Your AI Infrastructure for Financial Services

Deploy Eldric on your own infrastructure and train custom models that understand your specific documents, policies, and workflows. These models become reusable assets across departments - train once on compliance docs, use everywhere compliance questions arise.

All data stays within your network. All models run in your Eldric cluster. Full control, full ownership.

Core Capabilities

Enterprise Ready

Document Processing & Knowledge Q&A

Ingest policy documents, procedures, regulations into your private RAG system. Staff and customers query the knowledge base in natural language. Answers come with source citations for verification.

Train custom models on your specific document formats - these models can then be reused across loan processing, compliance, and customer service workflows.

Components: Data Worker (RAG), Agent Worker (multi-step retrieval)

Enterprise Ready

Customer Service Automation

Receive inquiries via Email, SMS, WhatsApp, Teams. Automatically route to appropriate department. Generate draft responses for human review or auto-respond to common queries.

Your trained model learns your bank's terminology, products, and response style - consistent service across all channels.

Components: Comm Worker (protocols), Agent Worker (classification)

Enterprise Ready

Report Generation & Analysis

Query databases, aggregate data, generate formatted reports. Summarize large document sets. Create meeting notes from audio recordings. Transform raw data into actionable insights.

Components: Data Worker (SQL), Media Worker (transcription), Swarm (multi-step)

Enterprise Ready

Compliance Query Assistance

Answer questions about regulations from ingested compliance documents. Staff asks: "What are the KYC requirements for this type of account?" - instant retrieval with document citations.

Build your compliance knowledge base - the same RAG system serves compliance officers, loan processors, and customer-facing staff.

Components: Data Worker (RAG), Agent Worker

Enterprise Ready

Fraud Pattern Analysis

Analyze transaction descriptions and flag unusual patterns based on your defined rules. Feed transaction narratives through trained models to identify anomalies for human review.

Components: Agent Worker, Swarm

Your Models, Your Cluster, Your Control

Train Once, Deploy Everywhere

Fine-tune models on your specific banking documents and terminology. These become reusable assets:

  • Compliance Model: Trained on regulations and policies - serves compliance, audit, and legal teams
  • Product Model: Trained on product documentation - serves customer service, sales, and onboarding
  • Operations Model: Trained on procedures - serves back-office operations across branches

Complete Data Sovereignty

Your Eldric cluster runs entirely on your infrastructure:

  • Customer data never leaves your network
  • No external API calls - local LLMs via Ollama or vLLM
  • Multi-tenant isolation for different business units
  • Full audit logging for regulatory compliance

Loan Application Support Workflow

Customer Submits docs Media Worker OCR/Transcribe documents Data Worker Store in RAG + query DB Agent Worker Check completeness flag missing items Comm Worker Request missing docs via email Human Review Loan officer makes decision Comm Worker Notify customer of decision Automation Benefits: Faster document intake, automatic completeness checking, instant customer communication. Human officers focus on decisions, not paperwork. Same trained model serves all loan types.

Implementation Workflow

1

Document Ingestion

Customer uploads loan application, pay stubs, tax returns. Media Worker extracts text via OCR. Data Worker stores in tenant-isolated RAG namespace.

2

Completeness Check

Agent Worker compares uploaded documents against required checklist. Identifies missing items automatically. Generates list for human review or direct customer communication.

3

Customer Communication

If documents missing, Comm Worker sends email requesting specific items. Customer can reply with attachments. Full conversation tracked in system.

4

Officer Support

Loan officer queries: "Summarize this applicant's income sources" or "What is their debt-to-income ratio based on the submitted docs?" Agent Worker retrieves and synthesizes from RAG.

5

Human Decision & Notification

Loan officer makes the approval decision. Eldric drafts the notification letter based on templates. Human reviews and sends with one click.

Technical Deployment

Component Purpose Deployment
Controller Cluster orchestration 1 instance (HA: 2)
Data Worker RAG storage, DB queries On-premise (data residency)
Agent Worker Document analysis, Q&A 1-3 based on load
Comm Worker Email integration 1 instance
Media Worker OCR, transcription As needed for document processing
LLM Backend Inference Local Ollama/vLLM - your trained models

Security & Compliance Features

Data Residency

All components run on-premise. Customer data never leaves your infrastructure. No cloud LLM APIs required - use local Ollama with your trained models.

Multi-Tenant Isolation

Data Worker provides tenant-level isolation. Each customer's documents stored in separate namespace with access controls.

Audit Logging

All queries and responses logged. Swarm provides task execution history. Comm Worker tracks message history. Full audit trail for regulators.

Model Ownership

Models you train are yours. Deploy them across multiple use cases. No vendor lock-in - standard formats compatible with Ollama, vLLM, and other backends.

Getting Started

Deploy your first banking AI workflow:

  1. Deploy Eldric cluster on your infrastructure
  2. Ingest your compliance and product documentation
  3. Fine-tune models on your specific terminology
  4. Connect communication channels (email, SMS)
  5. Train staff on querying the system

Result: A reusable AI infrastructure that serves compliance, customer service, and operations from the same knowledge base.

Build Your Banking AI Infrastructure

Let's discuss how to deploy Eldric for your specific workflows.

Contact Sales