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In a healthcare strategy wherever crab patients often hold days—or moreover weeks—for life-saving treatments owed to administrative reddish tape, RISA Labs is stepping successful pinch a powerful, AI-native solution designed to destruct 1 of nan astir persistent bottlenecks successful oncology: anterior authorization delays. Today, nan Palo Alto-based startup announced a $3.5 cardinal seed information led by Binny Bansal, co-founder of Flipkart, pinch support from Oncology Ventures, General Catalyst, z21 Ventures, ODD BIRD VC, and Ashish Gupta.
RISA Labs’ ngo is urgent: usage AI to radically simplify and accelerate nan manual workflows that guidelines betwixt crab patients and timely treatment. According to information from ASTRO surveys, 92% of crab patients look delays owed to anterior authorization, and one-third of nan doctors (33%) said anterior authorization has led to their patients abandoning radiation treatment, pinch an mean of 1 successful 10 patients leaving treatment.
At nan halfway of RISA’s solution is BOSS (Business Operating System arsenic a Service), a full-stack orchestration level that reimagines really healthcare workflows operate. Unlike emblematic AI assistants aliases robotic process automation (RPA) devices that break easy pinch strategy changes, BOSS decomposes organization workflows into micro-tasks and delegates them to an intelligent web of AI agents, including LLMs (Large Language Models), integer twins, and reinforcement learning models.
Think of BOSS arsenic an operating strategy not for individual users, but for full institutions. It operates crossed a healthcare organization's package ecosystem, enabling a parallel integer workforce that complements quality teams.
As Kshitij Jaggi, RISA’s co-founder and CEO, states: “We’ve had Windows, we’ve had Linux, we’ve had Mac—each OS helped humans extract much from machines. But now, we’re drowning successful software. Software that was expected to get activity done has go activity itself. BOSS is an AI OS for nan post-ChatGPT era—where activity is nary longer astir learning tools, but simply expressing intent.”
In real-world deployments, BOSS has already demonstrated its value. At a starring U.S. crab center, it trim anterior authorization times from 30 minutes to nether five, processed complete $1 cardinal successful medications, reduced administrative costs by 66%, and freed up 80% of unit time.
This isn’t conscionable astir redeeming time—it’s astir redeeming lives. As Dr. Jeffrey Vacirca, CEO of New York Cancer and Blood Specialists, noted: “Every hold successful curen tin impact outcomes. Prior authorizations proceed to slow america down. What RISA is building is not conscionable smart technology. It removes barriers truthful our teams tin move faster and enactment focused connected what matters most: caring for patients.”
The Technical Heart: An AI OS Built for Complexity
RISA’s BOSS is built for “low-entropy strategy design”, according to co-founder and CTO Kumar Shivang. In practice, this intends creating environments wherever AI agents tin usability efficiently moreover successful nan look of precocious strategy complexity. Inspired by cognitive subject principles for illustration System 2 reasoning (which involves slow, deliberate, and logical decision-making), BOSS is designed to bring a authorities of “flow” to artificial agents—enabling them to run pinch precision crossed highly regulated and multifaceted domains for illustration healthcare.
By tightly integrating pinch systems of grounds specified arsenic Flatiron Health’s EMR, BOSS moves beyond information study to alteration real-time orchestration. This positions RISA arsenic much than a instrumentality provider—it becomes a level for AI-native institutions, wherever intelligent agents dynamically collaborate pinch quality teams.
Founders pinch Domain Depth
RISA Labs was founded by IIT Kanpur alumni and longtime collaborators Kshitij Jaggi and Kumar Shivang, who antecedently scaled nan healthcare startup Urban Health. Their firsthand acquisition pinch slow, error-prone healthcare workflows motivated them to rethink nan full strategy from nan crushed up. Their early investigation into integer twins and operational modeling—culminating successful nan co-authored whitepaper “Digital Twin Ecosystem successful Oncology Clinical Operations”—laid nan instauration for what would go BOSS.
Now, their activity is resonating pinch apical investors and objective leaders alike. Binny Bansal, nan lead investor, framed it arsenic portion of a overmuch larger trend: “As AI agents unbundle nan $4.6 trillion services industry, RISA’s BOSS leads nan way—proven successful oncology and built to scale.”
What’s Next
With caller backing successful hand, RISA intends to deploy BOSS successful 100 further crab centers complete nan adjacent 2 years. But nan company’s ambitions don’t extremity astatine anterior authorizations. Its semipermanent imagination is to go nan AI translator partner crossed nan oncology ecosystem—from operational coordination to objective determination support—ultimately building a unified orchestration furniture for AI successful healthcare.
As nan healthcare manufacture continues to grapple pinch rising costs and workforce shortages, RISA Labs stands retired arsenic a institution not conscionable building AI tools, but reengineering really institutions function. By letting AI agents grip nan operational grind, RISA is giving time—and focus—back to those who request it most: nan doctors, nurses, and unit connected nan frontlines of crab care.