Nisum

Nisum

Global digital commerce and technology solutions

About Nisum

Simplify's Rating
Why Nisum is rated
B
Rated C on Competitive Edge
Rated B on Growth Potential
Rated A on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

Crypto & Web3

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Brea, California

Founded

2000

Overview

Company Historically Provides H1B Sponsorship

Nisum is a global digital commerce firm that provides a range of services including digital strategy, transformation, insights and analytics, blockchain solutions, business agility, and custom software development. Their products help businesses connect with customers through both digital and physical channels, enhancing the customer experience. Nisum's approach focuses on creating strong connections between people, processes, and technology, allowing clients to achieve business growth with scalable and cloud-based solutions. What sets Nisum apart from competitors is their extensive expertise and the ability to deliver integrated solutions that drive measurable growth for both startups and established brands. The company's goal is to enable clients to succeed in the digital marketplace by providing the technology and strategies needed to thrive.

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Simplify's Take

What believers are saying

  • Expansion into the Middle East opens new high-growth market opportunities.
  • Partnership with Databricks enhances AI-driven business transformation capabilities.
  • Recognition as Best Global Digital Commerce Consulting Firm boosts credibility.

What critics are saying

  • Middle East expansion may expose Nisum to geopolitical risks.
  • BigCommerce partnership could increase competition in e-commerce platforms.
  • AI and ML integration requires significant investment and adaptation.

What makes Nisum unique

  • Nisum's global presence spans the US, Chile, India, and Pakistan.
  • Nisum partners with BigCommerce to enhance e-commerce solutions.
  • Nisum's AI and analytics solutions are powered by Databricks' Lakehouse Platform.

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Company News

Consultancy ME
Jan 23rd, 2024
Nisum expands into the Middle East with iVolve partnership

Nisum expands into the Middle East with iVolve partnership.

Newswire
Jan 16th, 2024
Nisum Expands Into Saudi Arabia and Middle East Markets With New Strategic Partner iVolve

In joining forces with iVolve, Nisum continues to expand its services into the high growth Middle East and Saudi Arabian markets.

Techli
Oct 16th, 2023
California-based Nisum partners with Texas-based BigCommerce to transform e-commerce experiences

Nisum, a global technology consulting firm headquartered in Silicon Valley, California has announced a partnership with BigCommerce, the Austin, Texas-based subscription e-commerce platform.

Tech in DC
Sep 27th, 2023
DC's Monumental Sports & Entertainment partners with Nisum to further strategic IT initiatives

DC's Monumental Sports & Entertainment partners with Nisum to further strategic IT initiatives.

VentureBeat
Apr 13th, 2023
Ai And Ml: The New Frontier For Data Center Innovation And Optimization

This article is part of a VB special issue. Read the full series here: Data centers in 2023: How to do more with less. As the demand for data processing and storage continues to surge, data centers are grappling with the challenge of evolving and expanding. The changing landscape of platforms, equipment design, topologies, power density requirements and cooling demands all underscore the pressing need for new architectural designs. Data center infrastructures often struggle to align current and projected IT loads with their critical infrastructure, resulting in a mismatch that threatens their ability to meet escalating requirements. Against this backdrop, traditional data center approaches must be revised.Data centers are now integrating artificial intelligence (AI) and machine learning (ML) technologies into their infrastructure to remain competitive. By implementing an AI-driven layer within traditional data center architectures, companies can create autonomous data centers that can optimize and perform generic data engineering tasks without human intervention.Turbocharging traditional architectures with AIThe proliferation of AI and ML technologies within data centers has been notable in recent years

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