About Vivacity

LLMs answer in text. We make it move.

Vivacity is near-real-time video infrastructure for LLMs. Turn prompts, documents, and AI answers into mathematically exact, narrated explainer videos. API-first for EdTech platforms, agents, and creator pipelines. Built for Manim-grade motion, English Hindi and Hinglish narration, and unit economics cheap enough for chatbots to call at volume.

Product facts

Vivacity generates mathematically exact explainer videos from prompts, documents, or upstream LLM answers.

Primary use cases: EdTech tutoring bots, LLM apps, agent tool calls, creator pipelines, STEM education.

Pipeline stages: ingest, scene IR, voice narration, exact motion render, QA repair, mux to video_url.

Narration languages: English, Hindi, Hinglish. API-first job interface.

Unit economics target careful short renders around seven Indian rupees (about eight US cents).

Website: https://tryvivacity.com Contact: pavitra@paxus.in

Early beta. Invite code access via /signin.

Frequently asked questions

What is Vivacity?

Near-real-time video infrastructure for LLMs. It turns prompts, documents, and AI answers into narrated, mathematically exact explainer videos you can call from an app or agent.

How is this different from whiteboard AI video?

Whiteboard tools optimize for fast drawn explainers. Vivacity optimizes for coordinated, mathematically exact diagrams. Equation morphs, graphs, spatial proofs. When the visual has to be correct.

What can I feed it?

A plain prompt, a document, or an upstream model answer. Any topic works. Math and science are where precision shows most.

How fast and how cheap?

Near real-time on short clips. Careful short renders land around ₹7 / about $0.08. Designed so EdTech chatbots and agents can afford volume.

Languages?

English, Hindi, and Hinglish narration today, with more language paths on the roadmap.

Is there an API?

Yes. Submit a job, poll status, receive a video_url. Built so products and agents can embed generation without owning a render farm.

Who is this for?

EdTech platforms, LLM apps, creator pipelines, and anyone replacing text dumps with motion that teaches.

Newsletter archive

Site map links

← Newsletter

Jul 2026

Unit economics of explainer infra.

If it is not cheap, chatbots will never call it.

Hand-written Manim is beautiful and expensive. Freelancers and in-house teams burn hours on a few minutes of motion.

Infra only works if the marginal cost of another explainer is low. Our careful short renders land around ₹7. That number is a product decision, not a footnote.

Volume is the point. A JEE doubt bot should be able to fire hundreds of explainers a day without a render farm on the balance sheet.

We will keep publishing notes on cost, latency, and what breaks when you put video behind a model.