Plurio, an AI-powered performance marketing automation platform, has raised $3.5 million in funding and is now managing over $500 million in annual client ad spend. The company's AI agent automates up to 90% of a performance marketing specialist's workflow, from analysis to execution, for consumer-facing businesses with delayed conversion cycles.
The company grew out of Elly Analytics, a cross-platform marketing analytics startup founded in 2023 by Seva Ustinov and Kirill Kasimskiy. Before launching the startup, the pair spent over 20 years building a performance marketing agency that grew to 100+ people and served clients across consumer software, fintech, and healthtech.
From analytics to autonomous marketing
Plurio started as a marketing analytics product focused on aggregating data across platforms. It has since evolved into an AI agent that reads early signals in creative performance, audience quality, and channel behavior to predict outcomes before delayed conversion metrics catch up.
"In consumer products and services, I kept seeing the same thing: strong teams spending their days not on growth, but on stitching together data," Ustinov said. "Most days looked like 10% thinking and creating, and 90% clicking through platforms."
The agent integrates advertising, CRM, and revenue data into a single source of truth. Teams interact with it through natural-language prompts like "Where will revenue land if we shift 10% of spend from Meta to TikTok?" The agent evaluates factors such as seasonality, audience quality, and funnel efficiency, then forecasts scenarios, recommends actions, and executes approved changes across channels.
For marketing professionals exploring how to apply these tools, AI for Marketing training covers similar territory: using AI to analyze campaign performance and automate routine optimization work.
Customer results and funding
TripleTen, an online education company spending over $1.5 million per month on ads across Meta, Google, YouTube, and TikTok, was one of the first pilot users. Campaign analysis time dropped from 1-1.5 hours to 10-15 minutes, saving 20 hours per month. By March 2026, the company had 11 automated rules running across Search, YouTube, Facebook, and creative fatigue detection.
"The team trusts the agent enough that they're no longer just reviewing its recommendations," Ustinov said. "It starts improving the process itself, not just executing rules, but writing better rules based on what it's learned."
Plurio reports 100% retention from proposals to pilots among global EdTech and FinTech companies, with early pilot results showing 2x sales growth and 20%+ lower customer acquisition costs. The company's total funding now stands at $4.5 million, with the latest round in March 2026 backed by AltaIR Capital, DVC, Yellow Rocks, and strategic angels including Finom CEO Kos Stiskin and ManyChat founder Mike Yan.
The market opportunity is substantial. Global digital ad spending is heading toward $1.3 trillion by 2030, and marketing software and AI tools capture roughly 4% of ad spend, putting Plurio's TAM at about $15 billion. The company's serviceable market - US-based companies spending $500K or more monthly on paid acquisition - is $6 billion.
Building an AI-first company
Plurio runs its own 30-person team inside a shared AI workspace. The company removed tools like Confluence; all knowledge, processes, and client context live in structured, machine-readable formats that AI agents can act on. Ustinov has open-sourced the template for this model on GitHub.
"We spend about 4% of payroll on AI subscriptions and tokens. I expect that to reach 10% within a year," Ustinov said. "Team productivity is up 2-3x. This, to me, matters as much as the product itself. It shows that an 'AI-first' company isn't a buzzword; it's a specific, reproducible way of working."
Ustinov said product-market fit in the current market is a moving target. "It's a temporary status that lasts about three months," he said. "LLMs are evolving, Claude Code is evolving, and competitors gain access to all the same tools. So you need to find a new product-market fit every three months."
The company's roadmap includes generating creatives directly within the agent and moving toward fully autonomous performance marketing. Plurio's stated goal is to manage $100 billion in ad budgets.
For teams considering similar automation, the pattern of moving from ad-hoc questions to regular workflows to automated rules is one that AI Agents & Automation resources now cover in practical depth.
Why this matters for marketing professionals
The shift from dashboards to AI agents changes what performance marketing teams actually do. When an agent handles analysis, forecasting, and rule execution, the marketer's role moves from pulling reports to setting strategy, reviewing recommendations, and improving the rules the agent operates under. Plurio's results - 20 hours saved monthly per marketer at TripleTen, 20%+ lower CAC in early pilots - suggest the efficiency gains are real enough that teams ignoring agentic tools risk falling behind on cost per acquisition alone.
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