Lamina Labs GTM brain

Lamina Labs sells Simi, a tool and API that turn prompts and documents into narrated whiteboard explainer videos for educators, creators and teams.

category

AI explainer video generation

market profile

  • text: Training, education and onboarding teams need to turn static documents into understandable video without a production studio.
  • text: Simi competes with AI video and document-to-video products, emphasizing structured explanation and generation speed.

personas

  • title: Learning and development manager
    pains:
    • Policies and SOPs are hard to turn into engaging training at scale.
    • Maintaining video content through frequent process changes is expensive.
  • title: Educator or course creator
    pains:
    • Visual explanations take time to script, animate and narrate.
    • Students need replayable explanations for difficult concepts.
  • title: Developer building an AI learning or support product
    pains:
    • Producing a video response for each user question requires expensive custom infrastructure.
    • A video generation service must fit an existing application pipeline.
  • title: Customer education or onboarding lead
    pains:
    • Repetitive product walkthroughs consume staff time.
    • Text-heavy setup material can be difficult for customers to follow.

icp

  • text: Education providers and independent teachers producing frequent lessons and study explanations, with no fixed company-size requirement.
  • text: Small businesses and software teams creating recurring customer onboarding or internal training content.
  • text: Software teams integrating high-volume video generation via API, with business plans for branding and volume.

message pillars

  • text: Convert existing content into explanations.
  • text: Make speed central to the workflow.
  • text: Embed generation into developer workflows.

objections

  • objection: Will generated explanations be factually accurate and usable in training?
    response: Pilot representative source documents and have a subject expert review narration, visuals and any critical instructions before distribution.
  • objection: Can it support our brand and longer videos?
    response: Discuss the business tier's branding, custom voice and higher limits, and test the output against your requirements.
  • objection: What will recurring generation cost?
    response: Estimate output seconds and retries against plan credits and confirm volume pricing for API usage.

competitors

  • name: Google NotebookLM
    why: Offers video overviews of source material and is compared on Lamina's homepage.
  • name: Anthropic Claude
    why: General AI model compared against Simi for explainer video creation.
  • name: OpenAI
    why: GPT is compared on the homepage for video generation from a prompt.

influencers

  • name: Kartikesh Mishra
    url: https://www.linkedin.com/posts/mk314k_welcome-to-the-age-of-visual-first-learning-activity-7465303634977759232-38Ln
    why: Co-founder posts about the Simi launch and visual learning.
  • name: Sudip Rokaya
    url: https://nitter.cf/laminalabs
    why: Co-founder posts product demonstrations and launch updates on X, as reflected in the company feed.

keywords

  • AI whiteboard explainer video
  • document to video generator
  • AI training video maker
  • PDF to explainer video
  • video generation API
  • AI lesson video creator
  • customer onboarding video generator

voice

  • Visual and ambitious
  • Fast and accessible
  • Use-case led

signals

  • text: An L&D team is converting a large library of SOPs or onboarding documents into videos.
  • text: An AI application wants to return visual explanations or generate videos programmatically.
  • text: A creator publishes frequent educational explainers and seeks faster turnaround.

stack

  • Simi API
  • SDKs

pricing

model: usage
starting price: Plus $19.99/month for 6,000 credits; higher tiers and business pricing available

motion

hybrid

channels

  • X
  • LinkedIn
  • self-serve website
  • SEO
  • founder-led sales

confidence

high

Founders

  • name: Sudip Rokaya
    title: Founder/CEO
    role: CEO
    bio: Sudip is co-founder of Lamina Labs, building the video infrastructure for LLMs. He studied CS and Math at MIT and did ML research at MIT's McGovern Institute. He represented Nepal at the International Olympiad on Astronomy & Astrophysics as his team's top scorer, and has published two math papers.
  • name: Kartikesh Mishra
    title: Founder/CTO
    role: CTO
    bio: Co-founder of Lamina Labs (YC P26) | EECS @ MIT BSc' 24 MEng' 25

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