# Clueso Raises $10M Series A to Automate Video Creation: 5 Things to Know

URL: https://technosports.co.in/clueso-raises-10m-series-a-ai-video-creation/  
Published: 2026-10-13  
Updated: 2026-10-13  
Author: Reetam Bodhak

An AI video startup has raised fresh funding. **Clueso** announced a **$10 million Series A** to automate video creation for companies, according to a post by its founder Akash Anand and a summary by Indian Tech & Infra on October 13, 2026. The company says more than 1,000 organisations already use it, including Atlassian, GitLab, Samsara, Legrand and Zendesk.

![](https://technosports.co.in/wp-content/uploads/2026/10/Cluesco-2.jpg)

## What Was Announced?

Akash Anand wrote that the company has raised a $10 million Series A to automate video creation for every company. Clueso uses AI agents to create, edit and automatically update professional videos at scale, for use in marketing, customer education and employee training. Read more about funding stages on the [Series A Wikipedia page](https://en.wikipedia.org/wiki/Series_A_round). We could not find the company’s official website listed in the posts, so check Clueso’s own channels for confirmation.

## Clueso at a Glance

| Item | Detail |
| --- | --- |
| Company | Clueso |
| Funding | $10 million Series A |
| Announced | October 13, 2026 |
| Product | AI agents that create, edit and update videos |
| Use cases | Marketing, customer education, employee training |
| Customers named | Atlassian, GitLab, Samsara, Legrand, Zendesk |
| Customer count | 1,000+ organisations (company claim) |
| Founder post | Akash Anand |

## Why Video Maintenance Is the Hook

Making a product video is one thing, but keeping it current as software changes is a constant chore. Clueso says it builds the future of enterprise video production from creation to maintenance, with AI agents that automatically update videos when products change. That pitch targets software companies, whose help videos go out of date every release. See related startup news on our [Series A funding](https://technosports.co.in/tag/series-a-funding/) page.

## Why It Matters

Companies produce far more video than they used to for onboarding, support and sales, and editing teams cannot keep up. AI video tools that handle the repetitive parts could save significant time. A $10 million round is modest next to the large AI rounds this year, but it signals investor interest in practical business tools, not only in big models.

## What Is Not Confirmed

These points are **not confirmed**:

- The lead investor and other backers, which the posts do not name.
- The company’s valuation.
- The claim of 1,000+ organisations, which is the company’s own figure.
- How the AI agents work and how accurate the updates are.
- Any plans for new markets such as India.

## Quick Answers

**How much did Clueso raise?** $10 million in a Series A.

**What does Clueso do?** Uses AI agents to create, edit and update videos.

**Who uses it?** The company names Atlassian, GitLab, Samsara, Legrand and Zendesk.

**Who invested?** Not stated in the posts.

## What to Watch Next

Look for the investor list, product updates and customer case studies. For buyers, the test is whether auto-updated videos stay accurate enough to publish without heavy manual review. Early customers with large software products will be the best indicator, because their help content changes constantly and mistakes would be quickly noticed. Pricing and integrations with documentation tools will also shape adoption.

Source: Post by Akash Anand (@realAkashAnand) quoted by Indian Tech & Infra (@IndianTechGuide) on X, October 13, 2026. Funding and customer details are the company’s own claims.

Enterprise video has a quiet cost that many teams overlook: every product update can make existing tutorials wrong. A support video showing an old button layout confuses customers and generates tickets, yet re-recording dozens of videos for each release is rarely a priority. Automating that upkeep is the real promise here, and it explains why large software companies are listed as customers. The proof will be in accuracy. Buyers should pilot the tool on a few real videos, check how it handles screen changes and voice, and confirm that a human can review changes before they go live.