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Delty - Healthcare's AI operating system

Transform Healthcare Operations with AI Agents

Hey everyone šŸ‘‹ we’re Lalit & Catherine, co-founders of Delty.

TL;DR

šŸš€ Delty is your AI Operations Assistant for healthcare. It’s a HIPAA-compliant, multilingual voice AI that handles intake, scheduling, referrals, pharmacy requests, and more—saving staff hours every day and helping practices retain more patients.

Use Delty to:

  • Automate patient intake and insurance verification
  • Increase booked appointments, reduce no-shows, and fill unused slots
  • Offload billing questions, eligibility checks, and non-clinical calls
  • Accelerate pharmacy workflows and referral routing

Healthcare teams using Delty cut missed calls by 40% and double their operational speed.

If your practice is overwhelmed with call volume, scheduling gaps, or administrative backlog, email lalit@delty.ai or book a demo.

🚩 The Problem

Patients expect fast, reliable communication. Practices want their staff focused on care. But today:

  • Phone lines stay jammed
  • Intake takes too long
  • Scheduling slips through the cracks
  • Referrals and pharmacy requests stall
  • Administrative tasks burn out your team

Meanwhile, most ā€œAI phone assistantsā€ are either inflexible, not secure, or can’t integrate with the systems practices actually use.

Healthcare teams need more than a chatbot—they need an operational teammate.


šŸ› ļø Our Solution

We built Delty, an AI agent designed specifically for healthcare operations. It’s secure, connected, and fully capable of handling the 80% of work that doesn’t require a human.

  • 🌐 HIPAA + SOC 2: Every call, note, and transcript is encrypted end-to-end.
  • šŸ”Œ Connects to Every System: Works with both modern and legacy electronic medical records. No new dashboards. No extra logins.
  • ⚔ Deploys in Under 48 Hours: Practices are live within two days without heavy IT lift.

What Delty Can Do

  • 🧾 Patient Intake — Reduce Missed Calls by 40%: Collects demographics, insurance, and eligibility automatically—while writing everything directly into your electronic medical record.
  • šŸ“… Scheduling & Reminders — Increase Booked Appointments by 25%: Books, reschedules, and confirms appointments using machine learning models trained to reduce no-shows.
  • šŸ’³ Billing & Non-Clinical Tasks — Cut Handle Time by 35%: Answers questions, verifies benefits, and logs payments—without tying up your front desk.
  • šŸ’Š Pharmacy & Referrals — 2Ɨ Faster Turnaround: Automates refills, status updates, and referral routing to speed up care.

Healthcare teams tell us: ā€œIt’s like adding a fully trained coordinator who never gets tired.ā€

šŸ‘« The Team

Lalit and Catherine built large-scale systems together at YouTube, handling billions in revenue. That’s where they first saw the gap: AI tools that could code, but couldn’t engineer.

Lalit launched Google Pay in India and rose to Staff Engineer at YouTube in just six years. He led a 45-person team building monetization systems driving $XXB+ ARR. A lifelong programmer, his journey began with competing in the ACM-ICPC World Finals during college.

Catherine started her career at YouTube as a SWE before joining Google’s APM program, where she worked on ChromeOS and internal GenAI infrastructure, including multimodal model evals and AI agents for enterprise use. She holds a BA in Computer Science from Dartmouth.

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