Case studies
Reference architectures and platform experience, labelled honestly
A transparent view of the systems we design and build. Several of these are reference architectures, internal prototypes, or concept demonstrations rather than paid client projects — and we label them that way.
Enterprise AI Agent Integration Layer
A production-oriented backend execution layer that lets AI agents call tools, trigger workflows, interact with enterprise APIs, and execute actions safely with logging, retries, audit trails, and monitoring.
Databricks Workflow API Integration
A backend service that lets business applications or AI agents trigger Databricks jobs, track status, retrieve results, and expose data workflows through clean APIs.
Legacy System AI Modernization Layer
A phased modernization approach that wraps legacy systems with modern APIs and AI-ready integration layers, allowing gradual replacement without a risky big-bang migration.
AI-Assisted Procurement Intelligence Platform
A procurement intelligence workflow platform that ingests opportunities, applies deterministic ranking, and uses AI for summaries, explanations, readiness checks, alerts, and operator workflows.
Next step
Want something similar built on your stack?
These patterns translate directly to client work. Tell us about your AI platform, data workflows, or legacy systems and we will propose an approach and the engineers to deliver it.