face identity authentication and identification security challenges. Voicekey is at’ heart’ a computational NN/AI engine that is consumed on-device or server based as part of an identity security application. Voicekey processes involved in enrolment and verification are consumed and accessed on-device or server based using an SDK depending on the platform (Java, iOS, Android, Windows mobile and Windows ) or RESTful API. Voicekey is a user configurable software ‘lock’ that can only be opened by the voice of a registered user.( The lock comes from the NN/AI technology).
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    Ai2 OLMoE

    Ai2 OLMoE

    The Allen Institute for Artificial Intelligence

    Ai2 OLMoE is a fully open source mixture-of-experts language model that is capable of running completely on-device, allowing you to try our model privately and securely. Our app is intended to help researchers better explore how to make on-device intelligence better and to enable developers to quickly prototype new AI experiences, all with no cloud connectivity required. OLMoE is a highly efficient mixture-of-experts version of the Ai2 OLMo family of models. Experience which real-world tasks state-of-the-art local models are capable of. Research how to improve small AI models. Test your own models locally using our open-source codebase. Integrate OLMoE into other iOS applications. The Ai2 OLMoE app provides privacy and security by operating completely on-device. Easily share the output of your conversations with friends or colleagues. The OLMoE model and the application code are fully open source.
    Starting Price: Free
  • 9
    Diagnosis Pad

    Diagnosis Pad

    Diagnosis Pad

    Diagnosis Pad uses private on-device AI to generate diagnoses, guidance, transcriptions and clinical notes in real-time. Privacy All AI processing happens offline and on your device. No data is sent to online servers for maximum privacy. How to Use Simply tap Start Session to begin transcribing your session and processing the on-device intelligence. Diagnosis As the session progresses, the top three diagnoses will be generated. You can explore these in detail to understand why it is being suggested for your specific context. Recommendations The top three recommendations will also be generated, and can be expanded for more detail as well. Notes A summary of the transcript is generated at the end of the session. Settings You can toggle having the diagnosis, recommendations and notes generated live in-session or when the session has completed.
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    Aiko

    Aiko

    Aiko

    High-quality on-device transcription. Easily convert speech to text from meetings, lectures, and more. The transcription is powered by OpenAI's Whisper running locally on your device. The audio never leaves your device.
    Starting Price: Free
  • 11
    LFM2.5

    LFM2.5

    Liquid AI

    Liquid AI’s LFM2.5 is the next generation of on-device AI foundation models designed to deliver high-performance, efficient AI inference on edge devices such as phones, laptops, vehicles, IoT systems, and embedded hardware without relying on cloud compute. It extends the previous LFM2 architecture by significantly increasing the pretraining scale and reinforcement learning stages, yielding a family of hybrid models around 1.2 billion parameters that balance instruction following, reasoning, and multimodal capabilities for real-world agentic use cases. The LFM2.5 family includes Base (for fine-tuning and customization), Instruct (general-purpose instruction-tuned), Japanese-optimized, Vision-Language, and Audio-Language variants, all optimized for fast, on-device inference under tight memory constraints and available as open-weight models deployable via frameworks like llama.cpp, MLX, vLLM, and ONNX.
    Starting Price: Free
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    Smart Engines

    Smart Engines

    Smart Engines

    Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 1834+ types in total. Provides eco-friendly, fast and precise scanning SDK for a smartphone, web, desktop or server, works fully autonomously. Extracts data from photos and scans, as well as in the video stream from a smartphone or web camera, is robust to capturing conditions. No data transfer — ID scanning is performed on-device and on-premise. Automatic scanning of machine-readable zones (MRZ); all types of credit cards: embossed, indent-printed, and flat-printed; barcodes: PDF417, QR code, AZTEC, DataMatrix, and others on the fly by a smartphone’s camera. Provides high-quality MRZ, barcode, and credit card scanning in mobile applications on-device regardless of lighting conditions. Supports card scanning of 21 payment systems.
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    Ministral 3B

    Ministral 3B

    Mistral AI

    Mistral AI introduced two state-of-the-art models for on-device computing and edge use cases, named "les Ministraux": Ministral 3B and Ministral 8B. These models set a new frontier in knowledge, commonsense reasoning, function-calling, and efficiency in the sub-10B category. They can be used or tuned for various applications, from orchestrating agentic workflows to creating specialist task workers. Both models support up to 128k context length (currently 32k on vLLM), and Ministral 8B features a special interleaved sliding-window attention pattern for faster and memory-efficient inference. These models were built to provide a compute-efficient and low-latency solution for scenarios such as on-device translation, internet-less smart assistants, local analytics, and autonomous robotics. Used in conjunction with larger language models like Mistral Large, les Ministraux also serve as efficient intermediaries for function-calling in multi-step agentic workflows.
    Starting Price: Free
  • 14
    BlackBerry Optics
    Our cloud-native BlackBerry® Optics provide visibility, on-device threat detection and remediation across your organization. In milliseconds. And our EDR approach effectively and efficiently hunts threats while eliminating response latency. It’s the difference between a minor security event—and one that’s widespread and uncontrolled. Identify security threats and trigger automated responses on-device with AI-driven security and context-driven threat detection rules to reduce detection and remediation time. Gain visibility with consolidated, AI-driven security and an enterprise-wide view of all endpoint activity, empowering detection and response capabilities for online and offline devices. Enable threat hunting and root cause analysis experiences with intuitive query language and up to 365 days of data retention options.
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    LFM2

    LFM2

    Liquid AI

    LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations.
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    Foundry Local

    Foundry Local

    Microsoft

    Foundry Local is a local version of Azure AI Foundry that enables local execution of large language models (LLMs) directly on your Windows device. This on-device AI inference solution provides privacy, customization, and cost benefits compared to cloud-based alternatives. Best of all, it fits into your existing workflows and applications with an easy-to-use CLI and REST API.
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    Zighra

    Zighra

    Zighra

    Seamlessly onboard and continuously protect users and enable passwordless access. Our real-time AI models are built to learn 10X faster than traditional algorithms. World’s first FIDO certified behavioral authentication technology that runs entirely on-device. Each of your customer is a unique human being. You know that, and Zighra knows how to prove that. Zighra’s patented technology delivers real-time behavioral intelligence and powerful security controls to continuously ascertain the identity of the customer, without the slightest disruption to user experience. With Zighra, you know exactly when you are interacting with your customer and when you are not, down to the very second. Flexible delivery options of on premise, cloud, or on-device allows choice. Users are asked to perform a specific action as an authenticator to determine whether the user or a bot is trying to use the device, such as holding the phone and swiping across the screen.
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    Ministral 8B

    Ministral 8B

    Mistral AI

    Mistral AI has introduced two advanced models for on-device computing and edge applications, named "les Ministraux": Ministral 3B and Ministral 8B. These models excel in knowledge, commonsense reasoning, function-calling, and efficiency within the sub-10B parameter range. They support up to 128k context length and are designed for various applications, including on-device translation, offline smart assistants, local analytics, and autonomous robotics. Ministral 8B features an interleaved sliding-window attention pattern for faster and more memory-efficient inference. Both models can function as intermediaries in multi-step agentic workflows, handling tasks like input parsing, task routing, and API calls based on user intent with low latency and cost. Benchmark evaluations indicate that les Ministraux consistently outperforms comparable models across multiple tasks. As of October 16, 2024, both models are available, with Ministral 8B priced at $0.1 per million tokens.
    Starting Price: Free
  • 19
    QuickWhisper

    QuickWhisper

    IWT Pty Ltd

    QuickWhisper is a macOS application for transcription, dictation, and AI summarization using OpenAI's Whisper model. It runs entirely on-device with no cloud dependency required. The application transcribes audio from local files, YouTube videos, online meetings, and system audio. QuickWhisper can record meetings with calendar integration while keeping the recording interface hidden during screen sharing. System-wide dictation works across all macOS applications, replacing keyboard input with voice. All transcription runs on your Mac. AI summarization is available through cloud providers (OpenAI, Anthropic, Google, xAI, Mistral, Groq) or on-device via Ollama and LM Studio. QuickWhisper also includes batch transcription, Watch Folders for automatic background transcription, speaker diarization, Apple Shortcuts integration, and webhooks for third-party service integration.
    Starting Price: $39 one-time payment
  • 20
    ABBYY Mobile Capture
    Mobile document capture and on-device text recognition. ABBYY Mobile Capture is an SDK that offers automatic data capture within your mobile app, providing real-time recognition and capturing photos of documents for on-device or back-end processing. A premium mobile onboarding process offers your customers a frictionless way to capture and provide self-servicing trailing documents to increase retention rates. Meet your customers’ expectations by minimizing manual interactions within your mobile apps and maximizing the ease-of-use for the end-user. Easy-to-integrate, pre-built, comprehensive mobile capture solution for your mobile application that saves development time and delivers best-quality results. Document processing and data capture with exceptional accuracy and ongoing learning continuously improves straight-through-processing rates. Automatically captures the best-quality image suitable for further back-end processing.
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    Apollo

    Apollo

    Liquid AI

    Apollo is a lightweight mobile application designed for fully on-device, cloud-free AI interactions, enabling users to engage with advanced language and vision models securely, privately, and with low latency. It supports a library of small foundation models from the company’s LEAP platform, allowing users to draft messages, emails, chat with a private AI assistant, craft digital characters, or use image-to-text capabilities, all without an internet connection and with no data leaving the device. Apollo is optimized for real-time responsiveness and offline operation, ensuring that inference happens entirely locally, with no API calls, servers, or user-data logging involved. It serves as both a personal AI playground and a testing bed for developers using LEAP models, letting one “vibe-check” how a model performs on their own mobile hardware before broader deployment.
    Starting Price: Free
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    Private LLM

    Private LLM

    Private LLM

    Private LLM is a local AI chatbot for iOS and macOS that works offline, keeping your information completely on-device, safe, and private. It doesn't need the internet to work, so your data never leaves your device. It stays just with you. With no subscription fees, you pay once and use it on all your Apple devices. It's designed for everyone, with easy-to-use features for generating text, helping with language, and a whole lot more. Private LLM uses the latest AI models quantized with state-of-the-art quantization techniques to provide a high-quality on-device AI experience without compromising your privacy. It's a smart, secure way to get creative and productive, anytime and anywhere. Private LLM opens the door to the vast possibilities of AI with support for an extensive selection of open-source LLM models, including the Llama 3, Google Gemma, Microsoft Phi-2, Mixtral 8x7B family and many more on both your iPhones, iPads and Macs.
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    Mirai

    Mirai

    Mirai

    Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.
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    Picovoice

    Picovoice

    Picovoice

    Picovoice is the first and only ubiquitous on-device voice AI platform. Picovoice offers speech-to-text, voice search, wake word, Speech-to-Intent (intent detection) and voice activity detection engines. Its stack can run on anything from embedded devices to web browsers, providing an immersive experience not achievable by any Big Tech.
    Starting Price: Free
  • 25
    TalkTastic

    TalkTastic

    TalkTastic

    Seamlessly integrate crazy accurate dictation across all your macOS applications. Magically understands your context and writes in your app, instantly. More accurate than ChatGPT & OpenAI Whisper. Combines on-device AI with multimodal LLMs to help you write what you mean. Only listen when you say so. Snapshots only on command. Change your settings anytime, anywhere. TalkTastic’s patent-pending technology interprets what you're saying based on what it sees on your computer screen. It combines the capabilities of Apple Dictation, on-device Whisper, ChatGPT, Claude, and Google Gemini into one powerful, easy-to-use package. When you trigger a new note inside another app, TalkTastic analyzes a snapshot of your chosen app using advanced multimodal AI. The LLM understands the tone, style, and substance of your conversation while accurately spelling people's names and easily-confused words.
    Starting Price: Free
  • 26
    AppNext

    AppNext

    Affle

    Appnext blends app recommendations as a service that integrates seamlessly with the users' daily mobile journey. Utilizing its proprietary 'Timeline' technology, Appnext predicts which apps the users are likely to use next. With 300 million daily active users, 20+ on-device daily interactions through strategic OEM partnerships and 60,000+ apps, Appnext is the leading independent app recommendation platform delivering over 4 billion app recommendations per day. Appnext is the largest app discovery platform, offering the only recommendation engine on the market, which encompasses both in-app and on-device discovery. Through its direct partnerships with top OEMs, operators and app developers, Appnext creates a new discovery experience in over 10,000 mobile touchpoints, utilizing its ‘Timeline’ technology that predicts the app users are likely to use next. Appnext’s recommendations are helping app marketers reach more engaged users and get their apps discovered, used and re-used.
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    Beeper

    Beeper

    Beeper

    Beeper unifies all your messaging apps—like WhatsApp, iMessage, Instagram, Telegram, Slack, and more—into one secure inbox. It lets you send, read, and organize conversations across multiple services and devices without switching apps. Messages sync seamlessly between Android, iPhone, Windows, macOS, and Linux, ensuring your chats are always up to date. Built with privacy in mind, Beeper supports on-device connections, so your data stays on your hardware and never passes through unnecessary servers. Power users can manage reminders, schedule messages, and streamline workflows for professional communication. With its simple interface and advanced features, Beeper makes chatting across platforms effortless and efficient.
    Starting Price: Free
  • 28
    Inbox AI

    Inbox AI

    Inbox AI

    Focus on what matters, manage email, and automate tasks with AI-powered workflows. Use the cloud or privacy-first on-device AI. Bring your own API keys or use free local on-device AI with Ollama. Remove friction from your daily workflows. Build intelligent workflows that automatically flag critical messages and filter out noise. Extract tasks and send them to your favorite apps like Notion, Obsidian, or Tana. Use incoming email messages as input. Extract tasks and filter noise. Select anything on your screen as input and convert it to a task or memo. Use audio as input and build commands like "ask ChatGPT" or "add a reminder to call mom". Trigger actions from Raycast, shortcuts, or any app that supports callback URLs. Use online AI for more power or keep things on your Mac. Use AI to summarize, analyze, or extract, and give it powerful tools. Guide your AI by asking it multiple-choice questions.
    Starting Price: $34.99 per month
  • 29
    NetsPresso

    NetsPresso

    Nota AI

    NetsPresso is a hardware-aware AI model optimization platform. NetsPresso powers on-device AI across industries, and it's the ultimate platform for hardware-aware AI model development. Lightweight models of LLaMA and Vicuna enable efficient text generation. BK-SDM is a lightweight version of Stable Diffusion models. VLMs combine visual data with natural language understanding. NetsPresso resolves Cloud and server-based AI solutions-related issues, such as limited network, excessive cost, and privacy breaches. NetsPresso is an automatic model compression platform that downsizes computer vision models to a size small enough to be deployed independently on the smaller edge and low-specification devices. Optimization of target models being key, the platform combines a variety of compression methods which enables it to downsize AI models without causing performance degradation.
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    ML Kit

    ML Kit

    Google

    ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Make your iOS and Android apps more engaging, personalized, and helpful with solutions that are optimized to run on device. ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device. Take advantage of the machine learning technologies that power Google's own experiences on mobile. We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps. Recognizes handwritten text and handdrawn shapes on a digital surface, such as a touch screen. Recognizes 300+ languages, emojis and basic shapes.
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    Skymel

    Skymel

    Skymel

    Skymel is a cloud-native AI orchestration platform built around its real-time Orchestrator Agent (OA) and companion AI assistant, ARIA. The Orchestrator Agent enables both fully automatic runtime agent creation and developer-controlled dynamic agents that seamlessly integrate across any device, cloud, or neural network architecture. It leverages NeuroSplit’s distributed-compute technology to optimize inference, automatically routing each request through the ideal model and execution environment (on-device, cloud, or hybrid), unifying error handling, and reducing API costs by 40–95% while improving performance. On top of OA, Skymel ARIA delivers a single, synthesized answer to any query by orchestrating ChatGPT, Claude, Gemini, and other leading AI models in real-time, eliminating manual prompt chaining and subscription juggling.
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    SmolLM2

    SmolLM2

    Hugging Face

    SmolLM2 is a collection of state-of-the-art, compact language models developed for on-device applications. The models in this collection range from 1.7B parameters to smaller 360M and 135M versions, designed to perform efficiently even on less powerful hardware. These models excel in text generation tasks and are optimized for real-time, low-latency applications, providing high-quality results across various use cases, including content creation, coding assistance, and natural language processing. SmolLM2's flexibility makes it a suitable choice for developers looking to integrate powerful AI into mobile devices, edge computing, and other resource-constrained environments.
    Starting Price: Free
  • 33
    Drawww

    Drawww

    Drawww

    Drawww offers you a significantly better drawing experience, powered by AI. Experience lightning-fast AI results, driven by Apple's most advanced silicon. On-device processing ensures your data always stays private. Each layer is a realm of possibility, ready to unveil your digital masterpiece. Precision instruments, brush, pencil, eraser and much more, customizable size and transparency. Drawww had all AI parameters in mind and picks up right where you left off. Our drawings bring together the worlds of bitmap and vector, object and pixel.
    Starting Price: Free
  • 34
    fullmoon

    fullmoon

    fullmoon

    Fullmoon is a free, open source application that enables users to interact with large language models directly on their devices, ensuring privacy and offline accessibility. Optimized for Apple silicon, it operates seamlessly across iOS, iPadOS, macOS, and visionOS platforms. Users can personalize the app by adjusting themes, fonts, and system prompts, and it integrates with Apple's Shortcuts for enhanced functionality. Fullmoon supports models like Llama-3.2-1B-Instruct-4bit and Llama-3.2-3B-Instruct-4bit, facilitating efficient on-device AI interactions without the need for an internet connection.
    Starting Price: Free
  • 35
    Hecttor

    Hecttor

    Hecttor

    Built for contact center agents, Hecttor transforms messy, emotional, and fast-paced customer speech into clear, understandable conversations — instantly and without disrupting workflows. Core Capabilities: - Real-Time Speech Speed Adjustment - Voice Boost and Audio Enhancement - Natural and Transparent Output - On-Device, Low-Latency Processing: All operations happen directly on the agent’s machine — ensuring real-time performance, zero cloud dependency, and maximum security. - Seamless Integration: Works with existing telephony and CRM platforms. No new hardware. No changes to agent workflows.
    Starting Price: $10/month
  • 36
    Expanso

    Expanso

    Expanso

    Expanso runs jobs exactly where your data resides, utilizing local computing, and minimizing data throughput. Using a peer-to-peer network of nodes, we reduce your dependence on latency and enhance your data governance capabilities. Your data flows can be adjusted at a very granular level. Expanso's container orchestration utilizes a peer-to-peer network, enabling distributed application deployments. By leveraging this network, your deployments ensure redundancy and fault tolerance. The distributed approach minimizes the risk of single points of failure, leading to a more reliable deployment with increased reliability. Expanso enables on-device computing, leading to significant cost savings. Running computations directly on edge devices can significantly reduce data transfer and cloud infrastructure expenses. Additionally, this reduces the instances where data leaves your premises, thus minimizing the number of regulatory events.
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    Pieces

    Pieces

    Pieces for Developers

    Pieces™ is an on-device AI coding assistant that boosts developer productivity by helping you solve complex development tasks through a contextual understanding of your entire workflow. Leverage real-time context from all of your tools to ask questions about your daily interactions, capture important information, explain concepts or entire repositories, and generate ready-to-use code. Pieces works right in-flow, seamlessly integrating with your favorite tools to streamline, understand, and elevate your coding processes.
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    LEAP

    LEAP

    Liquid AI

    The LEAP Edge AI Platform offers a full-stack on-device AI toolchain that enables developers to build edge AI applications, from model selection through inference, entirely on device. It includes a best-model search engine to find the most appropriate model for a given task and device constraint, a curated library of pre-trained model bundles ready for download, and fine-tuning tools (such as GPU-optimized scripts) for customizing models like LFM2 to specific use cases. It supports vision-enabled capabilities across iOS, Android, and laptop devices, and includes function-calling so AI models can interact with external systems via structured outputs. For deployment, LEAP provides an Edge SDK that lets developers load and query models locally, just like a cloud API, but entirely offline, and a model bundling service to package any supported model or checkpoint into a bundle optimized for edge deployment.
    Starting Price: Free
  • 39
    CloudCut
    CloudCut by Very Technology empowers your business by shifting compute-heavy tasks to the edge, thereby slashing cloud costs and improving responsiveness. It enables you to accelerate your applications, protect your data, and cut cloud costs, right from where the data is created. It offers the ability to reduce cloud spending by up to 94%, improving speed and responsiveness even in offline or low-bandwidth environments, and enhancing data privacy by keeping tasks on-device to meet security compliance requirements. Key benefits include reducing infrastructure dependence by scaling via edge processing, future-proofing for agent-based AI, lowering environmental impact by reducing data transfer and cloud usage, and supporting critical operations without connectivity thanks to local device-level compute. Ensure critical operations keep running, even during network outages, thanks to local, device-level compute.
  • 40
    Stanhope AI

    Stanhope AI

    Stanhope AI

    Active Inference is a novel framework for agentic AI based on world models, emerging from over 30 years of research in computational neuroscience. From this paradigm, we offer an AI built for power and computational efficiency, designed to live on-device and on the edge. Integrating with traditional computer vision stacks our intelligent decision-making systems provide an explainable output that allows organizations to build accountability into their AI tools and products. We are taking active inference from neuroscience into AI as the foundation for software that will allow robots and embodied platforms to make autonomous decisions like the human brain.
  • 41
    Note67

    Note67

    Note67

    Note67 is a privacy-centric meeting assistant designed for professionals who demand total control over their data. Unlike traditional transcription tools that rely on cloud processing, Note67 is an open-source, local-first application for macOS that captures audio, transcribes speech, and generates intelligent summaries entirely on your device. No audio or text ever leaves your machine, ensuring zero data leakage. Built with performance and security in mind, the application leverages the power of Rust and Tauri to deliver a lightweight, native experience. It integrates seamless local AI capabilities, utilizing Whisper for high-accuracy speech-to-text and Ollama for generating insightful meeting summaries using local Large Language Models (LLMs). Key Features: 100% Local Processing: Powered by on-device Whisper models, ensuring your audio and transcripts remain completely private.
  • 42
    Pradeo

    Pradeo

    Pradeo

    Automate on-device mobile threat protection and track device's security compliance. Pradeo Security is a mobile security application that prevents corporate data theft / leakage and fraud. It is available for Android, Android Enterprise, iOS and Chromebooks. The Pradeo Security mobile application delivers an advanced detection of known and 0-day threats coming from mobile apps, network connections and OS configurations. When it detects a threat, it remediates it automatically according to your organization’s security policy. - Ready-to-use mobile security application - Fast deployment - 0-touch configuration - Automatable - Data protection - Multiprofile mode dedicated to Android Enterprise
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    iCrypto

    iCrypto

    iCrypto

    Designed to be used with our entire suite of iCrypto cloud-based services, the iCrypto SDK can integrate into existing Enterprise Apps or when deployed as iCrypto App be used as a standalone one-step password-less verification solution. By employing the latest cryptography technologies in combination with device-level security and management, the iCrypto SDK is the ultimate software token that can be used as a biometric ID on the go in a wide variety of industries. iCrypto SDK provides authenticator PKI signatures, a range of cryptographic protocols such as TOTP/HOTP/OCRA/MTP, push-based authentication, on-device as well as network-based biometrics such as fingerprint, iris scan, face/voice/eyeball recognition, third-party authorization, secure storage, context collection and host of security features.
    Starting Price: Free
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    LaunchX

    LaunchX

    Nota AI

    Optimized AI is ready to launch on-device and allows you to deploy your AI models on actual devices. With LaunchX automation, you can simplify conversion and effortlessly measure performance on target devices. Customize the AI platform to meet your hardware specifications. Enable seamless AI model deployment with a tailored software stack. Nota’s AI technology empowers intelligent transportation systems, facial recognition, and security and surveillance. The company’s solutions include a driver monitoring system, driver authentication, and smart access control system. Nota‘s current projects cover a wide range of industries including construction, mobility, security, smart home, and healthcare. Nota’s partnership with top-tier global market leaders including Nvidia, Intel, and ARM has helped accelerate its entry into the global market.
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    Gemma 3n

    Gemma 3n

    Google DeepMind

    Gemma 3n is our state-of-the-art open multimodal model, engineered for on-device performance and efficiency. Made for responsive, low-footprint local inference, Gemma 3n empowers a new wave of intelligent, on-the-go applications. It analyzes and responds to combined images and text, with video and audio coming soon. Build intelligent, interactive features that put user privacy first and work reliably offline. Mobile-first architecture, with a significantly reduced memory footprint. Co-designed by Google's mobile hardware teams and industry leaders. 4B active memory footprint with the ability to create submodels for quality-latency tradeoffs. Gemma 3n is our first open model built on this groundbreaking, shared architecture, allowing developers to begin experimenting with this technology today in an early preview.
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    Mocana

    Mocana

    Mocana

    Mocana provides cyber protection for IoT, operational technology (OT) and critical infrastructure. Our proven on-device cybersecurity software and lifecycle management platform enable manufacturers and industrial companies to build self-defending systems that are tamper-resistant. Mocana’s tightly integrated solutions help companies to minimize the risk of a cyber breach, comply with industry standards, and protect intellectual property by ensuring that devices and processes are trusted end-to-end, from device manufacturing to deployment. Unlike IT network security approaches, Mocana enables devices to protect themselves and prevent malware from being installed. Founded in 2002, Mocana protects more than 100 million commercial, government and military/defense devices and systems, and is trusted by the world’s largest aerospace, industrial, energy, automotive, healthcare, and telecommunications companies.
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    Genspark AI Browser
    Genspark AI Browser is a desktop browser with built-in AI features that run on the user’s device; no internet is needed for core model responses. It includes agent tools that assist during web browsing, comparing products, analyzing reviews, finding better deals, and helping with informed decision-making on any site. There is an autopilot mode that can automatically browse feeds, gather information, access premium databases, and perform complex web tasks without user intervention. The browser includes ad-blocking so that banners, pop-ups, and intrusive ads are blocked automatically to provide a cleaner, faster browsing experience. There’s also an MCP store, which lets users connect their browser to over 700 tools to enable workflow automation. The emphasis is on privacy (on-device AI), speed, and reducing friction in browsing, shopping, research, or general web tasks.
    Starting Price: Free
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    Google AI Edge Gallery
    Google AI Edge Gallery is an experimental, open source Android app that demonstrates on-device machine learning and generative AI use cases, letting users download and run models locally (so they work offline once installed). It offers several features including AI Chat (multi-turn conversation), Ask Image (upload or use images to ask questions, identify objects, get descriptions), Audio Scribe (transcribe or translate recorded/uploaded audio), Prompt Lab (for single-turn tasks such as summarization, rewriting, code generation), and performance insights (metrics like latency, decode speed, etc.). Users can switch between different compatible models (including Gemma 3n and models from Hugging Face), bring their own LiteRT models, and explore model cards and source code for transparency. The app aims to protect privacy by doing all processing on the device, no internet connection needed for core operations after models are loaded, reducing latency, and enhancing data security.
    Starting Price: Free
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    RECOGNITO

    RECOGNITO

    RECOGNITO

    RECOGNITO is a global leader and trusted provider of Face Biometrics and ID Document Verification solutions that are fully optimized for usability, security, and privacy. Recognito SDK is the world's leading face-based identity verification solution with NIST FRVT Top Algorithm. - Product • Face Recognition SDK: 🏆 NIST FRVT Top 1 Face Recognition Algorithm • Face Liveness Detection SDK: DeepFake Detectable, 2D/3D Liveness Detection Algorithm • ID Document Verification SDK: ID, Passport Document OCR and MRZ, Barcode Analysis - Features • On-premise, Fully offline and On-device SDK • Compact Library-type SDK for easy on-premise installation. • Simple and comprehensive API.
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    AI EdgeLabs

    AI EdgeLabs

    AI EdgeLabs

    AI EdgeLabs is an AI-powered Edge embedded cybersecurity solution for distributed Edge/IoT environments. It is a software-defined tool that identifies and responds to all types of threats in real-time ensuring seamless business operations. What sets AI EdgeLabs apart: - The first cybersecurity solution to employ on-device AI in uncovering hidden network threats and zero-day attacks that might disrupt critical operations. - The first cybersecurity solution designed to be deployed directly on edge devices, recognized as the most vulnerable components of any edge infrastructure. - It is a lightweight solution that can be deployed on nearly any edge device, consuming as little as 4% CPU, having no side effects on the performance of neighboring applications. - It is a containerized solution that can be easily deployed on thousands of edge devices remotely within hours. -It identifies and responds to threats even in scenarios with no connectivity and limited bandwidth.