Memra Architecture - How It Works

How Memra Works

See how our multi-agent system processes invoices from PDF to payment in minutes with 99.8% accuracy

The Process

Six intelligent steps from document to payment

1

Ingest

Multi-channel document capture

2

Extract

AI-powered data extraction

3

Validate

3-way matching verification

4

Write

Secure database storage

5

Pay

Automated ACH payments

6

Analyze

Real-time insights

Key Components

M

Master Agent Orchestrator

The brain of the operation, intelligently spawning and coordinating specialized agents based on document type and workflow requirements.

  • Dynamic agent allocation
  • Error handling & retry logic
  • Performance optimization
S

Specialized Agents

Purpose-built agents that excel at specific tasks, working in parallel to maximize throughput and accuracy.

  • Schema & PDF extraction
  • AI-powered data processing
  • Validation & verification
D

Data Pipeline

Seamless data flow from ingestion to payment, with built-in validation and error correction at every step.

  • Multi-source ingestion
  • Real-time processing
  • Automated reconciliation
V

Vision AI Model

Advanced computer vision model specifically trained for financial document understanding and data extraction.

  • 99.8% extraction accuracy
  • Multi-format support
  • Self-learning capabilities

Technical Architecture

Dive deeper into our multi-agent orchestration system. This diagram shows how specialized agents work together to process your financial documents with enterprise-grade reliability.

graph TB %% Start and Master Agent Start([User Request /
Automated Trigger]) --> MA{Master Agent
Orchestrator} %% Master Agent spawns specialized agents MA -.->|spawns| SA[Schema Agent] MA -.->|spawns| PA[PDF Agent] MA -.->|spawns| EA[Extraction Agent] MA -.->|spawns| VA[Validation Agent] MA -.->|spawns| WA[Writer Agent] MA -.->|spawns| PYA[Payment Agent] MA -.->|spawns| QA[Query Agent] %% Schema Discovery Path SA --> DB[(Enterprise
Database)] DB --> |retrieves| SCH[Database
Schema] %% Document Processing Path PA --> PDF[PDF Document] PDF --> |converts to| SS[Screenshots /
Images] %% Extraction Path SCH --> MV{Memra Vision
Model} SS --> MV MV --> |outputs| JSON[Structured JSON
Key-Value Pairs] %% Validation Path EA --> JSON JSON --> VA VA --> |3-way match
PO validation| VJSON[Validated
JSON] %% Write Path VJSON --> WA WA --> PG[(PostgreSQL
Database)] WA --> ERP[(ERP System /
GL Codes)] %% Payment Path PG --> PYA PYA --> ACH[ACH Payment
Generation] ACH --> BANK[Bank Transfer
Initiated] %% Query Path (Text-to-SQL) PG --> QA QA --> SQL[Text-to-SQL
Queries] SQL --> RPT[Reports /
Analytics] %% ETL Path PG --> ETL[ETL Processes] ETL --> DW[(Data
Warehouse)] %% End states BANK --> End1([Payment
Complete]) RPT --> End2([Data
Accessible]) DW --> End2 %% Styling classDef masterNode fill:#fae8ff,stroke:#e879f9,stroke-width:3px,color:#000 classDef agentNode fill:#fef3c7,stroke:#fbbf24,stroke-width:2px,color:#000 classDef dataNode fill:#dbeafe,stroke:#3b82f6,stroke-width:2px,color:#000 classDef processNode fill:#d1fae5,stroke:#10b981,stroke-width:2px,color:#000 classDef dbNode fill:#f3f4f6,stroke:#6b7280,stroke-width:2px,color:#000 classDef modelNode fill:#fae8ff,stroke:#e879f9,stroke-width:2px,color:#000 classDef startEnd fill:#1a1a2e,stroke:#1a1a2e,stroke-width:2px,color:#fff class Start,End1,End2 startEnd class MA masterNode class SA,PA,EA,VA,WA,PYA,QA agentNode class PDF,SS,SCH,JSON,VJSON,SQL,RPT,ACH,BANK,ETL dataNode class MV modelNode class DB,PG,ERP,DW dbNode

Enterprise-Grade Security

SOC 2 Type II

Certified compliant

AES-256

End-to-end encryption

Private VPC

Isolated infrastructure

Performance at Scale

Real-time metrics that speak for themselves

99.8%
Accuracy Rate
<3min
Processing Time
10k+
Daily Transactions
$0.15
Per Invoice

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