Inventory. Revenue. Vendors. Supply chain. Cash flow. Cross-system failures are hiding across all of it. Sign up — your critical intelligence tabs are waiting.
One governed data layer across ERP, CRM and supply chain — with AI-powered decision intelligence built in.
Large enterprises run 200–400 distinct systems of record. A typical F500 finance leader spends 40% of the close cycle reconciling numbers that should already agree. The problem is not the systems themselves — it is the patchwork of point-to-point integrations that grow organically until nobody owns the whole picture. Every new connector doubles the maintenance surface area.
A true enterprise data integration platform solves this by turning a mesh of point-to-point pipes into a hub-and-governed-model topology. DuluthPath provides one canonical data layer where every business entity — Customer, Order, Invoice, Material, Supplier, Employee — has one version of truth, with controlled projections back into each source system.
Bi-directional adapters for SAP, Oracle, Salesforce, Microsoft Dynamics 365, NetSuite, Workday, Blue Yonder, Kinaxis, and leading iPaaS tools. We also ingest files, streams, APIs, and databases.
Golden records with confidence scoring, survivorship rules, and one-click dedup promotion. Changes ripple back to the originating systems under controlled policies.
Every entity is tagged, sensitivity-classified, and traced end-to-end. Regulators and auditors get the answers they need in minutes, not months.
Built-in AI surfaces the three questions a CFO or COO actually asks — "where is the cash trapped, where is margin leaking, where will we stock out" — with dollar-quantified answers.
Finance leaders use DuluthPath to close faster, with less reconciliation. Supply chain leaders use it to project stock-outs 26 weeks out and auto-recommend PO actions. Sales leaders use it to see pipeline-to-invoice conversion in real time. Data leaders use it to retire 10–40% of their current integration tooling cost.
DuluthPath runs as a managed multi-tenant SaaS with region-locked tenants (US, EU, APAC) and an optional single-tenant VPC deployment for regulated industries. All data at rest is AES-256 encrypted; in transit uses TLS 1.3; keys are customer-managed via BYOK.
DuluthPath ships as a multi-tenant SaaS with region-locked tenants (US, EU, APAC) and an optional single-tenant VPC deployment for regulated industries. All data at rest is AES-256 encrypted, in transit uses TLS 1.3, and encryption keys are customer-managed through bring-your-own-key. The control plane is ISO 27001 and SOC 2 Type II attested. We do not build our platform to impress security leaders — we build it to pass the actual audits they run.
The integration runtime itself is a purpose-built event-driven architecture. Change events from source systems are captured through native CDC where the system supports it (SAP ODP/CDS, Salesforce CDC, Oracle GoldenGate), or through governed log-based or trigger-based capture for legacy systems. Every event carries an immutable origin stamp and flows through a deterministic transform pipeline before landing in the canonical data layer. From there it is projected back into target systems under explicit policy control — nothing is written without an approved mapping and an audit record.
Customers typically retire 30–50% of existing middleware licence spend over two years by consolidating onto DuluthPath. The savings come not from lower list prices but from dramatically fewer hand-built pipelines, dramatically less custom integration code, and a single governance model instead of six.
Map the 3–5 business objects that drive the biggest value (usually Customer, Order, Invoice, Material, Supplier). Identify systems of record and gaps.
Connect the primary systems, configure the canonical model, run the first round of reconciliation, expose live dashboards to finance or supply chain leaders.
Establish MDM golden records, lineage, and policy-driven write-backs. Retire the first legacy integration pipelines.
Publish baseline versus current metrics on DSO, close cycle, inventory coverage, reconciliation FTE hours. These are the numbers you will take to the board.
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.
Traditional iPaaS sells you plumbing. We sell you the plumbing plus the governed data model plus the decision-intelligence layer on top, so finance and ops leaders see outcomes, not just pipelines.
In most cases it augments it. Run both in parallel, migrate one domain (e.g. Order-to-Cash) at a time, and retire legacy ETL jobs as they are replaced.