A Sovereign AI Appliance for Patient Access, Care Coordination, and Revenue Cycle
A single NVIDIA DGX B300 appliance, deployed on-premises within a hospital or health-system facility, hosts 1000 concurrent voice AI agents across appointment scheduling, ED triage non-emergency lines, refill requests, pre-procedure preparation, post-discharge follow-up, prior-authorisation status, lab-result delivery, insurance eligibility verification, and 24/7 patient access. The appliance is federated with 260+ healthcare connectors including Epic, Oracle Health (Cerner), Meditech, athenahealth, Surescripts, FHIR R4, HL7, and 22 payer APIs.
Recruiting, onboarding, and performance-management overhead
Productivity profile correlates with calendar effects
1000 Voice AI Agents · NVIDIA DGX B300
$130,000 / month
36-month financing · maintenance + support included · or $4,000,000 outright
1000 concurrent voice agents · C-Level Capabilities on each
24 × 7 × 365 availability · no scheduled downtime
Zero attrition · no ramp · no hiring overhead
1000 parallel conversation streams · no call-queue formation
17 spoken + 23 written languages out of the box
30-day implementation from contract execution to first live agent
Single capital asset · 36-month Global Replacement Warranty
Customer-owned model weights · no metering · no token tariff
Full audit log per call · per prompt · per output
Year 4 onward: marginal cost approaches zero (capex amortised)
The monthly financial line item is identical. The operational capacity, the availability profile, and the consistency profile are materially different. SARAH AI Suite is positioned as an augmentation to existing teams; the workforce-equivalence comparison is provided for budget-comparison purposes.
1000
Concurrent voice agents
260+
Healthcare connectors
HIPAA
HITRUST CSF aligned
<50 ms
On-prem first-word
Why Now · Hospitals
Six structural forces moving every Hospitals CFO toward a sovereign on-premises AI box this fiscal year.
The nursing + clinical-staff shortage is structural
US registered-nurse vacancies are at multi-decade highs. Each non-clinical task (scheduling calls, refill triage, prior-auth follow-up) removed from the clinical floor returns minutes per shift to direct patient care. SARAH handles those non-clinical voice workflows in the patient's preferred language, 24/7.
Patient-access call abandonment is a revenue + reputation problem
Industry data: 25-40% of new-patient calls are abandoned at peak. Every abandoned call is a lost relationship plus a reputational signal. SARAH answers on the first ring, books the appointment, captures the insurance, sends the pre-visit instructions.
21st Century Cures Act + ONC Info Blocking are active enforcement
Patients have a statutory right to their electronic health information without delay. SARAH handles the records-request intake, triggers the release, captures the audit trail, satisfies the 8-business-day standard.
Prior-authorisation volumes have doubled in five years
Payers require prior authorisation on a growing list of services. Practice-staff time on prior-auth follow-up is the single largest non-billable labour line. SARAH calls the payer, navigates the IVR, captures the determination, files in the EHR.
Section 1557 + state laws mandate language access
Federal Section 1557 of the ACA, plus state language-access statutes, require qualified-interpreter availability. SARAH provides 17 spoken languages on the first ring at no incremental cost, with full documentation for the patient record.
CMS Star Ratings + HEDIS gaps are driven by patient outreach
Care-gap closure programmes (annual wellness visits, screening reminders, medication-adherence outreach) directly affect Star Ratings and value-based-care revenue. SARAH executes the outreach at scale with full audit log.
The ROI Math · Hospitals
Year-one P&L impact of replacing 10 human FTEs with 1000 SARAH voice agents on a single DGX B300 — concrete dollar figures, not theoretical. Numbers below are conservative midpoints; the upside scenario is materially larger.
166+ hospitals connectors ship live in the SARAH AI Suite. Every connector is owned by us — no third-party Zapier-style intermediary, no rate-limited Connect API, no per-call fee. Add yours during week 3 of onboarding at no incremental cost.
EHR / EMR platforms
22
Epic Hyperdrive · Oracle Health (Cerner) Millennium · Meditech Expanse · athenahealth · NextGen Healthcare · Allscripts (Veradigm) Sunrise · eClinicalWorks · Greenway Health · Practice Fusion · CareCloud · CPSI · Azalea Health · DrChrono · Kareo · ChartLogic · ModMed · HealthFusion · Centricity (formerly GE) · MEDITECH READY · VistA (VA) · MHS GENESIS (DoD) · Indian Health Service RPMS
A $3M appliance you actually own is the only AI deployment posture that survives a regulator's site visit. On-premises by default. Air-gappable. Audit log on every call. Every certificate yours, not the vendor's.
HIPAA
Privacy + Security + Breach
PHI encryption at rest with customer-owned keys. BAA executed at onboarding. Minimum-necessary access controls. Breach-notification runbook supplied. Sovereign deployment removes the cloud-LLM PHI exposure question.
HITRUST CSF
Healthcare Security Framework
Common Security Framework mappings supplied. Aligns to HITRUST v11 r2. Third-party HITRUST CSF Certification pathway supported within 90 days of deployment.
HITECH Act
Health IT Modernisation
Meaningful Use stage 3 + Promoting Interoperability (MIPS) measures supported. Audit log for ARRA EHR Incentive Programs aligned.
21st Century Cures Act + ONC Info Blocking
Information Sharing
Patient information requests handled in-channel within the 8-business-day standard. Information-blocking exceptions documented. USCDI v3 data classes mapped.
42 CFR Part 2
Substance Use Disorder Confidentiality
Substance-use disorder records segregation. Specific consent capture in voice channel. Re-disclosure prohibitions encoded.
Joint Commission + CMS CoP
Accreditation + Conditions of Participation
Documentation alignment for Joint Commission tracer methodology and CMS Conditions of Participation surveys. Patient-rights notice scripted.
Section 1557 (ACA)
Healthcare Non-Discrimination
17-language voice access on first ring. Qualified-interpreter documentation. Auxiliary-aids notice. Section 504 + ADA alignment.
PCI-DSS L1 + state med-records
Payment + State Privacy
PAN tokenisation at audio ingress. CA CMIA, NY SHIELD, TX HB 300 state-medical-privacy alignment.
SARAH AI Suite vs. Multi-Tenant Cloud AI · 5-Year Comparison
The principal alternatives in the market are multi-tenant cloud-AI services (OpenAI, Anthropic, Google) consumed via per-token or per-minute metering. The table below compares those services against a sovereign on-premises SARAH AI Suite deployment on NVIDIA DGX B300, at 1000 concurrent voice agents over a 5-year horizon.
Lever
Rented AI (OpenAI · Anthropic · Google)
SARAH AI Suite (DGX B300)
Cost per million tokens (text)
$15 - $30
$0 (capex paid)
Cost per voice minute (TTS+STT+LLM)
$0.10 - $0.30
$0 (capex paid)
First-word latency (voice)
400 - 1,200 ms (cloud round-trip)
<50 ms (on-premises LAN)
Data residency
Vendor decides (US / EU regions)
Your building · your jurisdiction
Sovereignty
Multi-tenant · subpoena-reachable
Single-tenant · physically yours
Vendor lock-in
Total — model weights you cannot move
Zero — you own the weights
Customisation of voice / persona / workflow
None or surface-only
Full — your runtime, your rules
Compliance certificates you can carry to a regulator
Their attestations (with carve-outs)
Your attestations · your audit trail
36-month TCO at 1000 concurrent voice agents · ~3M min/mo
$10.8M - $32M (token + voice + egress)
$4.68M (Enterprise tier · all-in)
Year 4 marginal cost (after financing)
Same monthly bill · indexed up
$0 capex · maintenance optional
Time from contract to live agents
3-12 months (security review · MSA · integration)
4 weeks (signature to 1000 live agents)
Privacy posture
"Trust the vendor's terms" · subject to change
Zero exfiltration possible · air-gappable
30-Day Implementation Schedule
From contract execution to 1000 live voice agents in 30 calendar days. The schedule below is the standard implementation timeline; complex multi-site deployments may extend to 45-60 days at the customer's discretion.
01
Week 1 · Sign + Site
Contract signed · install scheduled
Onboarding kickoff Day 1. Site survey (power, cooling, rack space, network) completed Day 4. Compliance + security paperwork issued Day 5. DGX B300 ships from Boston on Day 7.
02
Week 2 · Install
DGX B300 delivered + commissioned
Hardware on the floor Day 8. Power + liquid cooling + 2 × 200 Gbps WAN backhaul live Day 9. Voice + reasoning stack burned in Day 10-12. PEIPN tunnel up to Boston / Frankfurt / Sydney Day 14.
03
Week 3 · Connectors
Industry connectors mapped + tested
Your existing systems wired to SOPHIA Day 15-19. Voice cloned (optional) and persona tuned Day 16-18. End-to-end workflow rehearsals Day 19-21. Compliance audit log + recording config Day 21.
04
Week 4 · Go-Live
First 1000 agents take live calls
Soft go-live Day 22 with 100 agents on a single line. Scale to 1000 Day 25. Production traffic + 24/7 monitoring Day 26-30. Day 31: full operation, your team is the operator, our engineers are on-call.
NVIDIA DGX B300 · Compute Substrate
The compute layer is NVIDIA DGX B300 (Grace Blackwell Ultra). The SOPHIA reasoning stack, the SARAH voice + orchestrator runtime, and the 34,792,085-feature connector surface are proprietary intellectual property of IDESKS ONLINE AI. No third-party LLM, voice, or workflow vendor is in the dependency chain.
8 × NVIDIA B300 (Grace Blackwell Ultra)
Each B300 paired via 5th-gen NVLink at 130 TB/s aggregate. Liquid-cooled chassis. 10,000 TFLOPS FP16 / 2,000 TFLOPS FP8 / 1,400 TFLOPS FP4 per superchip. Designed for the workload that runs both a C-Level reasoning brain and 1000 parallel voice turns on the same box.
2,304 GB unified HBM3e memory
Enough headroom for SOPHIA C-Level Deep Thinker (235B-1T parameter rotation) running alongside the voice-turn LLM (8B / 30B-A3B) without paging or contention. All 1000 agents stay resident — no swap, no cold-start latency.
64 TB/s aggregate memory bandwidth
Roughly 16× a typical H100 server. Eliminates the bandwidth bottleneck that kills cloud-AI economics. Means SOPHIA can keep the full 11.74M feature surface "warm" while SARAH handles real-time voice turns at <50ms first-word latency.
2,700-2,800 W TDP · liquid-cooled chassis
Direct-to-chip liquid cooling included in the appliance — no separate cooling investment. Heat is removed at source. Acoustic profile suitable for a back-of-office server room, not just a tier-3 colo. Site prep is one electrician + one plumber visit.
~13 RU · standard 19" rack
Fits in your existing rack. Single PDU pair (208V or 400V 3-phase). Standard CRAC environment fine. We ship + install + commission. You provide the power, the network drop, and a locked door.
Built-in carrier-grade router
2 × 200 Gbps WAN backhaul · 16 × 100 Gbps LAN. Direct fibre or Megaport / Equinix Fabric. PEIPN (Private Enterprise IP Network) federates your SARAH endpoint with the global SARAH backbone, so multi-site customers get one logical AI.
On-Premises · Sub-50ms First-Word Latency
The appliance is co-located with the customer's voice infrastructure. Voice agents respond at LAN speed. No cloud round-trip, no jitter, no per-token tariff. Conversation latency is indistinguishable from a human operator.
36-Month Global Replacement Warranty
In the event of hardware or software failure, a replacement appliance is dispatched from the nearest staging depot (Boston, Frankfurt, Sydney, Singapore) within 48 hours. Maintenance and support are included for the full 36-month financing term.
Optional Hosted Deployment
On-premises is the default deployment posture. A hosted-dedicated option is available, with the customer's appliance located in our Boston, Frankfurt, or Sydney facility. The customer retains ownership of data, encryption keys, and control plane. Pricing and SLA are identical to on-premises.
Use Cases · Hospitals
Concrete workflows that go from kick-off call to live revenue inside the 30-day window. Each works the day SARAH is plugged in — your business logic, our brain + voice.
24/7 Appointment Scheduling + Pre-Visit Preparation — caller requests a new-patient or follow-up visit → SARAH retrieves the schedule from Epic / Oracle Health / athenahealth, presents options, books the slot, captures insurance, sends pre-visit instructions, files the consent forms in the chart.
ED Triage Non-Emergency Line — caller dials the ED non-emergency line → SARAH applies the institutional triage protocol, routes urgent calls to a clinical resource, books urgent-care or telehealth alternates for non-emergency cases.
Prescription Refill Triage — patient calls for a refill → SARAH verifies identity, checks the medication record in Surescripts / Cerner PharmNet / Epic Willow, sends the refill to the dispensing pharmacy, schedules the next-visit reminder.
Prior-Authorisation Follow-Up — practice staff dials a payer for prior-auth status → SARAH navigates the payer IVR, captures the determination, writes the result back to the EHR + clearinghouse, schedules the patient procedure.
Lab + Imaging Result Delivery — patient calls about a result → SARAH retrieves from the LIS / RIS, follows the clinician's release protocol (normal / requires call-back / specialist referral), delivers the result, schedules the follow-up.
Post-Discharge 48-Hour Follow-Up — discharged patient → SARAH places the post-discharge follow-up call, screens for red-flag symptoms, confirms medication-adherence, schedules the post-acute appointment, captures the patient-experience survey for HCAHPS.
Insurance Eligibility + Benefits Verification — patient calls about coverage → SARAH queries Availity / Waystar / Change Healthcare, gives the answer (deductible, copay, coinsurance, prior-auth required), explains the patient responsibility.
17-Language Patient Service · Section 1557 Compliant — Spanish · Mandarin · Vietnamese · Korean · Arabic · Tagalog · Russian · French · German · Italian · Portuguese · Hindi · Punjabi · Haitian Creole · Greek · Japanese · English on the first ring. Full interpreter documentation captured.
HEDIS + Star-Ratings Care-Gap Outreach — population-health system flags a gap (annual wellness visit, mammography, A1c, eye exam) → SARAH places the outreach call, schedules the visit, captures the patient consent, files the outreach in the EHR for HEDIS attribution.
Records-Request Intake under Cures Act — patient or attorney calls requesting records → SARAH intakes the request, verifies identity per the institution's HIM protocol, files the release-of-information request, starts the 8-business-day clock, sends confirmation.
Strategic Rationale
Eight institutional reasons enterprises are moving from rented, multi-tenant AI services to a sovereign, owned compute appliance.
Sovereign Compute · Owned Infrastructure
SARAH AI Suite is a capital asset, not a metered service. Per-token, per-GPU-second, and per-egress charges do not exist. One capital purchase services every conversation for the asset's economic life.
Proprietary Software Stack · No Third-Party Model Dependencies
The voice runtime, the reasoning stack, the orchestrator, and the connector layer are all owned IP. No third-party LLM API calls. No data leaves the appliance unless an egress rule explicitly permits it.
17 Spoken Languages · 23 Written Languages · 5.4B Population Reach
SARAH AI Suite ships with 17 spoken-language and 23 written-language coverage. International customers receive a native-language interaction on first contact.
30-Day Implementation Schedule
Hardware delivered, installed, commissioned, and operating within 30 days of contract execution. No multi-quarter procurement cycle. No professional-services overhead.
Sovereign Data Residency · Air-Gappable
Deployment is on-premises by default. Data does not cross jurisdictional boundaries without explicit configuration. Audit log captures every conversation, prompt, and output. Designed to satisfy regulator examination.
Continuous Availability · Predictable Throughput
1000 voice agents operating in parallel, 24 × 7 × 365. No staffing or retention dependency. No calendar-driven productivity variance.
Reasoning Brain · Voice Orchestrator · Two Roles, One Appliance
SOPHIA delivers C-Level reasoning over an 34,792,085-feature connector surface. SARAH delivers the voice channel and orchestrates business actions. Both roles operate on the same NVIDIA DGX B300 chassis.
The compute layer is NVIDIA DGX B300 (Grace Blackwell Ultra). The runtime, connectors, and workflow primitives above it are proprietary intellectual property of IDESKS ONLINE AI.
Additional Strategic Considerations
Sixteen further considerations that institutional buyers - boards, audit committees, CFOs, CIOs, CISOs, general counsel, chief risk officers - cite when authorising a SARAH Enterprise commitment on NVIDIA DGX B300.
AI Sovereignty Is Now a Board-Level Discussion
Audit committees and risk committees are asking which AI assets the enterprise owns and which are rented. Multi-tenant cloud LLMs cannot be owned. A NVIDIA DGX B300 appliance is a depreciable capital asset on the balance sheet, with full title.
Geopolitical Risk on Cloud LLMs Is Real
Cloud-AI providers are subject to executive-order data demands, sanctions regimes, and host-country export controls. A sovereign appliance located in the customer's jurisdiction removes that exposure entirely.
Cyber-Insurance Underwriting Now Favours Sovereign AI
Cyber-insurance carriers (AIG, Chubb, Beazley, Liberty Mutual) are increasingly underwriting deployments based on data-flow posture. Sovereign on-premises AI deployments attract more favourable premium and policy terms than third-party SaaS dependencies.
Regulator Examination Survives the Vendor Cycle
FFIEC, OCC, APRA, FCA, BaFin, MAS examination teams ask 'where is your data, who controls the model, and who has the encryption keys.' A sovereign appliance answers all three with the customer's own facilities, personnel, and KMS.
Negotiation Leverage Stays with the Customer
Owning the capital asset eliminates the quarterly price-increase letter from a cloud-AI provider. The 36-month financing is fixed; the appliance economics improve every year as utilisation grows.
No ML-Engineering Hiring Dependency
Recruiting AI / ML / MLOps engineers in 2026 is an 18-month problem and a $400k-per-FTE problem. A sovereign appliance delivered with our operations team eliminates the dependency. Customers run business operations, not AI plumbing.
Predictable Capital Expenditure vs. Unpredictable Operating Tariff
Cloud-AI consumption charges are inherently unpredictable - prompt complexity, output length, voice minutes, agent count, region egress. A capital purchase is one number on the balance sheet, fully amortised over 36 months.
Recordings, Transcripts, and Audit Logs Remain Customer Property
Conversational data is the second-most-valuable asset most enterprises own (after customer relationships themselves). A sovereign appliance ensures full perpetual ownership. The data trains future internal models on customer terms.
Operational Resilience Across Cloud-Vendor Outages
AWS, Azure, and GCP each experienced multi-hour regional outages during 2024-2025 that took down dependent AI services. An on-premises appliance is decoupled from cloud-vendor SLA breaches.
Voice Intellectual Property Becomes a Brand Asset
A custom-tuned voice persona, trained on the customer's brand voice and operational vocabulary, is a brand asset with permanent residual value. Cloud-AI voice products cannot be owned.
Customer-Specific Tuning Without Data Egress
Fine-tuning, RAG indexing, and continual learning operate entirely within the appliance. Customer data never leaves the premises to train an external model. The improvement compounds inside the customer's own asset.
Future-Proof Hardware Investment
NVIDIA DGX B300 (Grace Blackwell Ultra) is the current flagship platform with a 5-7 year hardware-economic life. Software updates and model rotations are delivered to the appliance over the 36-month financing term.
Mission-Readiness for 24 × 7 × 365 Critical Services
Banks, hospitals, airlines, public-safety agencies, and disaster-response operations require continuous availability. An on-premises appliance with a 36-month Global Replacement Warranty meets that requirement; rented cloud-AI does not.
Acquisition + Divestiture Readiness
In an M&A transaction, a depreciable capital asset transfers with title to the acquirer. A cloud-AI subscription requires re-negotiation, security review, and contract assignment - frequently the source of deal delays.
Energy + Carbon Accounting Is Predictable
An on-premises NVIDIA DGX B300 has a measured 2,700-2,800 W TDP. Carbon accounting is deterministic per kWh. Cloud-AI carbon attribution remains opaque and variable by region and time-of-day.
SARAH AI Suite Is Sold Once. The Box Keeps Working.
After the 36-month financing term, the appliance is fully amortised. The customer continues to operate it for the remainder of its 5-7 year economic life with marginal incremental cost. Cloud-AI subscriptions continue to bill indefinitely at the same or rising rate.
Frequently Asked Questions
Common questions raised during evaluation by CIO, CFO, CISO, general counsel, and chief risk officer teams. Five industry-specific and ten common, answered with the same level of detail provided in our standard discovery-call follow-up package.
How does SARAH satisfy HIPAA and HITRUST?
PHI never leaves the on-premises appliance unless an explicit egress rule permits it. The customer holds the encryption keys (HSM or cloud KMS at the customer's discretion). A BAA is executed at onboarding. The platform aligns to HITRUST CSF v11 r2; third-party HITRUST CSF Certification is supported within 90 days of deployment. Sovereign deployment eliminates the multi-tenant LLM PHI exposure question that has blocked production-AI roll-out at most US health systems.
How does SARAH integrate with Epic, Oracle Health (Cerner), and Meditech?
Native FHIR R4 + HL7 v2 + CCDA connectors plus vendor-specific orchestration shims. Appointment scheduling, problem-list retrieval, medication reconciliation, allergy verification, order placement, results retrieval, and patient demographic updates are all available in the voice channel. The connector library covers 22 EHRs and is extended at no incremental cost during week 3 of onboarding.
What about Section 1557 language access and Section 504 / ADA?
SARAH provides 17 spoken languages and 23 written languages on the first ring at no incremental cost. Qualified-interpreter documentation is auto-captured in the patient record per Section 1557 requirements. TTY, TTD, and relay-service support meet Section 504 + ADA. Sign-language video escalation flows to your existing video-relay-service partner.
How does SARAH handle prior authorisation?
SARAH places outbound prior-auth follow-up calls to the payer, navigates payer IVRs, identifies as a covered-entity representative, captures the determination, posts the result back to the EHR and the clearinghouse (Availity / Waystar / Change Healthcare), and schedules the patient procedure when authorisation is approved. Reduces practice-staff prior-auth labour by approximately 40% in the first 6 months.
Does SARAH handle the 21st Century Cures Act + ONC Info Blocking?
Yes. Patient information requests intake on the voice channel, identity verification per the institution's HIM protocol, release-of-information workflow trigger, 8-business-day clock, and audit-log generation. Information-blocking exception documentation is supplied for any flagged hold. USCDI v3 data classes are mapped.
How is this different from OpenAI, Anthropic Claude, or Google Gemini?
Those products are rented multi-tenant LLMs. Your prompts, your customer transcripts, your business logic all run on infrastructure you do not own, in jurisdictions the vendor picks, with metering you cannot turn off. SARAH AI Suite runs on a NVIDIA DGX B300 in your building, with our own SOPHIA brain (34,792,085 features) and SARAH voice runtime — no third-party API calls, no per-token bills, no data crossing borders without your sign-off. Same Grace Blackwell silicon, fundamentally different commercial and legal posture.
What happens to my data?
Nothing leaves the box without an explicit egress rule you control. Recordings, transcripts, prompt logs, audit trails — all stored on encrypted volumes in your facility (or in our dedicated colo if you choose hosted). No co-mingling with other customers. No vendor employee can see your data. Subpoena reachability is yours, not ours. This is the architecture that lets regulated industries — banking, healthcare, government — actually deploy production AI.
What does the price actually include?
$130,000/month financed × 36 months ($4.68M total) — or $4,000,000 outright — covers: NVIDIA DGX B300 hardware (delivered + installed + commissioned), the full SOPHIA + SARAH software stack with 34,792,085 features unlocked, 1000 concurrent voice AI agents with C-Level Capabilities, the full 34,792,085-feature connector surface, the 36-month Global Replacement Warranty (48-hour swap from the nearest depot), maintenance + support, and onboarding for your engineering team. No per-agent fee. No per-token fee. No professional-services tax.
What if we need more than 1000 agents?
Two paths. (1) Add another DGX B300 — stacks linearly to 8,000 agents on 8 boxes, federated via PEIPN. (2) SARAH Hyperscale Appliance — NVL72 rack, 30,000 concurrent agents, $30M upfront + $3M/yr. Most $4M Enterprise customers grow into a second box within 18 months once the voice channel is producing measurable revenue. We finance both.
What if the appliance fails?
36-month Global Replacement Warranty. We ship a replacement DGX B300 from the nearest staging depot — Boston, Frankfurt, Sydney, Singapore — within 48 hours. While we are in transit, your traffic fails over to our hosted dedicated DGX B300 in the same region (included). You never lose a call.
Do we need NVIDIA or AI expertise on staff?
No. Our engineering team installs, commissions, and operates the appliance for the first 90 days. By Day 90 your operations team owns day-to-day, with our on-call 24/7. The whole point of selling a sovereign appliance is to remove the AI-engineering hiring problem from your roadmap.
Can we keep using our existing systems?
Yes — that is exactly what the 34,792,085-feature connector surface is for. SARAH does not replace your CRM, your reservation system, your billing platform, your PMS — it orchestrates them, on a voice channel that is on the phone in 30 days. The 34,792,085 Live Features, Connectors & APIs mean we land on top of what you already have, not under it.
What is the SLA?
99.95% on the hardware. 99.99% if you take the hosted-dedicated tier in our colo. Voice-turn latency <50 ms p95 on-premises. Our engineers carry a pager for every customer for the full 36 months of the financing term.
What happens after the 36 months of financing?
The box is paid off. You own it outright. Year 4 onwards, your AI marginal cost is essentially zero — only optional maintenance + the electricity bill. This is why the TCO comparison kills cloud AI: rented AI keeps charging the same monthly bill at Year 4, Year 5, Year 10. The DGX B300 keeps working for free.
Can we customize the voice and the persona?
Yes. Voice cloning (optional · 30-minute reference recording) · persona tuning to your brand voice · conversation flow templates per use case · escalation rules per workflow. The whole runtime is yours — we provide the template; you provide the brand.
Ready to retire your hospitals SaaS stack and run one sovereign AI box?
60-minute discovery call · technical deep-dive · SOPHIA comes with 34,792,085 Live Enterprise Features, Connectors & APIs.