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Alpi-M Solutions — AI Validation & AI Monitoring

Alpi-M Solutions — AI Validation & AI Monitoring | AlpiType
Alpi-M · Solutions

What Alpi-M delivers

Alpi-M ships bundled with every AlpiType engagement. It is the infrastructure layer — not a product you buy separately. Below are the two core capabilities it provides, in the order you need them.

Deployment sequence
1 Pre-deployment
AI Validation
Know it works before you go live.

Before a model is deployed into production, it must be verified against your real data, your edge constraints, and your regulatory requirements. Alpi-M’s validation layer runs systematic checks — accuracy thresholds, latency benchmarks, edge-case coverage, DSGVO compliance flags — and produces an audit-ready report.

When: After model training, before production rollout. Validation happens once per major version — or whenever your input distribution changes.
  • Threshold-based accuracy and precision/recall checks against your ground-truth dataset
  • Edge inference latency profiling (<50ms target for industrial real-time requirements)
  • DSGVO compliance scan — no data leaves the premises
  • Audit-ready report: version, test date, pass/fail criteria, responsible engineer
  • Failure mode catalogue — documented failure conditions for sign-off
then, ongoing
2 Post-deployment
AI Monitoring
Keep it working after you go live.

Production AI degrades. Input distributions shift, hardware wears, edge cases accumulate. Alpi-M’s monitoring layer watches your deployed model continuously — drift detection, prediction confidence trends, hardware telemetry — and surfaces anomalies before they become failures.

When: After production rollout, running continuously. Monitoring is the ongoing quality assurance layer that validates your initial validation assumptions are still holding.
  • Inference confidence trending — early warning when the model starts to degrade
  • Distribution shift detection against your validation baseline
  • Hardware telemetry: temperature, memory, inference queue depth
  • Configurable alert thresholds — Slack, email, or on-premise webhook
  • Monthly summary reports for QA sign-off and audit trail continuity
Infrastructure Layer
Alpi-M is the engine — not the engagement

Both Validation and Monitoring run on Alpi-M. You do not purchase Alpi-M separately — it comes with every AlpiType project. When we build a solution with you, Alpi-M is already configured, deployed on your infrastructure, and handed over with full source code.

See how Alpi-M looks when deployed (GNSS reference) →
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Anton Lytvynenko

Anton Lytvynenko

CEO, AlpiType

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