?? Excited to announce the release of our latest Responsible AI Ecosystem Market Map—now featuring ~300 innovative startups! These companies are leading the charge in making AI safer and more trustworthy—addressing challenges from security to hallucinations to content attribution. ?? Explore the Market Map: https://dub.sh/eaidb_map ?? Don't miss our 2024 H1 report for insights on funding trends, competitive pressures, M&A activity, and more: https://lnkd.in/dwuqeXqq BGV, Emmanuel Benhamou, Ash Tutika #genai #responsibleai #ethicsinai #eaidb #startups #ai
Ethical AI Database (EAIDB)
信息服务
New York City,New York 4,742 位关注者
The only database of startups enabling responsible AI. Database updated live, market maps published semiannually.
关于我们
The only publicly available, vetted database of AI startups providing responsible AI enablement services. We publish semiannual market maps and reports (found on our website at eaidb.org) in an effort to bring these startups to the forefront and highlight a space that intends to do nothing but improve the trustworthiness, safety, and responsibility of AI systems.
- 网站
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https://eaidb.org
Ethical AI Database (EAIDB)的外部链接
- 所属行业
- 信息服务
- 规模
- 2-10 人
- 总部
- New York City,New York
- 类型
- 自有
- 创立
- 2022
- 领域
- ethics、AI、ML、startups和genai
地点
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主要
US,New York,New York City
Ethical AI Database (EAIDB)员工
动态
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Want to make sure your AI-native startup stays ahead? Check out the AI-Native Startup Playbook by BGV and EAIGG: Ethical AI Governance Group. The playbook offers actionable insights, practical frameworks, and innovative strategies for building AI startups that seamlessly combine human ingenuity with intelligent machines to accelerate productivity across the enterprise. The playbook provides a walkthrough on how to: ???????????? ?? ?????? ???????? ??????????: From scalable, (often open-source) infrastructure that enables growth without incurring excessive costs, to maneuvering performance bottlenecks, AI-native startups require an entirely new tech stack for their businesses. ???????????????? ???????? ????????????????????: Navigate the complexities of integrating unstructured data and ensuring data quality, privacy, and compliance. ???????????????? ?????? ?????????????? ??????????-?????????????? ??????????????: Leverage BGV's proprietary Human-AI Augmentation Index and Value Waterfall Framework to articulate the value of AI beyond automation. ?????????????? ????????????????, ?????????????????????? ???? ??????????????????: Address adoption barriers by embedding trust, transparency, and security into AI products. ???????????? ????-????-???????????? ????????????????????: Learn how to build partnerships with tech giants and adopt hybrid pricing models to accelerate market entry and adoption. You can find the report here: https://lnkd.in/entCi596. Free for qualifying founders! #startups #genai #founders #eaidb #ai
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Today on EAIDB Feature Fridays, we're spotlighting Haize Labs (https://haizelabs.com), the end-to-end platform dedicated to building robust and trustworthy AI applications. Haize Labs ensures your AI systems are reliable, safe, and ready for production, embedding trust and reliability into your Generative AI applications. What makes Haize unique: ? Automated Red-Teaming: Haize Labs employs advanced algorithms to automatically identify vulnerabilities and edge cases without the need for manual test-set generation. ? Comprehensive Monitoring: get a unified view of your AI system's performance, interactions, and anomalies. ? Continuous Optimization: improve your AI system over time by optimizing prompts, models, and architectures - all automatically. ? Custom Evaluation: configure and run high-precision evaluations (better than regular LLMs-as-a-Judge) calibrated to your specific use case. The team behind Haize Labs is based in the United States and is committed to advancing AI safety and reliability across various industries with cutting-edge products and research. They have collaborated with leading organizations such as AI21 Labs, Goodfire, OpenAI, Anthropic to enforce safer and better behaved responsible AI. Discover more about how Haize Labs can enhance the safety and reliability of your AI systems on their website, https://haizelabs.com, or reach out to them directly at [email protected]. #startups #AI #AIsafety #AIgovernance #responsibleAI #Evaluation #EAIDB #genAI
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Federated learning in full-swing! Flower Labs and Rhino Federated Computing, two EAIDB-listed companies, are teaming up to build more interoperable and capable federated systems and potentially unlock data for a variety of use cases where privacy is of the utmost concern. Flower Labs will bring its developer-friendly PETs and ML compatibility (along with FedGPT, which allows organizations to work with LLMs in a federated way). Rhino Federated Computing will contribute strong centralized management, multi-cloud support, security measures, and integrations via its FCP. #federatedai #llm #startups #eaidb
?? ?? Flower is partnering with Rhino! Two of the major organizations behind federated learning today are teaming up to build more interoperable and capable federated systems for everyone! As annouced yesterday in our joint press release, Flower Labs and Rhino Federated Computing are joining forces to accelerate the adoption of Federated Learning across industries. By integrating the Flower Framework with Rhino's enterprise-grade Federated Computing Platform (FCP), organizations can leverage decentralized AI with enhanced security, scalability, and efficiency. With developer-friendly tools and robust orchestration capabilities, this collaboration empowers industries like healthcare, finance, manufacturing, and retail to extract insights from distributed data—without compromising privacy or compliance. Federated AI is evolving, and we’re making it more accessible than ever. ?? Link to the press release in the comments!
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Today on EAIDB Feature Fridays: Feedback Intelligence (https://lnkd.in/e_MteYjZ) - the go-to platform for optimizing LLM applications by harnessing the power of real-world usage. ?? By turning implicit user feedback into actions, Feedback Intelligence ensures AI products align with user needs and expectations. Feedback Intelligence lets Product Managers, Data Scientists, and Domain Experts: ? Convert user interactions into “what users want to achieve” at scale,? ? Configure use case-specific metrics that truly measure success, ? Get actionable recommendations on what to fix and how to fix it. Why Feedback Intelligence? Today, companies heavily integrate LLM-powered products into their core product offering. As co-pilots, chat and voice assistants, chatbots, conversational AI, and agentic workflows are main channels to drive sales and growth, it is critical to know what users/customers use those LLM apps for. It’s also super essential to know whether the output of LLM apps are aligned with users' needs, ethics, and expectations. The team at Feedback Intelligence is based in San Francisco ?? and works with AI-driven companies that care about successful LLM-powered products where the actual user needs and expectations are placed into development and optimization phases. They've had successful deliveries to medium to large enterprises in fintech and insurance tech. Want to see how Feedback Intelligence can help your AI perform better in the real world? Visit https://lnkd.in/ekSRiRp7 or reach out at [email protected]. #startups #eaidb #genai #llm #ai
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Recapping the RAI space in February 2025: new massive funding rounds, two big safety and security releases for LLMs / agents, and some big moves from Experian. Here are the highlights: 1. Arize AI raises a massive $70m Series C led by Battery Ventures, TCV, and Datadog (among others) to scale evaluation and observability for LLMs / agents and further develop Arize Phoenix OSS, the most widely used open-source library for LLM observability. 2. Haize Labs releases Verdict (accelerated, custom, and better performing LLMs-as-a-judge), vijil releases Dome (security testing and monitoring for agentic applications). 3. Flower Labs partners with Rhino Federated Computing (both EAIDB-listed companies!) to combine and enhance their federated computing / federated AI capabilities. 4. Experian launches partnerships with both ValidMind (automated documentation, GRC) and Dynamo AI (safety, security in GenAI applications) to production-ize and scale their offerings. See the February 2025 edition of the Nano on the EAIDB website: https://lnkd.in/eBHyb3jr #ai #llms #genai #startups #eaidb #experian #vc
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There is a dangerous pattern emerging from the top model providers - as the capabilities of the model increase, they're also getting more biased, less safe, and harder to align. - Anthropic's Claude 3.7 Sonnet is more susceptible to attacks than its previous models. - OpenAI's GPT 4.5 is significantly more biased than GPT 4o. - DeepSeek AI is one of the most biased and most hallucination-prone models out there. - Google DeepMind's Gemini 2.0 is less safe than its previous Gemma series. Guard your users, your data, and your models - it has never been more critical. Check out Enkrypt AI's LLM Leaderboard for the full rankings: https://lnkd.in/gKVHmK28 #openai #anthropic #llm #ai #google #eaidb
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We're back with Feature Fridays! Today we're highlighting trail (www.trail-ml.com), the AI governance copilot for AI teams and compliance, that enables organizations to build and use #trustworthy and #compliant #AI solutions - without losing efficiency. What makes Trail unique: ? Actionable and Role-specific Insights: Trail translates and curates requirements of policies and frameworks. Trail tells you who should do what, when, and how across your organization. ? Advanced Templating: With templates for various AI governance frameworks, Trail prepares you for upcoming regulation (such as the EU AI Act) as well as audits. Companies can understand their use cases better and ship them to production while minimizing risks. ? Highly Automated: Trail automates manual, repetitive, and time-consuming tasks like writing technical documentation and integrates into existing governance processes and tech infra. ? Easy Access and Consolidation: Trail consolidates all AI project information into a single, easily accessible hub, making complex information understandable for non-technical stakeholders. The team behind Trail is based in Germany ????, and they are also on the lookout for project partners keen on proactively addressing AI governance, the EU AI Act or #ISO42001 AIMS implementation within their organizations. Recently, they have also supported a client to obtain one of Europe’s first ISO/IEC 42001 certifications! Discover more about how trail can be the catalyst in your AI governance on their website, https://www.trail-ml.com/, or reach out to them directly at [email protected]. #startups #aigovernance #eaidb #ethicsinai #responsibleai
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Company Highlight: Caber Systems, Inc., a new addition to EAIDB! Automatically apply RBAC-type controls and data governance policies at the chunk or even byte-level with Caber. ? Dynamically trace the lineage of a chunk to its source(s) as it's being used by AI by inspecting its individual bytes (zeroes and ones!). ? Resolve the permissions/classification(s) on each chunk and enforce policies based on who the AI is acting on behalf of. ? Reduce duplicates of information in your RAG system and find other data issues with detailed observability of chunk movement between AI agents and in APIs. Welcome to the Ethical AI Database (EAIDB), Caber! #startups #eaidb #genai #data
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Recapping January 2025 for the RAI ecosystem: two acquisitions, new products, and new partnerships. Here are the highlights: 1. Coralogix acquires Aporia (Acquired by Coralogix) to expand their analysis capabilities from traditional software into AI applications. 2. ZwillGen acquires Luminos.Law (Acquired by ZwillGen) to create an AI-specific legal division. This is the first occurrence of an acquisition in the responsible legal space that we've seen so far! 3. Fascinating product releases focusing on data for AI from Athina AI (YC W23) and MOSTLY AI. 4. Hippocratic AI partners with Nsight Health to amplify their agentic capabilities through Nsight's remote care devices. See the January 2025 edition of the Nano on the EAIDB website: https://lnkd.in/eje5FZyC #legal #ai #eaidb #startups #genai