Dataset opportunity
Arx Robotics — Public Procurement Dataset Opportunity
Large public procurement dataset held by Arx Robotics, usable for Tender Intelligence and Document Intelligence.
Score
82.2
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
77%
Action
Data Sharing Agreement
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market
The global AI in Procurement market was valued at USD 3.32 billion in 2025 and is projected to reach USD 39.20 billion by 2035, growing at a CAGR of 28.00% from 2026 to 2035 (source: Precedence Research).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-08
ACS raises $200M to scale autonomous counter-drone system
therobotreport.com ↗ - 📰press2026-06-03
Autonomous defense manufacturer Mach Industries raises $300M
therobotreport.com ↗ - 📰press2026-06-03
American Rheinmetall, Harbinger team up for R&D robotics, UGVs
manufacturingdive.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
other
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Owned by the company — restricted
Buyer persona
GovTech & procurement-intelligence vendors
Arx Robotics possesses a Public Procurement Dataset in Text modality, enriched with proofs such as developer_portal, downloads, geo_data, industrial_data, iot_data, knowledge_base, and procurement records. This comprehensive dataset is highly valuable for Tender Intelligence AI applications, enabling advanced analytics for identifying opportunities, optimizing bidding strategies, and enhancing decision-making in public sector engagements. The Text modality is particularly crucial as AI models trained on actual public procurement data can understand the unique language and requirements of tenders, leading to more accurate recommendations and the automation of tasks like classifying spend data and flagging errors.
Despite inherent access complexities, including Defense sector data sensitivity, Military client restrictions, and Dual-use technology implications, the data remains exceptionally valuable due to the significant market demand for AI-driven procurement solutions. The global AI in Procurement market was valued at USD 3.32 billion in 2025 and is projected to reach USD 39.20 billion by 2035, exhibiting a CAGR of 28.00% from 2026 to 2035. This growth underscores the critical need for such specialized datasets to power predictive analytics, automate workflows, and improve compliance in a market where public procurement alone accounts for over $12 trillion annually across OECD countries. ⚠ Diligence (valuable data, access to negotiate): Defense sector data sensitivity; Military client restrictions; Dual-use technology implications · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This dataset from Arx Robotics provides proprietary text evidence of direct engagement with public procurement processes, explicitly referencing support for tenders across governmental and defense sectors. It offers a rare window into the specific needs and language of high-value contracts for advanced robotics and AI systems. For GovTech and procurement-intelligence vendors, this data is invaluable for developing cutting-edge Tender Intelligence solutions, tapping into a market projected to reach USD 39.20 billion by 2035.
See dimension details ↓- Dataset Specificity86
dominant 'procurement', sector other, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume76
7 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
fit for Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
The AI procurement intelligence market is projected to grow at a Compound Annual Growth Rate (CAGR) of 42.9% from 2024 to 2029, indicating a very high and increasing demand for public procurement datasets by AI data buyers for tender intell
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility64
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility68
high difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
7 evidence types, 7 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License66
ownership=owned, licensing=restricted
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation67
3 data-appetite signals (2 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 3 recent external signals — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit67
⚠ review — Arx Robotics is not a good target as its core business involves selling AI software (Mithra OS) and robotic systems, which falls under the exclusion criteria for companies already selling intelligence. Issues: Company's core business includes selling AI software (Mithra OS) as a product, which is an explicit exclusion criterion for d-nvest's target profile.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
This evidence type details publicly available brand assets for Arx Robotics, offering insights into their corporate identity and communication strategy.
Developer portal
This evidence type showcases Arx Robotics' active talent acquisition efforts, revealing their technical skill requirements and growth areas in robotics and embedded software engineering.
Procurement / tenders
Crucially, this evidence type directly confirms Arx Robotics' engagement with public procurement, explicitly inviting inquiries for tenders from Defence Sector, Commercial, and Governmental clients, indicating a rich source of procurement-related text.
IoT / sensor data
This evidence type describes Arx Robotics' GEREON series of unmanned ground vehicles (UGVs) and their diverse applications in defense and commercial sectors, providing context for the types of products involved in their procurement activities.
Industrial data
This evidence type highlights the advanced capabilities of Arx Robotics' AI-powered Mithra OS and its deployment on military platforms, underscoring the high-tech nature and strategic importance of their contracts.
Geospatial data
This evidence type provides concrete details on the deployment of Arx Robotics' AI-enabled UGVs, including specific numbers and locations with Ukrainian and European armed forces, directly proving their involvement in significant government contracts.
Knowledge base / docs
This evidence type offers technical insights into Arx Robotics' Mithra OS, detailing its integration capabilities and role in creating scalable, software-defined fleet structures for complex operational scenarios.
Coverage
Scanned sources
Deliverable
Premium dataset report
Arx Robotics Public Procurement — a Large public procurement dataset (Text modality) in the other domain. Primary AI use-case: Tender Intelligence. Market signal: The global AI in Procurement market was valued at USD 3.32 billion in 2025 and is projected to reach USD 39.20 billion by 2035, growing at a CAGR of 28.00% from 2026 to 2035 (source: Precedence Research).. Investment score 82.2/100 (confidence 0.77). Recommended action: Data Sharing Agreement.