Infinitus
infinitus.ai
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Overview
Infinitus automates the phone calls that healthcare organisations make to insurers to check benefits and prior authorisations. Its voice agents complete the call, navigate hold queues and return structured data into the caller's system. The company has run millions of these calls for payers, providers and pharmacies.
News
What Does Infinitus Think About the Relationship Between AI Automation and Human Oversight? PharmExec
Ankit Jain, CEO, Co-Founder, Infinitus touches on the approach to human oversight in an effort to build trust in autonomous patient access workflows by keeping humans and AI in a continuous feedback loop.
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Becker's Healthcare Podcast
The Becker's Healthcare Podcast is devoted to the people who power U.S. healthcare. Four new 15-minute episodes are released daily containing industry news, analysi…
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New at Infinitus: August 2026
This month, the Infinitus team launched new features to: Make your outbound call center function like an inbound one Instantly collect more data digitally through API integrations Obtain attestations quickly and more efficiently with a new provider-facing
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Why can't we have all or nothing in healthcare AI?
A double-click on Infinitus Agentic Response Control (ARC) Ask most vendors how their AI agent handles a sensitive question, and you'll get one of two answers. Either the agent is fully scripted, which means it's safe, but rigid; or it's fully generative,
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The hidden cost of context-switching: where your best coordinators spend 40% of their time before the call even starts
Picture a patient access coordinator five minutes before a call with a patient. She needs the insurance eligibility status, which lives in one Customer Relationship Management (CRM) tool. She needs the case history, which lives in another system entirely.
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Technologies
Tech DNA
Python
Java
TypeScript
React.js
Together AI
MuleSoft
AWS
LLM
AI/ML
Python
SQL
C++
AI Agents
Knowledge Graph
LLM Guardrails
Edge AI
LLM
Together AI
Model Context Protocol
Prompt Engineering
RAG
Copilot
dbt
AWS
GCP
Other
Java
TypeScript
Go
JavaScript
Apex
MuleSoft
React.js
Tableau
Salesforce
Stack modernity
80/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
AI Agents
7 jobs
Required
Knowledge Graph
7 jobs
Required
LLM Guardrails
7 jobs
Required
Python
3 jobs
Required
Edge AI
2 jobs
Required
Java
2 jobs
Required
TypeScript
2 jobs
Required
LLM
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
16%
SQL
15%
JavaScript
13%
AWS
13%
TypeScript
11%
AI Agents
11%
Share of companies in the same industry that use each technology.
Stack changes
Tableau
Sep 2026
dbt
Sep 2026
Apex
Sep 2026
MuleSoft
Sep 2026
Copilot
Sep 2026
JavaScript
Sep 2026
SQL
Sep 2026
React.js
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Snowflake
Capco
Leidos
Booz Allen Hamilton
Accenture
Anthropic
Growth
Hiring Momentum
52/100
Stable
Open positions
7
2 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
09/06/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
20% ▼
Backend
20% ▼
Product
20% ▲
Enterprise Apps
20% ▼
Customer Success
20% ▲
Activity Timeline
Added Tableau to stack
Sep 2026
Added dbt to stack
Sep 2026
Added Apex to stack
Sep 2026
Added MuleSoft to stack
Sep 2026
Added Copilot to stack
Sep 2026
Added JavaScript to stack
Sep 2026
Added SQL to stack
Sep 2026
Added React.js to stack
Sep 2026
Added RAG to stack
Sep 2026
Added Go to stack
Sep 2026
Added GCP to stack
Sep 2026
Added C++ to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
3 open roles 2 posted in 90 days 67% engineering
hires for AI/ML, Product, Analytics
New York
United States
Engineering / R&D
1 open roles 1 posted in 90 days 100% engineering
hires for Backend
Jobs
Remote/Hybrid • Full-Time • 5+ years exp
AI Agents
Knowledge Graph
LLM Guardrails
Apply
≈ $174k – $313k per year (Estimated) • Remote/Hybrid • Full-Time • 5+ years exp • San Francisco
AI Agents
Edge AI
Knowledge Graph
LLM Guardrails
Together AI
Apply
≈ $146k – $262k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • New York
Java
Python
TypeScript
AI Agents
Knowledge Graph
LLM
LLM Guardrails
Model Context Protocol
Prompt Engineering
Apply
≈ $160k – $309k per year (Estimated) • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco
C++
Go
Java
Python
SQL
TypeScript
JavaScript
AI Agents
Knowledge Graph
LLM
LLM Guardrails
RAG
Frontend
React.js
DevOps
AWS
GCP
Apply
≈ $78k – $168k per year (Estimated) • Remote/Hybrid • Full-Time • 4+ years exp
Apex
MuleSoft
AI/ML
AI Agents
Copilot
Edge AI
Knowledge Graph
LLM Guardrails
Apply
≈ $105k – $212k per year (Estimated) • Remote/Hybrid • Full-Time • 5+ years exp • San Francisco
Python
SQL
AI Agents
dbt
Knowledge Graph
LLM Guardrails
Analytics
Tableau
Apply
Remote/Hybrid • Full-Time • 3+ years exp
AI Agents
Knowledge Graph
LLM Guardrails
Apply