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Fusemachines Launches 9th Year of AI Fellowship Program, Expanding Access to AI Education for 100 AI Fellows

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Positive)
Tags
AI

Fusemachines (NASDAQ: FUSE) launched the 9th annual AI Fellowship Program on February 17, 2026, enrolling 100 fellows in a hybrid curriculum that combines the Fusemachines Online Education platform with onsite hands-on exercises.

Since 2017 the program has reached over 1,200 fellows across 12 countries, aiming to democratize AI education and build a global talent pipeline for the company and partner organizations.

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Positive

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Negative

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Key Figures

2026 AI fellows: 100 fellows Program duration: 9th year Program start year: 2017 +2 more
5 metrics
2026 AI fellows 100 fellows 2026 AI Fellowship Program cohort size
Program duration 9th year AI Fellowship Program operating history
Program start year 2017 AI Fellowship inception
Total fellows to date over 1,200 fellows Cumulative AI Fellowship participants since 2017
Countries covered 12 countries Geographic reach in emerging markets

Market Reality Check

Price: $1.61 Vol: Volume 97,918 is far belo...
low vol
$1.61 Last Close
Volume Volume 97,918 is far below the 20-day average of 10,942,054, indicating limited pre-news participation. low
Technical Shares at $1.61 are trading below the 200-day MA of $6.83 and remain 87.52% under the 52-week high of $12.90.

Previous AI Reports

2 past events · Latest: Feb 04 (Positive)
Same Type Pattern 2 events
Date Event Sentiment Move Catalyst
Feb 04 AI hiring tool launch Positive +0.0% Interview AI Agent began handling 100% of initial technical interviews.
Oct 30 AI reseller network Positive -15.5% Launch of global reseller network to expand AI Studio and AI Engines.
Pattern Detected

AI-tag announcements have shown mixed to negative reactions, with an average move of -7.75% across recent AI-focused releases.

Recent Company History

Over recent months, Fusemachines has emphasized AI-focused initiatives, including the Interview AI Agent in AI Studio on Feb 4, 2026 and the Global Reseller Network launch on Oct 30, 2025. These AI-tagged announcements produced muted to negative stock moves, with an average reaction of -7.75%. Today’s AI Fellowship expansion continues the company’s theme of combining enterprise AI solutions with AI education, extending a long-running program that also supports its broader growth strategy.

Historical Comparison

-7.8% avg move · Past AI-tag news for FUSE averaged a -7.75% move, showing that AI initiatives have not consistently ...
AI
-7.8%
Average Historical Move AI

Past AI-tag news for FUSE averaged a -7.75% move, showing that AI initiatives have not consistently translated into favorable short-term price reactions.

AI-tag history shows a progression from scaling AI distribution (Global Reseller Network) to deploying internal AI tools (Interview AI Agent), now complemented by expanding AI education via the long-running Fellowship Program.

Market Pulse Summary

This announcement highlights Fusemachines’ continued emphasis on AI education, with a 100-fellow 202...
Analysis

This announcement highlights Fusemachines’ continued emphasis on AI education, with a 100-fellow 2026 cohort and more than 1,200 fellows trained since 2017 across 12 countries. The hybrid format connects its AI-enabled learning platform with onsite training, reinforcing its positioning in both AI solutions and talent development. In context of prior AI-tag releases, investors may watch how effectively this program supports product adoption and long-term growth execution.

Key Terms

machine learning, generative AI, data science
3 terms
machine learning technical
"strong foundations in machine learning, generative AI, data science, and applied AI systems"
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
generative AI technical
"strong foundations in machine learning, generative AI, data science, and applied AI systems"
Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.
data science technical
"strong foundations in machine learning, generative AI, data science, and applied AI systems"
Data science uses tools from statistics and programming to collect, clean and analyze large amounts of information so people can spot patterns, test ideas and make predictions. For investors, it’s like turning a stack of receipts into a clear map: it helps identify sales trends, customer behavior and risks more quickly and reliably, so companies that apply data science can make decisions that affect revenue, costs and future value.

AI-generated analysis. Not financial advice.

NEW YORK, Feb. 17, 2026 (GLOBE NEWSWIRE) -- Fusemachines Inc. (“Fusemachines” or the “Company”) (NASDAQ: FUSE), a leading provider of enterprise artificial intelligence technologies, proudly announces the launch of the 9th year of its flagship AI Fellowship Program, welcoming a new cohort of 100 fellows from diverse backgrounds and geographies.

Now in its ninth year, the AI Fellowship Program continues to advance Fusemachines’ mission to democratize AI by expanding access to world-class artificial intelligence education and hands-on training. The 2026 cohort will participate in a hybrid learning experience that combines online instruction through the Fusemachines Online Education platform with immersive onsite exercises designed to reinforce practical, real-world AI application.

The program is structured to equip participants with strong foundations in machine learning, generative AI, data science, and applied AI systems, while also developing problem-solving skills through collaborative projects and industry-relevant case studies. The blended format enables broader participation while maintaining the rigor and experiential depth that the Fellowship has become known for.

Since its inception in 2017, the Fusemachines AI Fellowship Program has empowered over 1,200 fellows across 12 countries in emerging markets, advancing Fusemachines’ mission to make AI education accessible to all while providing an experienced funnel of talent to support FUSE's growth strategy. The program has nurtured a new generation of AI talent, with alumni now contributing across multiple departments at Fusemachines as well as at leading technology companies, innovative startups, research institutions, and public sector organizations worldwide.

“AI is advancing rapidly across industries and communities, but the opportunity to learn and lead in this field is still far from equal,” said Dr. Sameer Maskey, Founder and CEO of Fusemachines. “To build an inclusive AI-powered future, we must ensure that students in underserved communities, from rural America to emerging markets around the world, have the same opportunity to learn, build, and lead in AI. Our mission to democratize AI is rooted in the belief that talent is universal, but opportunity is not. Through the AI Fellowship Program, we are closing that gap and empowering the next generation of innovators.”

The hybrid structure of this year’s program reflects Fusemachines’ commitment to both scalability and impact. The online component, delivered via the Fusemachines’ AI-enabled learning platform, allows fellows to access high-quality instruction regardless of location. The onsite sessions provide intensive, hands-on exercises, mentorship, and collaborative learning experiences that deepen technical mastery and professional readiness.

Applications for future cohorts and partnership opportunities with universities, enterprises, and public institutions are welcomed as Fusemachines continues to scale its global AI education initiatives.


About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. To learn about Fusemachines, visit www.fusemachines.com.

Forward-Looking Statements
This press release contains “forward‑looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward‑looking statements include, among other things, statements regarding our strategy; plans and objectives of management; expected growth and market opportunities; our positioning for future periods, including 2026; anticipated product and technology development, including AI Studio and AI Engines; focused vertical expansion in retail and real estate sales and marketing initiatives; partnerships, reseller and systems integrator relationships; potential acquisitions and integration opportunities; operational milestones; customer adoption and anticipated enterprise ROI; responsible AI governance initiatives; and other future events or performance. Words such as “aim,” “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “seek,” “should,” “target,” “will,” “would,” and similar expressions are intended to identify forward‑looking statements.

Forward‑looking statements are based on our current expectations, estimates, assumptions, and projections and are not guarantees of future performance. Actual results may differ materially from those expressed or implied by these forward‑looking statements due to a number of risks and uncertainties, including, among others: our ability to execute our growth strategy in our target verticals; the pace of enterprise adoption of AI solutions and our ability to demonstrate customer ROI; our ability to attract, develop and retain partners, resellers and talent and to scale our sales and delivery organizations; our ability to develop, commercialize and enhance our AI platform and engines in a timely manner; competition and the evolving regulatory landscape for AI and data privacy; our ability to identify, complete and integrate acquisitions and to realize expected synergies; macroeconomic, geopolitical and industry conditions; our reliance on third‑party platforms, data, and infrastructure; cybersecurity, data protection and intellectual property risks; our ability to access and deploy capital efficiently; and the other risks and uncertainties set forth in our filings with the Securities and Exchange Commission (the “Commission”), including our Registration Statement on Form S-4 (File No. 333-283520) declared effective by the Commission on June 30, 2025, our Current Report on Form 8-K filed with the Commission on October 29, 2025 as amended on November 28, 2025, and subsequent filings.

You are cautioned not to place undue reliance on these forward‑looking statements. Any forward‑looking statement speaks only as of the date it is made, and we undertake no obligation to update any forward‑looking statements to reflect events or circumstances after the date of this presentation, except as required by law.

Media Contact:
pr@fusemachines.com
+1 347 212-5075

Investor Contact:
FUSE@gateway-grp.com
+1 949-574-3860


FAQ

What is the scope of Fusemachines' 2026 AI Fellowship Program (FUSE)?

The 2026 program enrolls 100 fellows in a hybrid learning model combining online and onsite training. According to Fusemachines, it covers machine learning, generative AI, data science, applied AI systems, collaborative projects, and industry case studies to strengthen practical skills.

How long has Fusemachines run the AI Fellowship and how many alumni exist?

The Fellowship began in 2017 and is now in its ninth year. According to Fusemachines, the program has empowered over 1,200 fellows across 12 countries, with alumni working across industry, startups, research, and the public sector.

What is the format and delivery method for Fusemachines' 2026 cohort?

The 2026 cohort uses a hybrid format with online instruction plus onsite immersive exercises. According to Fusemachines, the Fusemachines Online Education platform delivers scalable coursework while onsite sessions provide mentorship, hands-on labs, and collaborative real-world projects.

How does the AI Fellowship support Fusemachines' business strategy (FUSE)?

The Fellowship creates a talent pipeline to support company growth by training practitioners and leaders in AI. According to Fusemachines, alumni contribute internally and at partner organizations, aligning talent development with the company's mission to democratize AI.

Can universities and enterprises partner with Fusemachines for future Fellowship cohorts?

Yes—Fusemachines welcomes partnerships with universities, enterprises, and public institutions for future cohorts. According to Fusemachines, applications and collaboration opportunities are open as the company scales its global AI education initiatives and seeks broader participation.
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