Disciplinedware

What We Work On

Cost-efficient Go backends with strong consistency, simple Postgres-first foundations, and predictable scaling via queues, partitioning, and caching.

Real-time agents, orchestration engines, RAG pipelines, and interruptible multi-step workflows.

VRP/JSSP solvers, multimodal routing, and custom graph algorithms for large-scale decision systems.

Dynamic models, permissions, workflows, UI/forms, and feature flags defined through metadata for fast iteration and safe multi-tenant extensibility.

Idempotent pipelines, reproducible computations, and consistent event processing with high throughput and low latency.

Metrics, logs, tracing, resilience patterns, and CI/CD pipelines that ensure reliability and consistent operations at scale.

Our public engineering work spans AI systems, backend architectures, optimization engines, and declarative metadata-driven platforms.

If you’re tackling deep engineering challenges — backend platforms, AI systems, algorithms, multi-agent workflows — let’s talk.