ORCHESTRATORSemantic KernelRETRIEVERRAG AgentANALYZERLLM ReasoningEXECUTORMCP ActionsMCP SERVERTools • Context • ResourcesVECTOR STOREPineconeCONTEXTMemorySTATEPersistenceA2AMCP
Agentic Intelligence Studio

Multi-Agent____________.

Enterprise Ready.

We turn paperwork bottlenecks into 48-hour turnarounds. AI systems that read, analyze, and verify, so you can decide faster.

MCP
A2A
Agentic RAG
The Architecture

Agentic RAG. Sovereign Context.

Beyond static retrieval. Agents that perceive, decide, and act across your enterprise knowledge.

Intelligent Indexing

Agents autonomously decide what to store and how to structure it. Dynamic chunking, metadata extraction, and context-aware embeddings.

Dynamic Retrieval

Retriever routers analyze each query and select the optimal source—SQL, vector search, web, or internal docs.

Verified Generation

Critic agents validate outputs through iterative loops. Human-in-the-loop approval before delivery.

Measurable Impact

Results That Matter

0%
Time Saved
On document processing
0.0%
Accuracy
With human-in-the-loop
0%
Cost Reduction
Vs. manual workflows
0h
Feasibility
Inquiry to architecture
ZONE IQ™ ACTIVE
MCP INTEGRATED
AGENTIC RAG ONLINE
A2A PROTOCOL READY
SOVEREIGN NODE SECURE
MULTI-AGENT SWARM
VECTOR SEARCH LIVE
CONTEXT OPTIMIZED
Protocol Integration

MCP + A2A Native

Model Context Protocol standardizes how AI interacts with your tools and data. Combined with A2A Protocol, your agents can communicate across platforms—regardless of vendor.

Eliminate 1,200+ daily context switches
Standardized tool integration via MCP
Agent interoperability via A2A
Enterprise-grade security by design
CONTEXT_PROTOCOL_FLOW
01
MCP HOST
AI application environment
02
MCP CLIENT
Protocol translator
03
MCP SERVER
External context provider
04
A2A DISCOVERY
Agent capability cards
05
TASK EXECUTION
Multi-agent coordination
Reference Architecture

Zone IQ™

Multi-agent geospatial reasoning for pre-construction risk analysis. Cross-referencing 400+ municipal bylaws in milliseconds.

Multi-Agent Reasoning
Parallel agent swarms for complex analysis
Sovereign RAG
Private knowledge graphs, zero data leakage
MCP Integration
Standardized context management for tools
A2A Protocol Ready
Interoperable with enterprise agent ecosystems
About ESInnov

AI That Works.
Results You Can Measure.

ESInnov builds practical AI systems that automate complex, time consuming work in your business. We take what's possible with modern AI and turn it into tools you can actually use, today.

We focus on what matters to you: saving time, reducing costs, and getting more done with fewer resources.

We deploy systems that are proven and production ready, not experiments
We measure success by real outcomes: hours saved, errors reduced, decisions accelerated
Your team stays in control with human review on every critical decision
Common Questions

FAQs

Get Started

Ready to Build?

Share your use case. We'll assess architecture fit and deliver a feasibility study within 48 hours.

Tech Stack
🔗LangChain
OpenAI
Anthropic
Google AI
🌲Pinecone
Supabase
n8n
Qdrant
🦙LlamaIndex
Redis
🐘PostgreSQL
🐳Docker
AWS
Vercel