Enterprise RAG chatbots grounded in your private knowledge — with BI dashboard integration, causal graph reasoning, and multi-agent orchestration. Powered by OpenAI GPT, Anthropic Claude, and Google Gemini.
Our RAG pipelines don't hallucinate. Every answer is grounded in your verified, version-controlled knowledge base.
Our chatbots don't guess. They retrieve relevant context from your internal knowledge, pass it through an LLM with strict grounding constraints, and deliver answers with citations — in under 1.5 seconds.
Connect PDFs, databases, APIs, SharePoint, Confluence and real-time feeds into a single knowledge fabric. Our retrieval pipelines use hybrid dense + sparse search (BM25 + FAISS) for maximum recall.
Embed conversational interfaces directly into Power BI, Tableau, Metabase or custom dashboards. Ask natural-language questions and get instant chart insights, anomaly summaries and drilldowns.
Go beyond correlation. Our LLM agents traverse causal Bayesian networks to explain *why* metrics changed, not just what changed — enabling root-cause attribution at scale.
Deploy specialist sub-agents — Researcher, Validator, Summariser, Code Executor — coordinated by a supervisor LLM using ReAct and Chain-of-Thought patterns via LangGraph or AutoGen.
Role-based access control at retrieval time, PII redaction, on-prem deployment options, and full audit logging. All LLM interactions are logged, traceable and compliant with ISO 27001 practices.
User feedback signals fine-tune retrieval ranking weekly. Embeddings refresh automatically when knowledge bases update — ensuring your chatbot stays current without manual retraining.
Potential annual value that generative AI could add to the global economy across use cases in customer operations, marketing, sales, software engineering and R&D.
Will have deployed RAG-based AI assistants in internal operations by 2026, up from 15% in 2023 — signalling rapid mainstream adoption across verticals.
Knowledge workers using AI-augmented chat interfaces demonstrated a 37% improvement in task completion speed vs. traditional search and documentation workflows.
Global market for conversational AI platforms by 2028 (CAGR 24%), led by domain-specific RAG applications in legal, finance, healthcare and enterprise IT.
Ask legal documents questions, extract clauses, flag risks and summarise NDAs in seconds.
Query live financial data, generate P&L summaries, detect anomalies and predict cash flow.
Handle 80%+ of tier-1 tickets with personalised, accurate answers grounded in your knowledge base.
Answer codebase questions, explain pull requests, generate unit tests — all within Slack or VS Code.
Answer policy queries, route leave requests, and accelerate new-hire onboarding 3× faster.
Natural-language access to policy libraries with full citation, traceable to source documents.
We use the best LLMs and RAG infrastructure in the world.
From scoping to deployment in 4–6 weeks. We handle the LLM selection, embedding pipeline, retrieval tuning, and BI integration — you just get results.
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