NASDAQ: FUSE

Fusemachines Inc.

CIK 0002033383 · SIC 7373 · Computer Integrated Systems Design

Micro Revenue $8M Assets $3M as of Sep 6, 2026

Fusemachines is a leading provider of enterprise AI solutions, offering AI products including AI Studio, AI Engines, and AI Agents, along with supporting services to organizations across a wide range of industries. With more than a decade of experience, we help enterprises integrate AI into their… About this business →

Every 8-K is open in full. Other 10-Ks and 10-Qs show a 3-bullet preview. A free account reads 3 more full reports a month. Generating a report requires a verified account.

Sign up free

Want to see a complete report first? Today's free report (FPS 10-K) is open in full — no account needed.

8-K Filed Sep 15, 2026 · Period ending Sep 10, 2026

Summary not yet generated.

8-K Filed Sep 4, 2026 · Period ending Sep 1, 2026

Summary not yet generated.

Partner

Trade FUSE commission-free

Open an account, get a free stock.

Sign up

Investing involves risk. Free stock terms apply.

8-K Filed Aug 12, 2026 · Period ending Aug 11, 2026

Summary not yet generated.

424B3 Filed Aug 11, 2026

Fusemachines files prospectus for up to 9.5M primary shares via warrants and 26.5M secondary shares

4 material changes detected. Sign up free to read the summary.

8-K Filed Aug 7, 2026 · Period ending Aug 4, 2026

Summary not yet generated.

10-Q Filed Aug 7, 2026 · Period ending Jun 30, 2026

Summary not yet generated.

8-K Filed Aug 4, 2026 · Period ending Aug 2, 2026

Summary not yet generated.

424B3 Filed Aug 4, 2026

Fusemachines files prospectus for up to 9.49M primary shares via warrants and 26.55M secondary shares

4 material changes detected. Sign up free to read the summary.

8-K Filed Jul 24, 2026 · Period ending Jul 24, 2026

Summary not yet generated.

8-K Filed Jul 8, 2026 · Period ending Jul 7, 2026

Summary not yet generated.

8-K Filed Jul 2, 2026 · Period ending Jul 2, 2026

Summary not yet generated.

8-K Filed Jun 9, 2026 · Period ending Jun 9, 2026

Fusemachines shareholders narrowly approve 2M share equity plan expansion amid dilution concerns

3 material changes detected. Sign up free to read the summary.

8-K Filed Jun 1, 2026 · Period ending May 31, 2026

Fusemachines appoints AI researcher Julia Hirschberg to Board, names her Compensation chair

3 material changes detected. Sign up free to read the summary.

10-Q Filed May 15, 2026 · Period ending Mar 31, 2026 Red flag

revenue $1.9M, net income -$872,000. Fusemachines burns cash in Q1, faces Nasdaq delisting and going-concern doubt

5 material changes detected. Sign up free to read the summary.

S-1/A Filed Apr 27, 2026 Red flag

Fusemachines S-1/A: Offering size jumps to 11.4M shares; prepaid forward terms reset weekly

4 material changes detected. Sign up free to read the summary.

S-1 Filed Apr 21, 2026

Summary not yet generated.

8-K Filed Apr 17, 2026 · Period ending Apr 17, 2026

Fusemachines secures $20M equity facility with Roth, shares to sell at 3-5% discount to market

5 material changes detected. Sign up free to read the summary.

8-K Filed Apr 2, 2026 · Period ending Mar 27, 2026 Red flag

Fusemachines receives Nasdaq delisting warning for falling below $50M market value threshold

3 material changes detected. Sign up free to read the summary.

424B3 Filed Mar 30, 2026

Summary not yet generated.

10-K Filed Mar 27, 2026 · Period ending Dec 31, 2025 Red flag

revenue $7.7M, net income -$928,000. Fusemachines debuts as public AI company with going concern warning, control failures

5 material changes detected. Sign up free to read the summary.

S-1/A Filed Jan 30, 2026

Summary not yet generated.

S-1/A Filed Jan 13, 2026

Summary not yet generated.

S-1 Filed Dec 22, 2025

Summary not yet generated.

10-Q Filed Nov 28, 2025 · Period ending Sep 30, 2025

Summary not yet generated.

424B3 Filed Jul 3, 2025 Red flag

Fusemachines to go public via CSLM Acquisition Corp. merger; terms not yet priced

6 material changes detected. Sign up free to read the summary.

Latest financial statements

From 10-Q filed Aug 7, 2026 (period ending Jun 30, 2026). As printed on the EDGAR/iXBRL face — not generated by the model.

As filed

Statements of Operations and Comprehensive Loss (Unaudited)

(all amounts in USD, in thousands, except number of shares and per share data)

Description Three Month ended, June 30 2026 (Unaudited) Three Month ended, June 30 2025 (Unaudited) Six Month ended, June 30 2026 Six Month ended, June 30 2025
Revenue 1,794 2,034 3,673 3,987
Cost of revenue (831) (828) (1,762) (1,692)
Gross Profit 963 1,206 1,911 2,295
Operating expenses:
Selling and marketing 383 333 795 641
General and administrative 2,978 1,566 6,251 3,499
Research and development 292 159 590 324
Total operating expenses 3,653 2,058 7,636 4,464
Loss from operations (2,690) (852) (5,725) (2,169)
Other (expense) income:
Interest expense (52) (73) (106) (139)
Loss on extinguishment of convertible notes payable - - - (391)
Gain on extinguishment of payable 8 - 507 -
Gain/(loss) on change in fair value of convertible notes and warrant liability (10) (2,860) 49 (1,344)
Gain/(loss) on change in fair value of forward purchase derivative liability 20 - 1,608 -
Other (expense) income (125) (1) (50) 4
Total other (expense)/income, net (159) (2,934) 2,008 (1,870)
Loss before income taxes (2,849) (3,786) (3,717) (4,039)
Provision for income tax - - (4) -
Net loss (2,849) (3,786) (3,721) (4,039)
Deemed dividend related to Shortfall Warrants modification - - (84) -
Net loss attributable to common stockholders (i) (2,849) (3,786) (3,805) (4,039)
Weighted-average common shares outstanding basic and diluted (ii) 28,965,344 7,270,964 28,952,133 7,270,964
Net loss per common share basic and diluted (i/ii) (0.10) (0.52) (0.13) (0.56)
Comprehensive income (loss)
Net loss (2,849) (3,786) (3,721) (4,039)
Change in foreign currency translation adjustment - 9 -
Total comprehensive loss (2,849) (3,786) (3,712) (4,039)

Balance Sheets

(all amounts in USD, in thousands, except number of shares and per share data)

Description June 30, 2026 (Unaudited) December 31, 2025
Assets
Current assets:
Cash and cash equivalents 368 4,221
Accounts receivable, net 1,134 1,264
Unbilled revenue 16 16
Prepaid expenses and other current assets 469 753
Total current assets 1,987 6,254
Property and equipment, net 270 305
Intangible assets, net 226 206
Deferred tax assets 11 11
Operating lease right-of-use assets 664 744
Other assets 14 16
Total assets 3,172 7,536
Liabilities and stockholders’ deficit
Current liabilities:
Accounts payable 5,173 5,012
Accrued expenses and other current liabilities 4,972 4,618
Related party loan payable 300 300
Operating lease liability, current 89 85
Forward purchase derivative liability 8,084 9,692
Short term debt 119 342
Total current liabilities 18,737 20,049
Accounts payable non-current - 143
Warrant liability 72 121
Cumulative mandatorily redeemable common and preferred stock liability 1,050 1,048
Operating lease liability 667 751
Total liabilities 20,526 22,112
Commitments and Contingencies
Stockholder’s deficit:
Convertible preferred stock ($0.0001 par value, 5,000,000 shares authorized as of June 30, 2026 and December 31, 2025, respectively; Nil shares issued as of June 30, 2026 and December 31, 2025, respectively ; Nil shares outstanding as of June 30, 2026 and December 31, 2025) - -
Common stock ($0.0001 par value, 500,000,000 shares authorized as of June 30,2026 and December 31, 2025; 28,985,302 shares and 28,938,266 shares issued and outstanding as of June 30,2026 and December 31, 2025 respectively) 3 3
Additional paid in capital 32,329 31,311
Share subscription receivable (11,005) (11,005)
Accumulated deficit (38,950) (35,145)
Accumulated other comprehensive income 269 260
Total stockholders’ deficit (17,354) (14,576)
Total liabilities and stockholders’ deficit 3,172 7,536

Statements of Cash Flows (Unaudited)

(all amounts in USD, in thousands)

Description Six months ended June 30, 2026 (unaudited) Six months ended June 30, 2025
Cash flows from operating activities
Net Loss (3,721) (4,039)
Adjustments to reconcile net loss to net cash used in operating activities:
Depreciation of property and equipment 50 50
Amortization of intangible assets 67 42
Provision for credit losses (44) 61
Stock-based compensation 878 118
Amortization of right-of-use assets 43 43
Changes in fair value of convertible notes at fair value and warrant liability (49) 1,344
Change in fair value of forward purchase derivative liability (1,608) -
Accretion of cumulative mandatorily redeemable common and preferred stock liability 55 47
Loss on extinguishment of convertible notes payable - 391
Gain on extinguishment of payable (507) -
Unrealized foreign exchange gain/(loss) - (1)
Changes in operating assets and liabilities:
Accounts receivable, current, net 109 285
Unbilled revenue (16) 1
Prepaid expenses and other current assets 289 37
Accounts receivable, net - 4
Other assets 1 (6)
Accounts payable 550 1,589
Operating lease liabilities (39) (34)
Accrued expenses and other current liabilities 431 (27)
Deferred revenue - (54)
Net cash used in operating activities (3,511) (149)
Cash flows from investing activities
Costs capitalized for internally developed software (88) (54)
Purchases of property and equipment (27) (6)
Net cash used in investing activities (115) (60)
Cash flows from financing activities
Proceeds from convertible notes payable - 180
Payment of premium financing obligation (251) -
Proceeds from premium financing obligation 28 -
Net cash (used in) / provided by financing activities (223) 180
Effect of exchange rate changes on cash and cash equivalents (4) -
Net change in cash and cash equivalents (3,853) (29)
Cash and cash equivalents at beginning of the period 4,221 500
Cash and cash equivalents at end of the period 368 471
Supplemental disclosures of cash flow information
Cash paid for income taxes 19 15
Interest paid on the short-term debt (premium financing) 8 -
Non-cash investing and financing activities:
Deemed dividend related to shortfall warrant modification 84 -
Unpaid deferred transaction costs as of the end of the period - 364
Waiver of deferred transaction costs as of the end of the period - 505
Issuance of shares vested upon repayment and forgiveness of 2023 Promissory Notes - 3
(Loss)/Gain on extinguishment of debt - (391)
Common Stock issued upon cashless exercise of stock options 39 -

Amounts as printed on the EDGAR/iXBRL face — (all amounts in USD, in thousands, except number of shares and per share data); (all amounts in USD, in thousands). Labels, columns, and figures are the filing face, not a GAAP stencil. Interactive statements & notes on EDGAR ↗

About Fusemachines Inc.

Source: Item 1 (Business) from the 10-K filed March 27, 2026. Description as filed by the company with the SEC.

Item
1. Business.

Fusemachines
is a leading provider of enterprise AI solutions, offering AI products including AI Studio, AI Engines, and AI Agents, along with supporting
services to organizations across a wide range of industries. With more than a decade of experience, we help enterprises integrate AI
into their operations to improve efficiency, reduce costs, and drive innovation. Our products and services are uniquely supported by
a global talent pool largely sourced from underserved communities, enabling us to deliver high quality AI solutions at scale while advancing
our mission of democratizing access to AI.

Our
diverse client base spans industries including consumer brands, healthcare, media, technology, government, and others. These clients
use our AI solutions to address critical business challenges such as improving sales forecasting accuracy, eliminating manual data entry
errors, automating recruitment processes, and detecting fraud in real time. Our focus on delivering measurable business outcomes has
enabled us to build long-term relationships with our clients and position Fusemachines as a partner in their AI driven transformation
efforts.

In
addition to our enterprise AI solutions, we are committed to education and talent development. Our AI training programs, including our
AI Fellowship Program, are designed to upskill students and professionals by providing hands-on experience with real world AI applications.
To date, we have certified hundreds of AI Fellows across the United States, Nepal, and the Dominican Republic. These programs help expand
the global AI talent pool and address the growing shortage of skilled AI professionals.

Read full description ↓

AI
Solutions

At
Fusemachines, we develop industry focused and problem specific AI solutions that combine software products with implementation services
to address complex business challenges. Our core platform, AI Studio, enables experimentation, model training, deployment, and lifecycle
management of AI systems. Built on top of AI Studio, AI Engines provide specialized AI capabilities for targeted use cases such as fraud
detection in food and beverage transactions or information extraction from loan documents. We also offer AI Agents that can assist with
or automate operational tasks such as interviewing candidates during the hiring process.

Our
services complement these products and include activities such as customizing and fine tuning models, integrating AI systems into existing
enterprise workflows, and developing bespoke solutions tailored to specific client needs. Clients can choose to engage with Fusemachines
through software, services, or a combination of both depending on their requirements.

Products

Our
product suite consists of our platform AI Studio, outcome-specific AI Engines, and advanced interactive AI Agents, designed to help organizations
build, deploy, and operationalize AI solutions at scale.

AI
Studio

AI
Studio is the foundational platform that powers Fusemachines’ AI solutions, enabling organizations to build, deploy, and manage
AI applications at scale. By providing a unified environment for data scientists, engineers, and business teams, AI Studio simplifies
the process of developing and operationalizing AI solutions.

AI
Studio is structured into four integrated layers that enable organizations to operationalize AI solutions efficiently. The Business Layer
sits at the top and contains the business applications, workflows, and AI-powered use cases that organizations deploy to support decision-making
and operations. Beneath it, the AI Hub provides the environment for developing, integrating, and managing AI models, engines, and agents
that power these applications. The Data Layer connects and organizes enterprise data from various sources, enabling AI systems to access
and process both structured and unstructured data. Supporting all layers is the Governance Layer, which ensures secure deployment, monitoring,
compliance, and lifecycle management of AI systems across the platform.

AI
Engines

AI
Engines are specialized AI software solutions built on top of AI Studio that are designed to deliver industry- and pain point–specific
outcomes. Each engine focuses on solving targeted business challenges within particular domains by leveraging advanced AI technologies
such as large language models (LLMs), computer vision, machine learning, and deep learning. By addressing clearly defined operational
problems, AI Engines enable organizations to automate processes, improve efficiency, and generate actionable insights that directly support
business objectives. For example, AI Engines can be used to extract information from complex documents, generate accurate answers and
summaries from large datasets, or detect suspicious activities and patterns in financial transactions at retail outlets. By combining
technologies such as document understanding, Retrieval Augmented Generation (RAG), and predictive analytics, these engines enable organizations
to automate workflows, improve operational efficiency, and gain deeper insights from their data.

AI
Engines are designed to be highly customizable and adaptable to the needs of different industries such as finance, legal, healthcare,
and enterprise operations. They can operate within a customer’s existing infrastructure while maintaining strong data security,
governance, and access control.

AI
Agents

AI
Agents are intelligent systems built on top of AI Engines and AI Studio that automate complex workflows and interact with users or systems
to accomplish specific tasks. These agents combine capabilities such as reasoning, retrieval, API execution, data processing, and decision
support, enabling organizations to deploy AI systems that actively assist employees and customers in real-time operations.

For
instance, an AI Agent designed for recruitment can act as an interview assistant, assisting recruiters by asking role-specific questions
and evaluating responses. The agent can analyze candidate answers, generate summaries of strengths and areas for improvement, and produce
standardized evaluation reports for hiring teams. By automating parts of the interview and evaluation process, such agents help organizations
streamline hiring workflows, improve consistency in candidate assessments, and reduce manual effort for recruiters and hiring managers.

Services

Our
services are delivered by Forward Deployed Engineers (FDEs) who work closely with customer teams to design, implement, and operationalize
AI solutions built on top of AI Studio. These services provide hands-on support for organizations that require deeper technical collaboration
to successfully deploy AI within their environments. Leveraging the capabilities of AI Studio, our teams help customers customize and
deploy AI Engines, integrate AI into existing systems, and develop bespoke solutions that address complex challenges across AI, data,
and software systems.

1

Customization,
Model Tuning, and Deployment:

We
assist clients in customizing our AI Engines or AI Agents to meet their specific needs. This includes fine-tuning models, configuring
workflows, and deploying solutions through AI Studio. Our teams also support the integration of these engines and agents into the client’s
existing business workflows, data pipelines, and enterprise systems to ensure seamless operation and alignment with business objectives.

Bespoke
AI Solutions:

For
organizations with specific requirements where existing AI Engines may not fully address their needs, we develop custom AI Engines and
AI Agents tailored to their specific business challenges. This may involve designing new models, building specialized AI capabilities,
and integrating them with enterprise data systems and workflows to deliver solutions that align closely with the client’s operational
requirements.

To
manage these engagements at scale, we developed Squadery, an internal platform that supports multiple teams within Fusemachines. Squadery
centralizes operational data from various sources including our CRM and HR systems to streamline project management, resource allocation,
and delivery coordination across service engagements.

Intellectual
Property

Intellectual
property (IP) is a critical asset for Fusemachines, and we take significant measures to protect our innovations. Our IP portfolio includes
patents, trademarks, copyrights, and trade secrets, all of which are designed to safeguard our technology and maintain our competitive
edge.

●Patent
Portfolio: As of December 31, 2025, Fusemachines holds 8 patent applications. These
patents cover a range of technologies that are central to our AI solutions, and we continue
to pursue additional IP protection as we develop new products and solutions.

●IP
Strategy: We rely on a combination of IP protection strategies, including license
agreements, intellectual property assignment agreements, confidentiality agreements, and
non-disclosure agreements. These measures help us secure our intellectual property rights
and ensure that they are respected globally.

For
more information, please see “Risk Factors – Risks Related to Business, Industry, and Operations”.

Competition
and Market Opportunity

Competition

The
AI and digital transformation landscape is highly competitive, with a wide range of players offering various solutions. Fusemachines
faces competition from several sources, including:


Corporate
IT organizations that develop internal AI solutions.


Commercial
enterprise and point solution software providers that offer specialized AI tools.


Open-source
software platforms with data management, machine learning, and analytics capabilities.


Public
cloud providers offering discrete tools and microsolutions for AI and analytics.


System
integrators that provide custom software solutions tailored to specific business needs.

Market
Opportunity

The
global AI market is set for substantial growth, with the global AI market itself is expected to reach nearly $1.4 trillion by 2029, and
the AI software segment is anticipated to generate around $791.5 billion in revenue by 2025. However, this expansion is challenged by
a global shortage of AI talent, with 63% of businesses citing AI and machine learning as their biggest skills gap.

We
believe we are well-positioned to capitalize on this market opportunity. With over a decade of experience in developing AI solutions,
we have gained valuable insights into addressing customer challenges. Our solutions, including AI Studio and AI Engines, along with our
comprehensive AI services, allow us to provide highly specialized and problem-specific solutions that deliver substantial ROI. Moreover,
our AI talent development programs, such as the AI Fellowship program, support our ability to cultivate skilled talent as needed, fueling
our growth and helping us capture a significant share of the market in the years ahead.

Our
Corporate History

We
were originally organized as CSLM Acquisition Corp. (“CSLM”), a Cayman Islands exempted company. CSLM was formed as a special
purpose acquisition company for the purpose of effecting a merger, capital stock exchange, asset acquisition, stock purchase, reorganization
or similar business combination with one or more businesses. CSLM closed its IPO (the “CSLM IPO”) in January 2022, generating
gross proceeds of $189,750,000.

2

On
January 22, 2024, CSLM, entered into a business combination agreement, as amended on August 27, 2024, by and among CSLM, CSLM Merger Sub, Inc., a Delaware
corporation and a direct, wholly-owned subsidiary of CSLM (“Merger Sub”), Fusemachines Inc., a Delaware company (“Legacy
Fusemachines”), and CSLM Holdings, Inc. (“CSLM Holdings”) (as amended, the “Business Combination Agreement”).

On
October 22, 2025, (a) CSLM merged with and into CSLM Holdings, at which time the separate existence of CSLM ceased and CSLM Holdings
became the surviving corporation (the “Company” or “Fusemachines”) (such transactions, the “Business
Combination”). In connection with the Business Combination, the Company was renamed “Fusemachines Inc.”
and Legacy Fusemachines was renamed “Fusemachines USA, Inc.”

Available
Information

Our principal offices are located at 251 West 30th Street, 5th Floor, New
York, New York 10001. We also maintain a website at www.fusemachines.com and https://ir.fusemachines.com/, where additional information
about our company and solutions can be found. Information contained on or that can be accessed through our website is neither a part of,
nor incorporated by reference into, this Annual Report on Form 10-K, and you should not consider information on our website to be part
of this Annual Report on Form 10-K.

Human
Capital

As of December 31, 2025, we had more
than 270 full-time employees. As of December 31, 2025, none of our employees were represented by
labor unions or covered by collective bargaining agreements. We consider our relationship with our employees to be good. We
emphasize several measures and objectives in managing our human capital assets, including, among others, (i) employee safety and
wellness, (ii) talent acquisition and retention, (iii) employee engagement, development, and training, (iv) diversity and inclusion
and (v) compensation. These targeted ideals may include annual bonuses, stock-based compensation awards, a 401(k) plan., healthcare,
and insurance benefits, health savings and flexible spending accounts, paid time off, family leave, family care resources, and/or
employee assistance programs. We also provide our employees with access to various innovative, flexible, and convenient health and
wellness programs. We designed these programs to support employees’ physical and mental health by providing tools and
resources to improve or maintain their health status and encourage engagement in healthy behaviors.