One Sovereign AI Box for Every Branch, Every Account, Every Call
Retire the rented-AI risk in your tier-1 / tier-2 / community-bank stack. One NVIDIA DGX B300 on-premises in your data center hosts 1000 concurrent voice AI agents — running fraud calls, dispute resolution, loan applications, KYC interviews, complaint capture, and 24/7 customer service — federated with 320+ US banking, payments, KYC/AML, and fraud connectors live in the SARAH AI Suite.
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
320+
US banking connectors
On-Prem
FFIEC + GLBA + SOX ready
<50 ms
On-prem first-word
Why Now · US Banks
Six structural forces moving every US Banks CFO toward a sovereign on-premises AI box this fiscal year.
Branch traffic is collapsing — voice is the new branch
US bank branch visits dropped 30% since 2019. The customer who used to walk in now calls. If they wait 4 minutes, the deposit goes to Chime or Cash App. 1000 SARAH agents answer every call in under 400ms, in 17 spoken languages, on the first ring.
Compliance is now an AI-deployment blocker
OCC, CFPB, and FFIEC are increasingly explicit: rented LLMs that ship your customer transcripts to a multi-tenant US-East data centre violate GLBA and your own data-residency promises. A sovereign on-premises AI box is the only deployment posture that survives the next exam.
Fraud + dispute costs are eating non-interest income
Issuers absorbed $32B in card fraud + $5.8B in dispute-handling cost in 2024 (Nilson). SARAH handles dispute intake in a 4-minute call, files the chargeback packet, opens the Reg E case, and tracks the 10-business-day clock — without a human touching it.
Wells, JPM, and BofA are deploying agentic AI · the gap widens monthly
Tier-1s are spending $1-3B/year on internal agentic-AI builds. Community + regional banks cannot match that engineering hire. A $3M sovereign appliance from us closes the gap in 30 days.
Workforce: branch employees are 40% turnover · contact-center is 60%
Hiring + training + retention is a fully-loaded $48-65K/FTE problem. 1000 SARAH voice agents at $130K/mo total is the cost of 2 senior bankers — and they never quit, never sleep, never have a bad day.
Open banking + FedNow + 1033 demand programmable, audit-perfect customer service
Same-day disputes, RTP push-to-debit, FDX + CFPB 1033 data-sharing flows — none of these tolerate a 4-minute hold time or a contact-center agent reading a SOP. SARAH closes the loop in seconds with a full audit log.
The ROI Math · US Banks
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.
174+ us banks 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.
Core banking platforms (US)
22
FIS Profile · Fiserv DNA · Fiserv Premier · Jack Henry SilverLake · Jack Henry CIF 20/20 · Symitar Episys · COCC INSIGHT · CSI NuPoint · D+H Mortgagebot · Temenos T24 US · TCS BaNCS · Finastra Phoenix EFE · IBS Software · OSI · KeyStone · Spectrum K2 · Banno · Q2 Catalyst · NCR DI · Diebold Nixdorf · Open Solutions · Computer Services Inc
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.
FFIEC
FFIEC IT Examination
Sovereign on-premises deployment satisfies the FFIEC handbook's data-residency, audit, and concentration-risk guidance. No multi-tenant model dependency to disclose to the OCC examiner.
GLBA
Gramm-Leach-Bliley Act
Customer NPI never leaves the box. Privacy Notice and Safeguards Rule both deliverable because you own the data, not the AI vendor.
BSA / AML
Bank Secrecy Act
Full audit log on every call · SAR filings auto-drafted from voice transcripts · OFAC screening on every customer contact. Plug into your existing case management.
Reg E
Electronic Fund Transfer
10-business-day timer started automatically when a dispute call comes in. Provisional credit decisioning rules encoded. Audit trail to the customer.
SOX
Sarbanes-Oxley
All changes to SARAH workflows pass through your existing SOX change-control. Internal audit can replay every conversation against compliance assertions.
CFPB 1033
Open Banking Rule
FDX-aligned consumer data sharing. SARAH handles consent calls and revocation requests in-channel with full audit.
PCI-DSS L1
Payment Card Industry
Card numbers never spoken aloud or stored. Pause-resume recording. Tokenisation on every PAN. Quarterly ASV scans passed.
CCPA / NYDFS 500
State privacy + cyber
Air-gappable. Encryption at rest with customer-owned keys. NYDFS 500 cybersecurity programme deliverables ship with the appliance.
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 · US Banks
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 Fraud Alert Confirmation — card-network fraud alert hits the system → SARAH calls the cardholder in their preferred language, confirms or denies the transaction, blocks/unblocks the card, files the dispute if confirmed fraud — closed in under 4 minutes with full audit log.
Dispute Intake + Reg E Clock — customer calls about an unauthorised charge → SARAH captures the dispute in the bank's voice, files the Reg E case, starts the 10-business-day clock, dispatches provisional credit if eligible, books the follow-up call.
Lost / Stolen Card Replacement — caller reports lost card → SARAH authenticates, freezes the card, expedites the replacement to the address on file, offers the digital wallet card now, books an in-branch identity verification if required.
KYC + CDD Interview Capture — new commercial-banking onboarding call → SARAH conducts the CDD interview in the customer's language, captures the source-of-funds narrative, flags PEPs / sanctions hits, packages everything for the BSA officer.
Loan Application Pre-Qualification — caller asks about a mortgage / auto / small-business loan → SARAH walks through the pre-qual, pulls credit (with consent), runs DTI / LTV math, hands off to a human officer for the final consult — already pre-decisioned.
Treasury Management Service Calls — commercial client calls about a wire that did not arrive → SARAH pulls the Fedwire / SWIFT trace, gives the status, escalates to the wire room only if needed, sends the proof of payment via email.
Branch Outage / Overflow Handler — branch phones overloaded → calls overflow to SARAH automatically, who handles 100% of common requests (balance, recent transactions, mobile app help) and routes only the genuinely escalated calls.
Outbound Collections (TCPA-clean) — past-due account → SARAH places the TCPA-compliant outbound call, identifies itself as a debt collector, captures Promise-To-Pay, books a follow-up, suppresses the contact if the customer requests stop.
Wealth / Trust Officer After-Hours Concierge — high-net-worth customer calls after 5pm → SARAH provides position, performance, last-statement, books a Monday morning call with the wealth officer, can place a basic equity trade with confirmation.
Spanish + Mandarin + Vietnamese + Tagalog 24/7 — same SARAH brain answers in the caller's preferred language with full equivalence. Branches no longer need a bilingual hire for every shift.
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.
Will the OCC, FFIEC, or our state regulator approve this?
Yes — and the architecture is specifically designed for that. Because the appliance is on-premises in your facility, the customer NPI never leaves your perimeter. The audit log is yours. The model weights are yours. The encryption keys are yours. We supply the FFIEC IT Examination checklist responses, the SOC 2 Type II, the SOC 3, and the third-party-risk-management questionnaire pre-completed for your TPRM team. Most banks complete regulator notification + green-light in the same 30-day window as the install.
How does SARAH handle Reg E disputes specifically?
Dispute call comes in → SARAH captures the unauthorised-transaction narrative in the customer's own words → opens the Reg E case in your dispute system (Quavo / Pega / Verafin / native) → starts the 10-business-day timer → makes the provisional credit decision per your bank's policy → schedules the resolution call → files the chargeback packet via your card-network connector. Every step is logged. Every prompt and every output is replayable.
What happens with PCI-sensitive data — PANs, CVVs?
PANs are tokenised at the moment they enter the audio stream. SARAH never speaks a PAN aloud and never persists one. Recording is auto-paused during card-capture moments. Storage is encrypted with your KMS keys. We pass PCI-DSS Level 1 with a QSA on the deployment.
Can SARAH place outbound calls without violating TCPA?
Yes — SARAH carries a TCPA-compliance ruleset (ATDS consent · prerecorded-message consent · revocation honoured · DNC scrubbing · time-of-day windows per state). The voice greeting identifies SARAH as an AI on the first turn if the caller asks, and discloses recording. Built to satisfy the FCC 2024 ruling and the various state-AG attestation letters.
How does SARAH integrate with FedNow and RTP?
SARAH speaks FedNow ISO 20022 and TCH RTP natively as orchestrator. Voice-initiated push payments, status traces, and dispute reversals all flow through SARAH on the same call. PSO / Sender / Receiver indicators handled. Beneficiary verification handled. Same for Same-Day ACH, Visa Direct, and Mastercard Send.
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 us banks 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.