A governed platform for teams that need AI to work reliably, at scale, in production.
elsai Foundry gives enterprises a structured, repeatable way to design and deploy AI agents across complex, regulated workflows. It replaces ad hoc builds with an operating standard your teams can scale on and your risk teams can approve.
Every agent runs within a governed framework compliance controls, human oversight, and full observability built in from day one. Not retrofitted. Not optional.
The result is a durable AI capability that compounds not a collection of pilots that stall before they reach production.
Governance-first architecture
Policy enforcement, PII redaction, and guardrails built into the core not added after deployment.
Domain-aware by design
Deep vertical intelligence for healthcare, life sciences, BFSI, and logistics not generic automation.
Full observability with ARMS
Every token, decision, and cost tracked. Defensible audit trails from day one.
Cloud and LLM agnostic
AWS, Azure, GCP, or on-premises. 100+ LLMs supported. No lock-in.
Production-ready in 4–6 weeks
200+ pre-built tools and a right-sized intelligence model. Ship fast, scale without rebuilding.
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Observability
ARMS
Agent observability
Token tracking
Logging
Alters & notifications
Multi-agent workflow
Agent orchestration
Prebuild agents
Reconciliation
Procurement
Customer support
and more..
Compliance & security
Guardrails
Protection against 10+ Vulnerabilities
Prompt CI/CD
Prompt manager
Auto prompt optimiser
Prompt versioning
Prompt testing and simulation
Framework & components
elsai core
Intelligence
LLM router
LLM router
Context Engineering
Purpose built
3rd party tools
200+ tools
Short term memory
External connectors
Long term memory
5+ RAGs
Utilities
MCP
Speech services
Monitoring
System metrics
Cost tracking
Agent decision tracking
Execution logs
OCR metrics
Success / error analytics
Define the workflow and guardrails
Choose the process, map stages (intake, analysis, decision, action), and capture the regulatory and policy constraints that can never be broken.
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Design agent roles and responsibilities
Split the workflow into specialized agents intake, enrichment, analysis, decision, action, followup with explicit humanintheloop points where necessary.
Connect systems, data, and tools
Wire agents to LLMs, RAG knowledge bases, OCR, and enterprise APIs so they can read documents, query records, and trigger downstream updates autonomously.
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Embed safety and behavior controls
Apply guardrails on inputs and outputs, and define prompts/templates that encode business rules, escalation paths, and tone so agents know what they can and cannot do.
Simulate, observe, and refine
Run the workflow in a controlled environment, inspect traces and metrics endtoend, and refine prompts, thresholds, and handoffs until it meets your accuracy and risk thresholds.
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Deploy, monitor, and scale
Promote the workflow to production with versioned configs and live observability, then reuse the same pattern to stand up agents for adjacent workflows from the same platform.
DocLoom and DocAudit
DocLoom and DocAudit
DocLoom extracts structured data from any document PDFs, scans, handwritten forms via a multi-engine OCR stack. DocAudit runs automated compliance audits, flagging deviations and policy violations before they reach downstream workflows.
AWS Textract
VisionAI
Mistral OCR
DOCX
Images View docs
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DocLoom and DocAudit
Multi-provider model connectors
Unified connector across OpenAI, Azure, Bedrock, Gemini, and LITELLM with async support and streaming. Right-sized intelligence LLMs for reasoning, SLMs for speed. Swap models without touching workflow logic.
elsai-model
100+ LLMs
Async + streaming View docs
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Retrieval
Hybrid RAG and graph intelligence
Dense semantic search combined with BM25 for high-relevance retrieval. Graph RAG enables relationship-aware reasoning across contracts, entities, and obligations. Vector storage via Pinecone and ChromaDB.
elsai-retrievers
elsai-graph-query-rag
BM25 + semantic View docs
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Integration
Cloud and DB connectors
Native connectors for AWS S3, Azure Blob, SharePoint, OneDrive, and Outlook. SQL and natural language interfaces for structured data sources. Secure token management zero data egress.
elsai-cloud-connectors
elsai-db-connectors
AWS
Azure
SharePoint View docs
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Prompt management
Centralised prompt registry version
Controlled prompt store with rollback and full traceability. Domain experts, risk, and engineering share one source of truth no hidden prompt logic, no drift between environments
elsai-prompts
Versioning
Rollback View docs
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Platform services
NLI, speech, and graph construction
Intent classification and entity extraction via NLI. Voice and audio input via Whisper STT. Knowledge graph construction from unstructured content for relationship-driven agent reasoning.
elsai-nli
Whisper STT
elsai-graph-constructor View docs
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