Healthcare does not fail only because of missing data. It fails because important conversations do not become action.
Every hospital, plan, and care team generates thousands of signals a day. Most fail somewhere between detection and follow-up. Interactly exists to close that gap.
2023. A referral coordinator at a specialty clinic worked through a spreadsheet of 800 patients waiting for authorizations. Most had been sitting for weeks. Not because the work was hard — because no system carried it from one hand to the next.
That gap between a signal fired and an action completed is where healthcare loses trust, revenue, and outcomes. We started Interactly to close it — not with another point tool, but with a governed platform that ingests signals, engages the right person, applies policy, and writes back to your systems of record.
Today Interactly runs across providers, payers, and care teams — resolving conversations, closing care gaps, and measuring every outcome.
One continuous conversation across voice, SMS, chat, email, and fax—no channel silos.
Pay for scheduled visits, cleared prior-auths, and satisfied quality measures, not for “bot minutes.”
Hyper-realistic practice runs surface edge-cases and PHI-risks before go-live.
HIPAA, SOC 2, clinical-escalation triggers, and built-in coding rules keep every task compliant.
We're a team of builders, operators, and engineers who've lived the challenges of healthcare. Interactly was born to solve them—at scale.



Vivek Thunga, 15 years building and scaling go-to-market engines across healthcare data, analytics, and AI, including revenue leadership at XCaliber Health, Tredence, and Innovaccer. Aligns sales, partnerships, and customer success across specialty practices, MSOs, health systems, and payers. MBA, IIM Ahmedabad (exchange at Olin, WashU).
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Vivek Thunga, 15 years building and scaling go-to-market engines across healthcare data, analytics, and AI, including revenue leadership at XCaliber Health, Tredence, and Innovaccer. Aligns sales, partnerships, and customer success across specialty practices, MSOs, health systems, and payers. MBA, IIM Ahmedabad (exchange at Olin, WashU).
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M.Tech from IIIT Hyderabad, with 11 years at Innovaccer scaling from early engineer to Director of Engineering – Platform, owning Core Services and healthcare interoperability (FHIR, CMS-9115-F) across a $4M budget. Built and led engineering orgs of 50+, scaling platforms to 70+ microservices handling 10M+ messages/month.
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M.Tech from IIIT Hyderabad, with 11 years at Innovaccer scaling from early engineer to Director of Engineering – Platform, owning Core Services and healthcare interoperability (FHIR, CMS-9115-F) across a $4M budget. Built and led engineering orgs of 50+, scaling platforms to 70+ microservices handling 10M+ messages/month.
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PhD in Natural language processing and machine learning with 10+ years building production AI systems across Amazon, AI2, SRI International, and AI startups. His expertise spans across conversational AI, Large language model training and post-training, distributed model training, summarization, and information extraction. He has contributed to general-availability launches for Amazon Comprehend and published research at leading venues including ACL, AAAI, and EMNLP.



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PhD in Natural language processing and machine learning with 10+ years building production AI systems across Amazon, AI2, SRI International, and AI startups.






Backed by operators and funds that have scaled the most trusted names in healthcare and AI — from category-defining infrastructure to enterprise SaaS at IPO scale.








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