1
Describe the requirement
Use natural language. Pattrnz turns initial requirements into structured specifications.
AI support from requirement definition to a validated supplier shortlist
Pattrnz turns fragmented supplier information into evidence-backed supplier discovery, assessment, and RFx workflows for procurement teams that need greater speed, breadth, and traceability.
From an initial requirement to an evidence-backed RFx process
Two integrated modules complement your ERP: Supplier Graph brings together evidence of supplier capabilities, while RFx Copilot structures the requirement, outreach, evaluation, and recommendation.
2
Map supplier evidence
Supplier Graph combines internal data, public records, contract awards, certifications, and disclosures.
3
Run a traceable RFx
RFx Copilot supports outreach, response capture, scoring, and documentation of the rationale.
4
Select on the evidence
Compare landed cost, operational risk, and the evidence trail before selecting a supplier.
Selected projects
Built by Pattrnz
Explore public tools, partner pilots, and open infrastructure developed by Pattrnz for supplier discovery, resilience, and early-stage procurement.
Explore all projects
01Open betaAccess: Public
Nordic Supplier Discovery Tool
AI search over supplier capability signals derived from procurement records, built to help buyers discover credible suppliers beyond known incumbents.
02Restricted pilotAccess: Restricted partner environment
SAMSIK Resilience Pilot
Supply-network mapping for crisis readiness and faster mobilization decisions, developed with public-sector partners in a restricted environment.
03AlphaAccess: Demo or partner access
Horizon Scanner
Turns procurement plans into structured demand and dependency maps, surfacing risk and dual-use opportunities earlier.
Access available by demo or through partnersProject details
04PublishedAccess: Public
Nordic Defense Procurement Report and Dashboard
A public evidence base and interactive exploration of Nordic defense procurement trends from 2015 to 2025.
Proud of those who have trusted us
These organizations reflect the range of analytical, AI-enabled, and capability-mapping work Pattrnz has delivered across sectors.
- UN Development Programme: Mapping and matchmaking between global portfolio projects
- Novozymes: Advanced R&D analytics and mapping of internal capabilities
- Startup Denmark: Residence permits approved as high-impact founders
- InnovationsFonden: Innofounder Experienced Fellow Grant
- Magical Startups: Seed VC Funding and Acceleration Programme
- Accelerace: Accelerated by leading accelerator in the Nordics
- Ministry of Higher Education and Science: Support for the Research Portal Denmark Project
- International Energy Agency: Mapping and analytics related to renewable energy R&D
- DTU: Multiple projects related to capability mapping within the university
- Technical University of Berlin: Mapping of R&D capabilities within the university.
- NIFU Norway: Data Infrastructure for Capability Mapping
- Founders of Tomorrow: Mapping and Matchmaking within the Founders of Tomorrow Community
- DareDisrupt: Collaboration for the ForesT project
- Thirdroom: Support for advanced analytic services embedded in their platform.
- OCYT: Data analytics for the National Observatory of Science and Technology.
Two modules for early-stage procurement
Pattrnz focuses on requirement definition, supplier discovery, and running a structured, explainable RFx process.
The Supplier Graph
Combines internal data with open records to map supplier capabilities, supporting evidence, and relationships. This distinguishes supplier claims from documented experience and capabilities.
The RFx Copilot
Structures an initial need as an RFI, RFQ, or RFP, then supports outreach, response capture, scoring, and the rationale for a recommendation.
Ready to improve early-stage procurement?
Choose one or two priority procurement categories for a Solution Sprint. Define the baseline, test the workflow, and decide what to scale—or use the value simulator to estimate the potential impact on cost, time, and risk before the RFx.