Comparison updated August 2026
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Converteo | ML6 |
|---|---|---|
| Editorial score | 70.8/100 | Higher score: 73.3/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 250+ | |
| Location | Paris, France | Ghent, Belgium |
| Founded | — | — |
| Last reviewed | More recent review: Aug 5, 2026 | Aug 4, 2026 |
What we said about each
Our take on Converteo
Sharlie, the voice agent behind Orange's Sosh brand, is the most completely documented build in this register, and the detail is the point. Converteo committed to a voice-to-voice architecture in April 2024, before the model reached general availability, specifically to avoid a later migration off a speech-to-text pipeline—a decision that bought roughly one second of latency against three. Around thirty specialized agents hand off between themselves, escalate to a human, and act on Orange's…
Reviewed Aug 5, 2026
Read the full assessment →Our take on ML6
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…
Reviewed Aug 4, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Converteo if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in E-commerce
- broader service offering — also covers AI Marketing
Choose ML6 if you need
- closer collaboration at a smaller team scale
- disclosed specialization in FinTech / Public Sector
- broader service offering — also covers Generative AI
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Converteo
Strengths
- One engagement documented end to end, including the architecture decision, its latency cost, the evaluation rig and the kill switch—no other agency here publishes at that level
- Evaluation as a discipline rather than an afterthought: virtual clients, an LLM-as-a-judge scoring price accuracy and brand posture, and an AI bug bounty before exposure to customers
- Ten-plus named clients across retail, energy and industry, with the work described case by case rather than listed as logos
Watch-outs
- Outside the voice-agent work, most published cases are data and marketing engineering—confirm which practice your engagement lands in
- No headcount, founding year or rates published; scale and price both have to be established in conversation
ML6
Strengths
- Case studies publish client-side quotes from named engineering managers, not marketing testimonials
- Published outcomes at the national cyber security center 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
Watch-outs
- Two energy studies run anonymized 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
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more Manufacturing experience, Converteo or ML6?
- Both agencies show documented Manufacturing work. ML6 has the broader industry stack overall, with disclosed experience in FinTech, Public Sector beyond their shared focus.
- Which scores higher overall, Converteo or ML6?
- ML6 scores 73.3/100, 2.5 points higher than Converteo at 70.8/100. See our methodology for how scores are calculated.
- When should I consider both Converteo and ML6?
- Consider running parallel discovery briefs with Converteo and ML6 if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.