Lyric secures $43.5M Series B to bring AI-Driven Autonomy to Global Supply Chains

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Lyric secures $43.5M Series B to bring AI-Driven Autonomy to Global Supply Chains
© Lyric

Lyric, a California-based AI platform for supply chain decision-making, has raised $43.5 million in a Series B round led by Insight Partners, bringing total funding to $67 million.

The company has seen 500% revenue growth in the past 18 months and now serves nearly 30 major global enterprises.

From dashboards to decision intelligence

Built by alumni of Opex Analytics, LLamasoft, and Coupa, Lyric offers a platform called Lyric Studio that lets enterprises build AI-powered decision products—not just dashboards. These modular, no-code apps support real-time decisions across network design, demand forecasting, inventory optimization, and more.

Its architecture is built around four core layers:

  • Data infrastructure for pipeline and model prep
  • Algorithm catalog for simulation and optimization
  • Workflow builder for flexible, no-code logic
  • Application builder for rapid internal tool deployment

Lyric also integrates NVIDIA’s cuOpt solvers, allowing faster, GPU-accelerated simulations and planning.

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Veteran team rethinking supply chain logic

Founded by Ganesh Ramakrishna (ex-Opex co-founder), the team includes Ronan O’Donovan (Product), Vish Oza (ML), Sarang Jagdale (Algorithms), Karthik Mutukrishnan (Engineering), and Sara Hoormann (Strategy & Marketing). The founding team brings deep experience in both AI and enterprise logistics, having helped build tools used by Fortune 500 companies for over a decade.

“Today’s supply chains are too volatile for static systems,” said Ramakrishna. “We’re building adaptive infrastructure that moves with the business — not against it.”

Next up: 10x customer growth and a global playbook

With the new capital, Lyric will:

  • Expand its library of reusable AI models
  • Enhance simulation and automation features
  • Build out customer onboarding and success teams
  • Invest in community and developer education

The company aims to scale from 30 to 300+ enterprise customers in the coming years, targeting a market of 10,000+ organizations globally in need of AI-native decision platforms.

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