Yes. Adaptrix gives European mid-market companies the capability Palantir Foundry is known for — connect every data source, understand what drives the numbers, and act on it — without forward-deployed engineers or negotiated seven-figure contracts. It runs on self-hosted LLMs with full data sovereignty, from €30,000 per year, and is operational in days.
Credit where it is due: Palantir Foundry pioneered the idea that an organization's data should live in one operational ontology — a semantic layer where every dataset, pipeline and decision is connected. With AIP, Palantir added large-language-model tooling on top of that ontology. For governments and very large enterprises, the results are genuinely impressive.
The delivery model matches that audience. Palantir embeds forward-deployed engineers inside the customer's organization for months to model the ontology and build use cases — a consulting-heavy approach analysts describe as a category of its own.[5]
The economics are built for a different league. Palantir's own FY2025 annual report puts the average revenue from its top 20 customers at $93.9 million per customer over the trailing twelve months — these are institutions with data teams and budgets to match.[1]
Published prices point the same way. On the UK government's G-Cloud 14 framework, a Palantir Foundry term licence is listed from £66,000 per server core per year, and the smallest packaged use-case licence at £250,000 including implementation. Enterprise contract terms are negotiated individually and are not public.[2]
“We build software platforms for large institutions whose work is essential to our way of life.”
Meanwhile, the mid-market gap keeps widening: in 2025, about 55% of large EU enterprises used AI versus roughly 30% of medium-sized ones, per Eurostat. Mid-market companies need the connect-understand-act capability — at mid-market economics, without a resident engineering corps.[4]
Adaptrix is agentic, organizationally-aware analytics: it builds the semantic layer from your connected systems automatically, then closes the loop from question to action.
Standard connectors bring ERP, CRM, e-commerce, finance and production data into one governed model — no data-engineering project.
Dashboards and alerts that reflect your organization's structure, not generic templates.
SHAP attribution shows why a number moved — evidence, not correlation guesses.
Forecasts for demand, churn, cash and capacity, with confidence ranges you can challenge.
Recommends the follow-up — reorder, alert, adjust — and turns it into tracked actions, with a human approving before anything runs.
A positioning comparison, not a feature audit: both platforms connect data and drive action, but they are designed for different buyers.
| Dimension | Adaptrix | Palantir Foundry |
|---|---|---|
| Target company size | Designed for the European mid-market | Designed for governments and global enterprises; top-20 customers average $93.9M in annual revenue to Palantir |
| Deployment time | Operational in days with standard connectors | Typically multi-month, engineer-supported rollouts (positioning based on its delivery model) |
| Pricing model & transparency | Fixed tiers from €30,000/year (Startup published, other tiers on request), €0 per token | Negotiated contracts; UK G-Cloud 14 lists Foundry from £66,000 per server core per year |
| Consultants required | None — guided onboarding, self-service afterwards | Forward-deployed engineers are central to delivery |
| Data sovereignty & self-hosting | Self-hosted open models in Adaptrix's German datacenters; on-premise and air-gap planned for Enterprise Plus | Cloud or customer-hosted; sovereignty depends on the negotiated deployment |
| Ontology / semantic layer | Organizationally-aware semantic layer generated from your connected sources, curated by you | Rich, engineer-modelled ontology built during the deployment engagement |
| Explainable attribution | SHAP explainability on every insight, out of the box | Powerful modelling tools; explainability depends on what your teams build |
The Palantir Foundry column reflects public filings, the UK G-Cloud 14 price list and analyst descriptions of its delivery model; individual Foundry contracts vary and enterprise terms are not public.[1][2][5]
Sovereignty is the default, not an add-on. Adaptrix serves local, open-weight models self-hosted in its own German datacenters, with on-premise and fully air-gapped deployment planned for Enterprise Plus. Your data never trains a third-party model and never crosses a border you didn't choose, and per-token API fees simply don't exist: the price is flat.
That architecture makes GDPR accountability practical — you can point to where every byte lives — and simplifies the transparency and governance duties the EU AI Act places on companies deploying AI.
Where your data lives — and where it never goes
Today: Adaptrix self-hosts open-weight models on its own sovereign EU infrastructure. Your data is queried inside that boundary and never leaves for a third-party AI provider.
Roadmap: running the same stack on customer-owned hardware is planned for the Enterprise Plus tier (~2027) — a roadmap item, not a shipped option today.
An honest comparison cuts both ways. Palantir Foundry remains the stronger choice if:
If that describes you, Foundry is arguably the best tool ever built for the job. If it doesn't, you would be paying for capacity you will never use — and that is exactly the gap Adaptrix exists to close.
For the mid-market, yes — in capability, not in scale. Adaptrix covers the same loop Foundry is valued for (connect data, build a semantic layer, explain, predict, act), but is packaged for companies that don't have data-engineering teams or seven-figure platform budgets.
Palantir doesn't publish enterprise prices; the UK G-Cloud 14 framework lists a Foundry term licence from £66,000 per server core per year and packaged use-case licences from £250,000. Adaptrix publishes a fixed Startup tier from €30,000 per year (higher tiers on request) with no per-token fees.
No. Onboarding is guided, connectors are standard, and the semantic layer is generated from your systems automatically. Most customers are operational within days and run the platform with their existing team.
Not yet as a shipped option — on-premise deployment in your own environment and a fully air-gapped installation are planned for Enterprise Plus, for environments where no external connectivity is acceptable. Today the models are open-weight and self-hosted in Adaptrix's German datacenters, so your data never goes to a third-party AI provider.
Adaptrix builds an organizationally-aware semantic layer automatically from your connected sources — the same role Foundry's ontology plays, without months of manual modelling. You curate and refine it; you don't have to build it from scratch.
The architecture is GDPR-first: data stays where you decide, self-hosted models mean no third-party processing, and records of processing stay straightforward. That same setup supports the transparency and governance duties the EU AI Act introduces for AI deployers.
Bring a real question from your business and watch a live answer — reasoning, sources and math included — or model what it saves you first.