Imaginario.ai
Techstars '22London, GB · Founded 2022 · Delaware corporation · 10 employees on LinkedIn · 2 known investors
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Imaginario AI develops AI systems to understand and analyze video content, enabling automated video clip creation, searchable video libraries, and multimodal recommendation algorithms. The platform serves media companies and video content platforms seeking alternatives to manual tagging and improved content discovery.
Also known as Imaginario · Imaginario AI
Founders & leadership
Imaginario.ai was founded in 2022 by Jose M. Puga, Jose Miguel Puga Vecco, and Abdelhak Mahmoud Loukkal.


Investors · 2
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
Reported raises · per SEC filings
Form D private placements$204.9K disclosed across 3 rounds · 2022–2023
▶$84.9KraisedMar 2023 · 1 investors · Other TechnologyRule 506(b)
- Jose Miguel Puga VeccoExecutive Officer, Director
- Abdelhak Mahmoud LoukkalDirector
- Offering amount
- $500K
- Amount sold
- $84.9K
- Minimum investment
- $5K
- First sale
- Mar 2023
- Incorporated
- Corporation, Delaware, 2022
- Federal exemptions
- 06b
▶$20KraisedOct 2022 · 1 investors · Other TechnologyRule 506(b)
- Jose Miguel Puga VeccoExecutive Officer, Director
- Abdelhak Mahmoud LoukkalDirector
- Offering amount
- $20K
- Amount sold
- $20K
- First sale
- Oct 2022
- Incorporated
- Corporation, Delaware, 2022
- Federal exemptions
- 06b
▶$100KraisedOct 2022 · 2 investors · Other TechnologyRule 506(b)
- Jose Miguel Puga VeccoExecutive Officer, Director
- Abdelhak Mahmoud LoukkalDirector
- Offering amount
- $100K
- Amount sold
- $100K
- First sale
- Oct 2022
- Incorporated
- Corporation, Delaware, 2022
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Sep 2026Imaginario AI is a video intelligence platform aimed at marketing and post-production teams that work from large and growing video libraries. The system indexes footage where it already resides — cloud storage such as Amazon S3, Google Drive, Dropbox, Box, Backblaze, Wasabi, Frame.io and SharePoint, and MAM/DAM systems such as Iconik and CatDV — and returns search results as timestamped shots rather than whole files. Search covers what is said, shown and heard, with transcripts in more than 100 languages, natural-language querying of a library, image-based search, and metadata written back into the customer's own fields and taxonomy.
Beyond retrieval, the platform performs shot-level analysis across roughly 15 or more understanding layers, including person identification, celebrity recognition, facial expressions and emotions, actions, locations, objects, brands, sound effects, speech, scene context and descriptions, chapters, summaries, keywords, auto clipping, shot detection, auto tracking, transcriptions and captions, plus newer outputs covering audiovisual language, moods, narrative structure and beat analysis, and compliance flags for overlays, title cards, logo bugs and black screens. People and face search lets teams register talent, executives and hosts once and then locate every second they appear across subsequent uploads, including speaker identification.
StoryLab is the platform's agent layer: from a brief, and from one or many source videos, it proposes clips, assembles rough cuts and highlight sets, reframes them per platform, adds animated captions, and either publishes to social channels in one click or exports a timecoded sequence to Adobe Premiere Pro, DaVinci Resolve or Avid Media Composer. The same capabilities are offered through a REST API with webhook callbacks and, per the company, a forthcoming MCP connector for Claude, ChatGPT, Gemini and Copilot. The company states that customer content is not used to train its models, and that the platform is TPN Gold assessed with encryption in transit and at rest, alongside SSO and two-factor authentication.
Business model
Imaginario sells software-as-a-service to teams rather than infrastructure to engineers. The platform product is priced per power user with additional search and comment seats, and enterprise team plans are sold as a flat annual price instead of per minute of video. A separate API/MCP offering is sold to developers and priced by volume of video analyzed, per minute or per hour, with customers selecting which of the 15+ AI models they need and volume discounts available from 100 hours of video. Enterprise engagements can include custom models trained on customer footage, outputs mapped to the customer's editorial taxonomy, dedicated servers and instances, premium SLA and 1:1 training.
Recurring subscription revenue from per-power-user seats starting at $89 per user per month with AI included, unlimited search and comment seats on enterprise packages, and flat annual team pricing; plus usage-based revenue from the API and MCP offering, charged per minute or hour of video analyzed according to which AI models the client selects, with volume discounts starting at 100 hours of video.
Traction
The company states that hundreds of marketing and editing teams use the product, and publishes customer-reported outcomes including roughly 70% less time spent searching and clipping for social media compilations and highlights, and a 50%+ reduction in multi-platform editing time at Universal Pictures. Testimonials come from Universal Pictures Home Entertainment, Cineverse and Formula Done. Third-party data lists 2 employees as of February 2024 and a headcount band of 1-10, with pre-seed stage classification.
Latest developments
Recent additions described by the company include StoryLab agents that assemble rough cuts, highlights and platform-specific social versions with one-click publishing; people and face search with speaker identification and public-figure recognition; a new analysis layer covering audiovisual language, moods, narrative structure and beat analysis, and compliance flags for overlays, title cards, logo bugs and black screens; 32 integrations across NLEs, cloud storage and MAM/DAM systems; and an MCP connector for Claude, ChatGPT, Gemini and Copilot described as coming soon with beta users already being accepted.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Imaginario operates in AI video search, understanding and automated editing, competing with or being compared to video indexing APIs and video AI platforms including Twelve Labs, Clipr, Cloverleaf AI, Reflexion AI, edgetrace, Sensifai, Kino AI and Sieve, as well as cloud indexing services such as AWS. It is an early-stage company: third-party listings classify it as pre-seed with 1-10 employees. The company says it is used by studios, broadcasters, corporate video teams, universities and nonprofits, and cites named users including Universal Pictures Home Entertainment, Cineverse and Formula Done.
The company positions itself against video indexing APIs such as Twelve Labs and AWS by arguing that an API returns metadata to engineers while Imaginario is the application the creative team works in, combining search, people search, collections, StoryLab and editor export on flat team pricing rather than per-minute-of-video pricing. Other stated points of difference are that footage does not have to be moved and MAM or DAM systems do not have to be replaced, that metadata is written back bidirectionally into the customer's existing fields, that analysis goes beyond tagging to shot-level interpretation of speakers, dialogue, on-screen content, mood and narrative structure, and that enterprise customers can get custom models trained on their own footage and mapped to their own vocabulary.
Technology
The platform uses multimodal AI to index video across visuals, sound and speech without relying on pre-existing time-based metadata, making libraries searchable down to scene and shot level. It combines a dual engine of semantic retrieval and structured metadata, supports image-based search and clip extraction with timecodes, and applies 15 or more analysis models per video covering vision, faces, actions, audio, speech and OCR. Delivery options include a cloud and hybrid on-device application, a REST API with webhook callbacks, and a planned MCP server. Enterprise deployments can use private models trained on customer data and taxonomy with dedicated servers and instances, and the company states it does not train models on customer content.
Go-to-market
Go-to-market is demo-led and sales-assisted: the site's primary calls to action are requesting a demo and booking a demo, with a 7-day free trial offered to qualified teams covering up to 10 hours of video or 50 clips and any number of users, typically set up with footage resembling the prospect's own material. Quotes are tailored to footage volume and contract size. The company also reaches developers through its API and a planned MCP connector, and gained early enterprise exposure through the Comcast NBCUniversal LIFT Labs Accelerator; it also appears in AI tool directories.
Marketing and post-production teams that cut from growing video libraries, including studios, broadcasters, corporate video teams, universities and nonprofits, as well as content creators, marketers and developers building on the API. Named users cited by the company include Universal Pictures Home Entertainment, Cineverse and Formula Done, plus an unnamed multinational media and entertainment company.
Geography
Locations associated with the company include Kings Cross and Mile End in London and elsewhere in England and the United Kingdom, plus Philadelphia, Pennsylvania in the United States. One company-research listing records a headquarters in Dover, Delaware, US. The product supports more than 100 languages and dialects for speech search, captions, transcripts and translations.
History
The company was founded in 2022 and took part in the Comcast NBCUniversal LIFT Labs Accelerator powered by Techstars that same year, where it was listed with founder Jose Puga in London. At that stage it was described as a tool to search scenes inside long videos and prepare clips, including shortening clips, adding logos and color palettes and generating sketches for ideation. It appeared in the Future Tools directory from February 2024, and had 2 employees as of early February 2024. The product has since been positioned as a broader video intelligence application for marketing and post-production teams, adding people and face search, the StoryLab agent layer for automated rough cuts, NLE timeline exports and an MCP connector for assistants such as Claude, ChatGPT, Gemini and Copilot announced as coming soon.
Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
2 people who came through Imaginario.ai went on to found or lead other companies.
Related companies · 9
Companies working in the same space as Imaginario.ai.
Timeline · 3
launches, deals, and filingsImaginario.ai added to the Future Tools AI tool directory in the Video Editing category, described as a paid tool with an available API.
Imaginario participated in the Comcast NBCUniversal LIFT Labs Accelerator powered by Techstars, listed in the program's portfolio with founder Jose Puga based in London, UK.
LIFT Labs featured content states that all eleven startups in the 2022 Comcast NBCUniversal LIFT Labs Accelerator announced partnerships with Comcast, NBCUniversal or Sky; Imaginario is listed among the accelerator's portfolio companies.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structure▸Research sources · 6
primary sources listed
- Imaginario.aiimaginario.ai · web
6 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Imaginario.ai do?
- London-founded video intelligence platform that makes existing footage libraries searchable and auto-assembles rough cuts and social clips.
- Who founded Imaginario.ai?
- Imaginario.ai was founded by Jose M. Puga, Jose Miguel Puga Vecco, Abdelhak Mahmoud Loukkal in 2022.
- Who are Imaginario.ai's investors?
- Imaginario.ai's investors include 216 Capital, Techstars.
- How much funding has Imaginario.ai raised?
- Imaginario.ai has disclosed $204.9K raised across 3 rounds.
- Where is Imaginario.ai headquartered?
- Imaginario.ai is headquartered in London, GB.




