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Alloy

Digital supply chain management

Alloy logo
21-100 employees
  • Fintech
  • B2B
  • Banking
  • Supply Chain
  • SaaS
The East Cut, San Francisco, CA

Company mission

To help companies operate more responsive and efficient supply chains that intelligently adjust to consumer demand.

Top investors

-5% employee growth in 12 months

Our take

Consumer demand is changing rapidly, particularly for e-commerce brands, and customer expectations are rising. The ability to swiftly identify and meet these demands is a competitive necessity. Alloy is a digital-native company helping brands monitor and analyse sales and inventory, to leverage sales insights and scrub out inefficiencies in their supply chain.

The cloud-based aspect of Alloy is likely to prove attractive to companies increasingly working with large-scale data buckets, a service that harnesses the power of data at a macro and micro level is both future-looking and profit-promising. To date, this has secured Alloy some impressive clients, including Facebook, Bosch and Ferrero.

The company is explicit about its engineer-oriented company structure, and this is likely to have contributed significantly to its swift innovation. Alloy now has a raft of products and successful investment under their belt, and if it can capitalize on the increased demand for detailed and real-time data it could stand to continue making real headway.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Parental leave
  • Travel budget
  • Lexible leave, with a culture focused on output, not hours worked
  • Equity compensation
  • Competitive health insurance
  • Professional development budget
  • Social events

Company values

  • Focus on what matters
  • Take ownership
  • Communicate openly and respectfully
  • Iterate to excellence
  • Have each other's backs

Funding (2 rounds)

May 2018

$12m

SERIES A

Mar 2016

$3.3m

SEED

Total funding: $15.3m

This company has top investors

Leadership

Former vice-president at Addepar and Engagement manager at Applied Predictive Technologies with M.A in Economics from Stanford.