Signal Labs Launches With $25M in Early Contract Value, Defines New “Systems of Attention” Category

Backed by Lightspeed Venture Partners, the startup unveils SignalOS™ and says Apex will become generally available on April 24

SAN FRANCISCO--(BUSINESS WIRE)--Signal Labs, a startup building what it calls Systems of Attention for enterprises, launched publicly today with $25 million in signed total contract value and backing from Lightspeed Venture Partners.

The company said its platform, SignalOS™, is designed to help large organizations identify the most important signals across their business, route them to the right decision-makers, and improve how institutions act under pressure. Signal Labs also announced that Apex, the first generally available release of SignalOS, will launch on April 24, 2026.

Founded by healthcare and enterprise technology veteran Rajeev Ronanki, Signal Labs is pitching a new layer of enterprise software built not around dashboards or workflows but around coordinating institutional attention: deciding what matters now, who should act, and how confident the organization should be in that choice.

“Enterprises do not have a technology or AI problem as much as they have an attention problem,” said Rajeev Ronanki, Founder and CEO of Signal Labs. “There is no real infrastructure today for coordinating what deserves focus across leaders, teams, systems, and AI agents. We built Signal Labs to become that layer.”

“Rajeev and Signal Labs are building something rare: architectures that turn scattered signals into coordinated intelligence, both within and between stakeholders," said Galym Imanbayev, MD, Partner at Lightspeed Venture Partners. "We’re compelled by this approach - especially in healthcare, where it can address long-standing infrastructure gaps in the provider-payer administrative stack."

Signal Labs' platform combines SignalOS, the executive experience layer, with SignalGraph™, the company's coordination intelligence engine. The system is designed to detect and prioritize time-sensitive signals, route them across organizational boundaries, and write outcomes back into institutional memory. The company says its platform can be applied across sectors including healthcare, cybersecurity, freight and logistics, energy and utilities, financial services, and critical infrastructure.

Unlike many enterprise AI companies positioning themselves around copilots or task automation, Signal Labs is framing its product around higher-order coordination: helping institutions decide where to focus when signals are fragmented, fast-moving, and competing for action.

The platform is informed by ideas drawn from Fisher Information theory, the Cramer-Rao Lower Bound, Nash equilibrium, and a formal blackboard architecture described in a forthcoming technical paper by Ronanki and Dr. Plamen Petrov, CTO and General Manager, Signal Labs Trust Zones.

Signal Labs said it has signed enterprise agreements totaling $25 million in TCV since launching in January 2026, with active deployment conversations underway across healthcare, technology & operations, freight rail, and financial services.

“The industry is moving rapidly toward domain-specific AI: purpose-built models for life sciences, financial services, cybersecurity, and beyond. But as these vertical capabilities multiply, the critical missing piece is a coordination layer that helps enterprises act on the right signal at the right time across all of them,” said Sanjay Govil, Founder and Executive Chairman, Infinite Computer Solutions. “That is exactly what Signal Labs has built. Infinite believes this will become essential infrastructure as AI moves deeper into the enterprise.”

The company's scientific foundation also includes collaboration with Dr. Adam Gazzaley, a UCSF researcher known for his work on human attention and cognitive control.

“The science of attention shows that the brain does not treat every signal equally. It allocates focus based on relevance, urgency, and context,” said Dr. Adam Gazzaley, Professor of Neurology, Physiology, and Psychiatry at UC San Francisco. “Signal Labs is applying that principle to institutions in a way that is both technically ambitious and highly relevant.”

Signal Labs will mark its public debut on April 15 with The Science of Attention, an invitation-only event in San Francisco featuring a keynote from Ronanki, a fireside conversation with Gazzaley, and a live product demonstration.

About Rajeev Ronanki

Rajeev Ronanki is the Founder and CEO of Signal Labs. He previously served as CEO of Lyric and, before that, as President of Carelon Digital Platforms at Elevance Health, where he led the creation and commercialization of AI and digital platforms serving more than 45 million members. Earlier in his career, he was a Partner in Deloitte's consulting practice and helped found Deloitte's AI practice in 2011. He is the author of You and AI: A Citizen's Guide to AI, Blockchain, and Puzzling Together the Future of Healthcare.

About Signal Labs

Signal Labs is defining Systems of Attention, a new category of enterprise technology designed to help institutions determine which signals deserve attention, when, and why. Its Attention Infrastructure platform includes SignalOS, the executive experience layer, and SignalGraph, the coordination intelligence engine. Backed by Lightspeed Venture Partners, Signal Labs serves enterprise clients across healthcare, cybersecurity, financial services, freight and logistics, energy and utilities, and critical infrastructure.

Learn more at signallabs.ai.