Webexpenses References Capped?

Access even more references from these marketplace competitors

  • 4.7 / 5.0 (4029)
    201+ References
  • 4.8 / 5.0 (1065)
    25+ References
  • 4.8 / 5.0 (1313)
    Verified68+ References

Webexpenses Videos

  • currently locked
  • currently locked
  • currently locked
  • Reference Rating
    4.7 / 5.0
    Customer References201 total
    About

    Chrome River Technologies, Inc. provides expense reporting and supplier invoice automation solutions that combine the latest enterprise and mobile technologies with a team of industry-leading implementation and support experts. Chrome River delivers immediate payback via a “Software as a Service” delivery model that requires no hardware, no software, and no long-term commitment. This service is easily configurable to meet the needs of organizations worldwide with sophisticated expense management policies and collaborative approval processes.

  • Reference Rating
    4.7 / 5.0
    Customer References25 total
    About

    Compleat Software is a leading provider of powerful spend management solutions for SMEs that eliminates paper and unites finance, procurement, and budget holders, providing an accurate, real-time picture of company finances and budget availability. Offering the next generation of purchasing and budget management automation at an affordable cost, its P2P “purchase-to-pay” software comprises solutions that deliver a single seamless, paperless process that incorporates e-invoicing, purchase invoice approval, purchase order and receipting, employee expenses, contract management, and with comprehensive dashboards and reporting for every user generation.

  • Reference Rating
    4.7 / 5.0
    Customer References68 total
    About

    Rossum creates a world without manual data entry. Rossum's artificial intelligence understands complex structured documents, enabling companies to capture data from financial documents efficiently and with human-level accuracy. Unlike existing text mining solutions, Rossum's unique deep neural networks reflect the way humans read documents. This eliminates the need for costly manual implementation, a game changer in the data capture business.

  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked
  • currently locked