Built for accuracy
Built for healthcare integrity
Every patient interaction follows explicit, auditable logic, verified against your systems of record, reproducible at scale, and safe to deploy where other AI products are not.
No fabricated clinical or coverage information
APT pulls benefits, eligibility, and plan data directly from your systems — not probabilistic generation.
Policy and compliance conditions enforced
Care routing, prior authorizations, and billing interactions only proceed when explicit conditions are met.
No unverified confirmations
Patients receive appointment confirmations, coverage answers, and prescription details only after live system verification.
Where generic AI fails
General LLMs break in healthcare CX
Probabilistic models generate plausible answers, not clinically or legally accurate ones. The result: hallucinations that create liability, regulatory exposure, and patient harm that organizations can't defend.
Fabricated health information is a patient safety risk
In healthcare, a hallucinated drug interaction, incorrect benefit, or fabricated eligibility decision isn't a bad user experience — it's a HIPAA exposure and a threat to patient safety.ty.
"Mostly accurate" violates regulatory standards
LLM wrappers built on general-purpose models cannot guarantee identical outputs for identical inputs — the foundational requirement for defensible AI in a regulated healthcare environment.
Unverified confirmations create real-world harm
Telling patients an appointment is confirmed, a prescription is ready, or a claim is approved before verifying it creates clinical, legal, and operational exposure at every interaction.
Scale turns small error rates into systemic events
At healthcare scale, a 1% hallucination rate means thousands of patients receiving inaccurate information about their care, coverage, or medications every day.
Deployment models
Your data. Your AI. Your control.
Deploy Super-Reliable CX agents in your environment — VPC, on-prem, or managed — whether you operate a single health system, a payor network, or a digital health platform.
Modernize member and patient CX without outsourcing control
Deploy deterministic intelligence aligned to your formulary, benefits structure, compliance requirements, and risk posture — inside your environment.
No third-party data exposure
Deploy in VPC or on-prem to meet HIPAA data residency and privacy requirements.
Behavior you can defend
Every response and action is deterministic and versioned, so legal, compliance, and clinical teams can defend outcomes under regulatory review.
No surprise behavior in production
Model behavior is versioned and evaluated before release, so updates don't introduce unreviewed risk to patient interactions.
License the intelligence layer and deploy it across your client portfolio
Under your brand, in your environment, with strict separation between clients.
Multi-client isolation by design
Enforce strict separation of data, policies, and behavior per client. No leakage, no drift, no shared-tenant risk.
Economics that enable growth
Predictable, per-conversation costs without stacked retries or supervision loops.
White-label Foundation
Deliver AI under your brand without becoming a reseller of someone else's stack.
Common Questions
Clarity first,
no surprises later
How do you guarantee compliance when regulations vary by state, plan type, and product?
Declarative rules are enforced at decoding time by the model architecture — not as prompt suggestions that can be reasoned around. Policies that vary by state, plan, or formulary instantiate dynamically from API responses, so one system adapts rather than maintaining thousands of prompt variants.
Can the agent deliver legally required disclosures verbatim?
Yes. APT's response template pattern bypasses token-by-token generation entirely, delivering exact pre-approved language every time. This is a hard guarantee, not a probabilistic one — the kind healthcare organizations need for disclosures, coverage summaries, and prior auth language.
How does the agent protect patient data and verify identity before sharing PHI?
An auth token from your existing authentication flow is carried through the conversation. Function calls are tied to the verified patient, and the model cannot generate a token on its own. Sensitive fields can be stripped from API responses before the model ever sees them.
Our InfoSec and HIPAA review cycle takes most of a year. How do other regulated organizations move faster?
Self-hosted deployment removes the primary blocker. APT runs in your own VPC so no data crosses a network boundary and open-internet data concerns don't apply. We also embed an engineer alongside your security team to absorb review work directly.
Model + platform for travel CX
An intelligence stack the healthcare industry can actually trust
Purpose-built intelligence for travel, handling bookings, rebookings, fare adjustments, and disruptions with deterministic accuracy.
CX intelligence patients can rely on
APT is the only deterministic model purpose-built for healthcare CX, delivering verified answers and completed requests without hallucinations, fabricated clinical data, or policy drift.
Build healthcare agents on your terms
Design, test, and deploy agents integrated with your EHR, benefits platforms, and compliance policies, with full control over behavior, guardrails, and roadmap.
TRAVEL CX IN ACTION
Reliable interactions on a global scale
Your plan covers three specialist visits per year. You've used one. Would you like help finding an in-network provider?
Benefits answers members can act on
Coverage details are pulled directly from your plan data, so members get accurate, specific answers — not generic guidance — and can take the next step right away.
Your appointment with Dr. Patel is confirmed for Thursday at 2 PM. I've sent a reminder to the number on file.
Scheduling that closes the loop
Appointments are confirmed only after live verification against your scheduling system. Patients leave the interaction with certainty, not a promise to follow up.
Your claim for the March 12th visit is under review. Expected resolution is within five business days.
Claim status without the hold music
Real-time claim data means patients get a precise, verifiable update every time they ask — no transferred calls, no estimated guesses, no callbacks.
Once you confirm the last four digits of your member ID, I'll pull up your current coverage details.
Verified identity before every sensitive interaction
PHI is only surfaced after identity is confirmed against your system of record. Every step is auditable, and the agent can never fabricate or retrieve data it hasn't been authorized to access.
research-driven authority
Proof behind the platform
We treat AI as a science, not a slogan. Explore our latest model research, enterprise case studies, and deep dives into deterministic architecture and governance.
