ML6

Ghent, Belgium

Contact for ratesResponds in 24h

About

ML6 is a Ghent AI engineering and advisory firm working from four European offices, covering AI strategy, AI governance and production machine-learning systems.

Who They Work With

Enterprises and public bodies putting AI into production systems that already carry real traffic.

Clients:EnterpriseB2B

Based on 5 documented clients · verified Aug 2026

Our Take

The published case library runs to 34 studies, and the ones read in full carry before-and-after numbers rather than adjectives—Scout24's HeyImmo assistant moved user satisfaction from 68% to 75% and first-token latency from 8 seconds to under 5, and Syngenta's lab-inspection vision model doubled analysis speed across half a million wells a year.

Studies name the stack down to the component (OpenAI direct API, Pydantic agents, DataDog on Scout24's own AWS; Vertex AI for Syngenta) and describe how the client was left able to run the system without them.

Work spans regulated and public buyers—the national cyber security centre, the EU Council newsroom, Flemish highways—alongside industrial names.

The weaker fit is a buyer wanting a fixed quote up front: no rates, headcount, or founding year appear anywhere public.

Key strengths

Case studies publish client-side quotes from named engineering managers, not marketing testimonials
Published outcomes at the national cyber security centre include 3x faster vulnerability handling and 70% faster NIS2 response
Both major clouds are in evidence—AWS and Google Vertex AI appear in separately documented builds

Good to know

Two energy studies run anonymised as "Energy Company"—ask for a speakable reference if you need one in that sector
No published rates, team size, or founding year; anchor with the EU €100-200/h band and ask who staffs the work
Delivery sits across four offices—confirm which one your team would come from

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · Aug 4, 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.

How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Scout24HeyImmo assistant for ImmoScout24: user satisfaction 68% to 75%, internal quality score 80% to 85%, time-to-first-relevant-token 8s to under 5sSource

National Cyber Security CentreVulnerability-advisory automation and NIS2 chatbots; published 85% lower implementation cost, 3x faster vulnerability handling, 70% faster responseSource

SyngentaVertex AI semantic-segmentation model for fungicide leaf inspection; doubled analysis speed across roughly 500,000 wells annuallySource

Bolt EnergieRAG ticket classification and language detection on AWS Bedrock; 80% of tickets auto-routed correctly, four days per week saved in manual sortingSource

Orange BelgiumGoogle Cloud agent-assist for customer care; outcomes published qualitatively (agent satisfaction, response accuracy) without figuresSource