Keelvar

Keelvar

keelvar.comLast reviewed: 10 Sep 2026

Keelvar is an Irish AI-native sourcing platform that combines sourcing optimization, e-auctions and autonomous sourcing agents to run and award complex and high-volume tenders for enterprise procurement teams across categories such as logistics, direct materials and tail spend.

Founded 2012Cork, Ireland51-200 employees
Architectural role & technology generation
Architectural role
  • 5
    External Intelligence
    Outside-in signals — supplier risk, ESG, market and price intelligence.
  • 4
    Process Execution
    Where transactions happen — sourcing events, contracts, P2P.
  • 3
    Workflow Control
    Intake, orchestration and policy that route work end-to-end.
  • 2
    Decision Intelligence
    Analytics, AI copilots and agents that turn data into decisions.
  • 1
    Data Foundation
    The clean, classified, connected data layer everything else relies on.
Tech generation
  • Gen 5AI Native / Agentic Platform
  • Gen 4AI Enhanced Platform
  • Gen 3SaaS / Cloud Native Platform
  • Gen 2Suite / Multi-Module Platform
  • Gen 1Point Solution / Single Function Tool

Remove Keelvar and the actual sourcing events — bid collection, multi-round negotiation, scenario evaluation and award decisions — stop happening.

Digital Capability Profile

Twelve functional areas.

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Primary digital capability

Each vendor is mapped against 96 digital procurement capabilities, organised across twelve functional areas. Each disc shows how much of that area the vendor covers — a full disc is complete coverage, and where a vendor has no coverage in an area, no disc appears. Based on our proprietary DPG assessment framework.

Vendors built for the same thing, ranked by analyst recognition.

Vendors that have ended up built the same way, whatever they set out to be. Matched on the 96 capabilities.

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Capability area scores

Coverage across the twelve functional areas of the DPG framework.

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More data

Evaluation scores & market signals

Enterprise maturity, market signals, analyst recognition and technology signals — scored and compared.

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