What is Adaptiv.me?
Building an adaptive learning operating system for the edtech sector, integrating learner modeling, intelligent assessment, and AI video generation capabilities to serve multi-tenant university environments
Developing cultural graphs and immersive digital knowledge platforms for the cultural tech sector, such as Project Bhaskar, which uses historical research and AI to retell the stories of unsung heroes of India’s independence movement
Develop AI decision-support tools compliant with regulatory requirements for the fintech sector, integrating proprietary data, small language models, and explainability components to enable real-time risk management and decision-making for operations teams.
Key features
End-to-end AI product services: covering AI UX design, small language model training, AI video system development, and full-lifecycle operations
Establishing a cross-regional studio network (Paris, Bangalore, Ajmer, Grenoble) to support distributed collaboration and a “follow-the-sun” R&D workflow
Use cases and audience
A team serving the edtech, cultural tech, and fintech sectors, offering one-stop services from AI product design and model development to engineering deployment
- Build an adaptive learning operating system for the EdTech sector, combining learner modeling, intelligent assessment, and AI-powered video generation capabilities to serve multi-tenant scenarios such as universities.
- Develop cultural intelligence AI systems for the Culture Tech domain, such as the Project Bhaskar digital knowledge platform that integrates Indian cultural context with artificial intelligence.
- Create high-trust decision-support tools for the FinTech sector, including operational-level AI assistants that combine proprietary data, small language models (SLMs), and explainability components.
Customer business scenario requirements, domain data assets, compliance and risk considerations, as well as cultural or educational context constraints
Context-aware AI products, including adaptive learning systems, cultural intelligence platforms, and explainable financial decision-making assistants, supporting multi-market deployment and reuse of open-source model assets
How to use
- 01
Launch a Build Sprint to define product goals and assess feasibility.
- 02
Assemble cross-functional development teams covering discovery research, experience strategy, model experimentation, engineering implementation, and lifecycle operations.
- 03
Conduct context modeling and custom training of small models tailored to specific verticals in culture, education, and finance.
- 04
Deliver a minimum viable product (MVP) that ensures production readiness, elegant user interaction, and contextual awareness.
Official website & sources
Updated on 2026-10-27
