Machine Monitoring
Stream live signals from PLCs, CNCs, robots and drives. Track cycle times, states, rejects and utilization on a single real-time canvas.
Learn moreConnect your machines, monitor production in real time, reduce downtime, optimize OEE, and transform industrial data into actionable intelligence using Edge Computing and Cloud Analytics.
Built on open industrial standards
Modular, standards-based building blocks that deploy on brownfield lines in days — not quarters. Start with one machine, scale to the whole enterprise.
Stream live signals from PLCs, CNCs, robots and drives. Track cycle times, states, rejects and utilization on a single real-time canvas.
Learn moreVibration, temperature and current signatures scored at the edge. Detect bearing wear and thermal drift weeks before unplanned failure.
Learn moreA unified namespace for plant data — contextualized, time-series native, and query-ready for BI, MES and data-science teams.
Learn moreHardened Linux gateway bridging 50+ protocols. Store-and-forward buffering keeps data safe through network outages.
Learn moreMeter-level kWh attribution per machine, product and shift. Expose idle-load waste and hit ISO 50001 reporting targets.
Learn moreAutomated OEE, Pareto downtime analysis, scrap tracking and shift comparison — no operator spreadsheets required.
Learn moreA live sample of the SampraTech operations console. Charts animate on scroll and metrics update in real time — exactly like the production workspace.
A vendor-neutral pipeline that respects the Purdue model, keeps OT networks isolated, and delivers contextualized data wherever your teams need it.
No point-solution sprawl. Every module shares the same data model, identity layer and audit trail.
Pre-configured templates, KPI packs and compliance reporting tuned to the realities of each sector.
Discrete and process line monitoring, OEE benchmarking and downtime elimination.
Takt-time tracking, traceability and tier-supplier quality analytics.
GxP-ready audit trails, batch genealogy and environmental monitoring.
Cold-chain visibility, CIP cycle tracking and yield optimization.
Distributed asset telemetry, load analytics and remote diagnostics.
Built by automation engineers and cloud architects who have commissioned real lines — not just written dashboards.
Our engagement model is designed for plant managers who need proof before procurement. A single line pilot proves ROI, then rolls out across sites on the same platform.
Protocol audit, tag mapping and success-metric definition with your engineering team.
Gateway installation, secure tunnel setup and first live data streaming to the platform.
OEE models, downtime reason codes, alert routing and role-based dashboards go live.
Multi-line rollout, predictive models, energy analytics and ERP/MES integration.
Every layer chosen for longevity, auditability and the ability to run anywhere — from a fanless edge box to a global cloud region.
Each stage adds context, compression and meaning — so decision-makers see outcomes, not raw tags.
Yes. The Edge Gateway supports OPC-UA, Modbus TCP/RTU, Siemens S7, EtherNet/IP, Profinet and serial protocols, plus digital-IO retrofit kits for machines with no controller interface at all. Most brownfield lines connect without any PLC program change.
Connections are outbound-only over TLS 1.3 — no inbound firewall ports into the plant. Tag access is read-only by default, firmware is cryptographically signed, and all access is governed by RBAC with full audit logging aligned to IEC 62443 practices.
Absolutely. The same containerized stack runs on our multi-tenant cloud, in your AWS/Azure tenancy, or fully air-gapped on-premises via Docker Compose or Kubernetes. Data export is always in open formats.
A 6-week pilot on one line: asset survey in week 1, edge deployment by week 3, live OEE and downtime dashboards by week 6. Success criteria are agreed up front so the ROI case is measurable before any wider rollout.
Pricing is per connected asset with volume tiers, so a workshop with eight machines pays proportionally to a plant with eight hundred. There are no per-datapoint charges, so high-frequency sampling never produces a surprise invoice.
Yes — REST APIs, webhooks, SQL views and message-bus connectors are available for SAP, Odoo, Tally and most MES platforms, enabling work-order context, batch genealogy and closed-loop scheduling.
Book a 30-minute live demo with an automation engineer. Bring one machine and a real problem — we will show you exactly what the data reveals.
No obligation · NDA available · Pilot-first engagement
Tell us about your plant and we'll come back within one business day with a tailored pilot plan and indicative commercials.