Academa, Inc.
Academa is building an AI-native STEM education platform in which lecture videos are written as maintainable source code and compiled into narrated, computer-generated videos. It aims to make technical knowledge easier to produce, update, translate and interact with.
At a Glance
- Students and independent learners
- STEM educators and course creators
- Universities and online education providers
- Organizations needing specialized or multilingual technical training
- +1 more
AI Tools by Academa, Inc.
(1)
ManimGX
Python Math Animation Engine
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Latest News
ManimGX 0.1.1 released with updated package metadata and GPU validation fixes.
ManimGX 0.1.0 released as the first release of Academa's open-source Rust/wgpu animation engine.
Academa launched publicly on Hacker News as a long-form STEM lecture-video product generated by LLMs.
Products & Services
A library of technical lecture videos generated from code, computer graphics and text-to-speech. The official catalog showed 66 maintained lectures spanning mathematics, statistics, engineering, computer science, physics and economics.
Users can request a technical lecture; paid plans add more generations and extensive chat with the videos. The underlying system uses an LLM to write lecture source code, renders the result, and provides chat that understands what is said and shown.
An open-source, MIT-licensed animation engine for agents, compatible with Manim Community Edition's Python API. It uses a Rust and wgpu GPU core to render 2D/3D math and technical videos, runs natively or in the browser, and is distributed through PyPI and npm.
Market Position
Academa differentiates from static recorded-course libraries through code-based, editable lectures that can be regenerated, corrected, translated and paired with contextual chat. Its ManimGX engine positions it against Manim Community Edition, ManimGL and Blender for programmatic mathematical/3D animation, emphasizing agent compatibility and substantially faster GPU rendering; the education product still competes with Khan Academy, Coursera, YouTube and human-produced technical lectures on quality, trust and pedagogy.
Leadership
Founders
Sina Atalay
Princeton PhD student on leave; previously taught engineering on YouTube, built RenderCV, and researched at CERN as a technical student.
Abdullah Geduk
Penn State PhD student and computational scientist; has tutoring and teaching-assistant experience and has used more than 20 million core-hours on supercomputers for fluid-mechanics simulations.
Executive Team
Sina Atalay
Co-founder
Princeton PhD student on leave; former engineering educator on YouTube, RenderCV creator and former CERN technical student.
Abdullah Geduk
Co-founder
Penn State PhD student and computational scientist focused on fluid-mechanics simulation, with tutoring and teaching-assistant experience.
Founding Story
The co-founders wanted to address the fact that conventional lecture videos are difficult to correct, maintain and translate after production. Their initial vision was to treat lectures like software: write them as code, have an LLM generate the source, compile it into video with computer graphics and text-to-speech, and continuously improve the source over time.
Business Model
Revenue Model
Freemium subscription for Academa: free access to lectures with limited chat and one monthly generation, a paid Plus subscription for more chat and generations, and custom-priced Enterprise access for video creation at scale and API access.
Pricing Tiers
Every lecture, limited chat with videos, and one video generation per month.
Every lecture, extensive chat with videos, and 10 video generations per month.
Videos at scale, API access and creation in 30+ languages.
Target Markets
- Students and independent learners
- STEM educators and course creators
- Universities and online education providers
- Organizations needing specialized or multilingual technical training
- Developers and AI agents producing mathematical or 3D animation
- On-demand explanations of technical STEM topics
- Self-paced learning and revision through visual lectures
- Maintained courseware that can be corrected without re-recording
- Niche mathematical, engineering and research-topic explanations
- Multilingual technical education
- Interactive question answering about a lecture