Most AI video tools consider the job finished when a video is exported. Clueso is building around what happens afterward: the product changes, the screenshots become outdated, the training library falls behind and someone has to make the video again.
The Bengaluru-founded company has raised $10 million in Series A funding, led by Dharana Capital. Founders Future and Neotribe Ventures joined as new investors, while Y Combinator and f7 Ventures also participated. The round will fund enterprise go-to-market expansion, deeper agent capabilities and a broader editing stack. The financing brings Clueso’s total funding to $12 million.
Clueso was founded in 2023 by IIT Madras alumni Akash Anand, Prajwal Prakash and Neel Balar, following their earlier work on note-taking startup Desklamp. The company joined Y Combinator’s Winter 2023 batch and raised a $1.4 million Seed round in 2024, led by f7 Ventures with participation from Y Combinator.
The bigger shift is from creating a video to maintaining one
Clueso originally turned rough screen recordings into polished product videos and step-by-step documentation. Its current platform accepts screen recordings, documents, slides, screenshots or prompts, then handles scripting, AI voiceovers, captions, translation, motion graphics, branding and documentation. Every generated asset remains editable rather than becoming a fixed AI output.
The newer agent layer changes the workflow more substantially.
Clueso Agents can navigate a customer’s product, record the workflow, write the script, generate the voiceover and assemble the finished video. When a GitHub pull request is merged, Clueso can identify what changed, flag existing videos that may now be outdated and, after confirmation, record and edit replacements. Its August 2026 release extended that idea into self-updating product videos, where only affected screens need to be re-recorded instead of rebuilding an entire asset.
That makes Clueso closer to a content-maintenance system than a conventional AI editor.
A second layer opens the production engine to other agents. Clueso operates an MCP server and publishes 90 Video Skills that let supported tools including Claude, Cursor, Codex and Gemini CLI create or modify videos through Clueso. The MCP exposes projects, clips, motion elements, voiceovers and exporting, allowing video production to become another action inside a larger agent workflow.
Enterprise usage is beginning to test whether the model scales
More than 1,000 companies use Clueso, according to current funding coverage, with customers including Atlassian, Zendesk and Ironclad. Clueso’s own site says more than 1 million videos were created on the platform over the past six months.
Its published customer evidence shows why maintenance speed matters. Teamworks reports cutting production time from five hours to 30 minutes per video while increasing monthly output from five to 15. Fireflies.ai says it produces more than 30 product videos each month, while Movable Ink reports reducing product-education video production from two days to two hours. These are company-published customer results rather than independent benchmarks.
Clueso is also packaging the product for larger deployments. It lists SOC 2 Type II and ISO 27001 certification, SAML SSO and SCIM provisioning, and says customer content is not used to train its models. Pricing currently ranges from a free tier to $40 per month for Solo and $120 per month for Business when billed annually, with custom enterprise contracts.
The Series A therefore funds a more ambitious test than whether AI can edit video faster. Clueso is trying to make business video behave like software: generated from reusable rules, connected to releases, editable by agents and continuously updated when the underlying product changes.
