Private, secure LLM deployments over your enterprise data and policies — combining the power of foundation models with the safety of your information governance. Your knowledge, your policies, your control.
Deploy LLM capabilities inside your enterprise without compromising data security, policy compliance, or regulatory posture. Built on leading foundation models (GPT-4, Claude, open-source) with retrieval-augmented generation over your enterprise knowledge.
Foundation models in your VPC or on-prem — your data never leaves
RAG architecture over your documents, SharePoint, Confluence, wikis
Enterprise SSO, row-level security, document-level permissions
Slack, Teams, email, web UI — meet users where they work
Data leak prevention, redaction, audit logging, GDPR/DPDP ready
GPT-4, Claude, Llama, open-source — pick what fits your workload
Assess your current state, identify gaps, scope the engagement against your goals and constraints.
Architecture, design, build, and integration — backed by CMMI 3 process maturity and CI/CD delivery practices.
Managed operations, continuous improvement, capability uplift, governance — partnership for the long haul.
How organisations are deploying private, domain-grounded large language models — and the architecture decisions that determine whether they deliver real value or remain a proof of concept.
When your proprietary knowledge base and customer data power your AI, public cloud APIs become a liability. We make the case for private LLM deployment — and explain when it is and is not necessary.
Read moreRetrieval-Augmented Generation solves the hallucination problem while keeping LLMs grounded in your data. This paper covers the chunking, embedding, and retrieval decisions that determine accuracy.
Read moreProductivity metrics alone undercount the value of Enterprise GPT. Our measurement framework captures time-to-decision, error reduction, knowledge retention, and competitive positioning.
Read moreThe gap between a mediocre and an exceptional enterprise AI deployment often comes down to prompt design. We share the patterns our practitioners use across support, legal, finance, and HR use cases.
Read moreWhether it's setting up your India GCC, modernizing your enterprise stack, or hiring 50 engineers in 30 days — we'd love to scope it with you.
