Football stars back MNRGS.AI's $1m push to scale its AI artist manager

MNGRS.AI raises $1M to grow its AI-driven artist manager, backed by top footballers. Built by ex-UMG execs, it guides release plans, audiences, and careers for thousands.

Published on: Oct 25, 2025
Football stars back MNRGS.AI's $1m push to scale its AI artist manager

MNGRS.AI raises $1 million to scale AI-powered artist management

France-based Global Music Community has raised $1 million to accelerate MNGRS.AI, a digital artist management service built to guide creators on release planning, audience growth, and career strategy. The round brings in backers from music and sports, including Aurélien Tchouaméni (Real Madrid), Jules Koundé (FC Barcelona), Mike Maignan (AC Milan), and cultural entrepreneur Mamby Laye Diomandé, founder of SIMA.

Since launching its first version, MNGRS.AI says it has supported several thousand artists across Europe, North America, and Africa.

What MNGRS.AI actually does

MNGRS.AI positions itself as a "digital manager" - not a replacement for artists. It provides structured guidance across release calendars, content planning, audience development, and career moves.

"Our mission is not to replace human creativity but to give it more strength and clarity." said Co-founder & CEO Alexandre Deniot. "MNGRS.AI acts as a true career ally, helping artists focus on what truly matters: creating, evolving, and growing."

Deniot added: "We're building a service capable of understanding artists' needs, anticipating their next steps, and empowering them to succeed. Our ambition is global: to give every artist, wherever they are, access to the same level of support as the biggest names."

Who's behind it

MNGRS.AI was co-founded in 2022 by former Universal Music Group and MIDEM executives, Alexandre Deniot (CEO) and Thomas Quenoil (COO). Deniot previously led MIDEM from 2017 to 2021, introduced programming on digital transformation and emerging markets, and steered its pivot to a digital edition during the pandemic. He has also managed international artists, including multi-platinum, Grammy-nominated Candice Pillay and Nigerian pop artist Seyi Shay.

Quenoil brings over two decades in the industry with executive roles at Universal Music Group and MIDEM. He led digital initiatives, forged partnerships with Apple, Spotify, and Amazon, and ran strategy across Asia as well as Central, Northern, and Eastern Europe.

Investor signal: discipline meets development

The investor roster leans into a simple idea: high performance is coached. "These athletes and entrepreneurs share our vision of coaching, discipline, and talent development," said Quenoil. "They chose to invest in MNGRS.AI because they believe in a project that helps artists grow and build sustainable careers."

Why this matters for executives and strategy leaders

  • Manager capacity at scale: A digital manager can standardize release planning, audience segmentation, and content cadence for large rosters - useful for labels, distributors, and management firms serving long tails of artists.
  • Clear positioning: The product augments human managers. Expect hybrid workflows where teams set strategy and MNGRS.AI handles planning, prompts, and monitoring.
  • Global reach from day one: Presence across Europe, North America, and Africa hints at a product built for multilingual, cross-market workflows and fast replication.
  • Operating impact: Look for uplift on consistent release velocity, fan retention, CAC for audience growth, and campaign cycle times. Those are the KPIs to watch in pilots.
  • Risk and governance: Success hinges on data quality, artist consent, and explainability. Set clear guardrails for content guidance, privacy, and rights before scaling.

Practical next steps

  • Run a 90-day pilot with a defined artist cohort. Benchmark against past cycles on streams, engagement, conversion to owned channels, and time saved per release.
  • Integrate with existing analytics (DSP dashboards, socials, CRM). Keep a single source of truth for audience segments and campaign results.
  • Codify a playbook: who approves plans, how content themes are generated, and when human managers step in.
  • Train teams. Create a short enablement track for A&R, marketing, and management so everyone uses the same prompts, templates, and metrics.

The road ahead

With fresh capital and a base of several thousand artists, the focus now is product depth and repeatable results - smarter planning, sharper personalization, and measurable growth. If MNGRS.AI can keep its "coach, not clone" stance while proving ROI for both independents and established rosters, expect broader enterprise adoption.

If you're building internal capability around AI for creative operations and go-to-market, explore role-based training options here: AI courses by job.


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