Training Data Must Reflect Production Conditions
Distribution shift begins at acquisition. Melqart Systems aligns sampling, conditioning, and metadata capture with how assets actually run, so offline sets match production envelopes.
Edge normalization, lineage-friendly metadata, and northbound contracts help your team focus on features instead of reconstructing CAN frames from CSV exports.

Industrial telemetry is inherently complex. Melqart Systems engineers the edge path so your pipelines receive consistent features, accurate timestamps, and defensible provenance.
Distribution shift begins at acquisition. Melqart Systems aligns sampling, conditioning, and metadata capture with how assets actually run, so offline sets match production envelopes.
Reusable edge transforms and documented northbound contracts keep feature logic out of ad-hoc code. Your MLOps stack integrates against stable ingress rather than bespoke scrapers.
Not every signal belongs in the cloud. Melqart Systems designs edge aggregation, backfill, and prioritization so inference-critical paths stay local while aggregates still reach the analytics environment.
Identity, keys, and retention belong in the architecture, not as afterthoughts. Melqart Systems documents how telemetry crosses your security boundary and who controls it after handover.
Reference edge stack, gateway supply, and integration engineering sized for production datasets rather than trial streams.
Melqart Systems delivers Owasys-class Linux gateways, field-hardened ingestion, and explicit contracts for time series and event streams. You own the pipeline artifacts; Melqart Systems resolves OT complexity into predictable northbound delivery.

A clear, end-to-end path: OT on the asset, gateway normalization and policy, then your boundary, with no opaque scripts in between.
Book a technical discovery to define sampling, schema, SLOs, and handover. Melqart Systems aligns gateway supply and telemetry delivery with your training and deployment requirements.