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Magentic

AI digital workers for procurement workflows

Overview

Magentic builds AI digital workers for procurement and supply-chain workflows at large industrial manufacturers. Its multi-agent systems run inside tools teams already use (Microsoft Teams, email, and internal enterprise systems) to automate end-to-end tasks from buy-vs-build decisions to contract negotiation, order management and invoice processing across direct and indirect spend. The product embeds autonomous agents into familiar enterprise tools so teams can execute workflows without switching context. The company targets Global 500 manufacturers facing rising workloads and legacy fragmentation, aiming to reduce manual effort and speed procurement outcomes by expanding agent coverage and advancing AI for industrial optimization.

Significant Headcount Growth

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About Magentic

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

Industries

Data & AnalyticsIndustrial & ManufacturingEnterprise SoftwareAI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$23.5M

Headquarters

London, United Kingdom

Founded

2024

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Simplify's take

What believers are saying

  • One customer runs over one million annual orders through Magentic agents.
  • Another customer already identified four million dollars in savings by September 2026.
  • Magentic claims 2-5% savings and sixty percent better data quality across Global 500 manufacturers.

What critics are saying

  • SAP Ariba, Coupa, and JAGGAER now ship agentic procurement features in 2026.
  • Pactum, Freehand, and Didero attack the same workflow with larger funding and reach.
  • If enterprise pilots stall, Magentic's category gets absorbed by incumbents by 2027.

What makes Magentic unique

  • Founded July 2025, Magentic embeds Mages inside Teams, email, and ERP.
  • September 17, 2026 Series A with Felicis, Sequoia, and Westly funds long-horizon research.
  • Siemens Procurement partnership and Global 500 deployments prove traction in industrial workflows.

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Funding

Total Funding

$23.5M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
$15M
$18M
$30M

Benefits

  • Company Equity
  • Meal Benefits
  • Childcare Support
  • Hybrid Work Options
  • Company Social Events

Growth & Insights and Company News

6 month growth

10%

1 year growth

14%

2 year growth

18%
Axios
Sep 17th, 2026
Magentic raises $18M Series A for agentic procurement data platform

Magentic, an agentic platform for procurement data, has raised $18 million in Series A funding led by Felicis, CEO Robin Van Aeken told Axios Pro. The platform uses AI to help procurement teams navigate fragmented data. This assists them in adapting to manufacturing demand pressures, changing tariffs, and budget constraints. The funding will support the company's development of AI-powered tools designed to streamline procurement processes for businesses facing complex supply chain challenges.

FinSMEs
Jul 22nd, 2025
Magentic Raises $5.5M in Funding

Magentic raises $5.5M in funding.

PR Newswire
Jul 22nd, 2025
Magentic Secures $5.5M for AI Savings

Magentic, an AI Agent Platform, has raised $5.5 million in a funding round led by Sequoia Capital. The investment, which also saw participation from The Westly Group, First Momentum Ventures, and angel investors from companies like SAP, Airbus, and McKinsey & Company, aims to accelerate the growth of Magentic's team.

Venture Capital
Jul 22nd, 2025
Magentic Raises $5.5M to Expand AI Agent Platform for Manufacturing Supply Chains

Magentic secures a $5.5 million funding round led by Sequoia Capital to further develop its AI agent platform for identifying and delivering cost savings in manufacturing supply chains.

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