ExaCare AI Tech Stack

AI platform automating admissions and reimbursement decisions for skilled nursing facilities

Software Development New York 51–200 employees Privately Held

ExaCare AI builds operational automation for skilled nursing and home care, focusing on admissions workflows, reimbursement, and clinical documentation. The tech stack reveals a mature ML infrastructure (PyTorch, Ray Tune, MLflow, Weights & Biases, transformers, RAG) paired with enterprise systems (NetSuite, QuickBooks), indicating a data-science-driven company handling complex unstructured input. Hiring is heavily weighted toward engineering and support — reflecting a post-Series A growth phase balancing product velocity with customer success at 1,500+ facilities.

Tech Stack 29 technologies

Core StackNetSuite QuickBooks Tableau Figma AWS TypeScript PostgreSQL React Intercom Zendesk Python PyTorch MLflow Weights & Biases Slack Zoom Ashby RAG Excel Google Sheets Loom SQL YouTube Optuna Ray Tune Transformers Google Workspace Outlook LinkedIn Recruiter

AdoptingNetSuite

What ExaCare AI Is Building

◆Challenges

Messy unstructured referral packets
Scaling support function
Improving training effectiveness
Shortening time-to-value
Manual work
Improving support tooling
Reducing administrative burden
Modernizing admissions and care delivery
Fragmented admission processes
Onboarding process scaling

▲Active Projects

Pilot and full rollouts
Onboarding and training program
Platform configuration
World-class support function
Implement processes that scale
Inform product improvements
Build playbooks for scaling
Fundraising diligence
Go-to-market strategy refinement
Scalable support assets

Hiring Activity

Accelerating35 roles · 20 in 30d

Department

Engineering

Support

Ops

Finance

Executive

Marketing

Sales

Seniority

Senior

Mid

Junior

Lead

Manager

Intern

Notable leadership hires: Chief of Staff

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About ExaCare AI

ExaCare AI provides a purpose-built platform for post-acute care operators, automating the intake and decisioning workflows that currently consume significant manual effort across admissions, reimbursement, clinical insight, documentation, and survey readiness. The product takes unstructured referral data and surfaces clinical risk signals, standardizing decisions across shifts and teams in real time. The company operates at scale, supporting 1,500+ facilities nationwide. Recent Series A funding (led by Insight Partners) is fueling expansion in product development, go-to-market, and customer support operations.

HeadquartersNew York

Company Size51–200 employees

Hiring MarketsCanada, United States

Frequently Asked Questions

What AI and ML tools does ExaCare AI use?

PyTorch, Ray Tune, MLflow, Weights & Biases, Transformers, and RAG (Retrieval-Augmented Generation) for model training, experiment tracking, and unstructured data interpretation.

Where is ExaCare AI headquartered and hiring?

Headquartered in New York. Actively hiring in both the United States and Canada.