Systems in production.

Four case studies covering the range of what Pruning Labs builds: deterministic AI in a clinical setting, durable payment-recovery workflows, a continuously synced recruitment data pipeline, and privacy-first document processing compiled to WebAssembly.

Medikle

How Pruning Labs built a deterministic dosage engine and multilingual patient assistant for Medikle, cutting intake from a five-step form to a single conversation.

Heirview

How Pruning Labs replaced blunt dunning emails and fragile cron retries with a decline-code-aware retry state machine on Go and Temporal for Heirview.

Hireeing

How Pruning Labs built a direct ATS extraction pipeline, deterministic resume matching, and a zero-friction autofill extension for Hireeing's early-career recruitment platform.

Hindi PDF Editor

How Pruning Labs built a privacy-first PDF platform with Devanagari glyph shaping and OCR running entirely in the browser on Rust and WebAssembly - zero bytes uploaded.

What these have in common

Every one of them started with removal. Five intake screens became one conversation. Fixed-schedule retries became decline-code-aware ones. Scraped listings became a continuous sync. A cloud upload became no upload at all.

None of them are large systems. They are small systems that are correct under load, which is a harder and more useful thing to build. Read how we approach that in our three engineering disciplines.