ST Engineering Antycip

ST Engineering Antycip supplies simulation software, visualisation systems and simulators to defence and research buyers.

ST Engineering Antycip holds contracts across central government and universities, with buyers such as the Ministry of Defence and Teesside University. Its awards are most often for software and information systems and IT services.

ST Engineering Antycip is connected to 12 direct awards. Its largest procurement category by award volume is Software package and information systems.

Recent contract awards to ST Engineering Antycip

Browse public sector contract awards given to ST Engineering Antycip. Select a contract to see contract details and award amount.

Showing 12 of 12 results

ST Engineering Antycip trend analysis

Explore a comprehensive breakdown of ST Engineering Antycip's contract history, including top procurement categories, award trends over time, and key buyer relationships.

Top procurement categories associated with ST Engineering Antycip

The procurement categories ST Engineering Antycip wins the most work in, ranked by award notices published over the last five years.

TitleCount
  1. Software package and information systems
    5
  2. IT services: consulting, software development, Internet and support
    3
  3. Electrical machinery, apparatus, equipment and consumables; lighting
    2
  4. Transport equipment and auxiliary products to transportation
    2
  5. Radio, television, communication, telecommunication and related equipment
    1

ST Engineering Antycip awards over time

See ST Engineering Antycip's contract awards over the last 5 years.

Buyers awarding contracts to ST Engineering Antycip

The public sector organisations that have awarded ST Engineering Antycip the most contracts. Ranked by award notices published in the last five years.

The public sector suppliers most searched for on Stotles, with the number of notices naming each one.

Want to research a competitor or partner?

From first signal to bid submission, Stotles turns procurement chaos into predictable pipeline.