ActionAI, founded by Miriam Haart, has secured $10 million in Seed funding led by UAE-based investors. The company is building reliability infrastructure to address AI trust gaps, hallucinations, and pilot-stage bottlenecks for mission-critical enterprise automations in finance, manufacturing, and regulated industries.
Quick Intel
ActionAI, a reliable AI company powering mission-critical automations and business intelligence for enterprises, today announced $10 million in Seed funding. The round was led by prominent UAE-based investors. Founded by Miriam Haart, a Stanford educated engineer, Computer Science lecturer, and star of Netflix hit series My Unorthodox Life, ActionAI will use the funding to scale safe, reliable AI for mission-critical workflows.
As enterprises rapidly adopt AI, a critical trust gap is emerging. According to a global study from KPMG, 66% of employees use AI at work, yet trust remains a significant concern — 58% use AI without evaluating its accuracy, and 56% report mistakes arising from AI use. At the same time, some 90% of AI use cases remain stuck in pilot mode. Overcoming these bottlenecks and unlocking the full potential of AI centers on earning trust, which has been eroded due to mistakes, biases, and hallucinations in AI outputs.
ActionAI’s Reliability Infrastructure Across the AI Lifecycle ActionAI is pioneering a reliability infrastructure across the full AI lifecycle. Its technology maps data to each point of the AI stack for granular evaluation and testing. From there, it can scale and optimize automations, debugging in real-time to spotlight where a failure occurs and enabling rapid edge-case handling. In addition, Explainable Exceptions (ExEx) eliminates LLM hallucinations with human-in-the-loop exception handling and explanation. In the production stage, ActionAI’s monitoring tools identify performance dips and mistakes triggered by new data or instructions automatically, mitigating live risk and ensuring reliable outputs at every stage.
Addressing Enterprise Cost and Reliability Challenges With companies losing up to 20-30% of their operating costs to inefficiencies, enterprises want to leverage AI tools to cut costs. However, skepticism remains when automating without ironclad guarantees of reliability. ActionAI provides mission-critical, AI-driven automations through its reliability tech stack, enabling enterprises to minimize operational costs and unlock improved reporting, deeper insights, and revenue-driving tools that support long-term AI-driven transformation.
"AI is handling increasingly complex tasks with highly sensitive or personal data without any sufficient oversight or accountability," said Miriam Haart, CEO of Action AI. "ActionAI makes AI accountable from day one. Beginning with the initial data inputted, we review, fine-tune and secure the information which underpins an AI system. From there, our reliability architecture prevents AI vulnerabilities well before they reach production. Which enables AI automations with transparency and trust."
Miriam Haart continued, "Enterprises are facing the dichotomy of implementing AI while accepting the unreliability which goes alongside it. As AI improves, we need to ensure it can be trusted. This is what ActionAI is delivering: secure, transparent, reliable AI for mission-critical enterprise use-cases."
ActionAI is primarily targeted at mission-critical industries such as finance and banking, manufacturing, retail, insurance, supply chain, logistics, legal and judiciary systems, and any regulated industry where accuracy is non-negotiable and errors carry real consequences.
About ActionAI
ActionAI is an AI reliability start-up founded by Miriam Haart, a Stanford educated engineer. The company specializes in the development of reliable, scalable AI solutions that enable enterprises to automate mission-critical workflows with full transparency and accountability. ActionAI's infrastructure is designed to autonomously execute complex tasks, ensuring accuracy, safety, and compliance without compromising speed.
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