Inventory. Revenue. Vendors. Supply chain. Cash flow. Cross-system failures are hiding across all of it. Sign up — your critical intelligence tabs are waiting.
Bridge OT and IT. Connect MES, SCADA, and historians to SAP and CRM — with live financial impact per line.
Manufacturing data sits in a dozen purpose-built systems: MES, SCADA, historians, quality systems, warehouse management. Integration to SAP usually happens via a weekly ETL extract — fine for month-end, useless for operational decisions. DuluthPath bridges OT and IT in near real time, so a shift supervisor sees the same numbers the CFO does.
Every unit that crosses a line carries its production context — materials consumed, operator, parameters, quality checks. Costs and revenue roll up from that level, which makes landed-cost analysis and customer-level profitability questions fast and defensible.
OEE by line with the dollar value of each lost percentage point, ranked by recovery potential.
Scrap rate per SKU surfaces which products put delivery commitments at risk this week.
Predictive alerts when a line will miss its plan before the shift ends.
You do not need to rip out existing MES or SCADA. DuluthPath uses standard OPC UA, MQTT, REST and database connectors to read from what you have. The canonical data model sits above — not inside — your shop-floor systems.
Generic horizontal software sounds appealing until you hit the moment when industry-specific terminology, compliance controls, or operational cadences break the model. In regulated industries this shows up as a failed audit. In operations-intensive industries it shows up as a missed shipment or a plant that has to improvise. The DuluthPath industry packs are designed so you do not have to choose between horizontal flexibility and industry depth.
Each industry pack carries a pre-configured canonical model aligned to that industry's reporting needs, compliance controls mapped to recognised frameworks (FDA, GDPR, HIPAA, SOX, PCI-DSS), and operational playbooks written by practitioners from that sector. You keep the benefits of a horizontal platform — faster deployment, lower TCO, one governance model — without giving up the specificity that makes regulators and operators trust the output.
Connect the primary systems of record. Validate canonical model against 2–3 industry KPIs. Expose first dashboards to operational leaders.
Master data cleansing and golden-record promotion for the most-touched entity (usually Customer or Material). First measurable quality-of-service improvement.
Governance, lineage, and regulatory audit-pack generation live. Measurable financial or operational outcome published to the executive team.
Enterprise customers do not evaluate platforms on feature lists alone — they evaluate them on the compliance posture that will be audited by internal risk teams and external regulators. DuluthPath is built to pass those reviews. The platform is SOC 2 Type II and ISO 27001 attested, with GDPR, HIPAA, and PCI-DSS aligned controls available on request. Data residency is configurable at the tenant level — US, EU (Frankfurt and Dublin), UK, Canada, APAC (Sydney, Singapore, Tokyo) — so data never leaves the jurisdiction required by your regulator or your customer contracts.
All customer data is encrypted at rest with AES-256 and in transit with TLS 1.3. Encryption keys can be managed by DuluthPath or customer-managed via bring-your-own-key backed by AWS KMS, Azure Key Vault, or Google Cloud KMS. Identity federation supports Okta, Azure AD, Google Workspace, Ping, and any SAML 2.0 or OIDC provider. Role-based access control is fine-grained down to the field level, with just-in-time elevation for break-glass scenarios and full immutable audit logs streamed to the customer's SIEM of choice (Splunk, Elastic, Datadog, Sumo Logic, Microsoft Sentinel).
We do not view compliance as a sales objection to deflect. We view it as the first thing an enterprise buyer deserves to understand, because it is the thing that determines whether the platform can actually run in production. If your organisation has specific additional frameworks — 21 CFR Part 11, EU AI Act, GxP, FedRAMP Moderate, TISAX — ask us; most of them are already mapped or on the active roadmap.
Every enterprise software purchase is ultimately a financial decision, and the defensible ROI story sits on three pillars: cost reduction, revenue enablement, and risk avoidance. DuluthPath customers typically report cost reductions in three places. First, retirement of 30–50% of existing integration middleware licence spend over two years, as hand-built pipelines are consolidated onto the governed platform. Second, reduction in reconciliation and data-quality FTE hours by 30–45% within the first two quarters as master data and lineage eliminate manual matching work. Third, reduction in external consulting spend, since the governed model and pre-built accelerators remove the "custom integration per acquisition" tax most enterprises pay.
On the revenue side, the most common outcomes are DSO reduction of 5–12 days, recovery of 1.5–3% of revenue previously lost to discount leakage and unresolved deductions, and 10–20% improvement in forecast accuracy (which translates directly into lower safety stock and higher service level). Risk avoidance shows up as faster close cycles (reduces audit findings), better lineage (reduces SOX exposure), and stronger data residency (reduces regulatory risk). Customers can expect a three-year ROI in the 3.5x–7x range on the subscription investment, with a payback period typically inside nine months. We publish an ROI calculator you can configure with your own numbers to sanity-check these claims against your situation.
The TCO conversation is equally important. The sticker price of an enterprise integration platform is usually the smallest part of its real cost. Implementation services, internal team time, infrastructure, ongoing maintenance, and the opportunity cost of delayed business outcomes typically add up to five to ten times the platform licence. DuluthPath's deployment model is designed to shrink those hidden costs — opinionated canonical models, pre-built industry packs, and a small focused implementation team instead of a brigade of forward-deployed engineers. The net effect is a lower three-year TCO than comparable incumbents, even when our list price is similar.
Yes. Also Siemens WinCC, GE Proficy, AVEVA PI, Ignition, and most major MES vendors.
Yes. Unit-level lineage and governed change controls satisfy most pharma and FDA audit requirements out of the box.