Agent Native
Infrastructure
Your AI is only as smart as the context it has. We turn your disconnected business systems into a unified intelligence layer agents can reason over.
Built for agent-speed workloads.
The Tool Your AI Wants to Use
What You Have Today
- 🔌Disconnected APIs
- ⏰Batch syncs
- 🗃️Siloed data
- 🐌Human-speed design
- 🔗Point-to-point integrations
Agent-native infrastructure layer
What Agents Need
- 🧠Unified context
- ⚡Real-time events
- 🕸️Knowledge graphs
- 🚀Agent-speed APIs
- 🔮Cross-system reasoning
Current integrations were built for humans—developers clicking buttons, reading dashboards.
Agents need infrastructure built for agents—unified context, real-time events, cross-system reasoning.
We provide the infrastructure layer that makes your entire business legible to AI.
Integration Was Built Backwards
Current integrations were designed for humans. Agents need something fundamentally different.
Built for Humans
APIs designed for developers clicking buttons, not agents making thousands of requests.
- •Rate limits that throttle agent workloads
- •Authentication flows built for humans
- •Documentation written for manual integration
- •Response formats optimized for display, not reasoning
Siloed by Design
Each system is an island. AI can't reason across your business when context is fragmented.
- •ERP doesn't talk to CRM natively
- •Payments disconnected from orders
- •Customer data scattered everywhere
- •No unified view for AI to consume
Batch, Not Real-Time
Nightly syncs in an agent-speed world. By the time data arrives, the opportunity is gone.
- •Daily/hourly sync schedules
- •Stale data drives wrong decisions
- •No event streams to react to
- •Agents need real-time, not batch
Your AI agents deserve better infrastructure.
Not more integrations. A different paradigm.
Agent-native means built from the ground up for how AI actually works.
Infrastructure AI Agents Actually Want
The missing layer between your business systems and the AI agents that need to understand them.
Unified Business Context
One graph connecting ERP, CRM, payments, inventory, and beyond. AI sees your entire business as one connected system.
- ✓Cross-system entity resolution
- ✓Relationship mapping
- ✓Unified customer view
- ✓Real-time context updates
Agent-Speed APIs
Designed for high-frequency, low-latency agent workloads. No rate limits. No throttling. Built for thousands of requests.
- ✓Sub-100ms response times
- ✓Batch operations native
- ✓Streaming support
- ✓Agent auth patterns
Real-Time Event Streams
React instantly, not on batch schedules. Every business event becomes a trigger your agents can act on.
- ✓Change data capture
- ✓Event sourcing built-in
- ✓Pub/sub architecture
- ✓Webhook automation
What Your Agents Experience
Without Agent Native Infrastructure
- 🏝️Siloed system access
- ⏰Stale batch data
- 🚫Rate-limited APIs
- 🔗Manual entity mapping
- 🧩Fragmented context
Agents struggle. Context is incomplete. Work is slow.
With Agent Native Infrastructure
- 🕸️Unified knowledge graph
- ⚡Real-time events
- 🚀Agent-speed APIs
- 🎯Auto entity resolution
- 🧠Complete business context
Agents thrive. Context is complete. Work flies.
Stop building infrastructure. Start deploying agents.
We handle the plumbing. You focus on the intelligence.
Agent-Speed Economics
Stop building infrastructure. Start deploying agents. Usage-based pricing that scales with your workloads.
Building agent infrastructure in-house = months of work, ongoing maintenance, hidden costs.
Using agent-native infrastructure = deploy today, pay for what you use, scale instantly.
Build It Yourself
| What You Need | Cost | Time |
|---|---|---|
| Integration infrastructure | $50K+ | Months |
| Entity resolution logic | Engineering time | Weeks |
| Real-time event system | AWS bills + DevOps | Ongoing |
| Maintenance & scaling | Dedicated team | Forever |
With Agent Native Infrastructure
| What You Get | Cost | Time |
|---|---|---|
| Full infrastructure | Usage-based | Instant |
| Pre-built ontologies | Included | Ready |
| Event streams | Per event | Live |
| Maintenance & scaling | Handled | Always |
Usage-Based
Pay for what you use. Scale up or down instantly.
Transparent
No "contact us for pricing" games. See costs upfront.
No Lock-In
Standard APIs. Your data. No proprietary traps.
The Math Is Simple
Building agent infrastructure = months + $100K+ + ongoing maintenance
Using agent-native infrastructure = today + usage costs + we handle the rest
Spend your budget on intelligence, not plumbing.
Ask Smart Questions Across Your Entire Business
The Connected Intelligence Layer links your systems into a unified knowledge graph—so AI can answer questions that span ERP, CRM, payments, inventory, and beyond.
Traditional integrations move data. We capture meaning.
Point-to-point integrations break when systems change
Batch syncs miss real-time opportunities
AI can't reason across disconnected systems
Knowledge Graph
Maps relationships across all your enterprise systems. Customer connects to Orders connects to Items connects to Vendors connects to Payments. Entities resolve across systems automatically.
System Ontologies
The Rosetta Stone between systems. Pre-built translations between ERP, CRM, payments, and inventory concepts. AI understands what "Customer" means everywhere.
API-First Architecture
Clean REST/GraphQL APIs designed for both developers AND AI agents. Build agent solutions without deep system expertise. LLMs consume our APIs natively.
The "Smart Question" Example
"Show me all suppliers whose products appear in orders from customers who churned last quarter"
This question requires traversing 4 entities across multiple systems and understanding time-based status. Without a unified graph, it's hours of manual work or custom development.
AI is only as smart as the context it has.
Why the Connected Intelligence Layer matters for agents:
Context for Queries
AI needs to understand relationships to answer "show me orders for this customer across all channels"
Data Enrichment
Answers are incomplete without pulling related data from connected entities across systems
Multi-Hop Reasoning
Complex questions require following chains across multiple systems in real-time
Why competitors can't easily replicate this:
Pre-built Ontologies
We've already mapped common enterprise systems. You don't start from scratch.
Graph + Events Together
Most have one or the other. We have both working in harmony.
Performance Tuned for AI
Optimized for traversals, aggregations, and real-time query patterns.
Your systems stop being isolated.
AI sees them as one connected knowledge graph.
Who's Building on Agent Native Infrastructure
Whether you're deploying agents for your business or building agent products.
Enterprises Deploying Agents
AI initiatives that need business context
The Pain: Your AI agents can't reason across your business because systems are siloed and context is fragmented.
Give your agents unified business context. Deploy AI that actually understands your operations.
Why enterprises choose us:
- ✓Built by integration veterans
- ✓Transparent, usage-based pricing
- ✓No big upfront cost
- ✓Isolated tenancy (your data stays yours)
Teams Building Agent Products
Ship faster on agent-native infrastructure
The Pain: Building the infrastructure layer for every agent project is slow and expensive. You'd rather focus on agent logic.
Stop rebuilding infrastructure. Start shipping agents on a platform designed for AI workloads.
Why builders choose us:
- ✓APIs designed for AI consumption
- ✓Pre-built system ontologies
- ✓White-label or co-branded options
- ✓Focus on agent logic, not infrastructure
| Enterprises | Agent Builders | |
|---|---|---|
| Pain | "AI can't see across our systems" | "Building infra for every project" |
| Promise | "Unified business context" | "Ship agents, not infrastructure" |
| Pricing | "Usage-based, transparent" | "Pass through cleanly" |
| Trust | "Integration veterans" | "AI-native architecture" |
Built by Integration Veterans, Designed for AI
We've spent years connecting enterprise systems. Now we've built what AI agents actually need.
Integration Veterans
- •Decades of enterprise integration experience
- •Built complex system architectures at scale
- •Deep understanding of ERP, CRM, and business systems
AI-Native Thinking
- •Designed for agent workloads from day one
- •Context engineering and orchestration patterns
- •Multi-agent system architecture expertise
Performance Obsessed
- •Sub-100ms API response times
- •Optimized for high-frequency agent queries
- •Real-time event processing at scale
We kept seeing the same pattern: teams wanting AI capabilities but lacking the infrastructure to support them. So we built what agents actually need—unified context, real-time events, and APIs designed for AI.
Built by integration experts. Designed for AI agents.
What We're Not
Clear about what we are—and what we refuse to be.
Another iPaaS or integration platform
A chatbot or AI assistant vendor
Enterprise software with hidden pricing
"Contact us for pricing" games
Point-to-point integration tools
The infrastructure layer AI agents need to understand your business. Transparent pricing. Usage-based costs. Agent-native architecture.
Start Building Agent-First
See what becomes possible when infrastructure is designed for AI.
For Enterprises
- ✓See your business as AI sees it
- ✓Watch context unify in real-time
- ✓Ask us your hardest question
For Agent Builders
- ✓Stop rebuilding infrastructure
- ✓Ship agents faster
- ✓Clean APIs for AI workloads
Or reach out directly:
Email hello@adteco.com
Subject: "show me" + your most complex AI infrastructure question
The infrastructure. The context. The APIs.
Everything AI agents need to understand your business.