Blog & Research
Insights, engineering deep dives, and research from the NeuratantraAI team.
The State of AI in India: 2026 and Beyond
An in-depth look at India’s AI ecosystem, government initiatives, startup landscape, and what the next decade holds for AI adoption across industries.
Building Multilingual Voice Agents: Lessons from the Field
Our engineering team shares lessons learned from building voice AI agents that handle 10+ Indian languages in real-time enterprise environments.
RAG vs Fine-Tuning: When to Use What
A practical comparison of retrieval-augmented generation and fine-tuning approaches for enterprise LLM applications, with benchmarks and decision frameworks.
How We Reduced LLM Inference Costs by 70%
Techniques we used to dramatically cut inference costs including quantization, caching strategies, and intelligent routing across model tiers.
AI Ethics in Practice: Building Responsible AI Products
How NeuratantraAI approaches bias detection, fairness audits, and transparency in production AI systems serving millions of users.
Domain-Specific LLMs: Why Generic Models Fall Short
Our research on training domain-specific language models for healthcare, legal, and financial sectors — and why they outperform general-purpose models.