Agentic Product Infrastructure
Build AI into your product — not bolted on, not dependent on third-party models you don't control.
The software landscape is shifting. AI agents are collapsing traditional backends, replacing CRUD with intelligence, and turning features into autonomous workflows. Your customers expect AI-native products. Your competitors are shipping them.
We help software companies build AI as a first-class citizen — agentic features that differentiate, models you own, and architectures that protect your IP. Not a wrapper on someone else's API. Not dependent on any single ecosystem. Real intelligence that's yours.
Your models. Your data. Your IP.
Why Agentic
Dependent on third-party models
Models you own and control
Margin compression on every call
Fixed infrastructure cost, scalable
Generic responses
Domain-specific, trained on your data
Chatbot bolted onto existing UI
AI-native features designed into product
Customer data sent to third parties
Data stays in your infrastructure
Commoditised — competitors can copy
Differentiated — your training, your IP
Ecosystem lock-in
Portable, vendor-agnostic architecture
What We Build
Build agentic products that adapt, learn, and scale
Embedded Agentic Features
Agents that live where your users already work — in-app panels, workflows, and APIs. Not chatbots bolted on, but AI-native features designed into your product
SaaS-Ready Orchestration
Multi-tenant context handling, connectors to your APIs and databases, multi-model routing with fallbacks, audit logging, and feature flags for safe rollout
Secure Knowledge APIs
Retrieval layers over your docs, knowledge base, tickets, and code samples — tenant-aware so customers only see their own content
Custom Model Ownership
Fine-tuned models trained on your domain, your data — weights, training, and inference you control
Ecosystem Integration
Build alongside Microsoft Copilot, AWS Bedrock, or any ecosystem without surrendering your IP — you own the intelligence layer
Usage-Based AI Infrastructure
Metering, billing, and cost management for AI features — new revenue streams, not just cost centres
IP-Safe Architecture
Clear separation between commodity models and your proprietary data, embeddings, and tooling
How We Work with Software Teams
- Work with your product and engineering leads to pick one high-value workflow
- Map user journeys, data flows, latency constraints, and success metrics
- Define a narrow Proof of Value that can ship behind a feature flag in 8-12 weeks
- Implement the agent backend: orchestration layer, tools, retrieval, and safety rails
- Integrate with your app: UI component, API, or extension depending on your product
- Add tenancy controls, observability, and logging from day one
- Run in shadow or opt-in mode with selected customers to collect feedback
- Tune prompts, tools, and retrieval based on real usage and metrics
- Finalise SSO, RBAC, and data residency controls
- Deliver code, infra, runbooks, and developer-facing docs
- Jointly define the next 2-3 AI features on your roadmap
IP Protection Architecture
Software companies need AI without losing control.
Model ownership
Weights, training data, and inference infrastructure yours to own
Clear separation
Commodity models vs your proprietary data, embeddings, and tooling
Data isolation
Customer data never leaves your control or trains third-party models
RAG in your cloud
Sensitive logic and datasets under your keys
No vendor lock-in
Portable architectures, not dependent on single providers
Agentic AI in Action
Real AI agents working together autonomously to deliver results in your industry. Select a scenario and watch them work.
This is the exact agent architecture we deploy for clients today.
Synthetic data for privacy. Architecture identical to live client deployments.
From the Field
Multi-agent architecture for product intelligence
Enterprise Software Vendor. New IP they own, now powering core product features.
Embedded agentic features shipping to customers, built on infrastructure the client fully controls.
Most of our work is deep IP creation. Our clients protect what they're building. So do we.
But we can walk you through how we built it and what it achieved.
Talk to an EngineerTechnical Foundations
How we build agentic product infrastructure — Deployed on your infrastructure: cloud, on-prem, or hybrid. Multi-cloud and vendor-agnostic supported.
Deployed on your infrastructure — cloud, on-prem, or hybrid. Multi-cloud and vendor-agnostic supported.
From kickoff to production system. Not a demo—a working system on your infrastructure.