Exactly.ai's Private Models Are Training on 40,000 Artists' Styles

The platform, which raised $4.3 million in 2024, offers a legal and stylistic counterpoint to the data-scraped image generators.

About Exactly.ai

Published

You upload a folder of your own illustrations, a dozen or so, each with your signature line weight and color palette. The interface asks for a few descriptive tags, not to train a world model, but to teach an algorithm the vocabulary of your personal visual language. A few hours later, you type a prompt,"a fox in a waistcoat, reading a map under a streetlamp",and the image that generates is, unmistakably, yours. It’s a new piece, but it carries the same stylistic DNA. For a professional illustrator, the feeling is less like using a tool and more like meeting a capable, eerily accurate apprentice.

This is the core transaction of Exactly.ai, a London-based generative AI platform built not on the scraped internet but on the private archives of working artists. Founded in 2022 by former journalist and serial entrepreneur Tonia Samsonova, the company has raised a $4.3 million seed round led by Speedinvest [Tech Funding News, May 2024]. Its reported user base grew from 30,000 registered artists at the time of that funding to 40,000 by 2025 [Aventure VC, May 2025]. The platform’s promise is straightforward: artists train a private AI model exclusively on their own artwork, generate new images in their personal style, and retain full legal and commercial ownership of everything,the training data, the model, and the outputs [Exactly.ai, retrieved 2024].

The wedge of ownership

In a market saturated with general-purpose image generators, Exactly.ai’s differentiation is legal and emotional as much as it is technical. Its primary competitors aren’t the Midjourneys of the world, but services like Second Founder and CoFounder.AI, which also cater to creators seeking more control. Exactly.ai’s wedge is the explicit guarantee of ownership, a direct response to the anxiety and copyright disputes that have shadowed AI art from its inception. The platform’s terms state that images, trained models, and generated images belong to the user [Exactly.ai, retrieved 2024]. This isn’t just a feature; it’s the product’s foundational premise, addressing what the company calls the challenges artists face with AI and copyright [Humans WithAI, retrieved 2026].

The workflow itself is designed for repetition and scale, targeting the commercial illustrator who needs to produce variations on a theme,different characters in the same storybook world, or multiple product mockups in a consistent brand style. The platform promises to cut long illustration turnaround times and remove repetitive tasks [exactly.ai, retrieved 2024]. For an artist licensing work to clients, the ability to generate a high-quality illustration in minutes, rather than days, represents a tangible economic advantage.

From newsrooms to neural networks

The founder’s path to this problem is unconventional. Tonia Samsonova began her career as a political journalist in Russia, serving as a senior editor and TV host before moving to London in 2013 [Sessionize, retrieved 2026]. Her entrepreneurial turn came with The Question, a news and opinion platform she founded in 2014 and later sold to Russian internet giant Yandex in an eight-figure exit [EU-Startups, May 2024]. That experience building and exiting a content marketplace seems to inform Exactly.ai’s evolving structure. The company has launched a model marketplace and plans to allow users to purchase rights to images created with other artists’ models, with the artists setting their own prices [exactly.ai, retrieved 2024].

This points to a broader ambition: to become not just a tool, but an economic layer for the creative middle class. The $4.3 million seed round, with participation from InReach Ventures and Cornerstone VC, is earmarked for product development and reaching more artists [Tech Funding News, May 2024]. The company is also hiring for roles like a Content and Partnerships Manager, signaling a push toward building a community and commercial network [Exactly.ai, retrieved 2024].

The traction and the terrain

The growth to 40,000 registered users suggests a product-market fit with a specific, professionally motivated audience. These aren’t casual hobbyists, but illustrators and designers seeking a repeatable AI workflow for graphic design work [exactly.ai, retrieved 2024]. The platform operates on a credit system and offers custom enterprise pricing, aiming to monetize both individual creators and larger studios [exactly.ai, retrieved 2024].

May 2024 | 30000 | Registered Users
May 2025 | 40000 | Registered Users

Yet, the path forward is lined with significant questions. The market for style-specific AI is becoming crowded, and the technical moat,proprietary training algorithms that work well with small datasets,must continually advance to stay ahead. Furthermore, the company’s next-phase bet on a creator marketplace introduces classic two-sided network challenges: it needs a critical mass of high-quality, commercially desirable models to attract buyers, and a reliable stream of buyers to incentivize artists to list their models.

The competitive pressures and execution risks are real, but Exactly.ai’s early positioning offers clear answers:

  • Legal clarity as a product. In a fuzzy regulatory environment, providing ironclad ownership terms is a powerful acquisition tool.
  • The workflow wedge. It solves the immediate, painful problem of production speed for commercial artists, giving it a utility beyond philosophical alignment.
  • Founder market fit. Samsonova’s experience building and exiting a content platform provides a relevant playbook for navigating community and marketplace dynamics.

The question in the output

Exactly.ai arrives at a moment when the creative industries are grappling with a fundamental tension. On one side is the democratizing power of generative AI, a tool of incredible speed and breadth. On the other is the erosion of the unique, the personal, the authored,the very qualities that define professional artistry. The platform’s implicit answer is to reject that binary. It suggests that an artist’s style is not just a aesthetic fingerprint but a defensible dataset, and that the future of creative work might involve a partnership between human intention and a machine intimately trained on a single human’s output.

The cultural question it’s answering isn’t merely “How can artists use AI?” It’s deeper: “Can a tool that mimics individuality actually reinforce it?” By giving artists a private mirror that reflects only their own work, Exactly.ai is betting that the answer is yes, and that there’s a sustainable business in proving it.

Sources

  1. [Exactly.ai, retrieved 2024] Company website | https://exactly.ai/
  2. [Tech Funding News, May 2024] Female-led London’s Exactly.ai snaps $4.3M to empower artists with AI-powered design creation | https://techfundingnews.com/female-led-londons-exactly-ai-snaps-4-3m-to-empower-artists-with-ai-powered-design-creation/
  3. [Aventure VC, May 2025] Exactly.ai secures $4M to help artists use AI to scale up their output | https://aventure.vc/news/exactly-ai-secures-4m-to-help-artists-use-ai-to-scale-up-their-output
  4. [EU-Startups, May 2024] London-based Exactly.ai raises €4 million to help artists communities monetise work at scale | https://www.eu-startups.com/2024/05/london-based-exactly-ai-raises-e4-million-to-help-artists-communities-monetise-work-at-scale/
  5. [Humans WithAI, retrieved 2026] Weaponising Creativity with Tonia Samsonova - Humans WithAI™ | https://withai.fm/episode/weaponising-creativity-with-tonia-samsonova
  6. [Sessionize, retrieved 2026] Tonia Samsonova's Speaker Profile @ Sessionize | https://sessionize.com/tonia-samsonova/

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