Production AI systems for growing software companies — and the engineering roadmap around them. Senior engineers, integrated, accountable.
RAG systems. Agent platforms. AI features inside your product. We've shipped our own — AuraMind, multi-LLM, multi-tenant, in production today — and that's the team that builds yours.
Kubernetes scaling. ERP integrations. Compliance-grade systems. Data engineering. The infrastructure depth your team probably can't hire for in-house — delivered by the same team shipping the AI.
One team across the stack. Your in-house engineers stay focused on the core product; we run the workstreams alongside them.
Open-source provider tooling for the Akash Network — onboarding, attribute management, and upgrade across Kubernetes, blockchain, and SSH-based remote provisioning, in one team across the stack.
Live in production. The primary provider tooling for the Akash Network — used by more than half of community providers.
Kubernetes hot under load. ETL pipeline backlogged. Test automation missing the failures that mattered.
+40% transaction processing capacity. No downtime through migration.
Real-time sales tracking required for Ontario Government compliance reporting. PCI-DSS-aligned, integrated with PoS systems in the field.
STARR live. Compliance system in production.
Microsoft Business Central, an online storefront, an EDI pipeline, and shipping integration — all needing to talk to each other.
End-to-end integration shipped. Field testing well received.
We needed a production RAG platform Arc10 actually ran on. So we built one. AuraMind routes inference across four LLM providers, enforces tag-based RBAC at the retrieval boundary, and runs sandboxed Pandas for structured-data Q&A.
Most AI consultancies show you a slide deck with a roadmap. We can show you what we shipped.
Walk through AuraMind→They attend your standups, work in your tracker, and ship code into your codebase. Engagements typically run six to twelve months — long enough that we know your codebase the way your senior engineers do. Often longer.
How we partner→Workstream-level ownership. We don't close tickets — we own the outcome the tickets serve.
First conversations are 30 minutes. We'll reply within one business day.