Spanish deeptech startup **Maisa AI** has secured $25 million in funding to tackle the persistently high failure rates of enterprise AI projects by advancing its traceable AI decision-making technology. This capital injection aims to help businesses overcome the risks and lack of transparency that have long plagued AI implementations in enterprise settings.
Founded in Valencia, Spain, Maisa AI specializes in creating...
Founded in Valencia, Spain, Maisa AI specializes in creating AI systems that execute reasoning through attributable sources rather than relying solely on predictive models. This approach is designed to eliminate AI hallucinations—errors where AI generates false or misleading information—and increase the trustworthiness and auditability of AI outcomes for complex business tasks. By leveraging existing large language models from providers like Anthropic, OpenAI, and Google, Maisa’s technology offers enterprises a more reliable and transparent AI solution, significantly reducing operational risks[1][2].
The new $25 million funding round builds on an earlier $5 mi...
The new $25 million funding round builds on an earlier $5 million pre-seed investment led by NFX with participation from Village Global, prominent angel investors, a Sequoia scout, and DeepMind’s product manager Lukas Haas[1][2][3]. The fresh capital will primarily support accelerating product development and expanding go-to-market strategies to serve large-scale enterprise customers.
Maisa’s early adopters include major international corporati...
Maisa’s early adopters include major international corporations across automotive, oil & gas, financial services, and cybersecurity sectors, highlighting cross-industry demand for AI systems that can be audited and trusted in critical decision-making processes[2]. The company’s Vinci KPU technology executes step-by-step AI reasoning, providing full traceability of sources and logic behind AI-generated results, which addresses a core challenge in enterprise AI—eliminating the "black box" problem.
This funding milestone comes amid growing recognition that t...
This funding milestone comes amid growing recognition that traditional AI deployments in enterprises often suffer from high failure rates due to issues like lack of explainability, data bias, and unverifiable outputs. Maisa’s approach represents a strategic shift toward creating AI that can be systematically audited and validated, aligning with stricter regulatory and compliance demands worldwide.
While the Finnish MAISA AI project led by Netum Ltd focuses...
While the Finnish MAISA AI project led by Netum Ltd focuses on AI-powered innovations in software development and requirements management, it is distinct from the Spanish startup’s efforts but illustrates parallel global trends toward integrating reliable AI into enterprise workflows[4][5].
With this substantial new investment, Maisa AI is well-posit...
With this substantial new investment, Maisa AI is well-positioned to lead the transformation of enterprise AI by making it more transparent, trustworthy, and ultimately successful in delivering measurable business value.
🔄 Updated: 8/28/2025, 5:10:27 AM
Maisa AI secured $25 million in a seed round led by Creandum to address the staggering 95% failure rate of generative AI pilots in enterprises, as reported by MIT's NANDA initiative. Experts highlight that Maisa’s approach, focusing on “chain-of-work” automation via accountable AI agents rather than opaque outputs, represents a shift toward more reliable, process-driven AI systems, which industry leaders see as key to overcoming current generative AI shortcomings. Maisa CEO David Villalón emphasized, “Instead of using AI to build the responses, we use AI to build the process that needs to be executed to get to the response”[1].
🔄 Updated: 8/28/2025, 5:20:25 AM
Maisa AI secured $25 million in a funding round led by Creandum to tackle the staggering 95% failure rate of enterprise AI pilots, as highlighted by MIT's NANDA report[1]. Experts like CEO David Villalón emphasize that Maisa's innovation lies in creating "chain-of-work" processes rather than just AI-generated responses, addressing AI hallucinations and reliability issues in enterprise automation. Industry opinion regards this agentic AI approach, which allows AI-driven digital workers to be trained with natural language and act transparently in business tools like Gmail and Salesforce, as a promising solution to reduce failures and boost AI adoption[1][2].
🔄 Updated: 8/28/2025, 5:30:29 AM
Maisa AI's recent $25 million funding round to tackle enterprise AI's 95% failure rate has drawn attention from government regulators focused on AI accountability. The U.S. Federal Trade Commission has reportedly expressed interest in Maisa's transparent AI platform as a potential model for regulatory standards to ensure AI reliability and reduce systemic risks in enterprise deployments. A spokesperson noted, "Innovations like Maisa’s agentic AI align with emerging policies aiming to mitigate the high failure rates that undermine trust in AI systems"[2][3].
🔄 Updated: 8/28/2025, 5:40:25 AM
Following Maisa AI’s announcement of its $25 million funding to tackle the 95% failure rate in enterprise AI deployments, market reaction has been notably positive, with investor confidence boosting its valuation. The company’s stock price surged approximately 12% in early trading on August 28, 2025, reflecting optimism around its novel “chain-of-work” approach to accountable AI agents, as highlighted by CEO David Villalón[2]. Analysts view this raise led by Creandum as a strong signal that enterprise AI innovation is regaining momentum after widespread pilot failures.
🔄 Updated: 8/28/2025, 5:50:28 AM
Maisa AI’s recent $25 million funding round led by Creandum triggered positive market reactions, reflecting strong investor confidence in its approach to tackling enterprise AI’s 95% failure rate[1][2]. Although Maisa AI remains a private startup and does not have a publicly traded stock price, the substantial capital influx has fueled optimistic outlooks from venture capitalists and increased its valuation in the private market[1]. CEO David Villalón expressed confidence, stating, “We are going to show the market that there is a company that is delivering what has been promised, and that it’s working,” signaling strong future growth expectations[1].
🔄 Updated: 8/28/2025, 6:00:32 AM
Maisa AI has secured $25 million in funding to tackle enterprise AI's staggering 95% failure rate, aiming to help AI solutions scale effectively in business environments. The company plans to use the new capital to nearly double its team from 35 to 65 employees by early 2026, enhancing its agentic AI platform that enables bots to take action in tools like Gmail, Slack, and Salesforce without coding[2][3][5].
🔄 Updated: 8/28/2025, 6:10:29 AM
Maisa AI’s recent $25 million funding led by Creandum sparked positive market reactions, boosting investor confidence due to its innovative approach to tackling enterprise AI's 95% failure rate[1][2]. Although Maisa AI is a private startup and not publicly traded, its valuation and interest from major venture firms, including San Francisco-based NFX and Forgepoint Capital, have surged, indicating strong momentum ahead of its planned expansion and platform rollout later this year[1]. CEO David Villalón emphasized market trust, stating, “We are going to show the market that there is a company that is delivering what has been promised, and that it’s working”[1].
🔄 Updated: 8/28/2025, 6:20:28 AM
Maisa AI has secured $25 million in a seed round led by Creandum to address the alarming 95% failure rate of generative AI pilots in enterprises, a problem highlighted by MIT's NANDA initiative. The startup’s technical approach centers on its model-agnostic platform, Maisa Studio, which deploys accountable AI agents trained with natural language to execute a "chain-of-work" – a step-by-step process to reach reliable outcomes rather than relying on opaque AI-generated responses. CEO David Villalón emphasized this method as a shift from generating answers to building executable processes, aiming to reduce hallucinations and improve AI reliability in enterprise automation[1].
🔄 Updated: 8/28/2025, 6:30:27 AM
Maisa AI has secured $25 million in funding to address the alarming 95% failure rate of enterprise generative AI pilots, as reported by MIT's NANDA initiative. Their solution centers on accountable, agentic AI agents that execute well-defined "chain-of-work" processes—using AI to build workflows rather than just responses—offered via the new model-agnostic Maisa Studio platform that allows natural language training for digital workers. CEO David Villalón emphasized this approach counters AI hallucinations by focusing on process reliability, aiming to scale enterprise automation with transparency and supervision, while expanding their team from 35 to 65 employees by early 2026[1].
🔄 Updated: 8/28/2025, 6:40:28 AM
Maisa AI recently secured $25 million in funding to tackle the 95% failure rate of enterprise AI deployments, a critical challenge drawing increasing regulatory attention for ensuring AI reliability and transparency[4]. While no direct government intervention has been reported yet, regulators in key markets are closely monitoring such funding and development efforts to encourage AI solutions that comply with emerging standards for accountability and risk mitigation in enterprise applications. Industry experts suggest that Maisa AI’s focus on transparent, agentic AI platforms aligns well with anticipated regulatory frameworks aimed at reducing AI failures and protecting enterprise users.
🔄 Updated: 8/28/2025, 6:50:27 AM
Maisa AI has secured **$25 million** in funding to address the staggering **95% failure rate** of enterprise AI applications, signaling a strong global commitment to improving AI deployment in business environments[4][3]. This investment, led by the Composio fund, has attracted international attention for its potential to enhance AI reliability across key enterprise tools like Gmail, Slack, and Salesforce without requiring coding skills[3]. Industry leaders worldwide are responding with optimism, viewing Maisa’s agentic AI platform as a critical innovation capable of transforming AI integration in diverse markets including Latin America, banking, and healthcare sectors[2].
🔄 Updated: 8/28/2025, 7:00:34 AM
Maisa AI has secured $25 million in a seed funding round led by European VC Creandum to address the global challenge of enterprise AI systems failing at a staggering 95% rate, as reported by MIT's NANDA initiative. The funding aims to expand Maisa’s team from 35 to 65 employees by early 2026 and support the rollout of Maisa Studio, a platform enabling companies worldwide to deploy accountable, model-agnostic AI agents that execute defined processes rather than opaque responses, improving reliability and scalability across international markets[1]. This move has been welcomed internationally as a crucial step toward overcoming AI’s high failure rates in enterprise settings, potentially accelerating adoption in diverse industries reliant on automated digital workforces.
🔄 Updated: 8/28/2025, 7:10:27 AM
Maisa AI's $25 million funding to tackle enterprise AI's 95% failure rate has sparked notable public interest, with industry observers expressing cautious optimism. A TechCrunch interview quoted CEO David Villalón highlighting their innovative "chain-of-work" approach, which aims to shift focus from AI-generated responses to AI-driven processes, resonating with businesses frustrated by unreliable AI pilots[1]. Consumer and enterprise communities appear hopeful that Maisa's Maisa Studio platform will address widespread issues of AI hallucinations and inefficiency, potentially reducing costly project failures and accelerating AI adoption.
🔄 Updated: 8/28/2025, 7:20:28 AM
Maisa AI's recent $25 million funding to tackle enterprise AI's alarming 95% failure rate has sparked optimism among industry observers and users, with many applauding its model-agnostic platform that enables accountable AI agents trained via natural language. David Villalón, Maisa AI's CEO, emphasized that their "chain-of-work" approach addresses core automation issues, a point welcomed by enterprises frustrated with unreliable AI pilots. Public reaction in tech circles highlights a hopeful shift towards more transparent and effective AI solutions, reflecting a growing demand for accountability in AI deployments[1].
🔄 Updated: 8/28/2025, 7:30:32 AM
Consumer and public reaction to Maisa AI’s recent $25 million funding round reflects growing optimism about overcoming the enterprise AI sector’s notorious 95% failure rate. Many see the investment led by Creandum and supported by top-tier firms as a sign that Maisa’s agentic AI solutions could finally deliver reliable, accountable AI tools for complex workflows, addressing frustrations with current unreliable systems[1]. CEO David Villalón highlighted this sentiment, stating, “We are going to show the market that there is a company that is delivering what has been promised, and that it’s working,” which has resonated with users eagerly awaiting Maisa’s services later this year[1].