AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
A healthcare AI platform supporting 44% of the Fortune 50 that has automated over 100 million minutes of insurance verification calls.
The team aimed to move from automating calls to avoiding them entirely by reusing data, but their PostgreSQL database choked on complex, nested...
“The value is the information, not the communication. If we have already verified that a specific plan in California covers a specific treatment for ten previous patients, why do we need to call the insurance company for the eleventh patient? We should just know.”
Voice AI platform for automating clinical and administrative healthcare calls.
Graph database and analytics platform for enterprise data relationships.
Infinitus's Insurance verification is part of this use case:
Related implementations across industries and use cases
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
A healthcare AI platform supporting 44% of the Fortune 50 that has automated over 100 million minutes of insurance verification calls.
The team aimed to move from automating calls to avoiding them entirely by reusing data, but their PostgreSQL database choked on complex, nested...
“The value is the information, not the communication. If we have already verified that a specific plan in California covers a specific treatment for ten previous patients, why do we need to call the insurance company for the eleventh patient? We should just know.”
Voice AI platform for automating clinical and administrative healthcare calls.
Graph database and analytics platform for enterprise data relationships.
Infinitus's Insurance verification is part of this use case:
Related implementations across industries and use cases
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.