Real Enterprise Deployments

Multi-Agent AI Systemsin Production

Real deployments of coordinated agent systems. 3-6 specialized agents per system. 95%+ reliability at enterprise scale. Deployed entirely to client infrastructure.

2
Case Studies
100%
Data Sovereignty
Enterprise
Production Scale

Multi-Agent Systems, Not Demos

These aren't single chatbots or proof-of-concepts. These are coordinated agent systems with 3-6 specialized agents working together, running in production at enterprise scale with 95%+ reliability.

Complete Data Sovereignty

All data stays in client's AWS account, GCP project, or Azure subscription. Zero external dependencies.

Production Scale

Not demos or MVPs. These systems handle real enterprise workloads in production environments.

Client Owns Everything

Infrastructure, code, data, and models. Full ownership with no vendor lock-in. They control it all.

Healthcare Technology
Multi-Agent Mental Health AI
4 coordinated
Agent Count
<850ms
Crisis Detection
95%+
Success Rate

Therapeutic AI Platform with Multi-Agent Coordination

4 specialized agents coordinating multi-phase therapy with <850ms crisis detection

HIPAA-compatible multi-agent therapeutic system with 4 coordinated agents handling conversation phases, crisis detection, and CBT pattern tracking. 95%+ success rate. Deployed to client's AWS infrastructure.

4 AgentsHIPAA Compatible95%+ Success Rate
Key Highlights:
4-agent system: Phase Manager, Conversation, Crisis Detection, Pattern Tracking
Multi-phase coordination (Vent → Reflect → Reframe)
90% cost reduction via prompt caching
Deployed to client's AWS Bedrock account
View Full Case Study
Enterprise Technology
FinOps Automation Agents
470+
Billing Entities
3
Cloud Providers
Native
Agent Architecture

Multi-Cloud Cost Intelligence Agents

Coordinated agents for anomaly detection, reporting, and executive summaries

Agent-based cost intelligence system with specialized agents for daily aggregation, anomaly detection, and LLM-powered reporting across GCP, AWS, Azure. Deployed entirely to client infrastructure.

Multi-Agent3 Cloud ProvidersProduction Scale
Key Highlights:
Specialized agents per cloud provider (GCP, AWS, Azure)
Aggregation → Detection → Reporting agent pipeline
LLM agent for executive summary generation
Zero external dependencies, full data sovereignty
View Full Case Study

Data Sovereignty: Our Core Principle

Every project showcased here follows the same principle: your data stays in your environment. We don't believe in SaaS AI solutions that require sending sensitive data to external providers.

Deploy to Your Cloud Account
AWS, GCP, Azure, or on-premise
No External APIs
All processing in your environment
You Own Everything
Code, data, models, infrastructure
GDPR/HIPAA Ready
Compliance by design

Ready to Build Your AI System?

Let's discuss how we can build a custom AI solution deployed entirely to your infrastructure. Your data, your environment, your control.