Inventory. Revenue. Vendors. Supply chain. Cash flow. Cross-system failures are hiding across all of it. Sign up — your critical intelligence tabs are waiting.
ERP-native, fast to stand up, priced to scale — with the decision intelligence your CFO actually wants.
Palantir Foundry is a powerful ontology-first analytics platform. It shines at complex defence and intelligence use cases where bespoke ontologies and forward-deployed engineers are the norm. For mid-market to Fortune-1000 enterprise operational use cases — close the books faster, reduce DSO, avoid stock-outs — it is over-engineered and over-priced.
DuluthPath takes a narrower and therefore sharper approach: ERP-native connectors, an opinionated operational data model, and an AI decision layer tuned for CFO and COO questions. No forward-deployed engineers required, and the deployment timeline is weeks, not quarters.
DuluthPath: 4–9 weeks for the first governed domain. Foundry: typically 6–12 months to first production use case.
DuluthPath ships ERP connectors — SAP, Oracle, Dynamics, Salesforce, Workday. Foundry expects you to build them, usually with its FDE services arm.
DuluthPath subscription scales with data + seat count. Foundry blends services + platform, often $3–10M minimum year one.
Both offer AI layers. DuluthPath is finance- and operations-opinionated out of the box; Foundry is blank-canvas.
If you need a bespoke ontology with government-grade export controls, Foundry remains the gold standard. For enterprise operations, DuluthPath is faster, cheaper, and more predictable.
We do not ask you to rip out an incumbent on day one. The usual path is coexistence — DuluthPath runs alongside the incumbent for one domain (typically Finance or Supply Chain) for 90 days, producing the same numbers plus the governed lineage and AI layer. Teams compare, validate, and then decide the pace of migration. There is no all-or-nothing commitment.
Commercial terms reflect this. Our subscription is modular, scales with the number of domains you bring under governance, and does not require forward-deployed engineers or bespoke services minimums. Most comparable deployments are 30–60% lower in three-year TCO than the incumbent, with faster time-to-first-business-outcome.
We are candid about the cases where we are not the right fit. Bespoke defence/intelligence ontologies with export-controlled data still belong on their native platforms. Point integration problems with a single source and a single target might not warrant a full governance layer. If your integration programme is already delivering visible business outcomes and your total cost of ownership is acceptable, there is no reason to change. But if you are nine months into a project that has not produced measurable business value, or you are stuck at the "pipeline throughput" measurement stage, the conversation is worth having.
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. We have a playbook to lift ontologies into DuluthPath canonical models over 6–10 weeks.
No. Our implementation partners are training-certified and your team owns the outcome.