# humaineeti — AI engineered for your business. > AI that ships on time, holds up at scale, and earns trust from day one. From first idea to production, engineered by humaineeti. The work spans governed, outcome-driven agentic AI for the enterprise: engineering services across a four-tier engagement model, 10+ agentic AI solutions proven on the customer's own data, and partner-stack engineering on AWS, Anthropic and MongoDB. The name is human + AI + neeti (Sanskrit, "right conduct"). - Website: https://www.humaineeti.ai - Email: hello@humaineeti.ai - Phone / WhatsApp: +91 91472 11556 - LinkedIn: https://www.linkedin.com/company/humaineeti - X: https://x.com/humaineeti - Offices: Mumbai · Kolkata - Full content for LLMs: https://www.humaineeti.ai/llms-full.txt ## Solutions 10+ agentic AI solutions, each with a free demo and a no-cost proof of concept on the customer's data. Index: https://www.humaineeti.ai/solutions/ - [Agentic Sourcing Foundation](https://www.humaineeti.ai/solutions/agentic-sourcing-foundation/) — Spend & Sourcing Analytics. One governed spend foundation on your SAP data, with specialised AI agents for sourcing, contracts, finance and demand. - [ApexAIQ](https://www.humaineeti.ai/solutions/apexaiq/) — Performance Marketing. 35 agents across seven crews work your Google and Meta accounts in parallel, 24/7. - [DPDP-AID](https://www.humaineeti.ai/solutions/dpdp-aid/) — Data Privacy & Compliance. DPDP Act compliance through true discovery — code, schemas and legacy data parsed for real lineage. - [IntelliEHS](https://www.humaineeti.ai/solutions/intelliehs/) — EHS Management. Incidents, BBS, audits, occupational health and CAPA in one no-code, auditable system of record. - [InVocIQ](https://www.humaineeti.ai/solutions/invociq/) — Voice-Driven AI BI. A voice and chat layer over your existing BI stack — cited answers in seconds, in any language. - [LDIP](https://www.humaineeti.ai/solutions/ldip/) — Legal Document Intelligence. Every executed legal instrument extracted, cited, confidence-gated and searchable. - [MODELSTACK](https://www.humaineeti.ai/solutions/modelstack/) — AI Infrastructure. A single Terraform apply for vLLM serving, benchmarking, a governed gateway and per-query routing. - [Quillect](https://www.humaineeti.ai/solutions/quillect/) — Document Intelligence. Intelligent document processing (IDP) at scale — every extracted value anchored to its source page. - [RFP Score](https://www.humaineeti.ai/solutions/rfp-score/) — Procurement & Bid Evaluation. AI-assisted bid evaluation, with every score cited to a line in the proposal and fully auditable. - [WellSpend](https://www.humaineeti.ai/solutions/wellspend/) — Cloud FinOps. Strictly read-only, agentic FinOps across every AWS account — up to 25% savings surfaced. ## Services ### AI Engineering - [Accelerated Deployment](https://www.humaineeti.ai/services/accelerated-deployment/): A software lifecycle re-engineered around AI — AI orchestrates planning and design, humans own validation. - [Agent Evaluations](https://www.humaineeti.ai/services/agent-evaluations/): Score, retrain and govern every loop of the agent SDLC — from prototype to production. - [AI Research & Customisation](https://www.humaineeti.ai/services/ai-research-customisation/): Domain-tuned small language models that match larger models at a fraction of the inference cost. - [Future of Work](https://www.humaineeti.ai/services/future-of-work/): AI co-workers that research, build, evaluate, deploy and govern — humans direct, agents execute. - [GenAI Delivery Factory](https://www.humaineeti.ai/services/genai-delivery-factory/): Enterprise GenAI from blueprint to production — AI co-workers, LLMOps, observability and governance built in. - [RAG](https://www.humaineeti.ai/services/rag/): Retrieval systems that survive production — indexed against ground truth, evaluated continuously, grounded in citations. ### Data Engineering - [AI-Powered BI](https://www.humaineeti.ai/services/ai-bi/): Conversational BI that answers in plain English, on live data, the moment you ask. - [Data Platform](https://www.humaineeti.ai/services/data-platform/): The bronze, silver, gold lakehouse that BI, applications and AI agents can trust. - [Infrastructure & Engineering](https://www.humaineeti.ai/services/infrastructure/): The foundation under every engagement — scalable, secure infrastructure for AI workloads. ### AI Consulting - [GenAI Readiness](https://www.humaineeti.ai/services/genai-readiness/): Six pillars, scored and weighted into one GenAI Readiness Score you can act on. - [Responsible AI](https://www.humaineeti.ai/services/responsible-ai/): Zero Trust on every agent and LLM invocation — traced, logged and scored for safety. ## Methodology - [The AI engagement model](https://www.humaineeti.ai/methodology/): four tiers (Applications & Delivery, Research & Customisation, Data & Context Foundation, Infrastructure & Engineering) flanked by two pillars (Accelerated Deployment and Governance & Trust), run through the Build → Evaluate → Operationalise → Govern lifecycle. ## Partnerships - [Amazon Bedrock & AgentCore](https://www.humaineeti.ai/partnerships/aws-bedrock-agentcore/): Production AI agents on Amazon Bedrock and Bedrock AgentCore — engineered and governed from day one. - [Claude Agents, Skills & MCP](https://www.humaineeti.ai/partnerships/claude-agents-mcp/): AI co-workers, subagents, Agent Skills and custom MCP servers — built on Claude and governed from day one. - [MongoDB Atlas AI Search](https://www.humaineeti.ai/partnerships/mongodb-ai-search/): Vector, full-text and hybrid retrieval for RAG and agents on MongoDB Atlas, with Voyage AI embeddings and reranking. - [All partnerships](https://www.humaineeti.ai/partnerships/) ## Company - [About Us](https://www.humaineeti.ai/company/about-us/): A century of work behind the names: AWS, Google, IBM, Confluent, Microsoft, TCS, Cognizant, GroupM and Hoichoi. Today, we engineer governed, outcome-driven GenAI for the enterprise. Not intelligence for its own sake — intelligence held accountable. - [The Story](https://www.humaineeti.ai/company/the-story/): Six weeks. Forty-one candidates. One Sanskrit word. Here is the case study, with names removed only where they could embarrass us. - [Customers](https://www.humaineeti.ai/company/customers/): a select few of the enterprises we work with, across media, manufacturing and consumer goods. - [Success stories](https://www.humaineeti.ai/company/success-stories/): hand-picked customer stories, grouped by industry. - [Team](https://www.humaineeti.ai/company/team/): Chandra Sekhar Mukherjee (Head of Growth); Diptiman Raichaudhuri (Head of Engineering); Moniruddin Ahammed (Head of Applied AI); Aloke Majumder (Head of Technology); A Roy (Head of AI Research). - [Careers](https://www.humaineeti.ai/company/careers/): current openings are posted on LinkedIn — https://www.linkedin.com/jobs/humaineeti-jobs-worldwide?position=1&pageNum=0 - [Talk to us](https://www.humaineeti.ai/talk-to-us/): start an engagement. - [Request a demo](https://www.humaineeti.ai/demo/): a free, hands-on demo of any solution. - [Talk to us](https://www.humaineeti.ai/talk-to-us/): the one way in — form, email, WhatsApp, LinkedIn and offices. ## Resources Guides: https://www.humaineeti.ai/resources/ · Blog (separate host): https://blog.humaineeti.ai/ ### AI Consulting - [DPDP Act AI Compliance, India.](https://www.humaineeti.ai/resources/dpdp-act-ai-compliance-india/): DPDP Act 2023 + DPDP Rules 2025 for AI in India: phased timeline, consent, automated-decision rights, breach rules, and a practical compliance roadmap. - [GenAI Readiness Checklist](https://www.humaineeti.ai/resources/genai-readiness-checklist/): GenAI readiness assessment for Indian enterprises: 6 pillars, sample scorecard, DPDP-aligned governance, and the artefacts a real assessment must deliver. ### AI Engineering - [Agentic AI vs Generative AI.](https://www.humaineeti.ai/resources/agentic-ai-vs-generative-ai/): Agentic AI vs generative AI: GenAI answers; agentic AI acts. Definitions, architecture, examples, use cases, costs, and Indian enterprise patterns. - [AI Agent ROI Measurement.](https://www.humaineeti.ai/resources/ai-agent-roi-measurement/): AI agent ROI measurement framework: baseline metrics, financial impact mapping, parallel-run discipline, and the metrics boards actually want to see. - [Build vs Buy AI Agents.](https://www.humaineeti.ai/resources/build-vs-buy-ai-agents/): Build vs buy AI agents: TCO comparison, time-to-value, where competitive advantage lives, and the hybrid model most enterprises end up adopting. - [BYOM vs Vendor-Locked AI](https://www.humaineeti.ai/resources/byom-vs-vendor-lock/): BYOM (Bring Your Own Model) vs vendor lock-in: why model-agnostic AI architecture matters, decision matrix, and multi-LLM governance for Indian enterprises. - [GenAI Cost Optimisation.](https://www.humaineeti.ai/resources/genai-cost-optimization/): GenAI cost optimisation for enterprises: model routing, prompt discipline, caching, agent budget caps, FinOps for AI — the levers that move spend most. - [Model Context Protocol — Enterprise Guide.](https://www.humaineeti.ai/resources/model-context-protocol-mcp-enterprise/): What MCP is, why every major model provider adopted it, how to deploy MCP servers in the enterprise, and the security controls you need before production. - [Multi-Agent Orchestration — Framework Guide.](https://www.humaineeti.ai/resources/multi-agent-orchestration-frameworks/): Multi-agent orchestration frameworks compared: LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK. Production readiness, patterns, and selection. - [RAG vs Fine-Tuning](https://www.humaineeti.ai/resources/rag-vs-fine-tuning/): RAG vs fine-tuning for enterprise LLMs: when to use each, cost comparison, agentic RAG, GraphRAG, and a decision framework for Indian enterprises. - [SLM vs LLM — When Small Wins.](https://www.humaineeti.ai/resources/slm-vs-llm-enterprise/): Small language models vs large language models for enterprise: when SLMs match or beat LLMs, on-prem deployment, cost economics, and the patterns that work. - [What is Agentic AI?](https://www.humaineeti.ai/resources/what-is-agentic-ai/): What is agentic AI? A 2026 enterprise guide for India: how autonomous AI agents differ from GenAI, RPA & chatbots, with use cases, architecture & ROI. ### Agent Evaluations - [Agent Eval to Detect Drift & Prevent Hallucination](https://www.humaineeti.ai/resources/agent-eval-drift-hallucination/): AI agent evaluation framework for production: ground truth datasets, LLM-as-a-Judge, drift detection, hallucination scoring, and the evaluation flywheel. ### Agentic AI - [Agent Skills vs Frontier LLMs](https://www.humaineeti.ai/resources/agent-skills-vs-frontier-llm/): Why structured agent skills outperform raw frontier LLM intelligence for enterprise AI: composability, BYOM, evaluations, MCP integration, governance. ### Data Engineering - [Data Lakehouse Architecture — India Guide.](https://www.humaineeti.ai/resources/data-lakehouse-architecture-india/): Data lakehouse architecture for Indian enterprises: bronze-silver-gold, open table formats (Iceberg, Delta, Hudi), DPDP-aligned — with a BFSI blueprint. - [Text-to-SQL Needs a Semantic Layer.](https://www.humaineeti.ai/resources/text-to-sql-semantic-layer/): Text-to-SQL needs a semantic layer. Why naive NLQ fails on enterprise schemas, the architecture that fixes it, dbt MetricFlow, Cube, AtScale, LookML. - [Vector Database for the Enterprise.](https://www.humaineeti.ai/resources/vector-database-enterprise-india/): Vector database selection for enterprise RAG: Pinecone, Milvus, Weaviate, Qdrant, pgvector, OpenSearch. Trade-offs, deployment patterns, and India residency. ### GenAI Operations - [LLMOps in Production](https://www.humaineeti.ai/resources/llmops-production-guide/): LLMOps in production: agent observability, hallucination guardrails, drift detection, token cost management, and the operating model for enterprise GenAI. ### Industry - [AI in BFSI India.](https://www.humaineeti.ai/resources/ai-bfsi-india-use-cases/): Where AI is actually deployed in Indian banking, NBFCs, insurance, and capital markets in 2026 — KYC, fraud, credit, ops, and the regulatory frame. - [AI in Manufacturing India.](https://www.humaineeti.ai/resources/ai-manufacturing-india/): AI in Indian manufacturing: predictive maintenance, computer-vision QC, energy optimisation, GenAI on the shop floor — and what to build first. ### Responsible AI - [EU AI Act Compliance Guide](https://www.humaineeti.ai/resources/eu-ai-act-compliance/): EU AI Act compliance for Indian enterprises: high-risk classification, 2027–28 deadlines, Annex III scope, GDPR + DPDP alignment, conformity steps. - [Prompt Injection Defence for LLMs.](https://www.humaineeti.ai/resources/prompt-injection-defense-llm/): Direct vs indirect prompt injection, OWASP LLM01, real attack patterns, and the layered defences enterprises need before AI agents face customers. - [RBI FREE-AI Framework.](https://www.humaineeti.ai/resources/rbi-free-ai-framework/): The RBI FREE-AI Committee report (13 Aug 2025): 7 Sutras, 6 Pillars, 26 recommendations for responsible AI in Indian banks, NBFCs, and payment systems. - [Responsible AI in India](https://www.humaineeti.ai/resources/responsible-ai-india/): Responsible AI in India 2026: DPDP Act 2023, RBI FREE-AI, SEBI AI/ML reporting, NITI Aayog principles, and the governance posture every Indian enterprise needs. ## Optional - [Privacy Policy](https://www.humaineeti.ai/legal/privacy-policy/) - [Terms of Service](https://www.humaineeti.ai/legal/terms-of-service/) - [Sitemap](https://www.humaineeti.ai/sitemap.xml)