Elemica’s Acquisition Of OmPrompt

Stephenson Harwood LLP has advised Elemica on the deal.

Elemica, a US-based digital supply chain network for the global manufacturing sector, acquired OmPrompt, a UK-based technology company.

OmPrompt focuses on helping businesses automate, streamline and optimise supply chain processes and documentation management. Its customers include Kraft Heinz, Mondelez, Unilever, AstraZeneca and Johnson & Johnson. OmPrompt’s broad offering – comprising proprietary algorithms, machine learning, artificial intelligence and other tools – will contribute to Elemica’s continued development and aggregation of automation technologies. The acquisition complements the company’s growth strategy, as Elemica expands its presence into the UK market.

The Stephenson Harwood team was led by corporate partner Duncan Stiles (Picture), who was supported by associates Josh Billig, Harry Wilson and James Day. Further assistance was provided by tax partner Maryanna Sharrock and associate Katie Raine, incentives of counsel David Baxter, employment partner Paul Reeves and associates Imogen Heywood and Elspeth Hunt, COT partner Naomi Leach and associate Kate Ackland, IP partner Alexandra Pygall and associate Maurane van der Stoep, pensions senior associate Naeem Noor, and real estate partner Catriona Berman and associate Katherine Tweed.

 

 

Involved fees earner: Kate Ackland – Stephenson Harwood; David Baxter – Stephenson Harwood; Catriona Berman – Stephenson Harwood; Josh Billig – Stephenson Harwood; James Day – Stephenson Harwood; Imogen Heywood – Stephenson Harwood; Naomi Leach – Stephenson Harwood; Naeem Noor – Stephenson Harwood; Alexandra Pygall – Stephenson Harwood; Katie Raine – Stephenson Harwood; Paul Reeves – Stephenson Harwood; Maryanna Sharrock – Stephenson Harwood; Duncan Stiles – Stephenson Harwood; Katherine Tweed – Stephenson Harwood; Maurane van der Stoep – Stephenson Harwood; Harry Wilson – Stephenson Harwood;

Law Firms: Stephenson Harwood;

Clients: Elemica;

Author: Federica Tiefenthaler