Our platform merges natural-language AI, document intelligence, and deep EHR/RCM integrations into a single operating layer. The result: every interaction—whether it starts as a call, a text thread, or a fax—finishes with the chart updated, the claim ready, and the patient in the loop.
Voice with medical-grade pronunciation, rich SMS & chat, secure email, and e-fax, stitched into one timeline.
Ingest PDFs, HL7, FHIR, audio, or fax; branch through healthcare decision trees; write back to any EHR.
Crawls your public site and internal docs to stay current on departments, insurance plans, prep instructions
Cloned provider voices, emotion cues, turn detection, noise suppression, bilingual fluency.
Open & fine-tuned models with PHI redaction, anti-hallucination filters, and auto-escalation triggers.
Drag-and-drop builder + sandbox simulation = 10× faster deployments.
Epic, Cerner, Athena, NextGen + Twilio, Bandwidth, Cisco, Genesys for warm hand-offs.
Self-service appointment management and eligibility checks.
Automated result delivery and next-step scheduling within mandated timeframes.
AI closes STAR/HEDIS gaps with voice+text campaigns and real-time documentation
From benefits verification to denial recovery, all without extra FTEs.
AI is transforming healthcare call centers by reducing wait times, automating
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.
Touch tens of thousands of patients or payers interactions simultaneously without needing extra staff or struggling interactions.
2X founder, MS in CS with focus on Computer Vision with experience from Cisco, TripAdvisor & as a Co-Founder/CTO Huddl.ai. Lead in building innovative solutions that combine real-time expertise and machine learning holding several patents.
Dr. Shiva Chaitanya, PhD in CS and with 15 years at Netflix, Google, and NetApp applying ML including novel distributed model training, inference pipelines, and feature engineering @ Netflix recommendations aiding user growth from 90M to 250M.
Backed by operators and funds that have scaled the most trusted names in healthcare and AI.
Get a Personalized Demo – or – Talk to an Expert
© 2025 interactly.ai | All rights reserved.