Automated Evidence Collection and Monitoring for Industrial Transformation and Recycling Facilities

Planned negotiated procedure (EC-JRC/SVQ/2026/MVP/5198-EXA) by the European Commission DG JRC to procure up to 12 months of research services to design, prototype and evaluate hybrid data pipelines for automated evidence collection and monitoring for industrial transformation and recycling facilities. The work comprises two pilot packages supporting the INCITE initiative (project-level innovations) and creating a facility-level circular-economy dataset across EU Member States, with deliverables including documented prototypes, validated datasets and quantitative evaluation of accuracy, coverage and cost. The contracting authority expects a hybrid technical approach combining deterministic data engineering, machine learning, LLM-based extraction and human validation. Expressions of interest must be submitted electronically via the EU Funding & Tenders Portal (EU Login) from 01/10/2026 until 12/10/2026 and the estimated contract value is not disclosed.

Quick summary

What the contract funds

Research and prototyping services to design, build and evaluate hybrid data pipelines that collect, structure, validate and monitor evidence from heterogeneous public sources using deterministic data engineering, machine learning, LLMs and human expert validation. The goal is documented prototype pipelines, validated datasets, quantitative evaluation (accuracy, coverage, cost) and a feasibility assessment for continuous updates and scale-up 1.

Footnotes

1. 1Full tender notice and detailed procurement documents will be published on the EU Funding & Tenders Portal when the negotiated procedure is launched.

Opportunity Summary

This is a planned negotiated procedure (middle/low value contract) issued by the European Commission, DG JRC - Joint Research Centre to procure research services. The contract (procedure identifier EC-JRC/SVQ/2026/MVP/5198-EXA) requests the design, prototyping and rigorous evaluation of prototype data pipelines that collect, structure, validate and monitor evidence from heterogeneous public data sources. The technical approach must combine deterministic data engineering (APIs, bulk downloads, database extraction and parsing), machine learning and rule-based methods, large language models (LLMs) and human expert validation. The work is split across two exploratory pilot packages (work-packages) and aims to demonstrate workflows and evaluate accuracy, coverage and cost rather than to deliver a production system. Expression of interest dates and tender launch plans are published on the EU Funding & Tenders Portal Procurement Notice 1.

Scope and Work-Packages

The contract comprises two broad exploratory pilot work-packages. Both are explicitly pilots focused on demonstrating and evaluating workflows rather than providing production services.

Technical Expectations and Examples

The contracting authority expects a hybrid architecture where the contractor selects appropriate deterministic, ML-based and LLM-based techniques per task and defends choices based on accuracy, cost, reproducibility and maintainability. Examples and intended uses in the tender text: structured sources (CORDIS, Innovation Fund, LIFE, EU Industrial Emissions Portal, national permit registries, Eurostat) accessed deterministically (APIs, bulk downloads, DB extraction); ML and rule-based methods for classification, deduplication, geocoding and entity resolution; LLMs primarily for extracting structured data from unstructured documents (permits, company websites, press releases, scientific publications, sustainability and financial reports); agent-based workflows for multi-step search.

Administrative and Procurement Details

Eligible Applicants and Consortium Requirements

The tender is a public services procurement managed by the JRC; typical eligible bidders for this type of contract are legal entities able to provide research and technical services. The tender documentation and negotiated procedure will specify formal eligibility criteria, but based on the published notice the contracting authority expects organisations with demonstrable capability in data engineering, machine learning/NLP/LLMs, geospatial data processing and subject-matter expertise in industrial decarbonisation and circular economy to bid.

Funding and Contract Financials

The notice is a procurement publication and does not specify an explicit funding amount in the scraped content. It is a negotiated middle/low value contract; the exact estimated total value will be published in the call documents for the negotiated procedure. The contract is a fee-for-service procurement rather than a grant; the awarded contractor will be paid under the service contract terms defined in the negotiated procedure documents.

Application and Evaluation Process

This publication is an announcement of intent to launch a future negotiated procedure. The next steps are: submit an expression of interest electronically by the published deadline; the contracting authority will then launch the negotiated procedure and invite selected candidates to submit full tenders (negotiated low/middle value). The negotiated procedure typically involves pre-selection followed by submission of technical and financial offers; the precise evaluation criteria and stages will be defined in the tender dossier.

Technical and Data Requirements — Detailed

The contracting authority requests a rigorous, documented prototype approach. The tender text includes technical expectations and specific source examples. The contractor should address the following technical and data elements in detail:

Target Sectors and Themes

Project Stage and Expected Maturity

The procurement explicitly requests exploratory pilots and prototypes rather than production-ready systems. Expected project maturity: development and validation of prototypes (development, validation and demonstration stage), including rigorous evaluation of performance and feasibility for scale-up and continuous updates.

Geographic and Country Mentions

The tender focuses on EU Member States and EU-wide data sources. Specific datasets and portals named include EU-level sources (CORDIS, Innovation Fund, LIFE, EU Industrial Emissions Portal, Eurostat) and national permit registries (unspecified countries). The contracting authority is the European Commission and the work supports EU initiatives including the INCITE centre 1.

Success Rates, Co-funding and Other Commercial Conditions

This is a procurement process, not a competitive grant with published success-rate statistics. The negotiated procedure will pre-select candidates to invite to tender; success rates depend on the number of invited bidders. Co-funding: not applicable in the grant sense since the contract pays for services; bidders must price their offers competitively and ensure full costing is presented. Subcontracting and consortium arrangements will be governed by procurement rules in the tender dossier.

How to Prepare an Application

Templates and Application Structure Guidance

The formal procurement dossier will include definitive templates. Based on the content published, bidders should structure their technical offer around: executive summary; technical approach and architecture diagram; detailed pipeline components per work-package; data source catalogue and access strategy; ML/LLM methods, models and evaluation strategy; human validation plan; project management and timeline (Gantt/milestones); deliverable list; reproducibility and quality assurance measures; legal and ethics compliance; team qualifications and roles; detailed financial offer and cost breakdown.

Important Dates and Links

Risks, Considerations and Competitive Advantages

Comprehensive Summary

This tender seeks a contractor to design, prototype and evaluate hybrid data pipelines that automatically collect, structure, validate and monitor evidence relevant to industrial transformation and circular-economy installations across the EU. It is intended as an exploratory research contract with two pilot packages: one supporting INCITE to track project-level innovations for decarbonisation and circular economy, and a second to create methods for a facility-level dataset of recycling and recovery installations. The emphasis is on rigorous demonstration, quantitative evaluation (accuracy, coverage, cost) and feasibility assessment for continuous update and scale-up. The contractor must justify technical choices across deterministic engineering, machine learning, LLM extraction and human validation, deliver documented prototypes, validated datasets and evaluation reports, and comply with EU procurement rules. Interested bidders must submit an electronic expression of interest via the Funding & Tenders Portal by the published deadline; full tender documents and templates will be issued when the negotiated procedure is launched. The contracting authority is the European Commission JRC. For full procurement details and updates consult the Funding & Tenders Portal reference above 1.

Footnotes

1. 1Tender details and procurement notice available at the EU Funding & Tenders Portal: ec.europa.eu

This opportunity is a planned negotiated procedure for a middle or low value services contract, not a grant call, and the published notice is an advance publication of the contracting authority’s intention to launch a future procedure. The notice does not publish an open funding rate, and the estimated total value is not disclosed in the material provided.

Key facts

What the contract is about

The contract seeks research services to design, prototype and evaluate hybrid data pipelines that can collect, structure, validate and monitor evidence from heterogeneous public sources. The work is split into two exploratory packages: one supports INCITE, the Commission’s Joint Research Centre initiative for industrial transformation and emissions, which assesses innovative industrial techniques for decarbonisation, depollution, resource efficiency and circular economy; the other builds and tests a facility level dataset on circular economy installations in EU Member States. INCITE is an EU innovation centre created under the Industrial Emissions Directive and is intended to assess the maturity and environmental performance of innovative techniques, initially with a focus on energy intensive industries.1245

Scope and expected technical approach

The notice expects a hybrid architecture that uses deterministic data engineering for structured sources wherever possible, machine learning and rule based methods for classification, deduplication, geocoding and entity resolution, and large language models mainly for extracting structured data from unstructured documents such as permits, company websites, press releases, scientific publications, and sustainability or financial reports. The stated goal is not a production platform, but a rigorous demonstration of workflows, with documented prototype pipelines, validated datasets, quantitative evaluation of accuracy, coverage and cost, and a feasibility assessment for continuous updates and scale up.

Who can apply and what applicants should know

The notice does not publish a full eligibility matrix or selection criteria at this stage. Expression of interest is electronic and requires an EU Login account, and submissions must be made exclusively through the specified electronic submission route on the portal.

Applicant takeaways

Assessment for applicants

The opportunity is most relevant for research consultancies, data and AI specialists, evidence mapping teams, and technical partners with strong capability in public data integration and validation. Applicants should be prepared to justify method choices on accuracy, cost, reproducibility and maintainability, because the notice explicitly asks for a technically reasoned hybrid approach rather than a single tool solution.