We design and build the integration backbone that lets your applications, data, and AI work as one system — on-prem, in the cloud, and at the edge.
From legacy modernization to AI-powered automation, we own the full stack so your team doesn't have to glue it together.
Architect, migrate, and optimize on Azure, AWS, and GCP. Landing zones, cost guardrails, and Well-Architected reviews.
Modernize the operating model, not just the tech. We pair architecture with org design and delivery practices that stick.
REST, GraphQL, gRPC, SOAP, EDI — we design APIs that scale and ship the gateways, contracts, and dev portals around them.
Plug LLMs and ML models into the systems people already use. RAG, agents, evals, and the guardrails that keep them production-ready.
Decoupled, resilient systems built on Kafka, Event Hubs, EventBridge, and the CQRS / event-sourcing patterns behind them.
Pipelines that move clean, governed data into the warehouse, lakehouse, or product surface — with lineage you can trust.
Internal developer platforms, golden paths, IaC, and CI/CD that turn deployment into a non-event.
24×7 monitoring, incident response, and continuous improvement. We run what we build — or what someone else built.
Pragmatic, outcome-focused, and engineered to make decisions fast — without skipping the parts that matter.
Two-week diagnostic to map your systems, data, and goals. You leave with a target architecture and a costed roadmap.
Reference architectures, API contracts, and event schemas — peer-reviewed and aligned to your enterprise standards.
Small, senior pods ship in two-week increments with CI/CD from day one. Demo every Friday, in production every sprint.
We hand over (or stay on) with full runbooks, SLOs, and dashboards. Optional managed support keeps the lights on.
They cut our integration delivery time in half and gave our team patterns we now use across every new project. Genuinely strategic partners.
We launched our event-driven platform on time and 20% under budget. The architecture has scaled cleanly through three product launches.
From a vague AI ambition to a working RAG assistant in production in eight weeks. The eval discipline they brought made all the difference.
Tell us about it. We'll come back within one business day with a perspective and the next two questions worth asking.