Technical Architecture

Technology Architecture

How ERAIOS is built — the engineering behind enterprise-grade AI at scale.

AI Orchestration Layer

ERAIOS operates a proprietary multi-model AI orchestration engine that routes tasks to the optimal model based on task type, latency requirements, cost constraints, and output accuracy benchmarks. No single model dependency — the platform is model-agnostic by design.

Multi-model routing: GPT-4 class, Claude-class, and open-weight models selected per task at runtime
Prompt governance: all system prompts are version-controlled, auditable, and customer-configurable within guardrails
Output validation layer: structured output enforcement using JSON Schema and custom business-rule validators before any action is executed
Human-in-the-loop gates: configurable approval thresholds — AI acts autonomously below threshold, escalates above it
Full audit trail: every AI decision is logged with input, reasoning, output, model version, and timestamp — immutable and exportable

API & Integration Architecture

All ERAIOS APIs follow the OpenAPI 3.0 specification. Documentation, sandbox environment access, and Postman collections are available for qualified enterprise evaluations. Contact hello@eraios.ai — subject: API Docs Request.

Protocol: REST over HTTPS (TLS 1.3). Webhooks for event-driven integrations.
Authentication: OAuth 2.0, API key, SSO/SAML 2.0 — all endpoints require authentication
Rate limiting: per-tenant, per-endpoint rate limits with burst allowance and graceful 429 responses
Native connectors: SAP, Oracle ERP, Salesforce, ServiceNow, Workday, Microsoft Dynamics 365, NetSuite, and 50+ more
Custom connectors: build via the Integration SDK — any system with a REST or SOAP API is connectable
Outbound-only architecture: ERAIOS initiates all connections to your systems via port 443. No inbound firewall rules required.

Infrastructure & Deployment

Cloud providers: AWS, Microsoft Azure, Google Cloud Platform
Deployment model: fully managed SaaS (default), private cloud, or on-premise for strict data residency
Tenancy: dedicated tenant per enterprise customer — no shared compute, storage, or queues between customers
Regions: AWS (us-east-1, eu-west-1, me-south-1), Azure (eastus, westeurope), GCP (us-central1)
Availability: minimum 2 availability zones per region; 99.9% uptime SLA for Enterprise tier
Scaling: horizontal auto-scaling — compute scales with workload, not billed per seat above contracted AI Employee count

Data Architecture

Encryption at rest: AES-256 with HSM-backed key management (platform-managed default)
Encryption in transit: TLS 1.3 on all connections
BYOK / Customer-managed keys: AWS KMS, Azure Key Vault, or Google Cloud KMS (Enterprise+ tier)
Data residency: your data never leaves your contracted cloud region without explicit written consent
Replication: minimum 2 availability zones within region; cross-region available for Enterprise+
Retention: audit logs retained for 7 years by default; configurable per customer

Enterprise Knowledge Brain

The Knowledge Brain is ERAIOS's centralised retrieval system — a vector-indexed, semantically searchable store of your enterprise's documents, policies, contracts, and operational data. Every AI Employee queries it in real time before taking action.

Ingests: PDFs, Word documents, Excel files, SharePoint, Confluence, Notion, structured database exports
Indexing: automatic chunking, embedding, and vector indexing — no manual tagging required
Access control: document-level permissions inherited from source system — AI Employees only retrieve what the requesting user is authorized to see
Freshness: continuous ingestion pipeline — changes in source systems reflected within minutes

AI Employee Technical Specifications

Finance AI Employee

Procurement AI Employee

HR AI Employee

Recruitment AI Employee

Compliance AI Employee

Sales AI Employee

Customer Service AI

Executive Assistant AI

Invoice Recovery AI

Each AI Employee is purpose-trained for its function using a combination of fine-tuning, retrieval-augmented generation (RAG), and structured output enforcement. Configuration parameters — approval thresholds, escalation rules, output formats — are set per customer during onboarding and adjustable at any time via the ERAIOS admin console.

Developer Access

API documentation (OpenAPI 3.0 spec), sandbox environment credentials, and integration guides are available for qualified enterprise evaluations.

Request access: hello@eraios.ai
Subject line: API Docs Request — [Your Company Name]
Response within 1 business day.