Linum
Linum is a two-person AI research lab building open-weight text-to-video diffusion models from scratch to make animation and filmmaking dramatically cheaper and more accessible for filmmakers, animators, musicians, and set-visual artists.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B and B2C
- OfferingSoftware
What Linum does
Linum is a two-person AI research lab founded in 2022 by brothers Manu Chopra and Sahil Chopra, headquartered in San Francisco and incorporated in Delaware as Linum, Inc. The company is building open-weight text-to-video generative AI models aimed at reducing the cost and complexity of animation and filmmaking — explicitly targeting the $3-4M indie animation production cost benchmark with generative primitives such as consistent characters, intentional camera movement, and controllable motion.
The company's technical core is Linum v2, a 2B-parameter text-to-video diffusion transformer trained from scratch (not extended from an image model like its predecessor v1, which inflated Stable Diffusion XL into video). V2 generates 2-5 second clips at 360p or 720p resolution and is supported by a custom Image-Video VAE that Linum built over four months in 2024, featuring Self-Modulating Convolution operations adapted for Conv3Ds with 8x spatial and 4x temporal downsampling. Both the v2 model weights and the standalone VAE are released under Apache 2.0, permitting commercial use. The team also maintains ancillary engineering assets such as a GPU-cluster monitoring service built for ~$8/month on Ubicloud.
Commercially, Linum is pre-revenue with no disclosed pricing model and no paying customers. Models are distributed through Hugging Face (model weights), GitHub (source code), and third-party inference providers; Linum itself does not monetize direct access. Capital comes from the Y Combinator W23 batch and venture partners (Adverb Ventures; Eight Capital and Unpopular Ventures also appear in the funding record), alongside compute partnerships with Crusoe (H200 training cluster) and Together AI, plus infrastructure support from Cloudflare and Ubicloud. Go-to-market is product-led and community-led: technical content marketing through the Field Notes blog, an active newsletter, and direct outreach to filmmakers, animators, and secondary users such as musicians and set-visual artists.
Linum firmographics
Firmographics- Name
- Linum
- Legal name
- Linum, Inc.
- Website
- https://linum.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Linum is a two-person AI research lab building open-weight text-to-video diffusion models from scratch to make animation and filmmaking dramatically cheaper and more accessible for filmmakers, animators, musicians, and set-visual artists.
- Ownership category
- akta.pro rank
Linum industry classification
Industry- Product category
- Generative AI Models
- NAICS
- Software Publishers (5132), Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Open-Source Model Ecosystems & Model Marketplaces (HDAAACAM)
Keywords
Where Linum is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Linum business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales
Revenue model
- Pre-revenue / Research Stage: Linum is a research lab in pre-revenue stage. Revenue model has not been established. Models are released as open-source (Apache 2.0) with no direct monetization. Company is backed by Y Combinator and Adverb Ventures.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Linum product offering
Product offeringCore offering
Linum is a research lab that trains and open-sources text-to-video generative AI models from scratch. Its core product, Linum v2, is a 2B-parameter Apache 2.0 licensed model that generates 2–5 second video clips at up to 720p resolution from text prompts. The company also open-sourced a proprietary Image-Video VAE used during training, and a low-cost GPU cluster monitoring tool. Models are distributed free via Hugging Face and GitHub for use by filmmakers, animators, musicians, and developers.
Product overview
Linum is a two-person AI research lab offering open-weight text-to-video models. The core product is Linum v2, a 2B parameter text-to-video model available in 360p and 720p variants, licensed under Apache 2.0. The company also open-sourced their custom Image-Video VAE developed during the v2 training process. Supporting the product ecosystem is Field Notes, a technical blog covering research and engineering insights from building generative video models from scratch.
Differentiator
Problem solved
Functional benefit
Brands
- Linum v2: Open-weight 2B parameter text-to-video models capable of generating 2-5 second clips at up to 720p resolution, Apache 2.0 licensed.
- Linum Image-Video VAE
- Field Notes
Products and services
- Linum v2 Text-to-Video Model Open-weight 2B-parameter text-to-video model that generates 2–5 second clips at up to 720p resolution from text prompts. Licensed Apache 2.0 for commercial use, with weights distributed via Hugging Face and source code on GitHub for animators, filmmakers, musicians, and AI developers.
- Linum Image-Video VAE Open-source Variational Autoencoder for compressing both images and videos into a latent space, built in-house to support Linum v2 training. Includes SMC (Self-Modulating Convolution) adapted for Conv3D to avoid artifact problems and supports 8x spatial and 4x temporal downsampling. Released for researchers and developers building video diffusion pipelines.
Quantifiable outcome
- Animation production cost reduction target: order of magnitude decrease from $3-4M
Companies that use Linum
Customer profileSegments2 records
Ideal customer profiles2 records
Linum technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature3 records
Linum partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- CrusoecoreInfrastructure partner providing GPU compute (H200 cluster) for training Linum v2. Co-marketed blog post on How Linum built a frontier video model on Crusoe.
Scale indicators5 records
Recent moves6 records
Expansion highlights5 records
Linum competitors and assessment
Company assessmentEmerging players
- Black Forest Labs: Black Forest Labs builds open-weight generative models (FLUX) for images and is widely viewed as a leading candidate to extend into open-weight video. As a peer in the open-source foundation model category, it represents the most direct competitive model both in philosophy and in Hugging Face-distributed weight strategy that Linum would benchmark against.
- Wonder Dynamics: Wonder Dynamics (Autodesk) builds AI tools that automate character animation and VFX for filmmakers, targeting exactly the $3-4M indie animation budget pain point Linum references. Its focus on animating existing footage rather than generating video from scratch is complementary but competes for the same indie filmmaker wallet and workflow.
Broad incumbents
- Midjourney: Midjourney dominates AI image generation for creative professionals and animators — many of the same users Linum targets with video. Midjourney's moves into video and its established creator community represent both a competitive threat and a distribution reference point for Linum's filmmaker-focused GTM.
- OpenAI (Sora): OpenAI's Sora is the highest-profile closed-source text-to-video model and represents the frontier the entire category is measured against. As a broad incumbent with vastly more compute and capital, OpenAI shapes user expectations around clip length, fidelity, and controllability that Linum's open-weight competitor must match or differentiate against.
- Google DeepMind (Veo): Google's Veo text-to-video model is a frontier competitor backed by Google's research depth and infrastructure, targeting the same professional content creation workflows. Veo sets the bar for cinematic quality, prompt adherence, and duration that small open-weight models like Linum v2 must close the gap to over multiple generations.
Direct peers
- Pika Labs: Pika Labs builds consumer-facing text-to-video and video editing models marketed to creators and marketers, with similar 4-5 second clip outputs and pricing geared toward indie filmmakers. Linum's open-weight 2B model targets functionally equivalent use cases and creator segments with a fundamentally different (open-source vs. hosted) go-to-market.
- Runway: Runway is the commercial category leader in generative video for filmmakers and creative professionals, offering text-to-video, image-to-video, and editing tools. Linum competes directly for the same filmmaker/animator persona and targets the same workflow gap of accessible creative video generation, but takes an open-source rather than hosted-SaaS approach.
- Stability AI: Stability AI pioneered the open-weight foundation model distribution model (Stable Diffusion) that Linum explicitly follows for video, including Hugging Face distribution and community-led commercialization. Both organizations focus on open-source generative media models and downstream developer/maker ecosystems, making them the closest strategic analog despite different modalities.
- Luma AI: Luma AI develops text-to-video and 3D generation models (Dream Machine) aimed at filmmakers and creative professionals, generating short high-fidelity clips from prompts. Linum's targeting of animators and filmmakers, plus its emphasis on creative controls in model training, places it in direct competition for the same creative-producer segment.
Others
- Hugging Face: Hugging Face is Linum's primary distribution channel for open-weight models and the de facto hub for the open-source generative AI ecosystem. While not a competitor, Hugging Face's hosted inference, evaluation, and fine-tuning offerings could either amplify or absorb Linum's reach depending on ecosystem positioning.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat3 records
Key risks7 records
Key highlights7 records
Customer concentration
Linum social profiles
Digital presenceLinum financial estimates
Financial estimateRevenue estimate
Valuation estimate
Linum leadership team
Management profileNumber of profiles
Profiles2 records
Linum funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Linum M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Linum
What does Linum do?
Linum is a research lab that trains and open-sources text-to-video generative AI models from scratch. Its core product, Linum v2, is a 2B-parameter Apache 2.0 licensed model that generates 2–5 second video clips at up to 720p resolution from text prompts. The company also open-sourced a proprietary Image-Video VAE used during training, and a low-cost GPU cluster monitoring tool. Models are distributed free via Hugging Face and GitHub for use by filmmakers, animators, musicians, and developers.
Is Linum a public or private company?
Linum is a private company. It is classified as venture growth investor backed and is currently operating.
When was Linum founded?
Linum was founded in 2022. It employs 1 to 10 people.
Where is Linum based?
Linum is headquartered in San Francisco, United States, in the North America region.
How does Linum make money?
One revenue line is on record: pre-revenue / Research Stage.
Who are Linum's main competitors?
Emerging players on record are Black Forest Labs and Wonder Dynamics. Broad incumbents are Midjourney, OpenAI (Sora) and Google DeepMind (Veo). Direct peers are Pika Labs, Runway, Stability AI and Luma AI. Hugging Face is listed as an others.
Does Linum have an API?
No public API is recorded for Linum.
What industry is Linum in?
Linum's product category is Generative AI Models. Its primary akta.pro industry code is HDAAACAM, Open-Source Model Ecosystems & Model Marketplaces. Its NAICS code is 5132 and its SIC code is 7372.