Generative AI lacks accountability. Techniques like Chain-of-Thought reasoning, RAGs, and multiagent systems aim to address more sophisticated challenges but still rely on probabilistic predictions, not deterministic computations. AI is unlocking opportunities across countless domains, but the complex world of business demands greater accountability. Mission-critical tasks require not only answers but traceable, evidence-based processes to reach them. Without these, we risk hallucinations—fabricated outputs that render AI results unreliable. This lack of trustworthiness is why fewer than 6% of corporations use AI for anything beyond basic tasks like question-and-answer bots.

What we are building

We believe the solution isn't in refining existing approaches but in creating a new kind of computing system—one that combines AI's creative problem-solving with the determinism of traditional computational systems. With Maisa, you can create bulletproof AI Agents. These are a new generation of Digital Workers that follow natural language instructions to achieve specific outcomes and goals, making intelligent and reliable automation a reality.

With the best behind us

We are fortunate to be backed by visionary investors committed to advancing our mission. Our pre-seed round brought in $5 million, led by NFX and joined by Village Global, the venture fund backed by Mark Zuckerberg, Eric Schmidt, and Jeff Bezos. This funding was further supported by Sequoia's Scout Fund, DeepMind PM Lukas Haas, and other angel investors. This funding enables us to continue developing our product and expanding our research initiatives. We're also genuinely grateful for the recognition our work has received, including a recent feature in Forbes that highlights this important milestone for us.

Maisa is going to be a major player in Agentic Process Automation (APA) helping businesses across the world transform their core, business-critical functions through AI.
Anna Piñol, NFX

David and the Maisa team are building a transformative technology to turn AI agents into actual workers capable of reasoning through complex workflows.
Max Kilberg, Village Global