Contextual AI at Scale

About Us

nBall.ai is a research-driven AI company building context-native intelligence. We advance how modern AI retrieves, reasons, and stays grounded — then apply it as trusted products across enterprise, healthcare, security, and analytics.

Why we exist

We exist to make AI worthy of consequential decisions.

AI is no longer limited by what it can generate. The harder problem is whether it can understand the context that makes an answer correct: the evidence, domain language, permissions, constraints, and consequences surrounding every decision.

nBall.ai builds this intelligence layer. We advance retrieval, grounding, reasoning, and evaluation, then translate that research into context-native systems for enterprise, healthcare, security, and analytics. The result is AI that stays aligned with real-world needs — precise enough to inform action, transparent enough to earn trust, and accountable at scale.

Research

How we advance modern AI.

We work across the stack that makes large language models dependable in the real world — grounding, adaptation, evaluation, and efficient serving — so accuracy and trust scale together.

Retrieval & Grounding

Context engineering and retrieval-augmented generation (RAG) that keep answers tied to real evidence — cutting hallucination as data scales.

Adaptation & Fine-tuning

Adapting frontier models to enterprise and clinical language through instruction tuning and alignment — never trained on customer data.

Evaluation & Safety

Benchmarks, red-teaming, and guardrails that measure quality and catch failure modes before they reach a decision.

Governance & Privacy

Access-aware execution, explainable outputs, and privacy-preserving design so intelligence stays auditable and yours.

Efficient Inference

Serving large models with low latency and cost across modern accelerators, so context at scale stays practical.

Reasoning & Agents

Multi-step reasoning, tool use, and decision-ready rendering — scorecards, narratives, and drill-downs instead of generic responses.

From research to product

Applied intelligence, one domain at a time.

Enterprise intelligence

HULQ

Metadata-native conversational analytics — natural questions in, governed and evidence-backed answers out.

Explore HULQ

Security intelligence

Durg

Human-supervised vision AI that turns approved camera and sensor feeds into explainable alerts for critical environments.

Explore Durg

Healthcare AI

Cynaps

Safe, grounded clinical intelligence for India — supporting doctors and strengthening health systems for every patient.

Visit Cynaps

Team

Researchers, engineers, and domain experts.

nBall.ai is built by people who care about both the science and the outcome — pairing frontier AI research with production engineering and deep domain knowledge.

Research

Retrieval, fine-tuning, alignment, and evaluation of modern language models.

Engineering

Scalable inference, data pipelines, and secure, production-grade deployment.

Product & Design

Turning models into decision-ready experiences that people actually trust.

Domain Experts

Enterprise, clinical, and security specialists who ground the work in reality.

Careers

Build the intelligence layer with us.

We're a focused team solving hard problems in retrieval, adaptation, and trustworthy AI. If that's your kind of work, we'd love to talk.

Explore open roles

nBall.ai is designing enterprise intelligence that feels human to use and rigorous enough to trust.