AI-powered educational game platform for K-12 workforce development
Stemuli embeds curriculum and career pathways into a game engine (Unity) powered by LLMs and generative AI models (PyTorch, TensorFlow). The tech stack reveals a company balancing real-time gameplay (C#, Unity) with AI-driven content generation and economic simulation—four mid-to-senior engineers focused on bridging those two layers. Pain points cluster around scaling: backend capacity for 100k learners, AI output reliability, and large-state deployments, suggesting they're past proof-of-concept and hitting infrastructure limits.
Stemuli is an edtech startup (founded 2020, Dallas) building an AI-powered video game that teaches school and career skills to K-12 students. The platform combines a Unity game engine with LLM-powered educational assistants, generative AI for problem creation, and AI-driven economic simulations (founder tycoon, market dynamics, virtual business systems). Revenue model centers on reducing cost and improving access to workforce development. The company is scaling toward a 20-state rollout and 100k learners, with engineering focus split between gameplay integration, backend infrastructure, and AI model reliability.
Python, PyTorch, TensorFlow, Unity, C#, PostgreSQL, MongoDB, GCP, Weights & Biases, Postman, and Selenium. The mix shows game-engine development (Unity/C#) paired with ML infrastructure (PyTorch/TensorFlow) for AI model training and deployment.
LLM-powered educational assistants (Orb Chat), generative AI for dynamic problem creation, AI-driven economic simulations (founder tycoon, market dynamics), ETL pipelines for K-12 curriculum data, and integration of AI models into the gameplay loop via Unity 3D.
Other companies in the same industry, closest in size