Research & Innovation

Advancing AI Knowledge

Beyond teaching AI, Abscissa AI actively contributes to the advancement of AI knowledge through applied research, open-source projects, and collaborative innovation with industry and academia.

Our Research Philosophy

We believe great AI education and great AI research are inseparable. Our faculty and advanced students engage in applied research that directly informs our curriculum, ensures we're teaching the cutting edge, and contributes genuinely to the global AI knowledge base.

10+
Research Projects
5+
Published Papers
3
Open Source Tools
Focus Areas

Research Focus Areas

Large Language Models

Investigating alignment, efficiency, and emerging capabilities in foundation models. Research into fine-tuning methodologies, RLHF, and constitutional AI approaches.

Sample Research
Efficiency in LLM Fine-tuning
Alignment Techniques Survey
RAG vs Fine-tuning Comparative Study

Agentic AI Systems

Designing multi-agent architectures that demonstrate planning, tool use, and autonomous goal completion. Focus on safety and reliability in production agentic systems.

Sample Research
Multi-Agent Coordination Protocols
Safe Tool Use in LLM Agents
Planning in Autonomous AI Systems

AI for India

Research into AI applications specific to Indian contexts — multilingual NLP, agricultural AI, healthcare AI for tier-2 and tier-3 markets, and financial inclusion through AI.

Sample Research
Indic Language Models
AI-Driven Agricultural Yield Prediction
Low-Resource NLP for Indian Languages

AI Education & Pedagogy

Researching effective methods for AI education — how people best learn complex AI concepts, the role of practical learning, and how to build genuine AI intuition.

Sample Research
Effectiveness of Hands-On AI Learning
Curriculum Design for Practical AI
Measuring AI Competency

Generative AI Applications

Exploring novel applications of generative AI in creative fields, product development, content personalization, and automated knowledge work.

Sample Research
GenAI in Content Production
Quality Assessment for AI-Generated Content
Multimodal Generation Applications

AI Ethics & Safety

Investigating bias mitigation, fairness in AI systems, explainability, and responsible AI deployment — particularly in high-stakes contexts like healthcare and finance.

Sample Research
Bias in Recruitment AI Systems
Explainability Techniques for Healthcare AI
AI Safety Frameworks for Enterprises
Innovation Lab

Active Projects & Innovations

Our innovation lab is where research becomes reality — practical tools and resources that benefit the AI community.

Abscissa RAG Framework

In Development

An open-source RAG evaluation and benchmarking framework designed for Indian enterprise use cases.

IndiaAI Dataset Initiative

Active

Curating high-quality training datasets for Indian languages, covering 12 regional languages with diverse domain coverage.

AI Career Readiness Index

Published

A competency framework for evaluating real-world AI readiness across 7 skill dimensions, used by hiring managers.

Agentic Workflow Library

Beta

A collection of pre-built, production-ready agentic workflow templates for common business automation tasks.

Collaborate With Us

We welcome collaboration with industry, government, and academic institutions. If you have an AI research challenge or want to partner on innovation, we'd love to hear from you.

Get In Touch