In-depth technical guides, industry analysis, and implementation strategies for enterprise AI, privacy-first deployments, and digital transformation.
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Technical deep-dives into the engineering and compliance architecture behind on-premise enterprise AI — from GPU sizing to DPIA templates.
vLLM, Ollama, and TGI deployment patterns; GPU sizing for production workloads; sub-200ms inference at scale; OpenAI-compatible APIs hosted entirely behind your firewall.
Progressive autonomy, agent governance, MCP integration, and reasoning-trace observability — patterns for agents that act on your systems, not just answer questions.
Production RAG with Qdrant and Weaviate, hybrid retrieval combining BM25 and dense vectors, evaluation pipelines, and citation-grounded answers your auditors can trust.
Compliance by architecture: data residency in India, tamper-evident audit trails, breach playbooks, consent flows, and DPIA templates for regulated AI deployments.
LoRA, QLoRA, and full fine-tuning of Llama, Mistral, and Qwen; data curation; domain-specific benchmarks; eval-driven iteration for healthcare, legal, finance, and government.
Whisper-based ASR, streaming TTS, Hinglish code-switching, multilingual voice agents, SIP/VoIP integration, sub-200ms latency for call-center-grade voice deployments.
