Gamma has bought design startup Lica and will use the deal to launch a research lab aimed at “multimodal, personalized AI-generated presentations.” The move gives Gamma a dedicated team to push beyond static slide decks toward interactive, video-rich communication that can be tuned to a brand’s look and an audience’s preferences.

Why the acquisition matters now

Gamma already powers a presentation workflow for more than 100 million users and recently lifted its valuation to $2.1 billion after a $68 million funding round. Lica, founded in 2023 by Priyaa Kalyanaraman and Purvanshi Mehta, built a tool that turns screenshots and screen recordings into polished project decks and marketing videos, a niche that resonated with e-commerce brands. By folding Lica’s technology and talent into a new design research lab, Gamma signals it wants to be more than a slide-generation service; it wants to own the next generation of visual communication that mixes text, graphics, animation and interactivity.

The push toward multimodal communication

Current AI-powered presentation tools typically accept a prompt and spit out a static deck of slides. Gamma’s plan, as described by Lica’s founders, is to create “fluid, multimodal presentations.” In practice that could mean a single output that blends traditional slides with embedded video, clickable prototypes, or real-time data visualizations that adapt to the viewer’s device. The research lab will explore how to stitch together those different media types while keeping the whole experience coherent and on-brand.

Personalization as a competitive edge

Most generators apply a one-size-fits-all aesthetic—clean fonts, neutral colour palettes, generic icons. Lica’s co-founders will head the new division with a focus on “customizing the communication styles of AI models” for specific audiences and brand guidelines. A marketer could ask the system to produce a deck that feels “playful” for a Gen-Z audience, or “formal” for a boardroom, while automatically respecting a company’s colour codes, logo placement rules and typography standards. If successful, that granular control could make AI-generated decks acceptable for high-stakes corporate or client work where brand consistency is non-negotiable.

How the deal fits into a consolidating market

The AI-productivity sector has seen a wave of capital inflows and mergers. Gamma’s valuation sits alongside Prezent’s $50 million raise and Presentations.ai’s ties to the same venture firm that backed Lica, Accel. Larger AI labs are also moving in; OpenAI recently acquired NextSlide, a startup that adds slide-creation capabilities to its language models. By acquiring Lica, Gamma defends its market share—preventing a rival from snapping up a team that already knows how to turn raw media into polished visuals—and expands its own R&D pipeline to keep pace with the broader push toward multimodal generative AI.

Risks and counter-points

Personalizing visual style at the level of brand guidelines is technically demanding. Training models that respect fine-grained design rules without sacrificing creativity often requires large, high-quality datasets that are hard to assemble. There is also the danger of spreading resources too thin: Gamma’s core strength has been rapid slide generation for a massive user base; diverting engineering effort into a research lab could slow feature delivery for existing customers. Larger players like OpenAI can embed similar capabilities directly into their foundational models, potentially making a specialised lab less relevant if the ecosystem converges on a single, all-purpose AI engine.

What to watch next

  • Product announcements: The first public signal will be a beta or preview of “multimodal” decks that include video or interactive elements.
  • Integration timeline: How quickly Lica’s team can plug into Gamma’s existing platform will indicate whether the lab is a long-term research effort or a fast-track product push.
  • Competitive responses: If OpenAI or other AI labs release comparable personalization features, Gamma may need to double down on its brand-specific tooling or explore partnerships.
  • Funding implications: A successful rollout could attract follow-on investment, while a delayed or under-whelming product might prompt a strategic reassessment.

ਇਹ ਅਧਿਗ੍ਰਹਿਣ ਸਪੱਸ਼ਟ ਕਰਦਾ ਹੈ ਕਿ Gamma ਇੱਕ ਅਜਿਹੇ ਭਵਿੱਖ 'ਤੇ ਦਾਅ ਲਗਾ ਰਿਹਾ ਹੈ ਜਿੱਥੇ ਪ੍ਰੈਜ਼ੈਂਟੇਸ਼ਨ ਹੁਣ ਸਿਰਫ਼ ਇੱਕ ਸਥਿਰ PDF ਨਹੀਂ, ਸਗੋਂ ਇੱਕ ਗਤੀਸ਼ੀਲ ਅਤੇ ਦਰਸ਼ਕਾਂ ਦੀਆਂ ਲੋੜਾਂ ਨੂੰ ਸਮਝਣ ਵਾਲਾ ਅਨੁਭਵ ਹੋਵੇਗੀ। ਕੀ ਉਹ ਵਿਜ਼ਨ ਮਾਰਕੀਟ ਵਿੱਚ ਜਿੱਤਣ ਵਾਲੇ ਉਤਪਾਦ ਵਿੱਚ ਬਦਲਦਾ ਹੈ, ਇਹ ਡਿਜ਼ਾਈਨ ਦੀ ਮੁਹਾਰਤ ਨੂੰ ਭਰੋਸੇਯੋਗ ਅਤੇ ਵਿਸਤਾਰਯੋਗ AI ਮਾਡਲਾਂ ਵਿੱਚ ਬਦਲਣ ਦੀ ਲੈਬ ਦੀ ਯੋਗਤਾ 'ਤੇ ਨਿਰਭਰ ਕਰੇਗਾ। ਜੇਕਰ ਅਜਿਹਾ ਹੁੰਦਾ ਹੈ, ਤਾਂ “ਪ੍ਰੈਜ਼ੈਂਟੇਸ਼ਨ ਸਾਫਟਵੇਅਰ” ਅਤੇ “ਮਲਟੀਮੀਡੀਆ ਸਟੋਰੀਟੈਲਿੰਗ ਪਲੇਟਫਾਰਮ” ਵਿਚਕਾਰਲੀ ਲਕੀਰ ਕਾਫ਼ੀ ਹੱਦ ਤੱਕ ਮਿਟ ਸਕਦੀ ਹੈ।