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✦ENTERPRISE ARTIFICIAL INTELLIGENCE LAB

Practical AI solutions for
real business workflows.

Krusam helps businesses add AI where it can deliver a useful operational benefit—from searchable knowledge bases and document processing to customer-support assistants and workflow automation. We design around data permissions, monitoring, evaluation and human review for sensitive actions.

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Agentic Architecture

Autonomous Multi-Agent Orchestration

Move beyond brittle chat interfaces. We engineer coordinated multi-agent systems where specialized AI workers collaborate, execute APIs and database queries, perform validation, and verify outputs deterministically.

Key Frameworks
LangGraphCrewAIPython FastAPIFunction Calling
Custom agentic workflows with human-in-the-loop review switches.
Information Retrieval

Production RAG & Hybrid Vector Search

High-precision retrieval across enterprise documents. Combining dense vector embeddings with keyword matching and rerankers to reduce unsupported answers and provide verifiable source citations.

Key Frameworks
QdrantPineconepgvectorCohere RerankLangChain
Semantic search engine with page-level citation audit trail.
Data Ingestion

Document Intelligence & Extraction

Transform PDF invoices, regulatory filings, scanned receipts, and technical manuals into structured, validated JSON schemas with automated tabular extraction and OCR parsing.

Key Frameworks
Unstructured.ioTesseract / TextractVision ModelsPydantic
Automated ingestion pipeline feeding directly to core business databases.
Data Privacy & Governance

Private Deployment & Controlled Inference

Data retention and model-provider settings specified by deployment. For organizations with strict compliance requirements, we deploy open-weights models within your private cloud VPC or on-premise infrastructure.

Key Frameworks
vLLMOllamaTriton ServerHugging FaceAWS Bedrock
Deployment and data residency choices documented in the agreement.
✦ Architecture Benchmark

Why Generic LLM Wrappers Fail & How Krusam Delivers

Standard consumer prompts cannot handle complex enterprise logic. Here is how our production architecture separates signal from noise.

✕ Naive / Off-The-Shelf Wrappers
  • ✕Direct prompt stuffing leading to high latency and context truncation
  • ✕Unverified hallucinations with zero verifiable source citations
  • ✕Company confidential files transmitted to third-party public training clusters
  • ✕Single-step response with no ability to call internal APIs or execute workflows
✓ Krusam Production AI Standard
  • ✓Hybrid Vector + BM25 RAG with deterministic page and line citations
  • ✓Evidence-grounded responses with evaluation and fallback mechanisms
  • ✓Data retention and model-provider settings specified by deployment
  • ✓Structured tool execution integrated into your CRM, database, and ERP

Enterprise Security & Compliance First

Data retention agreements per deployment. Encrypted at rest (AES-256) and in transit (TLS 1.3). Role-based ACLs.

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