What we do
From APIs, event-driven workflows and distributed platforms to AI-powered services, we help engineering teams design and build systems that scale reliably, perform efficiently, and remain operable in production.
Capabilities
We design end to end RAG pipelines including ingestion, chunking, embedding, hybrid retrieval, and evaluation, so grounding quality is measurable and reproducible rather than incidental.
What that looks like
We build and operate the routing layer between your applications and the hosted LLMs: load balancing, fallbacks, cost controls, observability, and deterministic behavior across providers.
What that looks like
We design APIs and backend services around explicit contracts, versioning, and backwards compatibility. We thrive in the boring, high-leverage decisions that keep clients and teams unblocked.
What that looks like
We help you reason clearly about distributed state: consensus, replication, idempotency, and failure modes. We design for the failures that actually happen, not the ones in the academia.
What that looks like
We turn business domains into event streams, with carefully designed schemas, brokers, and consumers that let services scale and evolve independently without introducing tight coupling.
What that looks like
Embedding-based caching that serves near-duplicate requests from memory instead of the model. We design cache tiers, eviction, and invalidation so hit rates are high and staleness is controlled.
What that looks like
We take your workloads from ad-hoc to deliberate: networking, identity, multi-region strategy, cost models, and the guardrails that keep a team moving fast without burning the budget.
What that looks like