One connected operating model across the wellness ecosystem

What we'd propose

• Enterprise AI

  Supply-chain control tower for the Israeli and Chinese operations

  An end-to-end supply-chain visibility layer that aggregates inventory, demand and supply signals from Caesarea, Haikou, Tianjin and the global distribution hubs, and that uses those signals to set safety stock from a system view rather than a regional one.

  • Cross-region inventory aggregation

    One view of stock and in-transit

    Pull inventory and in-transit positions from each region's ERP and warehouse systems into a single model, with currency, unit-of-measure and lead-time normalisation applied at the boundary so the numbers can be compared on the same basis.

  • Demand-driven safety stock

    Buffers sized from a system signal

    Use historical sell-through, service-level targets and supplier lead times to compute safety stock per SKU (stock-keeping unit) and per region, replacing the fixed buffer with a number the business can defend in front of finance and operations.

  • Exception workflow

    Decisions routed to the right person

    When a forecast, lead time or stock position moves out of tolerance, route the exception to the named owner in the region that can act on it, with the supporting numbers attached so the conversation starts from data rather than recollection.

  • Working capital released from regional safety stock supports the same service level at a lower inventory number.
  • Finance, operations and commercial teams read the same picture instead of reconciling three regional extracts.
  • Service events that originate in supply gaps become visible before they reach the customer.

  We've done this before

  • Scaling Biotech Manufacturing via Universal IT/OT Architecture
  • Ontology-Driven Ecosystem for Biomanufacturing Data

  See how we do Enterprise AI
• Digital CDMO

  Cross-region quality tether between Israeli engineering and Chinese production

  An IoT (Internet of Things) layer on the test benches in both regions, feeding a shared reference of acceptance parameters so the conversation about whether a batch is acceptable becomes a system comparison rather than a paper comparison.

  • Reference parameter capture in Israel

    The accepted run becomes the standard

    Capture pulse duration, energy stability, cooling curve and other critical parameters from validated Israeli test runs as the reference set, with the data captured at the bench rather than re-entered into a spreadsheet.

  • Test data capture in China

    Same shape of evidence, same place

    Run the same parameter capture on the Chinese test benches, with the results written directly into the shared model so a cross-region comparison is a query, not a manual transfer.

  • Deviation and SPC (statistical process control) view

    A shared picture of quality trend

    Surface drift against the reference set and statistical-process-control charts across both regions, so a quality issue in one site is visible to engineering in the other before it becomes a finished-goods investigation.

  • A single acceptance reference is owned by the engineering team, not by whichever site runs the test.
  • A cross-region deviation shows up as a system event rather than as a finding in a retrospective report.
  • The quality story in front of a regulator is the same on both sides of the value chain.

  We've done this before

  • Real-Time Process Intelligence & KPI Visualization
  • Robotic Filling Line with Advanced Servo Control & MES Integration

  See how we do Digital CDMO
• Digital CDMO

  Connected-service platform on the Soprano and Harmony consoles

  A service layer on the installed base that streams selected console health indicators into a service model, and uses the model to trigger parts orders and dispatch before a service event reaches the customer.

  • Console telemetry

    A small set of leading indicators

    Capture flashlamp voltage, cooling-pump rotation, diode temperature and similar indicators at a cadence that supports trending without producing data the service team has no time to read.

  • Predictive service model

    Flag before the customer notices

    Run a service model against the captured stream that identifies a console approaching a service condition and produces a service ticket before the call comes in from the clinic.

  • Parts and dispatch integration

    The right part on the right van

    Trigger a parts reservation in the service-supply chain and a dispatch instruction to the technician that names the parts the visit will need, so the technician arrives with what the visit requires.

  • Backorder and repeat-visit complaints become the exception rather than a known cost of doing business.
  • Service becomes a commercial asset the company can sell against, rather than a cost centre it has to absorb.
  • Engineering sees how the installed base is actually behaving once the field signal is in.

  We've done this before

  • Proactive Support & Change Management Framework for a Digital Lab
  • Support Framework & Assisted Reality for Global Biotech Manufacturer

  See how we do Digital CDMO
• Digital Lab

  Copulla workflow engine for scan-to-delivery

  A cloud workflow that ingests intra-oral scans, routes designs on capacity and specialisation, and issues production jobs automatically so Copulla can serve a thousand clinics without a thousand coordinators.

  • Multi-vendor scan ingestion

    Accept what the clinic has

    Ingest scans from the main intra-oral scanner families (3Shape, iTero, Planmeca and others) into a single canonical format so the workflow starts from one shape of evidence, regardless of what the clinic already owns.

  • Design routing

    Send the case to the right team

    Route each case to a design team based on capacity, specialisation and committed turnaround, with the routing decision visible to the clinic so the timeline is honest.

  • Production and delivery tracking

    From design sign-off to patient delivery

    Issue a production job to the manufacturing centre with material and patient-specific parameters captured once and reused downstream, and track the case through to patient delivery so a clinic can answer its own patient without calling in.

  • Copulla moves from a small pilot to the volume its commercial case requires, on the same headcount.
  • Each step in the workflow leaves a digital trace the service team can read, so a stalled case is visible before the clinic asks about it.
  • A multi-vendor clinic does not have to change its scanner to use the platform.

  We've done this before

  • Fully Automated Autosampling Control System
  • Restoration: Establishing or Re-establishing a Complex Lab Ecosystem

  See how we do Digital Lab
• Agents

  Agents for the regulatory and clinical document load

  Narrow, reviewable agents that take the recurring part of regulatory and clinical document work — drafting MDR (European Medical Device Regulation) and multi-region submissions (FDA 510(k), CE-MDR, NMPA, PMDA) from source records, checking a document against its template before review, and tracing every controlled document a standards change affects — with a named reviewer approving every output.

  • Drafting from source records

    First drafts from system data

    Generate the first draft of a clinical-evaluation report, a 510(k) section, a post-market surveillance update or a periodic safety report from the underlying system records, so the author edits and judges rather than assembles.

  • Template and completeness checking

    Gaps found before review

    Check a document against the template and the checklist the regulator or internal SOP (standard operating procedure) requires, returning missing or inconsistent sections before the document enters the human review queue.

  • Change impact across the document set

    Which documents a change touches

    When a standard, harmonised rule or internal procedure changes, retrieve every controlled document that references it and rank them by how directly they are affected, so the update scope is known on day one.

  • Submissions across FDA 510(k), CE-MDR, NMPA and PMDA (Japan) are produced from the same underlying evidence with a region-specific surface.
  • Review queues move faster because documents arrive complete, with the source records attached.
  • The scope of a standards change is established by search, not by recollection.

  We've done this before

  • Process Transfer Reporting System
  • Digital Transformation of QC Labs: From Paper-Based Legacy to Integrated LES

  See how we do Agents