Summary

• Procuros has raised a €20 million Series A led by XAnge.
• More than 300 companies use its network, carrying over €3 billion in annualised order volume.
• Its platform connects incompatible trade systems and creates structured transaction data that can support deeper automation.

Hamburg software company Procuros has raised €20 million to expand infrastructure that translates and validates transactions moving between retailers, suppliers and the different software systems they use to trade.

XAnge led the Series A, with W23 joining existing investors Point Nine, Creandum and b2venture. Procuros says more than 300 companies use its platform and more than €3 billion in annualised order volume passes through the network.

The underlying problem is older than the current interest in AI. Orders, invoices, shipping notices and other commercial documents still move through a mixture of electronic data interchange, APIs, spreadsheets, PDFs and manual processes. Each trading partner may use different ERP software and represent products, locations or commercial terms in its own way.

Connecting another customer or supplier can therefore trigger a new integration project before any business process can be automated. Procuros connects each organisation to a common layer, translating information between trading partners rather than requiring every pair of companies to construct and maintain another direct connection.

Reliable automation starts with the transaction

The platform supports established EDI formats alongside XML, CSV, JSON, spreadsheets, PDFs and APIs. Information arriving in one structure can be mapped into the format required by another system, while validation rules check that the transaction contains the data expected by the receiving business.

That work becomes more important as companies introduce AI agents into procurement, logistics and finance. An agent can generate a decision quickly, but it still needs a dependable representation of the supplier, product, quantity, price, address and order history before it can act without creating avoidable errors.

Giving an AI system authority over inconsistent data does not solve the inconsistency. It can simply move the mistake more quickly into an order, invoice or shipment. Procuros’ commercial argument is therefore that the shared data layer beneath automation becomes more valuable as software gains more authority to act.

Existing customer projects illustrate the administrative work the company is trying to remove. Procuros reports that retailer Niche Beauty connected more than 300 active suppliers through the platform and brought 100 live within one week, while another customer, 3Bears, uses the system to connect retail partners directly with its ERP environment.

The performance figures attached to those deployments remain company case study claims rather than independent benchmarks. Their value lies less in proving a universal percentage improvement than in showing where the labour sits: supplier onboarding, order processing, invoice matching and the repeated correction of information arriving from different systems.

Autonomous trade still has organisational boundaries

Procuros describes its longer term objective as infrastructure for autonomous B2B trade. That ambition is more difficult than automating a workflow inside one organisation because transactions cross companies with separate systems, policies and commercial interests.

A retailer and supplier may agree on what has been ordered while still representing the transaction differently in software. When an exception occurs, the resolution may depend on contract terms, prior behaviour or information held outside the document itself. The shared data layer therefore needs context as well as format conversion.

Procuros is developing validation around master data, commercial relationships and previous transactions so more of that context can accompany each exchange. Structured information can then be passed to conventional automation or to agents capable of handling a larger portion of the workflow.

The €20 million round will finance further product development and expansion beyond the company’s current strength in DACH and the UK. The United States and additional European markets are part of that growth plan, creating more variation in customer systems and trading practices for the platform to absorb.

W23’s participation adds a direct connection with the grocery retail sector, where supplier networks can be large and operational margins leave little tolerance for repeated manual administration. The new investor joins a group already backing the company through earlier stages of development.

As the network expands, the harder asset may be the accumulated translation and validation logic rather than any single AI model. Each new connection exposes another combination of systems, document types and business rules that Procuros must make interoperable.

That makes the funding round a bet on relatively unglamorous infrastructure. Autonomous procurement and logistics will depend on models capable of making useful decisions, but they will also depend on knowing that an invoice means the same thing on both sides of the transaction.

Procuros already has hundreds of customers and billions of euros in annualised order volume moving through its platform. The next stage is to show whether that operational base can become a dependable data layer for more autonomous trade rather than merely another integration service sitting between established enterprise systems.