echoloc

Collectly Tech Stack

AI-powered patient billing and revenue cycle automation for healthcare providers

Software Development San Francisco, California 51–200 employees Founded 2017 Privately Held

Collectly automates patient financial workflows across intake, engagement, and payment collection using Python, FastAPI, React, and integrations with Epic and Salesforce. The stack signals a traditional healthcare enterprise play (EHR/PM connectors, Salesforce CRM), but the presence of Temporal, Puppeteer, and LLM-based work reveals a push toward asynchronous process automation and AI-driven support—anchored by Billie, an AI billing agent. Sales-heavy hiring (4 open roles) paired with simultaneous engineering and product scaling indicates a land-and-expand motion in mid-market health systems.

Tech Stack 21 technologies

Core StackGong Python FastAPI Flask React Epic Systems Salesforce PostgreSQL Redis Celery Selenium TypeScript ZoomInfo Node.js AWS Temporal LinkedIn Sales Navigator SQLAlchemy Redux Toolkit GCP Puppeteer

What Collectly Is Building

Challenges

  • Rising administrative burden
  • Inefficiencies in healthcare billing
  • Delayed payments
  • Operational complexity
  • Inefficient billing systems
  • Claim denials
  • Eligibility not verified
  • Benefits misread
  • Accelerating cash flow
  • Reducing administrative overhead

Active Projects

  • Enterprise revenue motion
  • Pipeline health and discipline
  • Strategic execution improvement
  • Post-service product line
  • Billie product line
  • Llm-based patient support
  • Implementation of collectly saas solutions in healthcare facilities
  • New product launch gtm plans
  • Customer case study development
  • Sales enablement resource creation

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Sales
4
Engineering
3
Product
3
Support
2
Marketing
1

Seniority

Senior
8
Manager
2
Principal
2
Director
1
Company intelligence

Find more companies like Collectly by tech stack, pain points and active projects

Get started free

About Collectly

Collectly provides an AI-powered revenue cycle management (RCM) platform designed for healthcare providers—ambulatory groups, acute care systems, RCM vendors, and behavioral health organizations. The product spans digital intake, pre-service financial engagement, payment processing, and post-visit collections, with Billie functioning as an automated billing support agent that handles patient inquiries across chat, email, SMS, and voice. The company integrates with major EHR and practice management systems (Epic, Salesforce) to embed financial workflows into existing provider operations. Collectly targets cost reduction in collections, faster payment capture, and improved patient satisfaction across the revenue cycle. Founded in 2017, the company operates from San Francisco with 51–200 employees.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Collectly use?

Collectly runs on Python, FastAPI, Flask, React, and TypeScript on AWS/GCP infrastructure, with PostgreSQL and Redis for data, Celery for task queuing, and Temporal for workflow orchestration. EHR/PM integrations use Epic Systems and Salesforce connectors.

What is Collectly working on?

Current projects include the Billie AI billing agent product line, LLM-based patient support automation, enterprise revenue motion and sales enablement, new product launch GTM, and implementation of SaaS solutions across healthcare facilities.

Similar Companies in Software Development

Other companies in the same industry, closest in size

How this profile is built

Collectly's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.