Distributed systems, cloud infrastructure, AI pipelines — built by engineers who care deeply about how things are put together, not just that they ship.
See What We BuildWhat We Do
The problems worth solving rarely fit a template. We dig into the constraints, understand the tradeoffs, and build something that actually holds.
We're a small team of engineers who've spent years getting things wrong before getting them right. That background shapes how we approach every problem — with healthy skepticism, curiosity about failure modes, and a preference for boring, proven solutions over clever ones.
We don't pitch you a technology stack. We ask what breaks first at scale, and design backward from there.
High-throughput, low-latency services. Designed for failure, not just the happy path.
Multi-cloud setup that's actually maintainable. Everything as code, deployments you can reason about.
LLM pipelines that go beyond the demo. Evals, monitoring, iteration — the unsexy work that makes AI reliable.
The right database for the right job. Cassandra, PostgreSQL, MongoDB — chosen for your access patterns, not defaults.
Frontend to API, built as a coherent system. No handoff mess, no assumptions lost between layers.
The automation that pays for itself in a month. We build the tools teams actually use — because we've needed them too.
Infrastructure
Good infrastructure is invisible. We design it to stay that way — even as traffic grows and the system evolves.
AI Engineering
Not everything needs a model. When it does, we build around the failure modes, not around the pitch deck.
How We Think
We care about the systems we leave behind — clear, documented, and easy for the next person to reason about. That's not idealism. It's how you build things that actually last.
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