Problem

Most AI video is optimized for cinematic clips, while the videos organizations actually need are practical explainers: training modules, onboarding flows, product walkthroughs, lessons, and sales content. Producing those videos today often means paying an agency thousands of dollars and waiting weeks, or spending hours in a template editor. That economics breaks down when a company needs hundreds of videos, frequent updates, or localization into many languages. Lamina Labs’ clearest use case is turning existing SOPs, policies, compliance documents, product documentation, or course material into short, understandable training and onboarding videos at scale.

Product / Service

Lamina Labs describes itself as a visualization layer for AI, with Simi as its first product. Users can submit a prompt, deck, document, or script, and Simi writes the script, creates illustrations, animates them, adds narration, and returns a finished whiteboard-style explainer rather than a draft. It can generate videos from roughly one minute to an hour in a single shot and supports more than 80 languages, making it useful for education, customer onboarding, internal training, product walkthroughs, sales, and marketing.

The delivery model combines a self-serve application with developer infrastructure. Simi offers HTTP API access, Python and Node SDKs, and an MCP server so agents and other applications can generate videos directly. Individual plans range from $19.99 to $99.99 per month, while the Business tier offers branding, custom voice, API access, and volume pricing. The intended benefit is to make structured, narrated video faster, cheaper, and scalable enough to serve whenever an AI system or business user needs an explanation.

Market

Lamina Labs competes in AI video generation and visualization infrastructure, initially targeting education, corporate learning and development, customer onboarding, product education, and high-volume explainer production. Its positioning is narrower and more functional than cinematic text-to-video: the company is building near-real-time, structured video infrastructure for LLMs so that models, agents, and applications can explain concepts visually. The practical competitive set includes general-purpose AI video or model products such as Claude Fable and GPT-5.5 Pro, as well as adjacent whiteboard and template-based video tools including Renderforest, Animaker, Powtoon, InVideo, Adobe Animate, and CapCut; these are adjacent alternatives rather than a formally disclosed list of direct competitors.

The company has early paid traction rather than being purely pre-revenue. A report stated that Simi had reached 4,000 users and 187 paying customers just twelve days after launch, although no revenue figure was disclosed. As of the current company announcement, Lamina Labs has raised $4.8 million in a round led by Foundation Capital with participation from Link Ventures and Y Combinator. It is an active Spring 2026 YC company, and the funding and early customer adoption indicate that it is moving from an initial education-led wedge toward broader enterprise, creator, agency, and API infrastructure markets.