Signals Inbox·July 18, 2026·Defense Tech

Who is the next European Palantir?

ChapsVision is the closest European company to Palantir today, but Quantexa has the stronger platform and commercial record. The gap between them explains why Europe still has no single Palantir equivalent.

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Summary

ChapsVision is currently the closest European company to Palantir, scoring 79.4 out of 100 against Quantexa’s 76.5. Its narrow lead comes from direct evidence that French intelligence intends to use its technology as a sovereign replacement for Palantir.

Quantexa looks stronger almost everywhere else. It leads on technology architecture, operational workflows, commercial breadth, international reach and contract depth, making it the more proven platform company.

The comparison changes when the question changes. Adarga leads in classified European defence, DataWalk in linked-data investigations, Ripjar in secure commercial deployment and Siren in investigative search.

Europe has recreated most parts of Palantir, but across several different companies. None yet combines sensitive government work, commercial scale, operational software and global deployment inside one platform.

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European Palantir Proximity Scoreboard

The European Palantir Proximity Scoreboard compares six European companies against a 30-criterion reference profile of Palantir, covering technology, operational software, government adoption, classified deployment, commercial reach and contract depth.

The underlying research contains 212 evidence observations and 32 contract or deployment records. We separated claimed capabilities from named cases, confirmed production use and repeated meaningful deployments.

The result ranks publicly defensible proximity to Palantir, rather than software quality in isolation. Confidential contracts, classified deployments and undisclosed capabilities may not appear in the public evidence.

Each criterion is scored from 0 to 5. The Importance column indicates whether it plays a supporting, important or core role, without disclosing the exact internal weighting. Final scores are also adjusted for source quality and confidence.

European Palantir proximity scores by criterion

# Criterion Importance ChapsVision Quantexa Ripjar DataWalk Adarga Siren
1 Technology: Data ingestion breadth Important 4.5 4.5 4.5 4.5 3.5 4.0
2 Technology: Structured and unstructured data fusion Important 4.5 4.0 4.5 4.5 4.5 4.0
3 Technology: Entity resolution Important 3.5 5.0 4.5 4.0 2.5 4.5
4 Technology: Ontology and knowledge graph Important 4.0 4.5 4.0 5.0 4.5 3.5
5 Technology: Search and investigation Important 4.5 4.0 4.5 4.0 4.0 5.0
6 Technology: Graph analytics Important 4.0 5.0 4.0 5.0 4.0 4.5
7 Technology: Analytics and visualisation Supporting 4.0 3.5 4.0 4.0 3.5 4.0
8 Technology: Real-time and streaming data Important 4.0 4.5 4.5 3.5 4.0 4.5
9 AI: Machine learning and composite AI Important 4.0 4.5 4.5 4.0 4.0 3.5
10 AI: Generative AI and RAG Important 4.5 4.0 4.0 3.5 5.0 3.0
11 AI: Agentic workflows Supporting 5.0 3.5 3.0 3.0 4.5 2.5
12 Operations: Workflow and action layer Core 4.0 4.0 4.0 3.5 4.0 3.5
13 Operations: Decision support and automation Important 4.0 4.5 4.0 3.0 4.0 3.0
14 Operations: Case management and collaboration Important 4.0 4.0 4.0 4.0 3.5 4.0
15 Operations: Production workflow breadth Important 4.0 4.5 4.0 3.5 4.0 3.5
16 Government: Public-sector traction Important 4.5 4.5 3.5 4.5 4.5 3.0
17 Government: Defence and intelligence traction Core 5.0 2.5 4.0 4.0 5.0 3.0
18 Government: Law-enforcement traction Important 4.5 2.5 3.5 5.0 1.5 4.5
19 Mission criticality: Classified and air-gapped evidence Core 4.0 1.5 4.0 4.0 5.0 3.5
20 Mission criticality: Persistent production evidence Core 3.5 4.0 4.0 4.5 4.5 3.5
21 Deployment: On-premise, private and sovereign deployment Important 5.0 4.5 5.0 5.0 5.0 4.5
22 Deployment: Cloud and hybrid flexibility Supporting 4.0 5.0 4.5 4.0 3.5 4.5
23 Deployment: Fine-grained security and access controls Important 4.5 4.0 5.0 4.0 5.0 4.0
24 Commercial: Customer breadth Important 4.5 5.0 4.5 3.0 2.0 2.5
25 Commercial: Sector breadth Important 4.5 5.0 3.5 3.5 2.5 3.0
26 Scale: International deployment breadth Important 3.5 5.0 4.0 4.0 2.5 3.0
27 Product: Platform breadth and coherence Important 4.0 4.5 4.0 3.5 3.5 3.0
28 Business: Contract scale and duration Important 3.0 5.0 3.0 2.5 4.5 1.5
29 Business: Renewal and expansion evidence Important 2.5 4.5 4.0 4.5 4.0 3.0
30 Replacement: Direct evidence of replacing Palantir Core 5.0 0.5 0.5 2.0 0.0 1.0
Evidence-adjusted score 79.4 76.5 74.7 74.5 72.4 64.9

Q1Who is closest to Palantir in Europe today?

ChapsVision is currently the closest European company to Palantir, although its lead over Quantexa remains narrow.

ChapsVision scores 79.4 out of 100 in our base model, compared with 76.5 for Quantexa. The 2.9-point gap is real, but nowhere near enough to make ChapsVision an uncontested European Palantir.

Quantexa scores higher on technology architecture, commercial breadth, international reach and contract scale. ChapsVision still leads because it combines a broad enough platform with direct evidence that a European intelligence agency intends to use its technology as a sovereign Palantir replacement.

The rest are tightly grouped. Ripjar scores 74.7, only 0.15 points ahead of DataWalk. Adarga follows at 72.4, while Siren scores 64.9.

Europe is really producing several different versions of Palantir at once. There is no obvious winner across every part of the market.

European Palantir proximity ranking today

Rank Company Palantir Proximity Score Gap to ChapsVision
1 ChapsVision 79.4
2 Quantexa 76.5 2.9
3 Ripjar 74.7 4.7
4 DataWalk 74.5 4.8
5 Adarga 72.4 6.9
6 Siren 64.9 14.4

Q2Why is ChapsVision the closest European company to Palantir?

ChapsVision leads mainly because it has the strongest direct evidence of becoming a sovereign replacement for Palantir.

The decisive case is the French domestic intelligence agency’s transition toward ChapsVision. The initial OTDH platform award was announced in December 2024, and subsequent reporting described an analytical-platform contract of approximately €10 million over ten years intended to replace the existing Palantir environment.

That creates a large scoring advantage. ChapsVision receives 5 out of 5 for direct Palantir replacement evidence. DataWalk receives 2, Siren receives 1, Quantexa and Ripjar receive 0.5, and Adarga receives zero.

ChapsVision also achieves the dataset’s highest government and defence score at 91.9 out of 100. It combines the French intelligence award with reported selection by Germany’s domestic intelligence service and a broader sovereign-security position around ArgonOS.

Still, the French migration is not publicly confirmed as complete. Our contract ledger treats it as an awarded transition. We do not know the final deployed scope, number of users, cutover date or whether Palantir will retain some role.

The other uncertainty is product integration. ChapsVision has expanded through acquisitions, including Sinequa, and now covers search, data integration, AI, investigation and operational applications. Public evidence is less clear on whether all of this already behaves like one deeply integrated platform inside customer deployments.

Our European Palantir Proximity Scoreboard gives ChapsVision serious credit for a rare strategic win. It does not pretend the migration is already finished.

Q3Is Quantexa a stronger platform than ChapsVision?

Quantexa currently looks like the stronger and more proven commercial data platform, even though ChapsVision remains closer to Palantir’s intelligence and classified-government business.

Quantexa leads the technology and data-architecture subscore at 83.9. It receives full marks for entity resolution and graph analytics, alongside strong scores for data ingestion, knowledge graphs, real-time data and machine learning.

Its advantage gets much larger outside national security. Quantexa scores 98.7 for both commercial breadth and international scale, compared with 86.2 and 67.1 for ChapsVision. Named production customers include HSBC, Standard Chartered and Vodafone.

The contract evidence is deeper too. Our ledger contains 11 Quantexa contracts or deployments, including nine classified as production deployments. Their disclosed value reaches approximately €219.5 million, with most of that amount coming from a reported £175 million, ten-year HMRC agreement.

Quantexa also holds official UK government contracts covering Cabinet Office counter-fraud work, HMRC entity resolution and cross-government network analytics. These are persistent parts of public infrastructure, rather than a loose collection of pilots.

The gap is on defence and intelligence. Quantexa scores 61.5 there, far below ChapsVision’s 91.9, and its public evidence for classified or air-gapped deployment is weaker than that of ChapsVision, Ripjar, DataWalk and Adarga.

Quantexa is closer to Palantir Foundry as a commercial decision-intelligence platform. ChapsVision is closer to the broader sovereign-government identity people usually associate with Palantir.

ChapsVision and Quantexa compared by dimension

Dimension ChapsVision Quantexa Stronger company
Technology and data architecture 77.7 83.9 Quantexa
Operational workflow depth 76.6 82.6 Quantexa
Government and defence traction 91.9 61.5 ChapsVision
Commercial breadth 86.2 98.7 Quantexa
International scale 67.1 98.7 Quantexa
Contract scale and expansion 54.0 94.5 Quantexa
Direct Palantir replacement 96.6 9.0 ChapsVision

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Q4Which European Palantir alternative has the strongest real-world deployments?

Quantexa has the broadest publicly documented production record, while Adarga has the strongest evidence inside classified defence environments.

Company websites make almost every candidate look broad and mature. The picture changes once we remove partnerships, early pilots and capabilities supported only by technical or marketing material.

Quantexa has nine identified production deployments in our contract ledger. DataWalk and Ripjar each have four, while Adarga and Siren have two. ChapsVision has no ledger record classified as a fully confirmed production deployment because its main intelligence project remains an awarded transition with limited public implementation detail.

That does not mean ChapsVision has no technology in use. Its most relevant contracts simply do not yet meet our stricter definition of a publicly confirmed production deployment.

Under a production-evidence-only model, Quantexa scores 88.7. Adarga follows at 87.7 because its smaller evidence base contains unusually strong classified and operational defence cases. ChapsVision scores 86.7.

These numbers measure the strength of surviving evidence. They are not percentages of Palantir’s total capabilities.

Strongest publicly documented production records

Company Identified production deployments Named counterparts Production-only score Main production strength
Quantexa 9 11 88.7 Government and commercial scale
DataWalk 4 5 78.9 Law enforcement and investigations
Ripjar 4 4 78.0 Commercial risk and compliance
Adarga 2 4 87.7 Classified UK defence
Siren 2 4 73.8 Police investigations
ChapsVision 0 confirmed in ledger 4 86.7 Awarded sovereign intelligence transition

Q5Is DataWalk the most overlooked Palantir alternative?

Probably. DataWalk’s overall score hides an unusually strong record in law enforcement, graph analytics and persistent investigative use.

It scores 74.5, almost level with Ripjar and less than two points behind Quantexa. A relatively small change in priorities would place it among Europe’s three closest companies to Palantir.

The strongest evidence comes from the US Department of Justice. DataWalk says its platform has supported financial-crime investigations since 2019 and was retained through a multi-year extension as a mission-critical component. It has also been selected by the US Department of Defense Inspector General and the US Department of State.

DataWalk receives full marks for knowledge graphs, graph analytics and law-enforcement traction, plus 4.5 for mission-critical production evidence. That makes it the closest candidate to the linked-data and investigative side of Palantir Gotham.

The catch is scale. DataWalk scores only 62.7 for commercial breadth and 65.4 for contract scale and expansion. Most contract values are undisclosed, several customers are unnamed and its international presence is less visible than Quantexa’s.

Its strongest commercial case involves an unnamed US bank reportedly saving more than $40 million annually. A big result, yes, but the anonymous customer and supplier-controlled evidence lower our confidence.

Q6Is Ripjar really closer to Palantir than DataWalk?

Only marginally. Ripjar ranks ahead because its public evidence is more balanced across technology, security and repeatable commercial deployments.

The gap is 0.15 points, so the exact ordering is hardly sacred. DataWalk scores better in law enforcement and ontology, while Ripjar performs better across deployment security, customer quality and operational breadth.

Ripjar’s clearest evidence comes from named private-sector customers. Labyrinth technology supports Dow Jones, Shell and Danske Bank, while another case describes approximately 150,000 annual searches at an unnamed Tier 1 bank.

The Dow Jones relationship is particularly useful because it is long-running, processes high data volumes and reportedly supports a platform used by more than 10,000 people. Danske Bank also shows that Ripjar can operate on-premise inside a regulated institution.

Ripjar scores 92.3 for deployment and security flexibility, the highest result among the six companies. It receives full marks for on-premise and sovereign deployment and for fine-grained security controls.

Its government evidence is thinner. None of the four deployments in our ledger is classified as government, defence or intelligence work.

Ripjar resembles the secure commercial and investigative part of Palantir. Public evidence does not yet show the same level of government dependence.

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Q7Is Adarga the closest thing to Palantir in European defence?

Yes, when the comparison is restricted to classified defence analysis and air-gapped AI workflows.

Adarga receives the highest mission-critical deployment score in the research at 93.8. It also leads the AI and decision-intelligence subscore at 85.3, slightly ahead of ChapsVision, helped by documented work around Graph RAG, generative AI and classified operational analysis.

Its advantage comes from where the software operates. Adarga describes deployments on UK Ministry of Defence-hosted infrastructure, including air-gapped workflows operating up to SECRET classification.

Its public contract record includes a UK Ministry of Defence enterprise agreement with a maximum value of £12 million. That figure is a framework ceiling, rather than confirmed realised revenue.

Adarga also has evidence of operational use inside UK Strategic Command and Defence Support. Few European software companies can point to comparable public evidence inside classified defence environments.

The concentration is extreme, though. All four identified ledger records are linked to government or defence and all are concentrated in the United Kingdom. Adarga scores only 41.8 for commercial breadth and 47.2 for international scale.

Adarga is a specialist, not Europe’s closest overall Palantir. But in one of the hardest parts of Palantir to reproduce, it may already be closest.

Q8Is Siren really a credible European alternative to Palantir?

Siren is credible for police and intelligence investigations, but the public evidence does not support comparison with Palantir as a broad operational platform.

It receives 5 out of 5 for search and investigation, 4.5 for entity resolution, 4.5 for graph analytics and 4.5 for law-enforcement traction.

One police case describes a production cloud environment combining 45 data feeds and shortening the integration programme by approximately 12 months. Another documents serious organised-crime investigations using signals data.

Those are real operational cases. The problem is that customer names, contract values, deployment duration and user counts are often undisclosed. Siren’s ledger contains two production cases and two partnerships, with no disclosed contract value.

The partnerships with Senzing and Ocient add technology and sovereign positioning, but they do not show that customers have purchased and deployed the combined platform.

Siren also scores lower on generative AI, agentic workflows, product breadth, commercial breadth and contract scale. It looks like a powerful part of Palantir Gotham rather than a full alternative to the Palantir stack.

That is why Siren receives the lowest overall Palantir Proximity Score, despite remaining highly credible within investigative search and police intelligence.

Q9Does the closest European company to Palantir change depending on the criteria?

Yes. ChapsVision leads when sovereign replacement and intelligence work matter most. Quantexa leads when commercial scale and proven production matter more.

ChapsVision wins the base model, the government-heavy model and the sovereign-replacement model. It also stays narrowly ahead in the broader technology-heavy scenario, even though Quantexa wins the standalone technology and data-architecture subscore.

Quantexa becomes the clear leader when commercial scale receives greater importance. It also leads every scenario restricted to production deployments or primary-source evidence.

Adarga rises sharply when the comparison focuses on classified environments. DataWalk becomes the second-closest company when government and mission-critical evidence receive more weight.

That sensitivity is the point. Palantir combines several strengths that European companies have mostly reproduced separately.

How the leader changes under different models

Interpretation Closest company Score Second-closest company Score
Base evidence-adjusted model ChapsVision 79.4 Quantexa 76.5
Technology-heavy model ChapsVision 79.0 Quantexa 78.2
Government and mission-heavy model ChapsVision 80.1 DataWalk 76.8
Commercial scale-heavy model Quantexa 79.9 ChapsVision 77.6
Sovereign replacement-heavy model ChapsVision 81.2 DataWalk 72.9
Production evidence only Quantexa 88.7 Adarga 87.7
Primary-source evidence only Quantexa 88.7 Adarga 84.3

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Q10Does Europe actually have a true Palantir equivalent today?

Europe has several credible Palantir-like companies, but none currently matches Palantir across technology, classified government work, commercial breadth and global deployment scale.

ChapsVision remains 20.6 points below the Palantir reference benchmark. Even that figure makes the gap look simpler than it is, because every European candidate is strongest in a different part of the comparison.

ChapsVision has the best sovereign-replacement story and the strongest government and intelligence score. Quantexa has the broadest commercial platform, the strongest disclosed contract base and the most international production evidence.

DataWalk leads in linked-data law enforcement and persistent investigations. Ripjar has secure deployments across large regulated companies. Adarga has the best public evidence in classified defence. Siren is highly credible in investigative search and police intelligence.

Palantir puts most of those strengths inside one company: Gotham for intelligence and defence, Foundry for industrial and commercial organisations, AIP for AI workflows and Apollo for complex deployment environments.

No European candidate demonstrates the whole combination at comparable scale. ChapsVision is the closest overall today, while Quantexa is the strongest platform and commercial challenger.

The order could move quickly. A completed French intelligence transition would strengthen ChapsVision. More government disclosure could lift Ripjar or DataWalk. Continued large public contracts would reinforce Quantexa, while expansion outside UK defence would materially improve Adarga’s position.

Q11How did we build the European Palantir Proximity Scoreboard?

We compared all six companies against the same 30-criterion Palantir reference profile and adjusted the result for the quality of the supporting evidence.

The profile covers technology, AI, operational workflows, government traction, mission-critical deployment, security, commercial breadth, international scale, contract expansion and direct replacement evidence.

Palantir receives 5 out of 5 by definition on every benchmark criterion. Each European company is then scored according to how closely its publicly documented capabilities and deployments approach that reference.

Unsupported marketing claims receive the lowest evidence level. Technical documentation receives more credit, followed by named pilots, customer cases, production deployments and repeated mission-critical use.

The criteria are not equally important. Operational workflow depth, defence and intelligence traction, classified deployment, persistent production and direct Palantir replacement play a core role. The public table shows broad importance categories rather than our exact internal weights.

Government procurement notices, regulatory filings and customer-side confirmation carry more weight than supplier marketing pages or anonymous case studies. Missing public information is not automatically scored as proof that a capability does not exist, especially in classified markets.

The research covers 212 observations and 32 contract or deployment records. The score measures publicly supportable proximity today, not every private capability these companies may have.

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Methodology and sources

We built the European Palantir Proximity Scoreboard to identify which European company most closely reproduces the combination that makes Palantir distinctive: data architecture, operational workflows, AI, government adoption, sensitive deployments, commercial reach, contract depth and direct replacement evidence.

We selected six European companies with credible overlap across several of these dimensions. The research contains 212 evidence observations and 32 contract or deployment records collected from product documentation, government procurement records, customer cases, contract announcements and deployment disclosures.

Each company was compared against a 30-criterion reference profile, with Palantir receiving 5 out of 5 by definition on each criterion. We then adjusted the scores for evidence quality and confidence. Government notices, customer confirmation and named production deployments received more credit than supplier claims, partnerships or anonymous case studies.

Classified or air-gapped deployment, persistent operational use, integration into important workflows and explicit Palantir replacement evidence carried the greatest analytical value. We distinguished contract ceilings from confirmed spending, partnerships from deployments and awarded transitions from completed migrations.

The exact internal weights are not disclosed, but the published Importance labels show whether each criterion plays a supporting, important or core role. Missing public information was not automatically treated as evidence that a capability does not exist, which is particularly important for companies serving intelligence agencies and classified programmes.

Key sources used for this analysis include: Palantir’s platform overview, Palantir’s platform architecture documentation, ChapsVision’s OTDH announcement, Le Monde on the planned French intelligence transition, the UK Cabinet Office contract with Quantexa, the UK government summary of Quantexa’s public contracts, DataWalk’s US Department of Justice deployment, Danske Bank’s Ripjar deployment, Adarga’s UK Ministry of Defence agreement, and Siren’s police-intelligence deployment.

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