As the music industry becomes increasingly data-driven, the mechanics of promotion are evolving as rapidly as the tools that power them.
Miami-based influencer platform Influur is part of a new wave of companies building AI-native infrastructure for music marketing, aimed at helping labels, artists, and managers operate with greater precision and scale.
The platform, founded by Alessandra Angelini, Valeria Angelini, Paula Coleman and Fefi Oliveira, is designed to revolutionize the way brands connect with influencers while empowering creators with fintech tools and data-driven analytics.
New to the Influur platform, which counts Meta, Paramount, Netflix, TikTok, Warner Music Group, and Hard Rock Cafe among its brand clients, is Pulse, an AI-powered system designed to support modern music campaigns through influencer marketing.
Pulse provides tools for creator discovery, campaign management, and performance analytics, enabling labels, artist teams, and campaign managers to coordinate activations and monitor audience engagement in real time.
In this conversation, Influur’s founders outline the company’s strategic focus, the problems it aims to solve, and how AI is reshaping the operational backbone of music promotion.
With your recently released Pulse platform, what gap in the music and creator economy were you most determined to solve?
Music discovery moved to social platforms years ago. Marketing infrastructure did not move with it. Labels are still running influencer campaigns the way they ran them when discovery was radio: build a list manually, send hundreds of emails, wait for replies, approve content, post, then read a retrospective report three weeks later about what already happened.
By the time that report lands, the cultural moment is gone.
That is the gap Pulse was built to close. Music teams are not short on data. They are short on systems that help them act on it fast enough. Pulse turns the days between “we see momentum” and “we have hundreds of creators posting” into minutes.
Music is notoriously unpredictable. How does Pulse account for the chaotic, trend-driven nature of platforms like TikTok?
By treating the chaos as the job, not the obstacle.
Pulse runs continuously in the background instead of as a one-time setup tool. It analyzes content velocity, creator behavior, audience response, and cultural momentum in real time. When a sound starts taking off in an unexpected genre or country, Pulse surfaces it before a marketing team would catch it manually. When a creator goes unresponsive or underperforms mid-campaign, the system automatically recommends similar alternatives so the campaign keeps moving instead of stalling.
The Pulse Score is calibrated to virality potential for a specific song, not generic creator metrics. A creator with 50,000 followers who consistently drives sound usage will rank above a creator with 5 million followers who never has. Music-specific signals, not vanity metrics.
Who is your primary target user today for Pulse—and how does the platform adapt to serve each of those segments effectively?
Marketing and digital marketing teams at major labels. A&R teams at major and indie labels. Each one cares about something slightly different. Marketing teams want speed and budget discipline.
A&R wants to catch cultural momentum before it peaks. Management teams want to make one or two artists land hard without burning a six-person team in the process.
Pulse adapts by giving every team a shared workspace where outreach, approvals, content submissions, and performance visibility live in one place. So the manager, the artist, and the label can stop chasing each other across email threads and Slack messages while a release window is closing.
Influur positions itself as a solution for scaling music promotion. What specific problems are you solving for artists and teams trying to break through in a saturated digital landscape?
In a saturated market, the differentiator stopped being “do you have a campaign.” It became “can you move faster than the cultural moment is moving.”
Three specific problems Pulse solves. First, speed. Manually building a campaign across hundreds of creators takes a minimum of 48 hours. Pulse does it in under four minutes.
That is the difference between catching a wave and watching it from shore. Second, selection bias. Creator selection has historically been driven by relationships and gut feel.
Pulse Score brings objective signals to a subjective decision: virality potential per release, not who replied to the email first. Third, fragmentation. Most teams run campaigns across spreadsheets, email, Slack, three vendor platforms, and a payment system held together with hope.
Pulse centralizes discovery, execution, payments, and real-time reporting in one system built for how music teams actually work.
The result for artists: more creators activating in the window that matters, with a team that is actually aligned.
How does Pulse actually function in a real-world campaign? When you describe it as an end-to-end AI agent for influencer-driven music marketing, what specific tasks does it handle—and how much of the process is automated versus guided by a team?
Walk through a typical release campaign.
A marketing lead opens Pulse and prompts it for a campaign around a release. They give it the song, the budget, the markets, and any creative direction. Pulse generates a curated creator list, ranked by Pulse Score and optimized to the budget. Five minutes in, the team has a list that used to take two days to build.
From there the team reviews and adjusts. The agent adapts conversationally as strategy shifts, swapping creators in and out, repricing the budget mix, balancing for genre fit. Once the team approves, Pulse triggers personalized outreach to hundreds of creators in parallel.
As they respond, content gets submitted, reviewed, and approved inside the shared workspace.
Payments are held in escrow and released automatically when the work is delivered.
While the campaign is live, Pulse monitors performance and surfaces signals. If a creator stalls, the agent recommends a similar replacement so the campaign does not lose velocity. If a creator overperforms, the team can double down in real time.
What is automated: discovery, scoring, list building, outreach, payments, replacement recommendations, real-time performance signals. What stays human: strategy, creative approval, the final call on which creators to greenlight, and how to react to unexpected momentum. Pulse is the agent. The team is still the decision-maker.
As AI becomes more embedded in the creative process, where do you see the balance between human artistry and machine-driven optimization in music marketing?
Marketing is where AI earns its place. Artistry is where it does not.
The job of music marketing has always been to find the people who will love a song and help them find it faster. That is a problem of pattern recognition at scale, which is exactly what AI is good at.
A team of three humans cannot manually evaluate 80,000 creators against a single song in any reasonable time. An agent can, and should.
The artistry, the song itself, the visual identity, the story the artist is telling, that is not something we want a machine optimizing.
What’s the biggest misconception labels or artists still have about going viral today?
That virality is something you create at the moment of release. It is not. Virality is something you catch.
By the time a song shows up on a label’s “this might be breaking” radar, the early signals were already there, and the creators driving the sound were already finding it on their own. The window to scale that organic momentum is small. Often days. Sometimes hours.
The misconception is that more spend or a bigger creator roster fixes a slow start. It does not.
What fixes it is moving with the signal the second it appears, not three weeks later when the analytics report comes in.
The labels winning right now are not the ones spending the most. They are the ones reacting the fastest.
Looking ahead five to ten years, how do you see AI reshaping not just music promotion, but the broader music ecosystem—from discovery to fan engagement to revenue models?
Three shifts we are betting on.
Discovery becomes hyper-personalized at the genre and sub-culture level. Algorithmic discovery already segments listeners better than radio ever did. AI agents will go further, surfacing songs to communities that match a release’s emotional and visual identity, not just its tempo and key.
Fan engagement becomes participatory. The most viral moments today come from creators making content with a song, not just listening to it. AI tools that let fans remix, reinterpret, and visually reimagine a song, with rights cleared and revenue shared, will become a real income stream for artists, not a side experiment.
Revenue models stop pretending streaming alone is enough. Labels and artists will earn from creator-driven UGC, AI-licensed sound usage, and direct-to-fan platforms in ways that are tracked and compensated automatically.
Pulse already operates at the layer where music meets creators. Where it goes next is making sure that every time a song moves through culture, the artist gets paid for it.
The bigger picture: the labels that thrive in this next decade will be the ones that treat AI as infrastructure, the way they treat distribution today. Not as a threat to creativity.
As the system that lets creativity reach people faster than ever before.
Good read!
We produce very cool and popular songs in different languages and genres. Healing vibes and positive lyrics. Great beats. We produce both new & established artists.https://open.spotify.com/playlist/37i9dQZF1DZ06evO3fX5Gb
Love this!!!