- Clueso Raises $10 Million To Turn Business Videos into Self-Updating Enterprise Assets
Clueso has raised $10 million in Series A funding to expand an artificial intelligence platform designed to create, edit and continuously update corporate videos, as businesses search for less expensive ways to produce growing volumes of training, marketing and customer-education content.
The financing round was led by Dharana Capital, with Founders Future and Neotribe Ventures participating as new investors. Existing backers Y Combinator and f7 Ventures also joined the round, taking Clueso’s total funding to $12 million.
More than 80 per cent of the new capital came from existing investors increasing their exposure to the company, according to Clueso. That concentration could be interpreted as a significant vote of confidence from investors already familiar with its product, performance and underlying economics.
The San Francisco-based company said its customer numbers had tripled over the past year, with more than 1,000 businesses now using the platform. It added that annual revenue was approaching eight figures, although it did not disclose an exact figure, its valuation or the terms attached to the investment.
Clueso’s customers include Atlassian, Zendesk, Gainsight, GlobalPartners, Seismic and Ironclad. Some clients have reported productivity improvements of more than five times and reductions of as much as 80 per cent in video-production costs.
Those figures have been supplied by the company and its customers rather than independently audited. Nevertheless, they point to the commercial problem Clueso is seeking to solve: businesses increasingly need video, but traditional production systems remain too slow and expensive to match the rate at which products, processes and employee needs change.
Much of the excitement around generative video has centred on systems capable of creating realistic scenes from written prompts. Clueso is taking a different approach.
Rather than asking artificial intelligence to invent a video from scratch, a business can give the platform access to its software, workflows, source documents and brand rules. Clueso’s agents can then navigate an actual product, execute the relevant processes and capture the footage needed to explain them.
The system can produce a script, voiceover, captions and motion graphics before combining the material into an edited video. Users retain access to a browser-based editor when human judgement or more detailed control is required.
This distinction is commercially important. Consumer-oriented AI video tools are largely judged by visual quality, originality and entertainment value. Enterprise video must satisfy a different set of conditions: factual accuracy, consistency, brand compliance, security and the ability to remain useful after the underlying product changes.
A beautifully generated video has limited value to a software company if the buttons, menus or processes it displays no longer match the product customers are using.
Clueso’s answer is to treat corporate videos as living operational assets rather than finished media files. When a workflow or product changes, its agents can repeat the process, capture updated footage and refresh the affected video.
That maintenance capability may ultimately prove more valuable than the original production automation. Businesses frequently accumulate libraries of tutorials, onboarding materials and internal training videos that become obsolete soon after publication. Updating them manually can require the same recording, scripting, editing and approval process used to produce the original content.
If Clueso can reliably identify changes and refresh materials without forcing teams to restart production, it could reduce not only the initial cost of creating video but also the longer-term cost of keeping organisational knowledge current.
Clueso was founded by Akash Anand, Prajwal Prakash and Neel Balar after they encountered the video-production problem at their previous company.
The founders initially focused on helping customer-facing teams produce software tutorials more quickly. They subsequently found that similar constraints affected marketing, sales, employee training, change management, internal documentation and operational communications.
“We quickly saw the same problem across marketing, sales, training and internal documentation,” Mr Anand, Clueso’s co-founder and chief executive, said.
“That made us realise the opportunity was much bigger. Today, Clueso acts as an AI video production team that anyone or any team in the organisation can rely on, handling the work of creating, editing and maintaining videos as the business moves.”
The company said customers typically begin by deploying Clueso in one department before widening its use across the organisation. This “land and expand” model is common among enterprise software companies because it allows a supplier to demonstrate value through a limited deployment before seeking larger company-wide contracts.
For Clueso, the model could produce strong revenue growth if individual users become departmental teams and departmental subscriptions develop into centralised enterprise relationships.
It could also create defensibility. Once a company has placed its brand standards, product knowledge, voice preferences, workflow instructions and video archive inside one platform, the operational cost of moving to a competitor may increase.
The challenge will be ensuring that centralisation does not create new governance problems. Videos used for external marketing and customer education may require different approval processes from internal training or compliance content. Large organisations will therefore need strong controls over who can create, publish, alter and localise material.
Garrett Marttinen, Head of Customer Learning at Atlassian, said Clueso had simplified the production of learning videos at scale by converting rough inputs into polished, on-brand content.
“They help us turn rough, scrappy input into polished, on-brand output, streamlining our workflows and dramatically reducing the burden of creation and maintenance for my team,” he said.
Zendesk is using the platform for internal and customer-facing content. Kevin Gross, its Senior Manager of Instructional Design, said Clueso had helped the company reduce production time and increase video output.
For companies, the economic attraction is clear. A system that reduces the time required to record screens, write scripts, generate narration, add graphics and update completed videos could allow relatively small teams to produce significantly more content.
The implications for creative and instructional work are more complicated.
Clueso says its long-term objective is to allow agents to manage production mechanics while people concentrate on creative decisions. In theory, this moves human labour towards higher-value work instead of removing it entirely.
In practice, a fivefold productivity gain changes staffing calculations. Some organisations may use the additional capacity to expand output. Others may decide that smaller teams can deliver their existing requirements.
The investment case therefore rests not only on whether Clueso improves productivity, but on whether businesses use those gains to communicate more effectively rather than merely reduce headcount.
Quality control will remain essential. An automated system can produce an inaccurate or misleading video more efficiently than a human team if it misunderstands a process. Companies operating in healthcare, finance, law and other regulated sectors will require strong human review before AI-produced material is published.
Vamsi Duvvuri, founder and managing partner at Dharana Capital, argued that enterprise video was evolving from a collection of static files into context-aware assets that could adapt as products and processes changed.
“Traditional video production was never designed for enterprise volume and velocity,” he said. “Clueso is building the infrastructure powering this shift.”
The word “infrastructure” is central to the company’s ambition. Clueso does not want to be regarded simply as another editing application. It wants its agents to sit between corporate knowledge systems and the video content consumed by employees, customers and prospective buyers.
Its integrations allow the platform to draw context from other company tools. Through Clueso’s Model Context Protocol connection, AI assistants including ChatGPT and Claude can create, edit and manage videos through the platform.
That could broaden distribution but also increase technical and security demands. An agent capable of navigating real company software needs access to potentially sensitive interfaces and information. Enterprise customers will expect strong assurances concerning permissions, data storage, isolation, audit trails and the prevention of unauthorised actions.
The company will use the new funding to expand its enterprise sales operations, strengthen its agentic technology, deepen its editing capabilities and connect more closely with systems containing product and organisational knowledge.
Clueso is entering a competitive market populated by conventional video-editing platforms, screen-recording tools, synthetic presenters and fast-improving generative-video systems.
Its strongest differentiator is therefore unlikely to be any single feature. Script generation, artificial voiceovers and automatic captions are already widely available. The more defensible proposition is the orchestration of the entire workflow: understanding the task, navigating the product, capturing accurate footage, applying company standards and maintaining the finished material.
Execution will determine whether that proposition survives contact with the complexity of large organisations.
Corporate workflows are frequently inconsistent, poorly documented and dependent on exceptions known only to experienced employees. Software interfaces can vary across accounts, languages and permission levels. A video that is correct for one user may be inaccurate for another.
Clueso must demonstrate that its agents can handle these variations without sacrificing the reliability enterprises demand.
Its Series A provides the capital to attempt that transition. The funding, expanding customer base and participation of established companies suggest that demand exists. But the larger opportunity is not simply producing cheaper videos.
It is converting business video from a costly, rapidly ageing media product into a maintained layer of corporate knowledge.
If Clueso succeeds, the most important innovation will not be that an agent can make a video. It will be that the video continues to explain the truth after the business beneath it has changed.
