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Nivoda Tech Stack

B2B jewelry marketplace connecting wholesale suppliers and buyers globally

Wholesale Luxury Goods and Jewelry London, England 201–500 employees Founded 2017 Privately Held
nivoda.com LinkedIn

Nivoda operates a B2B marketplace for jewelry wholesale, connecting suppliers with retailers and traders globally. The tech stack reveals a data-intensive operation: Node.js/Python backend, Kafka for event streaming, Snowflake for analytics, and three identity-verification tools (Jumio, Onfido, Sumsub) — signaling deep compliance and anti-fraud requirements typical of high-value commodity trading. Active projects focus on customer segmentation, churn modeling, and lead scoring, paired with logistics optimization and SDR scaling in EMEA — a pattern that suggests growth is shifting from product discovery toward operational efficiency and regional expansion.

Tech Stack 38 technologies

Core StackNode.js Python Kafka GraphQL AWS Slack Salesforce NetSuite SAP Workday Stripe PostgreSQL Shopify ThoughtSpot Ashby Amplitude Mixpanel Optimizely Apex GCP Rhino Google Drive Avalara Vertex WhatsApp Corel Jumio Onfido Sumsub LaunchDarkly+7 more
ReplacingHubSpot

What Nivoda Is Building

◆Challenges

  • Inefficiency in diamond trading
  • Optimizing supply chain logistics
  • Imperfect data for decision making
  • Underperforming growth opportunities
  • Large data volumes
  • Mid-migration from hubspot to salesforce
  • Opacity in diamond trading
  • Improving delivery speed
  • Reducing delivery costs
  • Scaling hr practices

▲Active Projects

  • Customer segmentation and churn risk modeling
  • Lead scoring and activation prediction
  • Growth and opportunity modeling
  • Shopify integration
  • Real-time reporting dashboard
  • Snowflake data stream architecture
  • Building pipeline for expansion
  • Automated dashboards for fulfillment kpis
  • Scaling sdr function in emea
  • Performance monitoring system for courier performance

Hiring Activity

Accelerating35 roles · 25 in 30d

Department

Ops
7
Engineering
6
Data
5
Sales
5
Finance
3
HR
2
Operations
2
Logistics
1

Seniority

Senior
17
Mid
7
Junior
6
Lead
2
Manager
1

Notable leadership hires: Tech Lead

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About Nivoda

Nivoda is a B2B marketplace platform serving the wholesale jewelry industry, operating across multiple geographies with headquarters in London. The platform connects diamond and jewelry suppliers with buyers (retailers, traders, jewelers), providing order management, pricing transparency, and logistics coordination. The company is mid-migration from HubSpot to Salesforce and actively building data infrastructure around Snowflake and real-time reporting. With 201–500 employees and 33 open roles spread across ops, engineering, data, and sales, the company is scaling regionally while tackling supply chain optimization and delivery speed as core operational challenges.

HeadquartersLondon, England
Company Size201–500 employees
Founded2017
Hiring MarketsIndia, Portugal, United States, Spain, United Kingdom

Frequently Asked Questions

What tech stack does Nivoda use?

Nivoda's core stack includes Node.js and Python for backend services, Kafka for streaming, PostgreSQL and Snowflake for data, AWS and GCP for cloud infrastructure, GraphQL for APIs, and Salesforce + NetSuite for business operations. Identity verification relies on Jumio, Onfido, and Sumsub.

What is Nivoda working on?

Current projects include customer segmentation and churn modeling, lead scoring, Shopify integration, Snowflake data architecture, real-time reporting dashboards, automated fulfillment KPI dashboards, and scaling SDR operations in EMEA. Logistics optimization and courier performance monitoring are also in active development.

How this profile is built

Nivoda's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.