Architecture

Enterprise-Grade Architecture

Built on AWS with security, isolation, and scalability at every layer. Every operator runs in its own isolated environment — no shared compute, no shared data.

Channels

Telegram
Slack
Discord
Email
API

Messages arrive via any channel

OpFleet Platform

API Gateway

Auth & routing

AgentCore

Reasoning engine

Memory Layer

Persistent state

Tool Runtime

Secure execution

Processes, reasons, and orchestrates

Business Results

Tasks completed autonomously
Reports generated
Decisions surfaced
Workflows executed

Outcomes delivered 24/7

<100ms

API latency

99.9%

Uptime SLA

256-bit

AES encryption

SOC 2

Compliance ready

Security

Security is architecture, not a feature

Every layer of OpFleet is designed with isolation and defense in depth. Not bolted on after — built in from the start.

🔒

Per-Tenant Isolation

Every operator runs inside its own Firecracker microVM — fully isolated compute, memory, and network. No shared anything.

🛡️

Defense in Depth

4 security layers: network perimeter, compute isolation, data encryption, and content filtering. Each one independent.

🧪

Red Team Tested

62 adversarial tests across 12 attack categories — prompt injection, data exfiltration, privilege escalation. All defended.

📋

Compliance Ready

Architecture designed for SOC 2 Type II and GDPR compliance. Audit trails, data residency controls, and encryption at rest.

How It Works

From configuration to production

Three steps to a fully operational AI employee running on enterprise-grade infrastructure.

01

Configure your AI Employee

Define personality, skills, knowledge base, and communication channels. Choose from templates or build custom.

02

We deploy to isolated infrastructure

Your operator gets its own microVM on AWS, in your preferred region. Secrets, memory, and tools — all provisioned automatically.

03

Your employee starts working

24/7 operation with full persistent memory. Connects to your channels, learns your workflows, and executes autonomously.

System Data Flow

Complete message lifecycle from user input to AI response

1

User Message

Message sent via Telegram, Slack, or email

2

Router Lambda

Authenticates user, resolves identity & tenant, routes to AgentCore

3

AgentCore Runtime

Per-session container with Firecracker isolation. Boots in <5s.

4

Persona Loading

PERSONA.md, IDENTITY.md, PLAYBOOK.md injected from operator config

5

AI Processing

Claude Sonnet 4.6 via Bedrock with full tool access (web, browser, code, files)

6

Response Delivery

Progressive streaming back to user channel

Want the full technical deep dive?

Access our detailed architecture documentation — AWS topology, security layers, deployment flows, and data architecture.

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