Signal Labs Launches with $25M as Rajeev Ronanki Unveils a New "Systems of Attention" Era
AI / Machine Learning | 4 min read
Signal Labs, a San Francisco-based enterprise AI startup, has launched publicly with $25 million in signed total contract value and backing from Lightspeed Venture Partners. Founded by healthcare and enterprise technology veteran Rajeev Ronanki, Signal Labs is defining a new category of enterprise software it calls Systems of Attention — built not around dashboards or workflows, but around coordinating institutional attention: determining what matters now, who should act, and how confident the organisation should be in that choice. The company signed its first enterprise agreements since launching in January 2026, with active deployments underway across healthcare, technology and operations, freight rail, and financial services. Signal Labs will also launch Apex — the first generally available release of its SignalOS™ platform — on 24 April 2026.
"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. That is exactly what Signal Labs has built. Infinite believes this will become essential infrastructure as AI moves deeper into the enterprise."
— Sanjay Govil, Founder and Executive Chairman, Infinite Computer Solutions
The Problem Signal Labs Is Solving: Institutions Fail From Missed Signals
Signal Labs' founding premise is that institutions do not fail because they lack data — they fail from missed signals. As enterprises deploy fleets of domain-specific AI models across vertical use cases, the volume of signals these systems generate has grown exponentially. The challenge is no longer whether AI can surface insights; it is whether the right insight reaches the right decision-maker at the right moment, with enough context and confidence to drive action. Traditional dashboards and workflow tools were not designed for this: they surface information without coordinating attention, leaving executives and operators to sort through noise without a principled mechanism for prioritisation. Signal Labs calls this unsolved problem the coordination layer — the missing infrastructure between a proliferating set of domain-specific AI capabilities and the humans who need to act on them. The company's scientific foundation reflects this framing: Signal Labs has established collaboration with Dr. Adam Gazzaley, a UCSF researcher known for his work on human attention and cognitive control, grounding the product's architecture in neuroscience as much as enterprise software design.
The Platform: SignalOS, SignalGraph, and the Apex Launch
Signal Labs' Attention Infrastructure platform consists of two core components. SignalOS™ is the executive experience layer — the interface through which decision-makers interact with the system's signal routing, prioritisation, and recommended actions. SignalGraph is the coordination intelligence engine — the underlying architecture that detects, routes, and remembers the signals that drive decisions across the enterprise. On 24 April 2026, Signal Labs will launch Apex, the first generally available release of SignalOS, which will bring the full platform to enterprise customers across healthcare, cybersecurity, financial services, freight and logistics, energy and utilities, and critical infrastructure. The platform launch follows Signal Labs' public debut on 15 April 2026 with "The Science of Attention" — an invitation-only event in San Francisco featuring a keynote from Ronanki, a fireside conversation with Dr. Gazzaley on the neuroscience of attention and decision-making, and a live product demonstration.
Founder Background — Built From the Intersection of Healthcare AI and Enterprise Scale
Rajeev Ronanki brings deep experience across the intersection of AI, healthcare, and enterprise technology. 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 commercialisation of AI and digital platforms serving more than 45 million members. Earlier in his career, Ronanki was a Partner in Deloitte's consulting practice and helped found Deloitte's AI practice in 2011. He is also the author of You and AI: A Citizen's Guide to AI, Blockchain, and Puzzling Together the Future of Healthcare. His background in regulated, high-stakes enterprise environments — where the cost of missed signals is measured in lives and compliance failures, not just missed revenue — informs Signal Labs' focus on sectors where the coordination of institutional attention is most consequential.
Key Takeaways
- • Signal Labs (San Francisco; founded by Rajeev Ronanki; backed by Lightspeed Venture Partners) has launched publicly with $25M in signed total contract value — accumulated since January 2026 — across healthcare, technology and operations, freight rail, and financial services. Defines the new "Systems of Attention" category: enterprise software built around coordinating institutional attention, not dashboards or workflows. Apex (first GA release of SignalOS) launches 24 April 2026.
- • The core premise: institutions do not fail because they lack data — they fail from missed signals. As domain-specific AI capabilities multiply across vertical use cases, the critical missing layer is a coordination mechanism that ensures the right signal reaches the right decision-maker at the right time with sufficient context and confidence for action. Traditional dashboards and workflow tools cannot perform this function; they surface information without coordinating attention or prioritising action.
- • Platform architecture: Attention Infrastructure with two core components — SignalOS™ (executive experience layer: signal routing, prioritisation, recommended actions interface) and SignalGraph (coordination intelligence engine: detects, routes, and remembers signals driving enterprise decisions). Scientific collaboration with Dr. Adam Gazzaley (UCSF; human attention and cognitive control research) grounds the product design in neuroscience. Serves healthcare, cybersecurity, financial services, freight and logistics, energy and utilities, and critical infrastructure.
- • Founder background: Rajeev Ronanki — former CEO of Lyric; former President of Carelon Digital Platforms at Elevance Health (45M+ members served; AI and digital platform commercialisation); Partner at Deloitte; co-founder of Deloitte's AI practice (2011); author of You and AI: A Citizen's Guide to AI, Blockchain, and Puzzling Together the Future of Healthcare. His experience in high-stakes, regulated environments (healthcare, critical infrastructure) directly informs Signal Labs' sector focus.
- • Strategic context (Sanjay Govil, Infinite Computer Solutions): the enterprise AI market is moving rapidly toward domain-specific, purpose-built vertical AI models for life sciences, financial services, cybersecurity, and beyond. As these vertical capabilities multiply, the coordination layer — deciding which signals deserve attention, when, and why, across all of them — is the critical missing infrastructure. Signal Labs is positioning SignalOS as that coordination layer: essential enterprise AI infrastructure as vertical AI deepens across the enterprise.