Top 50 Responsible Ai Platform - Series A

Mind Foundry has developed an AI platform that utilizes Bayesian inference and probabilistic numerics to create responsible AI solutions for high-stakes applications in sectors such as defense, infrastructure, and insurance. The platform addresses the challenges of risk and complexity by enabling organizations to design, test, and deploy AI systems that enhance decision-making and improve operational outcomes.

The startup provides cloud computing services that enable organizations to optimize their operational processes and enhance customer relationships through data-driven decision-making. By facilitating the transformation of business models, the company helps clients achieve greater efficiency and profitability.

The startup provides an open-source platform that implements AI guardrails to mitigate risks associated with generative AI outputs, ensuring compliance with industry standards and preventing sensitive data leaks. By offering real-time hallucination detection and customizable validation tools, it enhances the reliability and safety of AI applications across enterprise infrastructures.

Elloe AI develops a platform that continuously monitors and corrects AI outputs in real-time, utilizing technologies like AutoRAG and TruthChecker to prevent misinformation and bias in critical decision-making processes. This ensures that enterprises in high-stakes industries, such as finance and healthcare, can rely on accurate and trustworthy AI responses.

The startup develops artificial intelligence governance software that provides certifiable and tamper-proof auditing for organizations utilizing AI models. This technology ensures compliance with regulatory requirements, enabling businesses to implement AI solutions with confidence.

MagicSchool provides a secure, district-aligned artificial intelligence platform designed for K-12 education environments. This platform offers tools to amplify educator impact by saving time on administrative tasks and personalizing instruction for every learner. The system focuses on improving student learning outcomes while ensuring enterprise-grade data privacy and compliance for school systems.

Monitaur provides a platform that integrates data, governance, risk, and compliance teams to ensure accountability and transparency in machine learning applications. The solution enables organizations to implement actionable AI governance practices, mitigating risks associated with AI deployment and enhancing operational efficiency.

OpenDialog AI is a conversational AI platform that enables enterprises to build, manage, and scale AI agents with a focus on safety, transparency, and explainability, specifically tailored for regulated industries. The platform automates complex business processes and enhances customer interactions by providing personalized, 24/7 support across various channels, significantly improving operational efficiency and customer satisfaction.

Provides an AI governance platform that enables enterprises to inventory AI use cases, assess vendor risks, and ensure compliance with regulations like the EU AI Act and ISO/EIC 42001. The platform integrates with existing AI systems to automate risk management, generate audit artifacts, and operationalize contextual governance at scale, reducing regulatory and operational risks associated with AI adoption.

GPTZero offers a suite of AI detection tools that analyze text todetermine whether it was generated by large language models such as ChatGPT, GPT‑5, Gemini, Claude, and Llama, while also providing plagiarism, grammar, and hallucination checks. The platform serves educators, writers, recruiters, cybersecurity teams, and enterprises through web, Chrome extension, Google Docs, Canvas, and API integrations, and generates revenue via tiered subscription plans and usage‑based API fees.

Calvin Risk develops a risk management platform that quantifies and mitigates the risks associated with artificial intelligence algorithms, ensuring compliance with the EU AI Act. The platform centralizes AI model governance, providing transparency and facilitating the assessment of potential negative impacts across industries such as insurance, banking, and telecommunications.

The startup offers an artificial intelligence platform that enables organizations to extract, prepare, and process data for machine learning workflows, facilitating the transition from experimentation to production. This platform provides a secure and scalable solution to enhance the efficiency and performance of AI projects, addressing the challenges of data management and deployment in AI development.

Mira provides a platform for building trustworthy AI systems by verifying outputs and actions through collective intelligence. It utilizes diverse LLMs to validate AI results and secures systems using cryptoeconomic primitives. This enables the deployment of fully autonomous AI workflows without requiring human oversight.

Stelia OS is a full‑stack operating system for enterprise AI that delivers private, sovereign deployments with integrated model orchestration, runtime execution, and trajectory governance. The platform provides end‑to‑end encryption, real‑time observability, compliance tooling, and token‑efficiency optimization, enabling regulated industries to run autonomous AI agents at scale with auditable decision paths.

Bria provides a Visual Generative AI platform that enables developers to create tailored AI solutions using source-available models and APIs, all trained on 100% licensed data. The platform mitigates copyright and privacy risks while facilitating rapid deployment of enterprise-ready applications across various commercial departments.

Singulr provides a unified AI governance platform that discovers, secures, and optimizes enterprise AI workloads across custom models, public services, and embedded AI features. It delivers real‑time risk intelligence, continuous red‑team testing, and runtime protection to prevent data leaks, policy violations, and misuse, while offering automated onboarding, policy enforcement, and audit trails for compliance teams. The platform monetizes through subscription licensing, charging organizations for access to its risk‑scoring engine, security controls, and collaborative governance tools.

Verax AI provides a Control Center that enables organizations to monitor and manage large language models (LLMs) in real-time, automatically detecting and correcting issues such as hallucinations and data leakage. This platform enhances operational safety and compliance by ensuring verified AI outputs while mitigating risks associated with unpredictable LLM behavior in production environments.

Qualified Health provides a model‑agnostic platform that lets health systems develop, deploy, and monitor generative AI agents within a HIPAA‑compliant framework. The solution enforces role‑based access, automated clinical evaluation, and human‑in‑the‑loop review, and exposes FHIR‑compatible APIs for integration with EHRs and other health IT.

Dynamo AI provides a platform‑as‑a‑service that embeds security, privacy, and regulatory controls into the generative AI lifecycle for enterprises. Its DynamoEval suite performs automated pre‑production risk assessments and red‑team simulations, while DynamoGuard enforces real‑time guardrails that block prohibited content, detect hallucinations, and prevent data exfiltration. A unified observability console and AI‑assisted policy authoring tools deliver continuous auditing and policy updates for regulated sectors.

Dynamo AI provides a Platform as a Service suite to accelerate the secure and compliant productionization of enterprise AI use cases. The platform offers automated AI evaluations, customizable compliance guardrails, and real-time hallucination detection to mitigate security and governance risks. This enables organizations to deploy generative and agentic AI confidently with continuous monitoring and auditing capabilities.

WIZ.AI develops human-like voice AI agents that automate customer service interactions across various industries, including banking, healthcare, and e-commerce. Their technology enhances customer engagement by achieving a 90% resolution rate and reducing wait times by 65%, ultimately improving operational efficiency and customer satisfaction.

Lanai provides an enterprise observability layer for AI, offering performance management across all AI interactions, tools, and agents. The platform reveals workflows, measures ROI, and identifies usage patterns to help leaders steer AI investments effectively. It delivers data-driven insights on AI impact, enabling organizations to scale successful use cases and mitigate risk.

WitnessAI provides a platform that enables enterprises to monitor AI activity, enforce usage policies, and secure data against misuse and attacks. This solution addresses the challenges of maintaining control, privacy, and security while leveraging generative AI technologies.

ZapiaAI is a personal AI assistant tailored for the Latin American market, utilizing generative AI to enhance user experiences and streamline daily tasks. The platform addresses the need for accessible, efficient digital assistance in emerging markets, improving productivity and connectivity for its users.

LatticeFlow offers a single platform that discovers, evaluates, and continuously monitors AI systemsto identify and mitigate risk across the agentic AI stack. It combines deep technical assessments with expert risk interpretation, turning complex AI signals into actionable insights for governance and compliance. The solution enables enterprises to secure AI deployments, align with regulations, and maintain trustworthy performance at scale.

Paragon provides an AI product operating system that integrates data curation, model training, deployment, and API monetization into a single platform. It offers HIPAA‑compliant, audited data pipelines with domain‑vetted labeling, reproducible version‑controlled training, CI/CD‑driven MLOps, drift monitoring, and usage‑based billing to help regulated enterprises launch and scale specialized AI solutions.

Vijil provides AI developers with red-team and blue-team cloud services to enhance the reliability, security, and safety of autonomous agents during both development and operation. The platform addresses the lack of trust in large language models by continuously evaluating their performance under various conditions to mitigate vulnerabilities and ensure consistent behavior in production environments.

ModelOp provides AI Governance software that integrates with existing enterprise systems to ensure compliance and mitigate risks associated with AI initiatives, including generative AI and third-party models. The platform offers a centralized inventory for tracking AI performance and automates governance processes, enabling organizations to maintain oversight while accelerating their AI deployment.

The startup develops data visualization software that utilizes synthetic data generation to replace personal data and rebalance biased datasets, enabling secure and fair analysis. This technology allows businesses to leverage AI opportunities for comprehensive data insights, enhancing operational efficiency and decision-making.

This company develops a cognitive computer, an intelligent software substrate designed to perceive, remember, reason, and act across all authorized tools and services. It functions as a horizontal cognitive foundation, eliminating manual context-switching for knowledge workers. The platform aims to amplify individual, team, and organizational productivity through hyper-personalization and seamless orchestration.

The startup offers an artificial intelligence platform that utilizes a visual editor and a straightforward application programming interface to enable users to create and implement personalized automation within their applications. This technology addresses the complexity of task automation by allowing clients to easily design contextualized workflows tailored to individual user needs.

This startup offers MLOps solutions that streamline the deployment and management of machine learning models in production environments. By optimizing the workflow from model development to deployment, it minimizes operational bottlenecks and improves the reliability of AI applications.

Unlikely AI is developing neurosymbolic AI that combines large language models with symbolic reasoning to enhance the accuracy, trustworthiness, and explainability of automated systems. This approach addresses the opacity of traditional AI models, enabling users to understand and trust AI-generated outcomes.

Unique AI provides an enterprise AI platform tailored for financial services, offering modular components that can be integrated into existing infrastructure or deployed as a full solution. The platform includes secure AI governance, data protection, and specialized financial agents for tasks such as KYC, investment analysis, and risk assessment. It supports multi‑tenant, single‑tenant, and self‑hosted deployments to meet regulatory compliance and data residency requirements.

Distyl AI develops the Distillery platform, which utilizes generative AI to create and refine AI-native workflows called Routines, enabling organizations to automate and scale their operations efficiently. By transforming organizational knowledge into dynamic, auditable processes, Distyl reduces deployment time from months to days while ensuring transparency and reliability in AI systems.

Cake provides an enterprise AI management platform deployed entirely within a customer's VPC for regulated industries. This platform unifies data, models, and orchestration while enforcing governance, security, and cost controls across the AI/ML lifecycle. It enables faster development and scaling of GenAI and Machine Learning applications using open-source components.

retrain.ai is a talent intelligence platform that utilizes generative AI and real-time market data to enhance workforce hiring, retention, and development by providing actionable insights into employee skills and capability gaps. The platform enables organizations to reduce hiring time by 55% and increase employee retention by 30% through data-driven career pathing and skills mapping.

Provides a platform for governing enterprise use of generative AI (GenAI) by detecting unauthorized usage, mitigating data security risks, and controlling access to private models and sensitive information. It enables organizations to safely adopt GenAI by recording interactions, generating audit trails, and enforcing granular access policies, preventing data leaks while integrating enterprise data for personalized insights.

TrustLab provides AI trust and transparency solutions through continuous monitoring and quality evaluation to ensure AI decisions are objective-aligned and explainable. The company offers ModAI for efficient multi-modal content labeling, SuperviseAI for real-time LLM response monitoring, and DetectAI for intellectual property protection and content misuse detection. These no-code integrations help businesses boost AI deployment ROI while limiting operational and reputational risks across various sectors.

Provides a security platform that enables regulated enterprises to safely integrate and govern generative AI across all workflows, including web applications and desktop environments. It ensures complete data security, granular access controls, and real-time observability, allowing organizations to leverage AI tools without compromising compliance or privacy.

ValidMind provides an AI governance platform designed to centralize oversight and automate model risk operations for enterprises, particularly in regulated industries. The platform manages the entire model lifecycle, including validation, documentation, and continuous monitoring, to accelerate AI adoption safely. This unified approach reduces cycle times and costs associated with scaling AI while ensuring regulatory alignment.

Provides an AI Guardrails platform that uses multi-SLM detection engines to enforce security, reliability, and observability for AI workloads. It prevents issues like prompt injections, data leakage, and hallucinations in real time, ensuring compliance with company policies and reducing risks associated with deploying generative AI in enterprise environments.

Cranium is an AI security and trust platform that continuously monitors AI systems for vulnerabilities while ensuring compliance with internal and third-party AI regulations. By providing visibility into the entire AI supply chain, Cranium helps organizations mitigate risks and build trust without exposing sensitive data.

StackAI provides an enterprise AI platform that lets IT teams create, deploy, and manage AI agents across existing business systems. The no‑code environment supports secure, governed workflows with certifications such as HIPAA, GDPR, SOC 2, and ISO 27001. Integrated with over 100 enterprise applications, the platform enables rapid automation of tasks like ticket triage, document processing, and financial analysis.

aiXplain provides a no-code and low-code integrated development environment (IDE) for building and deploying AI agents, utilizing Large Language Models and multimodal AI to automate tasks such as unit testing and documentation. The platform addresses the challenges of AI adoption for small and medium enterprises by ensuring compliance, scalability, and real-time monitoring of AI systems.

Straiker provides agentic AI security solutions to manage risk across AI agents and their associated infrastructure. The platform offers discovery, continuous red-teaming, and real-time runtime defense against threats like prompt injection and data leakage. This enables organizations to securely deploy and scale autonomous AI applications with necessary governance and visibility.

Thread AI provides Lemma, a composable AI orchestration platform for building and managing AI workflows and agents. This platform allows teams to prototype and productionize AI solutions using low-code interfaces or APIs, significantly reducing infrastructure complexity. Lemma ensures secure adoption through features like data encryption, PII redaction, and unified governance across all operationalized models.

Larridin provides an AI impact intelligence platform that measures enterprise AI adoption, fluency, workflow integration, and developer productivity. It automatically discovers AI usage across tools like GitHub and Jira, quantifies the business impact of AI initiatives, and delivers data‑driven recommendations for scaling, cost optimization, and governance. The service is sold to senior leaders (CIOs, CFOs, CHROs, etc.) on a subscription basis, offering continuous monitoring and actionable insights to improve AI ROI.

Pathways provides an AI-powered platform that transforms operational data into automated, real-time reporting for material manufacturers. This solution accelerates the deployment of Life Cycle Assessments (LCAs) and Environmental Product Declarations (EPDs) by eliminating manual data collection. The platform delivers continuous visibility into emissions and generates verified sales assets to support environmentally responsible product promotion.

Sema4.ai offers an enterprise AI agent platform for building and scaling custom AI agents to automate complex, decision-driven workflows. Its tools enable businesses to enhance operational efficiency and reduce costs by integrating large language models into secure, controlled environments.