Skip to main content

Backbone

Backbone provides an AI-powered quality management platform for food and feed companies, centralizing scattered quality data from existing systems like ERP, QMS, and email into a single operational hub. The platform automates recurring workflows such as incident tracking, supplier monitoring, and compliance checks against standards like BRCGS, IFS, and FSSC 22000, with human oversight for critical decisions. It includes a browser extension that assists with filling supplier questionnaires directly on external portals.

Traction 10/10
Ghent, Belgium · HQ
Founded 2025102K+ followers
  • Regulatory & Compliance Technology
  • AI Agents
  • Food Technology
  • Artificial Intelligence
  • Software Only
  • Enterprise Software
Updated 7 days ago

Funding

Raised to date

€4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Est. $4.4M

across 1 round

AD

€4M · Pre-Seed

Announced Sep 2026

Disclosed cumulative: $4.4M

Founders

3 founders

Louis Opsomer

Founder

Gent, Belgium

Since Mar 2026 · 8 mos

Showpad Business Operations Analyst

Siska Lannoo

Founder

Since Nov 2025 · 1 yr

Showpad Partner Ecosystem Lead EMEA

Julien Steel

Founder

Product

Problem

Food and feed quality teams manage hundreds of daily data points across documents, complaints, supplier information, and compliance standards, but much of this information is scattered or missed. This fragmentation forces teams to spend excessive time searching, checking, and revalidating data instead of focusing on process improvement and food safety culture. Delayed or missed signals can escalate into expensive quality problems and compliance failures.

Solution

Backbone provides a centralized AI platform that connects quality data from existing systems—ERP, QMS, email, document storage—and automatically structures and contextualizes it. The platform reads documents and maps them to BRCGS, IFS, FSSC 22000, and internal standards, keeping mappings current as requirements change. AI agents handle recurring tasks like incident tracking, supplier monitoring, and customer requests, with humans kept in the loop for critical decisions. Teams can ask questions of their quality data and receive answers linked to verified sources, enabling faster, evidence-based decisions without switching between systems.

Target Audience

Primary customers are food and feed companies ranging from single-site manufacturers to global operations, including quality managers, operations managers, and product developers who need to centralize quality operations and scale efficiently.

Features

  • AI agents that automate recurring quality workflows including incidents, incoming documents, customer requests, compliance, supplier monitoring, and NPD, with human-in-the-loop oversight
  • Real-time document scanning that maps content to BRCGS, IFS, FSSC 22000, and internal standards, with continuous updates as standards change
  • Integration with existing tools including ERP, QMS, lab systems, and document management platforms—no migration or rip-and-replace required
  • Source-linked answers to quality questions, with uncertainty flags instead of guesses to ensure reliability
  • CAPA and root cause history linked to complaints and non-conformities, preventing recurring issues from reopening files
  • Standard-agnostic compliance management across multiple frameworks and client-specific requirements
  • Browser extension for Chrome and Edge that assists with filling supplier questionnaires on external portals, reading only form structure and never pre-filled answers
This profile is AI-generated and may contain inaccuracies.