AI Research
Year-old European startup Maisa named alongside Google and Amazon in elite list of leading AI agent vendors in top global US research reports by Gartner
Maisa, a rising star of enterprise AI, has been named by leading global research and advisory firm Gartner in its list of leading vendors for developing reliable AI agents.
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Maisa founders David Villalón and Manuel Romero
Inclusion in Gartner’s 2025 Hype Cycle for AI and Hype Cycle for the Future of Work marks the first time a Spanish startup has been mentioned in these influential reports.
The company, which is barely a year old and made its first raise of $5m+ from leading US investors last year, now finds itself named alongside global giants Amazon Web Services, Google, Salesforce and LangChain.
The Gartner Hype Cycle for AI Agents provides an overview of emerging technologies in AI, helping organizations navigate the evolving landscape of autonomous software agents.
The Hype Cycle for the Future of Work provides CIOs with a crucial human-first lens on the transformative AI advancements and disciplines required to ensure success at scale.
Maisa is one of two European businesses included in its field in the prestigious report. Its technology allows businesses to use agentic AI to create ‘digital workers’ who can undertake complex process automation tasks such as regulatory compliance, supply chain control and financial management. It has global clients in banking, automotive and energy.
Maisa is unique in the field because its technology is hallucination-resistant. Its workings are traceable and there is a fully auditable trail – what Maisa calls its ‘Chain of Work’ – meaning businesses can confidently deploy it in critical functions, knowing they can pinpoint exactly how the AI is functioning.
Maisa’s CEO and cofounder David Villalón:
“We are delighted to be the first Spanish company included by Gartner in its reports and one of only two European companies in the category of AI agents.
“We are especially pleased to be listed alongside global tech titans such as Google and Amazon.
“Our vision and achievements in empowering companies with autonomous, trustworthy AI agents drive real business value and set new standards for intelligent automation.”
The Gartner analysis highlights AI agents as rapidly maturing technology with a rare “high benefit” rating, but points out that there is only a 5% – 20% market penetration to date, implying huge market growth potential.
AI agents – defined as autonomous or semi-autonomous software entities capable of perceiving, deciding and acting to achieve goals – are set to revolutionise industries by automating complex tasks, enhancing decision-making and enabling new levels of workflow integration.
About Maisa: A Rising Star in Agentic AI
Its platform allows enterprises to create and manage AI-powered digital workers capable of automating complex, knowledge-intensive business processes with full transparency, traceability and reliability. It is simple to operate, fast to work and trustworthy.
Maisa is enabled by a method the company calls ‘HALP’ (human-augmented LLM processing), which is a fast, no code and enterprise ready way to train digital workers.
Instead of relying on massive datasets or manual programming, HALP enables digital workers to learn directly from real work inside organisations.
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AI Research
The new frontier of medical malpractice
Although the beginnings of modern artificial intelligence (AI) can be traced
as far back as 1956, modern generative AI, the most famous example of which is
arguably ChatGPT, only began emerging in 2019. For better or worse, the steady
rise of generative AI has increasingly impacted the medical field. At this time, AI has begun to advance in a way that creates
potential liability…
AI Research
Radiomics-Based Artificial Intelligence and Machine Learning Approach for the Diagnosis and Prognosis of Idiopathic Pulmonary Fibrosis: A Systematic Review – Cureus
AI Research
A Real-Time Look at How AI Is Reshaping Work : Information Sciences Institute
Artificial intelligence may take over some tasks and transform others, but one thing is certain: it’s reshaping the job market. Researchers at USC’s Information Sciences Institute (ISI) analyzed LinkedIn job postings and AI-related patent filings to measure which jobs are most exposed, and where those changes are happening first.
The project was led by ISI research assistant Eun Cheol Choi, working with students in a graduate-level USC Annenberg data science course taught by USC Viterbi Research Assistant Professor Luca Luceri. The team developed an “AI exposure” score to measure how closely each role is tied to current AI technologies. A high score suggests the job may be affected by automation, new tools, or shifts in how the work is done.
Which Industries Are Most Exposed to AI?
To understand how exposure shifted with new waves of innovation, the researchers compared patent data from before and after a major turning point. “We split the patent dataset into two parts, pre- and post-ChatGPT release, to see how job exposure scores changed in relation to fresh innovations,” Choi said. Released in late 2022, ChatGPT triggered a surge in generative AI development, investment, and patent filings.
Jobs in wholesale trade, transportation and warehousing, information, and manufacturing topped the list in both periods. Retail also showed high exposure early on, while healthcare and social assistance rose sharply after ChatGPT, likely due to new AI tools aimed at diagnostics, medical records, and clinical decision-making.
In contrast, education and real estate consistently showed low exposure, suggesting they are, at least for now, less likely to be reshaped by current AI technologies.
AI’s Reach Depends on the Role
AI exposure doesn’t just vary by industry, it also depends on the specific type of work. Jobs like software engineer and data scientist scored highest, since they involve building or deploying AI systems. Roles in manufacturing and repair, such as maintenance technician, also showed elevated exposure due to increased use of AI in automation and diagnostics.
At the other end of the spectrum, jobs like tax accountant, HR coordinator, and paralegal showed low exposure. They center on work that’s harder for AI to automate: nuanced reasoning, domain expertise, or dealing with people.
AI Exposure and Salary Don’t Always Move Together
The study also examined how AI exposure relates to pay. In general, jobs with higher exposure to current AI technologies were associated with higher salaries, likely reflecting the demand for new AI skills. That trend was strongest in the information sector, where software and data-related roles were both highly exposed and well compensated.
But in sectors like wholesale trade and transportation and warehousing, the opposite was true. Jobs with higher exposure in these industries tended to offer lower salaries, especially at the highest exposure levels. The researchers suggest this may signal the early effects of automation, where AI is starting to replace workers instead of augmenting them.
“In some industries, there may be synergy between workers and AI,” said Choi. “In others, it may point to competition or replacement.”
From Class Project to Ongoing Research
The contrast between industries where AI complements workers and those where it may replace them is something the team plans to investigate further. They hope to build on their framework by distinguishing between different types of impact — automation versus augmentation — and by tracking the emergence of new job categories driven by AI. “This kind of framework is exciting,” said Choi, “because it lets us capture those signals in real time.”
Luceri emphasized the value of hands-on research in the classroom: “It’s important to give students the chance to work on relevant and impactful problems where they can apply the theoretical tools they’ve learned to real-world data and questions,” he said. The paper, Mapping Labor Market Vulnerability in the Age of AI: Evidence from Job Postings and Patent Data, was co-authored by students Qingyu Cao, Qi Guan, Shengzhu Peng, and Po-Yuan Chen, and was presented at the 2025 International AAAI Conference on Web and Social Media (ICWSM), held June 23-26 in Copenhagen, Denmark.
Published on July 7th, 2025
Last updated on July 7th, 2025
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