/ Healthcare

Healthcare

Compliant care, out of the box.

HIPAA-compliant patient management, electronic health records, appointment scheduling, and billing — built for clinics, hospitals, and telehealth providers who need security without complexity.

/ Live demos for Healthcare

See what we've built.

Healthcare OS

Healthcare OS is a unified platform for clinics that brings scheduling, patient records, billing, and care coordination into one workflow. Built with HIPAA-grade auditability and a patient experience that feels modern, not clinical.

Details
https://healthcare-os.theinternetcompany.tech
Open demo

NEXUS AI

NEXUS AI is a unified operations cockpit that brings model monitoring, prompt management, and agent orchestration under one roof. Built for teams shipping AI features into production who need visibility into cost, latency, and quality across every model they run.

Details
https://nexus-ai.theinternetcompany.tech
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Doc Vault

A document management platform with version control, e-signature workflows, and full audit trails. Built for organizations that need secure, compliant document handling with a modern user experience.

Details
https://doc-vault.theinternetcompany.tech
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Aegis AI

Aegis AI is a security posture management platform that uses AI to surface threats, prioritize vulnerabilities, and recommend remediations before they're exploited. Built for security teams who need to stay ahead of an evolving threat landscape.

Details
https://aegis-ai.theinternetcompany.tech
Open demo

Cortex

Cortex is an internal knowledge and intelligence platform that ingests documents, conversations, and data sources, then surfaces answers and insights through a single searchable interface. Designed for organizations that need a shared brain across teams.

Details
https://cortex.theinternetcompany.tech
Open demo
/ Challenges we solve

The problems we fix.

01HIPAA compliance and patient data security requirements
02Fragmented patient records across departments and systems
03Appointment scheduling inefficiencies and no-shows
04Insurance claim processing and revenue cycle management
/ What you get

Features built in.

HIPAA-compliant EHR with role-based access control
Patient portal with appointment booking and telehealth integration
Automated insurance claim generation and tracking
E-prescribing with drug interaction checking
Audit trails for every patient record access
HL7/FHIR integration with existing hospital systems
/ Target outcomes

What you could see.

-38%
Patient wait time
+19%
Claim approval rate
-27%
No-show rate
-52%
Chart completion time
/ Illustrative case studies

How it could pay off.

01
Case study · MedCare Health
MedCare Health — MedCare Health reduced patient wait times by 38% and lifted revenue per visit with a HIPAA-compliant clinic platform

MedCare Health reduced patient wait times by 38% and lifted revenue per visit with a HIPAA-compliant clinic platform

A 12-clinic network replaced paper intake and a 2018 scheduling system with a custom healthcare OS — digitizing intake, scheduling, and records in one HIPAA-compliant environment that paid for itself in reduced no-shows alone.

/ The challenge

MedCare's 12 clinics were running on paper intake forms and a scheduling system from 2018. Patients waited 45 minutes on average, no-show rates sat at 22%, and HIPAA compliance was a manual nightmare tracked in spreadsheets. Front-desk staff spent 40% of their day on paperwork instead of patients, and the billing team was writing off $90K a quarter in claims that timed out or got rejected for missing documentation.

/ What we built

We deployed our Healthcare OS platform with a patient portal, automated SMS appointment reminders, integrated telehealth, and a HIPAA-compliant EHR with audit trails on every record access. Digital check-in collapsed intake from 12 minutes to under 2, and claims are now generated automatically from the encounter note.

-38%
Patient wait time
-27%
No-show rate
-52%
Chart completion time
-$360K/yr
Claims write-off
3.2 → 4.8★
Patient satisfaction
The platform paid for itself in reduced no-shows alone. But the real win is patient satisfaction — we went from 3.2 to 4.8 stars in six months, and our claims write-off dropped by over $360K a year.
Dr. James Patel
Medical Director, MedCare Health
02
Case study · VitalCare Diagnostics
VitalCare Diagnostics — VitalCare Diagnostics lifted radiologist throughput 32% with an AI clinical decision-support platform

VitalCare Diagnostics lifted radiologist throughput 32% with an AI clinical decision-support platform

A diagnostic imaging network was losing radiologists to burnout and turning away referrals it couldn't read in time. An AI knowledge platform that surfaces and prioritizes findings cut turnaround time and unlocked $2.1M in new referral capacity.

/ The challenge

VitalCare's 9 imaging centers were running 24/7 but radiologists couldn't keep up. Average turnaround time for non-urgent studies hit 11 hours, referring physicians were pulling contracts, and two senior radiologists quit citing burnout. An estimated 6% of critical findings were going unread for over 24 hours — a patient-safety and liability risk the board could no longer ignore.

/ What we built

We built a clinical decision-support platform on our Cortex knowledge engine that ingests imaging study metadata, runs AI triage to flag and rank likely critical findings, and queues them to the right radiologist with citation-backed context. Worklists now self-prioritize, and the AI surfaces prior reports and relevant history so reads start faster.

-45%
Diagnostic turnaround
+32%
Radiologist throughput
-68%
Critical findings missed
+$2.1M/yr
New referral capacity
5 months
Payback period
We were about to lose two more hospital contracts over turnaround time. The AI triage didn't replace our radiologists — it made them faster and made sure nothing critical sat unread. We took on $2.1M in new referrals without hiring.
Dr. Priya Raman
Chief of Radiology, VitalCare Diagnostics
03
Case study · LifeLine Health Network
LifeLine Health Network — LifeLine Health Network cut chart retrieval time 73% and saved $1.8M a year with a unified medical records platform

LifeLine Health Network cut chart retrieval time 73% and saved $1.8M a year with a unified medical records platform

A 4-hospital network scattered records across paper, shared drives, and three legacy systems — every audit was a fire drill and every release-of-information request took days. A HIPAA-compliant document platform with e-signature and audit trails fixed it in 8 weeks.

/ The challenge

LifeLine's 4 hospitals and 22 outpatient sites stored records across paper charts, three legacy EHR modules, and a network shared drive nobody trusted. Chart retrieval for a single patient averaged 3 days, release-of-information requests were backed up 6 weeks, and the compliance team spent 4 months a year preparing for audits. Paper and printing alone cost $1.9M a year, and consent forms went missing in 1 of every 7 admissions.

/ What we built

We deployed our Doc Vault platform with OCR-based ingestion that pulled records from all three legacy systems into one HIPAA-compliant library, e-signature workflows for consents and release-of-information, granular role-based access, and full audit trails on every view and edit. Retention policies now run automatically and audit packets generate in minutes.

-73%
Chart retrieval time
-81%
Audit prep time
-$1.7M/yr
Paper & printing cost
+44%
Consent completion
$1.8M
Annual admin savings
Our last audit before this was four months of people sleeping at the office. The first audit after go-live, the packet generated in 20 minutes and we had zero findings. The paper savings alone paid for the platform.
Carla Whitman
Chief Compliance Officer, LifeLine Health Network
04
Case study · PrimeHealth Telemedicine
PrimeHealth Telemedicine — PrimeHealth Telemedicine filled its calendar 24/7 and added $340K per clinician with self-serve booking

PrimeHealth Telemedicine filled its calendar 24/7 and added $340K per clinician with self-serve booking

A telemedicine startup was leaving 31% of clinician slots empty and losing patients to no-shows. A self-serve booking engine with automated reminders and telehealth hand-off lifted utilization and turned after-hours demand into revenue.

/ The challenge

PrimeHealth's 18 clinicians had open slots 31% of the time, and no-shows were eating another 19% of booked appointments. Patients had to call during business hours to book, so after-hours demand — PrimeHealth's biggest differentiator — went to competitors. Front-desk staff spent 25 hours a week on the phone scheduling, and there was no telehealth hand-off, so virtual visits required a separate tool clinicians hated.

/ What we built

We deployed our Booking & Reservation Engine branded to PrimeHealth, with real-time availability across all clinicians, online payments and deposits, automated SMS/email reminders, and a no-show and cancellation handling flow that auto-releases slots back to the pool. Bookings confirm straight into an integrated telehealth session — one link, no second tool.

-41%
No-show rate
+58%
Booking conversion
+27%
Clinician utilization
31% of volume
After-hours bookings
+$340K/yr
Revenue per clinician
We built the company to capture after-hours demand, then made patients call us between 9 and 5 to book. Self-serve booking fixed the obvious bug in our own business. The $340K per clinician is real — we measured it clinician by clinician.
Sofia Alvarez
CEO, PrimeHealth Telemedicine
05
Case study · CarePlus Medical Group
CarePlus Medical Group — CarePlus Medical Group avoided a $2.6M breach and cut cyber insurance premiums 23% with AI security posture management

CarePlus Medical Group avoided a $2.6M breach and cut cyber insurance premiums 23% with AI security posture management

A multi-state medical group found 1,400 unpatched vulnerabilities after a near-breach. An AI security posture platform prioritized and auto-remediated the real risks, passed the next HIPAA audit clean, and lowered insurance premiums.

/ The challenge

CarePlus's 31 clinics across 6 states ran a patchwork of medical devices, EHR terminals, and cloud apps. After a phishing attack got one step from exfiltrating 40,000 patient records, an external pentest surfaced 1,400 unpatched vulnerabilities — and no way to tell which ones actually mattered. The security team was two people, cyber insurance was threatening to double the premium, and a HIPAA audit was 90 days out.

/ What we built

We deployed our Aegis AI security posture platform with continuous threat-surface mapping, AI-driven vulnerability prioritization that scores risk against CarePlus's actual environment, and automated remediation guidance. The two-person security team now works a prioritized queue instead of a 1,400-line spreadsheet, and compliance reporting generates on demand.

+312%
Vulnerabilities remediated
-64%
Mean time to remediate
-78%
Audit findings
-23%
Cyber insurance premium
$2.6M
Breach cost avoided
We came within one click of a breach that would have ended us. Aegis didn't just hand us a list — it told us which 40 of the 1,400 actually mattered and how to fix them. We passed the audit with two findings, and our insurer dropped our premium instead of doubling it.
Marcus Feldman
CISO, CarePlus Medical Group
/ Solutions for Healthcare

Ready to try them?

05

Document Management (DMS)

Find any document in seconds, securely.

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11

Booking & Reservation Systems

Let customers book themselves in.

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15

Hospital & Clinic Management (HMS)

Patient care, compliant and connected.

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19

AI & Machine Learning

Models that do real work, not just demos.

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24

Cybersecurity

Defend the business, not just the perimeter.

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29

HealthTech

Digital health, secure and human.

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