Engineering software and intelligent systems built for technical work where traceability, control and real-world execution matter.
PAMILANGA Labs starts with the workflow, not the technology. We build software around technical work where evidence, geometry, supplier data and project decisions need to stay inspectable.
Our systems sit between software architecture, engineering, procurement, industrial operations, architecture and manufacturing. Public tools are released when their contracts are repeatable; private R&D remains validation-gated until its evidence is strong enough to stand on its own.
Deterministic change-impact CLI that turns Git diffs into explainable system-risk signals across API contracts, database migrations, deployment/configuration changes, CI/CD, ownership boundaries and explicit downstream dependencies.
Explore on GitHub ↗Deterministic technical-bid compliance software for comparing engineering specifications with vendor evidence while preserving source provenance and explicit uncertainty.
Explore on GitHub ↗Model-agnostic multivariate forecasting, cross-sensor anomaly detection, degradation tracking and early-failure warning. The first controlled benchmark uses synthetic gearbox telemetry before field validation.
Discuss validation ↗Industrial decision-support and optimization for large-format slab handling, warehousing, staging and logistics. It sits above ERP / MES / WMS execution and turns physical constraints into explainable flow decisions.
Discuss pilot ↗Industrial green-transformation intelligence that turns energy, water, material, waste and emissions data into prioritized technical and financial action with traceable assumptions and evidence boundaries.
Discuss pre-pilot ↗Architectural eXecution Framework for CAD/BIM-native coordination, technical output and evidence-aware project execution.
Engineering drawing and structured CAD automation connecting design intent with repeatable production output.
Specification intelligence for supplier, RFQ and project workflows with provenance, uncertainty and controlled recovery boundaries.
Hardware-agnostic industrial visual intelligence for quality-control and edge-processing workflows.
The public procurement toolchain keeps commercial normalization, quotation comparison, payment exposure, vendor risk, technical compliance and final supplier decisions independently inspectable.
Outputs stay traceable to the source that supports them.
Ambiguity is surfaced rather than silently automated.
Products begin with real engineering friction.
Validation comes before stronger product claims.
We work on technical workflows where fragmented evidence, repetitive manual work or weak traceability creates measurable operational friction.