Alternatives to Decide AI

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

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    OORT DataHub

    OORT DataHub

    OORT DataHub

    Data Collection and Labeling for AI Innovation. Transform your AI development with our decentralized platform that connects you to worldwide data contributors. We combine global crowdsourcing with blockchain verification to deliver diverse, traceable datasets. Global Network: Ensure AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity. Distributed and Transparent: Every piece of data is timestamped for provenance stored securely stored in the OORT cloud , and verified for integrity, creating a trustless ecosystem. Ethical and Responsible AI Development: Ensure contributors retain autonomy with data ownership while making their data available for AI innovation in a transparent, fair, and secure environment Quality Assured: Human verification ensures data meets rigorous standards Access diverse data at scale. Verify data integrity. Get human-validated datasets for AI. Reduce costs while maintaining quality. Scale globally.
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    PlatON

    PlatON

    PlatON

    Combining blockchain and privacy-preserving computation technologies, PlatON is building a decentralized and collaborative AI network and global brain to drive the democratization of AI for safe artificial general intelligence. PlatON, initiated and driven by the LatticeX Foundation, is a next-generation Internet infrastructure protocol based on the fundamental properties of blockchain and supported by the privacy-preserving computation network. “Computing interoperability” is its core feature. By building a computing system assembled by verifiable computation, secure multi-party computation, zero-knowledge proof, homomorphic encryption and other cryptographic algorithms and blockchain technology, PlatON provides a public infrastructure in open source architecture for global artificial intelligence, distributed application developers, data providers and various organizations, communities and individuals with computing needs.
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    Findora

    Findora

    Findora

    Deploy financial infrastructures with privacy-preserving transparency. Findora enables assets of any nature - dollar, bitcoin, equity, debt and derivatives. Its mission is to address the challenges necessary to support this broad class of assets and diverse financial use cases, providing confidentiality while retaining the transparency of other blockchains. Findora uses zero-knowledge proofs and secure multi-party computation to support many privacy-preserving features. Specialized zero-knowledge proofs allow Findora to be publicly audited, while data remains confidential. Findora features a high-throughput ledger design, and reduces storage requirements through cryptographic accumulators. Findora breaks open data silos for easy interoperability between the main- and side-ledgers. Findora provides you with the tools, documentation, and support to help you build your applications. Develop privacy-preserving applications on the Findora testnet today.
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    Flower

    Flower

    Flower

    Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.
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    Twine AI

    Twine AI

    Twine.net

    Twine AI offers tailored speech, image, and video data collection and annotation services, including off‑the‑shelf and custom datasets, for training and fine‑tuning AI/ML models. It offers audio (voice recordings, transcription across 163+ languages and dialects), image and video (biometrics, object/scene detection, drone/satellite feeds), text, and synthetic data. Leveraging a vetted global crowd of 400,000–500,000 contributors, Twine ensures ethical, consent‑based collection and bias reduction with ISO 27001-level security and GDPR compliance. Projects are managed end‑to‑end through technical scoping, proofs of concept, and full delivery supported by dedicated project managers, version control, QA workflows, and secure payments across 190+ countries. Its service includes humans‑in‑the‑loop annotation, RLHF techniques, dataset versioning, audit trails, and full dataset management, enabling scalable, context‑rich training data for advanced computer vision.
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    Hyta

    Hyta

    Hyta

    Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes.
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    Sahara AI

    Sahara AI

    Sahara AI

    Build Sahara knowledge agents as custom on-premise AI solutions that save costs, drive growth, and enable new business opportunities. Elevate productivity through workflow automation, predictive analytics, personalized experiences, resource optimization, and supply chain enhancement. Participate in Sahara data, a trustless, permissionless, and privacy-preserving platform for high-value datasets and data services to train AI. The business extends far beyond conversational capabilities, autonomously analyzing both external and internal proprietary data to offer reliable decision-making tailored to specific needs. The platform, decentralized or on-premise, offers an intelligent AI-centered, human-in-the-loop, and privacy-preserving approach to deliver high-value data for your AI.
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    DERO

    DERO

    DERO

    DERO is a general-purpose, private, and scalable decentralized application platform that allows developers to deploy powerful and unstoppable applications, while users retain total control over their assets with complete privacy. Account balances and data are never decrypted by the blockchain. Only account owners can decrypt and access their data. Welcome to a new data privacy paradigm. DERO has been developed from scratch in Golang and is being actively developed by the original developers. It is not a fork of any other coin. DERO is a homomorphically encrypted protocol that can serve individuals and businesses worldwide, with fast and anonymous transactions, smart contracts, and service models. The DERO Project has created a platform for developers to deploy secure, open, scalable, and privacy-preserving decentralized applications. DERO is unique because we value security and privacy above all else.
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    CompactifAI

    CompactifAI

    Multiverse Computing

    CompactifAI from Multiverse Computing is an AI model compression platform designed to make advanced AI systems like large language models (LLMs) faster, cheaper, more energy efficient, and portable by drastically reducing model size without significantly sacrificing performance. Using advanced quantum-inspired techniques such as tensor networks to “compress” foundational AI models, CompactifAI cuts memory and storage requirements so models can run with lower computational overhead and be deployed anywhere, from cloud and on-premises to edge and mobile devices, via a managed API or private deployment. It accelerates inference, lowers energy and hardware costs, supports privacy-preserving local execution, and enables specialized, efficient AI models tailored to specific tasks, helping teams overcome hardware limits and sustainability challenges associated with traditional AI deployments.
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    Finema

    Finema

    Finema

    We provide a holistic solution to all your credential ownership and management. Not only applicable to a wide range of scenarios, it is secure, convenient and fully owned by you. You can check whether the information presented is a real human, real transcript, authentic brand-name bag, or malevolent fraudster from barely revealing any data, thanks to our cryptographic technique. Our platform provides secure, privacy-preserving and cost-effective — the way to help people manage their identity on the internet.
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    Dusk Network

    Dusk Network

    Dusk Network

    Dusk Network is a technology for securities. An open-source and secure blockchain (DLT) infrastructure that businesses use to tokenize financial instruments and automate costly processes. A distributed Financial Market Infrastructure (dFMI) should provide a clear and final settlement of transactions. Moreover, the settlement of transactions should be instant or near-instant (<15s). The popular proof-of-work consensus mechanism used by Bitcoin and Ethereum does not address these requirements. Therefore, we designed a more performant consensus called Succinct Attestation agreement that enables instant settlement of transactions within 15 seconds. Powered by zero-knowledge technology, organizations use the dusk networks to issue tokens that are governed by privacy-preserving smart contracts. Harnessing the power of DLT while respecting confidentiality agreements, and data protection legislation.
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    SponsorBlock

    SponsorBlock

    SponsorBlock

    Users submit when a sponsor happens from the extension, and the extension automatically skips sponsors it knows about using a privacy-preserving query system. It also supports skipping other categories, such as intros, outros and reminders to subscribe, and skipping to the point with highlight. To prevent one submission with a lot of votes never being able to be replaced, I decided to use a weighted random distribution based on the equation on the right. This formula makes the first few votes matter a lot more than votes on a submission that already has a lot of votes. This gives newly submitted segments a better chance of being sent out to users to get votes. So, most users will get the best submission, but some users will get lesser votes submissions so that they can either be upvoted or downvoted.
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    Litentry

    Litentry

    Litentry

    The Litentry IdentityHub allows you to aggregate your personal data from blockchains and platforms to manage granular access to DApps. Our incorruptible hardware infrastructure allows you to stay anonymous when you need to and reveal yourself when you don't. Take back what is yours with tamper-proof digital data containers that only you own. Respect the privacy of your perfect user and learn how to effectively reach your target audience without violating their trust. Litentry's protocol and front-end products are used for any type of identity data generation, computation, and transfer where security and privacy are important. Our products allow you to manage your digital identity data scattered across Web2 and Web3 platforms, and generate and manage a verifiable identity with the help of privacy-preserving computation.
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    Secret Network

    Secret Network

    Secret Network

    Secret Network is the first blockchain with data privacy by default, allowing you to build and use applications that are both permissionless and privacy-preserving. This unique functionality protects users, secures applications, and unlocks hundreds of never-before-possible use cases for Web3. Whether you’re a developer, an artist, an entrepreneur, or a dreamer, you can become a Secret Agent and contribute to Secret Network. Check out the many contributors, collaborators, applications, and backers that make up the Secret Network ecosystem. With blockchain technology, we have the potential to create a more empowering and inclusive internet, what is often referred to as Web3. But current blockchains are public by default, exposing all data to everyone and putting users at risk. In order to enable meaningful use cases and achieve global adoption, users and organizations need control over how their data is used and shared, a concept we call programmable privacy.
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    JediSwap

    JediSwap

    JediSwap

    Maximize your returns through your preferred strategies. All contributors are considered equal. Builders and the community decides everything together. All your contributions are measured, recorded and rewarded transparently. Levelled and skill-specific NFTs proving your contribution on-chain. Proportional to effort and impact of your contribution measured in the points system. Build apps and tools using the largest community-driven crypto project on StarkNet. Get started with quick start guides, protocol documentation, a Javascript SDK, and fully open source code.
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    Horizen

    Horizen

    Horizen

    Horizen is powered by the most robust and secure public infrastructure enhanced with multiple security layers. Horizen’s distributed node system ensures the scalability, reliability, security and speed of its network. Horizen is also secured by an improved consensus with enhanced protection against 51% attacks. Horizen’s cross-chain protocol, Zendoo, is designed for developers to build blockchains and applications that solve today’s real-world problems with the flexibility to capture tomorrow’s opportunities. Powered by the Horizen blockchain to leverage the security of a robust PoW public blockchain with the largest distributed node network ensuring maximum reliability and resilience. Zero-knowledge enabled cross-chain protocol allowing auditable and privacy-preserving blockchains - bridging a major gap for real-world adoption.
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    Clique

    Clique

    Clique

    Clique is a pioneering infrastructure company that enhances on-chain applications by integrating Trusted Execution Environments (TEEs) for secure, verifiable, and efficient off-chain computations. Their TEE network functions as an off-chain AWS Lambda system, enabling confidential and verifiable function calls for smart contracts. Developers can utilize Clique's SDKs to create custom executors, interact with smart contracts, and verify attested signatures on-chain. The platform supports multiple TEE models, including Intel SGX, TDX, AMD SEV-SNP, and AWS Nitro, ensuring robust security and flexibility. Clique's solutions cater to applications requiring low-latency operations, privacy preservation, and external data support, such as off-chain order books, data sharing, and TLS oracles. To date, Clique has facilitated over $3.5 billion in on-chain transactions and served more than 750,000 end users.
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    Cogito

    Cogito

    Cogito Tech LLC

    Cogito Tech is a leading AI data solutions provider specializing in data labeling and annotation services. We deliver high-quality data for applications across computer vision, natural language processing (NLP), and content services. Our expertise extends to fine-tuning large language models (LLMs) through techniques like Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and customization to meet business objectives. The company is headquartered in the United States and was featured in The Financial Times’ FT ranking: The Americas’ Fastest-Growing Companies 2025 and Everest Group’s report Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024 Services offered by Cogito: • Image Annotation Service • AI-assisted Data Labeling Service • Medical Image Annotation • NLP & Audio Annotation Service • ADAS Annotation Services • Healthcare Training Data for AI • Audio & Video Transcription Services
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    Youverse

    Youverse

    Youverse

    Youverse is a decentralized identity and authentication platform that enhances security and privacy with advanced biometric authentication and digital identity verification solutions built on a decentralized architecture that avoids central data stores to reduce breach risk. It offers fully automated biometric identity verification that supports more than 15,000 types of identity documents from 250+ countries and territories, combining real-time liveness detection with document scanning and anti-spoofing technology to accelerate onboarding and combat fraud for customer registration and compliance workflows. Youverse also provides decentralized user authentication that reduces account takeover risk with a privacy-preserving experience users control, while fast, precise face matching algorithms adhere to international standards such as ISO/ICAO and are independently recognized by NIST for industry-leading accuracy.
    Starting Price: $139 per month
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    Oridica

    Oridica

    Oridica

    Ordica is an AI infrastructure layer designed to reduce the cost of using large language models by compressing prompts before they are sent to providers like GPT-4o, Claude, Gemini, or Grok. It operates as a lightweight proxy that sits directly in the request path, requiring no new dependencies. Users simply point their existing SDK to Ordica’s endpoint and continue using their current API keys unchanged. It processes prompts entirely in memory, compressing them in transit and forwarding them to the selected provider without storing, logging, or retaining any message content, ensuring that data privacy is preserved at every step. Ordica dynamically decides whether to compress a request based on confidence thresholds; if compression is expected to preserve output quality, it reduces token usage; if not, the request passes through unchanged, guaranteeing no degradation in responses. This approach allows developers to achieve measurable cost savings across different workloads.
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    AppsFlyer

    AppsFlyer

    AppsFlyer

    AppsFlyer helps brands make good choices for their business and their customers through innovative, privacy-preserving measurement, analytics, fraud protection, and engagement technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 10,000+ technology partners to create better, more meaningful customer relationships.
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    Hermez

    Hermez

    Hermez

    Hermez is an open-source ZK-Rollup optimized for secure, low-cost and usable token transfers on the wings of Ethereum. Hermez seamlessly integrates into the fabric of the Ethereum ecosystem and enables low-cost token transfers for an inclusive economy. Cost-efficient token transfers and swaps with high throughput. Decentralized and open-source architecture. Computational integrity for secure transactions. By using zero-knowledge technology, transfer costs are significantly reduced, allowing more accessible financial services for mainstream adoption. Computational integrity and on-chain data availability are guaranteed by zero-knowledge-proof technology while preserving the public blockchain properties of Ethereum. Hermez's mission is to create an inclusive, resilient and highly efficient payment network for the next generation of digital currencies to ensure everyone has the freedom to transact.
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    LiveRamp

    LiveRamp

    LiveRamp

    Everything we do centers on making data safe and easy for businesses to use. Our Safe Haven platform powers customer intelligence, engages customers at scale, and creates breakthrough opportunities for business growth. Our platform offers the modern enterprise full control of how data can be accessed and used with industry leading software solutions for identity, activation, and data collaboration. Build access to data, develop valuable business insights and drive revenue while maintaining full control over access and use of data at all times. Accurately address your specific audiences at scale across any channel, platform, publisher or network and safely translate data between identity spaces to improve results. Protect your customer data with leading privacy-preserving technologies and advanced techniques to minimize data movement while still enabling insight generation.
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    Perle

    Perle

    Perle

    Perle is a Web3-powered AI data platform designed to improve how artificial intelligence models are trained by combining human expertise with blockchain-based verification and incentives. It enables contributors to review, label, and evaluate multimodal data such as text, images, video, audio, and code, transforming human knowledge into structured, high-quality datasets used in real AI systems. It connects enterprises and AI labs with a global network of qualified contributors, ensuring that data used for training is accurate, context-rich, and aligned with domain expertise. Perle emphasizes data quality through multi-layer validation pipelines and consensus mechanisms that elevate annotation accuracy to production standards. Every contribution is recorded on-chain using the Solana blockchain, creating an immutable and transparent record of who contributed, what was done, and how it was validated, which improves trust, auditability, and compliance.
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    NVIDIA FLARE
    NVIDIA FLARE (Federated Learning Application Runtime Environment) is an open source, extensible SDK designed to facilitate federated learning across diverse industries, including healthcare, finance, and automotive. It enables secure, privacy-preserving AI model training by allowing multiple parties to collaboratively train models without sharing raw data. FLARE supports various machine learning frameworks such as PyTorch, TensorFlow, RAPIDS, and XGBoost, making it adaptable to existing workflows. FLARE's componentized architecture allows for customization and scalability, supporting both horizontal and vertical federated learning. It is suitable for applications requiring data privacy and regulatory compliance, such as medical imaging and financial analytics. It is available for download via the NVIDIA NVFlare GitHub repository and PyPi.
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    StableVicuna

    StableVicuna

    Stability AI

    StableVicuna is the first large-scale open source chatbot trained via reinforced learning from human feedback (RHLF). StableVicuna is a further instruction fine tuned and RLHF trained version of Vicuna v0 13b, which is an instruction fine tuned LLaMA 13b model. In order to achieve StableVicuna’s strong performance, we utilize Vicuna as the base model and follow the typical three-stage RLHF pipeline outlined by Steinnon et al. and Ouyang et al. Concretely, we further train the base Vicuna model with supervised finetuning (SFT) using a mixture of three datasets: OpenAssistant Conversations Dataset (OASST1), a human-generated, human-annotated assistant-style conversation corpus comprising 161,443 messages distributed across 66,497 conversation trees, in 35 different languages; GPT4All Prompt Generations, a dataset of 437,605 prompts and responses generated by GPT-3.5 Turbo; And Alpaca, a dataset of 52,000 instructions and demonstrations generated by OpenAI's text-davinci-003.
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    Cartesi

    Cartesi

    Cartesi

    Build smart contracts with mainstream software stacks. Take a productive leap from Solidity to the vast universe of software components supported by Linux. Enable million-fold computational scalability, data availability of large files and low transaction costs. All while preserving the strong security guarantees of Ethereum. From games where players conceal their data to Enterprise applications that run on sensitive data, preserve privacy on your DApps. Descartes executes massive computational tasks off-chain, on a Linux virtual machine fully specified by a smart contract. The results of the computations are fully verifiable and enforceable on-chain by honest Descartes node runners, preserving the strong security guarantees of the underlying blockchain. Defeat the scalability limits of Ethereum, with million-fold computational gains, while preserving the strong security guarantees of the blockchain.
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    eperi Gateway
    You alone have full control over the encryption of your data – at any time and definitely without backdoors. All Systems – One Solution. Thanks to the patented template concept you can use the eperi® Gateway for all your (cloud-) applications and adapt it to your data protection requirements. Your employees can continue working as usual, while the eperi® Gateway encrypts data transparently and preserves the central functions of your applications (such as search and sort). Take advantage of cloud applications while staying compliant with the stringent regulations of the financial industry like privacy-preserving analytics. IoT brings forth smart machines and products that collect data independently and automatically. Thanks to encryption, you can ensure data privacy and comply with legislation.
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    Warden

    Warden

    Warden

    Warden Protocol is a full-stack, intent-centric Layer-1 blockchain built on the Cosmos SDK that enables developers and users to build, interact with, and govern AI-powered decentralized applications (dApps), autonomous AI agents, and intelligent workflows that operate across blockchain networks with cryptographic verification and interoperability. It aims to bridge artificial intelligence with blockchain by providing infrastructure for verifiable AI execution on-chain, supporting smart contracts that incorporate safe, provably correct AI model outputs and intent-based transactions, while preserving decentralized trust and composability across networks. At its core, Warden introduces the concept of Intents, which represent users’ transaction objectives interpreted and enforced on-chain, enabling complex multi-step actions such as cross-chain operations, automated trades, and agent-driven logic without rigid predefined policy constraints.
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    Bitfount

    Bitfount

    Bitfount

    Bitfount is a platform for distributed data science. We power deep data collaborations without data sharing. Distributed data science sends algorithms to data, instead of the other way around. Set up a federated privacy-preserving analytics and machine learning network in minutes, and let your team focus on insights and innovation instead of bureaucracy. Your data team has the skills to solve your biggest challenges and innovate, but they are held back by barriers to data access. Is complex data pipeline infrastructure messing with your plans? Are compliance processes taking too long? Bitfount has a better way to unleash your data experts. Connect siloed and multi-cloud datasets while preserving privacy and respecting commercial sensitivity. No expensive, time-consuming data lift-and-shift. Usage-based access controls to ensure teams only perform the analysis you want, on the data you want. Transfer management of access controls to the teams who control the data.
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    Starknet

    Starknet

    StarkWare

    Starknet is a permissionless decentralized ZK-Rollup operating as an L2 network over Ethereum, where any dApp can achieve unlimited scale for its computation, without compromising Ethereum's composability and security. Starknet achieves scale, while preserving the security of L1 Ethereum by producing STARK proofs off-chain, and verifying those proofs on-chain. On Starknet, developers can easily deploy any business logic using Starknet Contracts. Starknet will provide Ethereum-level composability, facilitating easy development and compounding innovation. The STARK Prover powers the StarkEx scalability engine, and has already demonstrated the ability to process 600K transactions in a single proof on Mainnet.
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    Cwtch

    Cwtch

    Open Privacy Research Society

    Cwtch (/kʊtʃ/ - a Welsh word roughly translating to “a hug that creates a safe place”) is a decentralized, privacy-preserving, multi-party messaging protocol that can be used to build metadata resistant applications. Decentralized and Open Participants in Cwtch can host their own safe spaces, or lend their infrastructure to others seeking a safe space. There is no “Cwtch service” or “Cwtch network”. The Cwtch protocol is open, and anyone is free to build bots, services and user interfaces and integrate and interact with Cwtch. All communication in Cwtch is end-to-end encrypted and takes place over Tor v3 onion services. Cwtch has been designed such that no information is exchanged or available to anyone without their explicit consent, including on-the-wire messages and protocol metadata.
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    IAP Network

    IAP Network

    Information Assurance Platform

    The IAP’s innovative combination of blockchain technology, zero-knowledge proofs and meta-consensus protocols allow for any of these parties to cryptographically prove the existence of evidence, states or activities to any interested party. Moreover, they allow for complete transparency without sacrificing the privacy of sensitive data. Allow any party to create a time-stamped proof of the existence of evidence, such as a legal document or an historical event. Third parties, such as auditors or consumers, can independently verify this proof without impinging upon the privacy or confidentiality of the original data.
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    KopiKat

    KopiKat

    KopiKat

    KopiKat is a revolutionary data augmentation tool that improves the accuracy of AI models without changing the network architecture. KopiKat extends standard methods of data augmentation by creating a new photorealistic copy of the original image while preserving all essential data annotations. You can change the environment of the original images, such as weather, seasons, lighting conditions, etc. The result is a rich model whose quality and diversity are superior to those produced using traditional data augmentation techniques.
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    BasicAI

    BasicAI

    BasicAI

    BasicAI is a smart data annotation platform and managed labeling service provider that helps organizations create high-quality training data for artificial intelligence and machine learning models. The platform offers annotation services for 3D LiDAR, image data, audio and video tagging, NLP datasets, and RLHF and SFT dataset creation to support a wide range of AI applications. BasicAI combines AI-powered annotation tools, enterprise project management features, and specialized global annotation teams to deliver precise and scalable data labeling workflows. The company provides both managed labeling services and private deployment annotation platforms designed for organizations that require greater control over data security and processing environments. BasicAI supports industries such as automotive, robotics, logistics, manufacturing, agriculture, construction, smart cities, and healthcare with customized annotation solutions.
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    WhyLabs

    WhyLabs

    WhyLabs

    Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks.
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    Decide

    Decide

    Decide

    With Decide (formerly LockerDome), brands and publishers gain access to an ever-growing marketplace of intelligent models. With each addition, the Decision Marketplace gets smarter. Brands and publishers gain access to models that respect people’s privacy while still making world-class decisions. Decide has never relied on invasive data sources to make ad selection and impression pricing decisions, and as of 2021, we've phased out our limited use of all third-party cookies. Our ad platform was built for measured media from the ground up. Decide's proprietary attribution technology enables advertisers and publishers to measure value creation with the granularity of a single impression while optimizing toward business outcomes.
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    Veres One

    Veres One

    Veres One

    Veres One is a secure, privacy-preserving, and cost-effective way for you to control and manage your identity on the web. Ledgers enable us to reduce identifier management costs through shared common infrastructure. Veres One is optimized for identity, which further reduces costs. As a result, network operating costs and fees are a fraction of those of general-purpose ledgers like Bitcoin and Ethereum. Unlike many other networks, Veres One does not use a scarce network token. This removes price volatility and regulatory risks associated with speculative token networks. Veres One charges low, stable fees that decrease as the network scales. Distributed systems enable competitors to cooperate on common infrastructure. These systems naturally resist centralization, surveillance, and censorship, which are threats to identity. Veres One utilizes decentralized technology and governance to protect your identifiers.
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    Axiom

    Axiom

    Axiom

    Access more data at a lower cost on-chain, made trustless by the power of ZK. Use transactions, receipts, and historic states in your smart contract. Axiom supports computing over the entire history of Ethereum, verified by ZK proofs on-chain. Combine data from block headers, accounts, contract storage, transactions, and receipts. Specify computation over the history of Ethereum in Typescript with the Axiom SDK. Access our library of ZK primitives for arithmetic, logic, and array operations, verifiable on-chain. Axiom verifies query results on-chain with ZK proofs and sends them to your smart contract callback. Build truly trustless on-chain apps with ZK-verified results from Axiom. Trustlessly evaluate and pay protocol participants without external oracles. Reward protocol contributions based on on-chain behavior, even in external protocols. Slash for bad behavior according to custom criteria.
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    Footprint

    Footprint

    Footprint

    Onboard users with the click of a button. Offload handling sensitive data. Grow your user base quickly and securely with Footprint's one-click KYC and secure data vault. Footprint’s privacy-preserving technology lets you satisfy KYC without needing to ever touch PII. Our secure patent-pending PII vault protects your user's data while saving you time and money. Footprint leverages cutting-edge biometric scans, patent-pending liveness checks, and peer-to-peer verification to validate real people in real time. Our ecosystem keeps bad actors out while creating a seamless experience for real users. Footprint’s technology combines storage and verification. Our solution is up to 2x cheaper than traditional methods to verify and store PII because we are able to condense what today requires multiple tools into one.
    Starting Price: 30¢per user per year
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    NymVPN

    NymVPN

    Nym Technologies

    Enjoy secure browsing, streaming, and messaging with our unmatched blend of decentralized VPN, mixnet, and zero-knowledge payments. Elevated privacy with advanced onion encryption, data splitting, mixing, and concealment in cover traffic. Swift two-hop decentralized mode with onion encryption but no cover traffic. Inability to correlate IPs with network requests, by design. No backdoor or covert access to traffic and private data. Unmatched privacy within a single application thanks to the unique blend of mixnet and decentralized VPN. Zero-knowledge payment method, ensuring privacy and concealing user identity for transactions.
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    Luel

    Luel

    Luel AI

    Luel is a two-sided AI training data marketplace that connects enterprises and AI teams with a global network of contributors to source, license, and generate high-quality multimodal datasets for machine learning models. It provides curated, rights-cleared datasets that are verified, structured, and ready for training, including video, audio, and image data tailored for use cases such as speech recognition, computer vision, and multimodal AI systems. It enables companies to either browse a catalog of existing datasets or request custom data collection campaigns by specifying detailed requirements such as format, labels, quality standards, and scenarios, which are then fulfilled through a vetted contributor network. Submissions undergo multi-stage validation and quality checks to ensure compliance, accuracy, and usability, delivering enterprise-ready datasets with full licensing and documentation.
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    YAM Finance
    YAM is the governance token for the YAM protocol. A decentralized cryptocurrency with treasury managed by the community. The community can then use those funds via YAM governance to build out the protocol. Fair launch, open participation, and inclusive community. The YAM treasury is vibrant and growing fast. Earn YAMs while helping YAM grow too. YAM holders decide YAM's future via on-chain voting.
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    Orbiter Finance

    Orbiter Finance

    Orbiter Finance

    Orbiter Finance is a decentralized cross-rollup Layer 2 bridge that enables fast and secure asset transfers across different blockchain networks. Designed with scalability and interoperability in mind, it aims to connect Layer 2 solutions like Optimism, Arbitrum, zkSync, and StarkNet, allowing users to seamlessly move assets between these networks with low fees and minimal transaction latency. Orbiter Finance leverages zero-knowledge proofs and other advanced cryptographic techniques to ensure a high level of security, while maintaining a user-friendly interface. It is positioned to support the growing demand for efficient cross-chain transactions, making it a key player in the evolving ecosystem of Ethereum Layer 2 and beyond.
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    Granica

    Granica

    Granica

    The Granica AI efficiency platform reduces the cost to store and access data while preserving its privacy to unlock it for training. Granica is developer-first, petabyte-scale, and AWS/GCP-native. Granica makes AI pipelines more efficient, privacy-preserving, and more performant. Efficiency is a new layer in the AI stack. Byte-granular data reduction uses novel compression algorithms, cutting costs to store and transfer objects in Amazon S3 and Google Cloud Storage by up to 80% and API costs by up to 90%. Estimate in 30 mins in your cloud environment, on a read-only sample of your S3/GCS data. No need for budget allocation or total cost of ownership analysis. Granica deploys into your environment and VPC, respecting all of your security policies. Granica supports a wide range of data types for AI/ML/analytics, with lossy and fully lossless compression variants. Detect and protect sensitive data even before it is persisted into your cloud object store.
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    Lightning Rod

    Lightning Rod

    Lightning Rod

    Lightning Rod is an AI platform designed to transform messy, unstructured real-world data into verified, production-ready training datasets and domain-specific AI models without requiring manual labeling. It enables users to generate high-quality, citable question–answer pairs from sources such as news articles, financial filings, and internal documents, turning raw historical data into structured datasets that can be used for supervised fine-tuning or reinforcement learning. It operates through an agent-driven workflow where users describe their goal, and the system automatically gathers sources, generates questions, resolves outcomes based on real-world events, and adds contextual grounding before training a model. A key innovation is its “future-as-label” methodology, which uses actual outcomes as training signals, allowing AI systems to learn directly from real-world results at scale instead of relying on synthetic or manually annotated data.
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    Optable

    Optable

    Optable

    End-to-end data clean room platform, integrated for activation. Publishers and advertisers use Optable data clean room technology to securely plan, activate and measure advertising campaigns. A new generation of privacy-preserving data collaboration software. Optable customers can collaborate with their customers and partners, including those who aren't Optable customers themselves. This can be done using the platform's Flash Nodes, allowing to invite other parties into a secure environment. Optable offers a decentralized identity infrastructure, allowing to build of private identity graphs. The infrastructure provides means for creating purpose-limited, permission data clean rooms that minimize data movement. Interoperability with data warehouses and other data clean rooms is key. The use of our open-source software allows third-party platforms to match data with Optable customers, as well as implement secure clean room functions for their own use.
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    DeepCoder

    DeepCoder

    Agentica Project

    DeepCoder is a fully open source code-reasoning and generation model released by Agentica Project in collaboration with Together AI. It is fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning, achieving a 60.6% accuracy on LiveCodeBench (representing an 8% improvement over the base), a performance level that matches that of proprietary models such as o3-mini (2025-01-031 Low) and o1 while using only 14 billion parameters. It was trained over 2.5 weeks on 32 H100 GPUs with a curated dataset of roughly 24,000 coding problems drawn from verified sources (including TACO-Verified, PrimeIntellect SYNTHETIC-1, and LiveCodeBench submissions), each problem requiring a verifiable solution and at least five unit tests to ensure reliability for RL training. To handle long-range context, DeepCoder employs techniques such as iterative context lengthening and overlong filtering.
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    SecuredAI

    SecuredAI

    SecuredAI

    SecuredAI is a privacy-first AI assistant that protects sensitive information before it is sent to large language models such as OpenAI and DeepSeek. The platform automatically detects personally identifiable information (PII) and other sensitive data, replaces it with context-preserving placeholders, and restores the original values locally on the user's device after the AI generates a response. Its Zero-Knowledge Vault ensures that sensitive information never leaves the device and that encryption keys are never stored on SecuredAI's servers. The platform supports detection of names, email addresses, phone numbers, organization names, account numbers, identifiers, and custom data patterns. SecuredAI is designed to help organizations adopt AI safely without exposing confidential business, legal, financial, or healthcare information.
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    BeeKeeperAI

    BeeKeeperAI

    BeeKeeperAI

    BeeKeeperAI™ uses privacy-preserving analytics on multi-institutional sources of protected data in a confidential computing environment including end-to-end encryption, secure computing enclaves, and Intel’s latest SGX enabled processors to comprehensively protect the data and the algorithm IP. The data never leaves the organization’s protected cloud storage, eliminating the loss of control and “resharing” risk. Uses primary data - from the original source - rather than synthetic or de-identified data. The data is always encrypted. Healthcare-specific powerful BeeKeeperAI™ tools and workflows support data set creation, labeling, segmentation, and annotation activities. The BeeKeeperAI™ secure enclaves eliminate the risk of data exfiltration and interrogation of the algorithm IP from insiders and third parties. BeeKeeperAI™ acts as the middleman & matchmaker between data stewards and algorithm developers, reducing time, effort, and costs of data projects by over 50%.