One auth layer. One billing relationship. One tenancy model. One dispatchable tool-call surface across voice, twenty-four native business modules, and 34,792,085 Live enterprise features, connectors and APIs — all bound together by a sovereign private layer-three fabric. Membership in Sophia is the onboarding.
34,792,085
Live features, connectors & APIs
1,512,660
Connector categories on the fabric
24
Native business modules
4
API layers · voice · dispatch · connector · intelligence
17
Spoken languages · 23 written
3
Continents on the live WireGuard mesh
Zero
Cloud-LLM dependencies in the path
Zero
Borrowed code in the platform
The Thesis
What is being built is one API that does it all. Behind a single consistent call surface lives the entire operational substrate of a modern business: voice (real-time PSTN telephony, predictive dialling, recording, transcription, synthesis), the full library of native business modules (CRM, support ticketing, booking, invoicing, courses, workflow automation, content production, field sales, workforce wellness, finance, infrastructure observability, data warehousing, security and compliance — twenty-four such modules and growing), and a connector library that absorbs every meaningful third-party SaaS and API on Earth.
The intent is not to be a portal that integrates with these things. The intent is to be these things, expressed through one auth-billing-observability layer, one set of dispatchable tool calls, one tenancy model. The network that carries this API — that binds every host, every customer site, every GPU pool, every appliance into a single coherent fabric — is called Sophia.
The cardinal rule, stated plainly: any computer, any server, any appliance that joins Sophia becomes a SARAH AI Suite client immediately. There is no installer ritual, no per-vendor onboarding sequence, no separate SDKs for voice versus CRM versus payments versus connectors. Membership in Sophia is the onboarding.
Unified intent router. Arrivals by phone, by chat, by webhook, by scheduled trigger, by partner system are normalised into the same tool-call shape and routed into the correct native business module. Booking a meeting, creating a deal, posting a payment, queuing a content generation, registering a voice clone, requesting a translation — each is one call on one API, each writes to the same per-contact activity spine, each emits the same workflow trigger events.
Layer 3 · Connectors
34,792,085 Live enterprise features, connectors and APIs. Each conforms to a small set of canonical verbs — health · list · get · create · update · action · log. When a customer pushes a record to a CRM, pulls a ticket from a help desk, or settles a transaction through a UK Open Banking endpoint, the call shape is identical to any other tool call. The vendor underneath becomes an implementation detail.
Layer 4 · Intelligence
Private GPU pool, sovereign hardware. Composing workflows, drafting copy, classifying sentiment, deciding which connector to invoke, routing a sales conversation by intent, summarising a meeting — every reasoning task is a tool call into Sophia’s own large-language-model fleet. No cloud-LLM dependency. No per-token billing leakage. The intelligence layer is part of Sophia.
The Connector Library · Live Today
Sophia’s connector layer is the largest unified enterprise-API surface ever assembled under a single tenancy model. As of 2026-05-18 the live fabric contains 1,512,660 connector categories and 34,792,085 individual features, connectors and APIs, organised into the following structural cohorts.
Cohort 01 · Foundational SaaS
63 named categories
The original surface. Single-name categories anchoring the canonical verbs: accounting, airline, bank, billing, calendar, crm, ecommerce, email, esign, gaming, government, healthcare, hotels, payments, storage, support, workflow, and 46 more.
Cohort 02 · Airline Distribution
180 carriers
Direct carrier APIs + GDS. 180 airline direct integrations across IATA NDC L4, Sabre, Amadeus, Travelport, plus IROP, cargo (IATA-CASS, CHAMP, CargoIQ), interlining, codeshare settlement. Live under the airline category root.
Cohort 03 · Banking & Open Banking
236 institutions
Core banking + KYC + aggregators. 236 banking integrations across FIS, Fiserv, Jack Henry, Temenos, Mambu cores, card networks, ACH/RTP/FedNow rails, KYC/AML, UK Open Banking, EU PSD2, AU CDR, and 22 regulatory reporting feeds. Live under the bank category root.
Cohort 04 · Australia (au_*)
100,008 categories
Country-specific mega-cohort. 100 AU industries (mining, agriculture, healthcare, finance, NDIS, construction, retail, government, education, tech) × 100 segments × 10 AU regions (NSW, VIC, QLD, WA, SA, TAS, NT, ACT, national, regional remote). Domains anchored to .example.com.au. APRA / ASIC / AUSTRAC compliance flags set per category.
Cohort 05 · Banking Subtypes (bk_*)
100,000 categories
Global banking taxonomy. 100 bank subtypes (US, UK, EU, AU+NZ, CA, APAC, MENA, LATAM, AFRICA, FINTECH) covering every charter type globally including building societies, caisse populaire, Sparkasse, Volksbank, Islamic banks, neobanks. 100 banking segments × 10 regions. Compliance flag on every category. mTLS-certificate authentication.
Industry × segment × region. Two sequenced 100K pushes covering 100 global industries (community, private, specialty, treasury, personal, boutique, yacht, trade, ski, trust, craft, academic, spa, comic, ebike, tattoo, fund, and 83 more) × 100 functional segments × 10 regions (US, UK, AU, EU, CA, DE, FR, JP, IN, SG in the first push; BR, NL, SE, ES, IT, KR, TW, MX, ZA, IE in the second). Zero collisions across cohorts.
Cohort 08 · Specialty Vertical Cats
12,000+ categories
Long-tail enterprise surface. Specialty (4,205), treasury (4,204), personal (4,202), boutique (4,201), yacht (4,201), plus dozens of additional cohorts at the 2,100–6,300 category range each. These extend the combinatorial pattern into operator-specific niches: marina ops, ski resort PMS, comic distribution, tattoo studio PMS, ebike fleet telemetry, academic LMS, trust administration.
Canonical Verb Set
Every one of the 34,792,085 entries on the fabric speaks the same seven-verb canonical language. There are no per-vendor SDKs, no per-category exceptions, no “legacy API” carve-outs that customers need to special-case in their integration code.
Verb
Semantics
Use
health
Liveness + auth probe
Confirms the underlying vendor endpoint is reachable and our credentials are valid.
list
Enumerate available records
Returns paginated records under the connector instance (accounts, contacts, tickets, deals, etc.).
get
Retrieve a single record
Returns the canonical representation of one record by ID.
create
Write a new record
Posts a new record to the underlying vendor and returns the canonical representation.
update
Mutate an existing record
Partial-update an existing record; supports optimistic concurrency where the vendor exposes it.
action
Invoke a domain-specific operation
Vendor-specific verbs (charge, refund, send, settle, dispatch) projected into a uniform invocation shape.
log
Append to the canonical activity spine
Writes the invocation, response, and side-effects into the per-contact activity record — the regulator-grade audit trail.
Sophia as a Network
Sophia is a private layer-three fabric. Its transport today is a WireGuard mesh joining hosts in three continents — a European hub, an Australian edge, a North American edge, plus a permanent on-premise mirror — and it is being grown into a sovereign edge network anchored by NVIDIA Grace Blackwell Sparks acting simultaneously as GPU inference nodes and carrier-grade routers.
Transport
Kernel WireGuard for line-rate encrypted tunnels. Two NVLink ports per Spark, one hundred thirty-eight gigabits per second per port. Single-pass cryptographic envelope at line rate.
Routing
FRR for BGP and OSPF. nftables for zone-based firewalling. Declarative YAML configuration with sixty-second rollback safety on every change.
Node Topology
Each Spark is, in essence, a small data centre that fits on a desk: terminates fibre, peers BGP, runs WireGuard concentration, serves STT, serves TTS, serves LLM inference, hosts a portal, hosts a database, hosts the connector library — all from one box.
Fleet Capacity Target
One petabit per second of aggregate edge capacity once the Spark count scales into the millions.
Compute Hierarchy
Sparks at the edge (8 B · 26B-A4B MoE · 31 B · 32 B reasoning + voice runtime). Above a denser tier: RTX 6000 Pro racks for seventy-two-billion-parameter language models at full precision. ApexHGX B300 deployments for two-hundred-thirty-five-billion-parameter conversational managers and trillion-parameter “Deep Thinker” rotations. All reachable across Sophia, all behind the same one API.
Joining Sophia
A new participant becomes a Sophia member through a thin client agent and an auth handshake. The agent installs once. It generates a WireGuard keypair, registers with the Sophia identity service, negotiates peer routes, mounts the unified API endpoint at a stable local address, and from that moment forward the host behaves like a SARAH AI Suite tenant. Voice calls route inward. Connector calls route outward. Workflows run. Per-contact activity flows into the spine.
The customer’s CFO sees one line item — SARAH AI Suite, monthly subscription — not a calendar tool plus a CRM plus a bookkeeping suite plus a telephony provider plus a help desk plus thirty more.
For computers that already exist — a customer’s old Postgres-backed CRM, a billing server, a call-centre floor of softphones, a partner’s audit system — Sophia membership is also the integration path. A read-only connector slug exposes their data inward. A write-side tool call pushes events outward. There is no separate “API gateway” project to stand up. There is the one API; there is Sophia.
The Sophia federation, illustrated. The towering Sophia spirit remains the central, omnipotent API structure. Below her, the planetary mesh is populated by two distinct economic worlds — traditional brick-and-mortar institutions and hyper-modern technology campuses. Deep within both architectures, glowing DGX B300 server racks emit miniature SARAH spirits transmitting compute and capability into the central Sophia. The network does not care about a company’s age or legacy architecture. One hardware node, one API, and the participant becomes part of the single cohesive Sophia engine.
Why This Matters
Every SaaS empire today is fragmentation: thirty surfaces, thirty auth schemes, thirty billing relationships, thirty observability stacks, thirty places a request can fail silently. Sophia is the inverse bet — that the customer does not want thirty APIs, they want one outcome, and the outcome surface is a single consistent place where intent goes in and action comes out.
The endgame is a planet-scale federation of Sophia members — millions of edge appliances at homes, businesses, hospitals, airlines, call centres, sovereign clouds — each running the same client, each able to compose with every other through the same one API. Per-owner SARAH appliances negotiate calendar, contract, real-estate, vendor and settlement decisions across Sophia using a signed agent-to-agent protocol. Emergency compute floods across the fabric to where disasters strike. A watershed of sensors and a fleet of robots and a hospital’s tumour-board second opinions all transact on the same call surface.
The picture, then, is not a product. It is a fabric. SARAH speaks at one end; the world answers at the other; Sophia is what makes that conversation a single sentence.
Chris Ismail · Founder, IDESKS ONLINE AI
Planet-scale federation. The towering Sophia spirit remains the central, omnipotent API structure. Stretching across the planetary mesh, millions of glowing miniature SARAH spirits represent the dual-DGX Spark nodes at the edge. The swarm of digital voice engines beams threads of audio, compute, and data back to the central Sophia — a planet-scale federation where all edge intelligence converges into one unified core.
The Hardware Substrate
Sophia operates on a three-tier compute substrate, all reachable across the same private layer-three fabric, all expressed through the same one API.
Tier
Hardware
Role on the fabric
Models in residence
Edge
NVIDIA Grace Blackwell Spark GB10
Concurrent GPU inference, WireGuard concentration, BGP peering, STT, TTS, voice runtime, local portal. One box, one data-centre footprint.
8 B · 26 B (MoE A4B) · 31 B · 32 B
Dense
NVIDIA RTX 6000 Pro racks
Full-precision 72 B language model service for cohort-wide reasoning, document understanding, code generation, structured extraction. Acts as Sophia’s mid-tier brain.
72 B (full precision)
Apex
NVIDIA HGX B300 8× B300
235 B conversational manager service and trillion-parameter Deep Thinker rotation. 2,304 GB unified HBM3e at 64 TB/s aggregate. The SOPHIA C-Level Deep Thinker resides here.
235 B · 1 T-class rotation
HRM-Symbolic (27 M) and HRM-Text (1.15 B) from Sapient Inc are pinned to every Spark node as a structured-reasoning co-processor that the Transformer fleet can invoke for constraint-satisfaction, scheduling, and symbolic problems where chain-of-thought underperforms.
Available Today
Sophia is the operational substrate of SARAH AI Suite, commercially available worldwide as of 2026-05-18. Two appliance tiers operate on the live fabric:
SARAH Enterprise — NVIDIA DGX B300 appliance · 1,000 concurrent voice agents · for tier-1 / tier-2 banks, federal and state agencies, health systems, airlines, hotel chains, and BPOs. Industry pages at scale-growth.ai/edms/.
SARAH Spark 2 — Compact desktop-class appliance · 2 concurrent voice calls · for solo practitioners and single-location operators in healthcare, dental, veterinary, multi-specialty clinic, and restaurant verticals. Industry pages at scale-growth.ai/spark2-edms/.
Both tiers operate the same SOPHIA Layer-3 API HUB, the same 34,792,085-entry connector fabric, the same WireGuard mesh, the same canonical verb set, and the same 36-month Global Replacement Warranty. The appliance is depreciable on the customer balance sheet, located within the customer’s controlled environment, with customer-held encryption keys and a complete audit trail covering every call, prompt, and output. No third-party model API calls. No per-token billing leakage. No multi-tenant data-residency exposure.
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