Every question your team asks a cloud model teaches the vendor how your business runs; the model of your operation should be an asset you own, on hardware you own, with a person deciding what goes out.
Each horizontal reads the ontology, proposes into it, or protects it. The appliance is the system of record; a person promotes.
Every product line reads the same facts and proposes into the same graph. Turn on the ones your operation needs; nothing you turn on writes without a person.
Cameras become described events on the appliance; clips never leave the building.
Policy, secrets, watchdogs and the SIEM. Permission is data, not a checkbox.
The knowledge graph of your operation, seeded per site, with provenance on every fact.
The model gateway. Graph first, small local models next, a frontier model last and only by consent.
Local speech in and out. The after-hours line that knows the property.
Governed texting. Inbound sorted, replies drafted, every customer-facing send approved by a person.
Playbooks and approvals. Routine work runs; exceptions reach a human.
The appliance, its mesh and its deployment. One road from lab to production.
Connectors to the systems you already run. Each one proposes, never promotes.
Sentiment and signals from outside, scored against your own facts.
Ontonio's presence. A face, a voice and, in time, a body.
The monthly picture for owners, insurers and staff, from the same facts.
Code as an actor. Changes proposed under policy and reviewed like any other write.
By design on the appliance, measured on the reference deployment, or labelled modelled. Nothing else.
Facts, links and policy answer first. A model is asked only when the graph cannot say, and it proposes rather than promotes.
by design · verified on the reference deploymentThe graph and the on-box models answer locally; the frontier is a separate, consented path that stores nothing upstream.
by design · verified on the reference deploymentMedian of a fresh render measured through the tunnel; a cached phrase is faster.
measured · reference deployment · as of 2026-09-09The marginal question costs electricity, not tokens.
by design · verified on the reference deploymentWhat changes when the intelligence runs on an appliance you own instead of a seat you rent.
A cloud AI seat is rent. An appliance is an asset on your balance sheet, and the marginal question is electricity.
Every question the graph answers is a question nobody on staff had to stop and answer.
Governance as a number, not a promise.
Your data never leaves the building. We ship signed models to an edge box you own — the cloud is our supply line, not your data’s destination.
Born from EdgeSec. Policy, secrets and the mesh come first — every write passes the policy engine, every credential lives in an open vault, and the AI rides on that governance, not instead of it.
Graph first, tools second, tokens last. Most “AI questions” are lookups — lookups cost $0. Your AI bill is a rounding error, by architecture.
Buy the model, the graph, the hardware — outright. Own-the-model deals take everything home. No other AI vendor will sell you the brain.
We model your business — customers, jobs, assets, consents — and agents obey that model. Every answer cites the facts it used and how they were known. In published benchmarks, grounding a strong general model in a curated ontology beat fine-tuning a domain model on knowledge, generalization and hallucination — which is why we train the graph and keep the model stock.
No vendor lock, ever. We feel like you’ll never leave us — but if you do: you’re welcome 🙂 Your stack deploys anywhere.
The appliance runs your agents locally, so the marginal cost of a call or a query is roughly the electricity it takes to serve it — accuracy compounds while cost stays flat.
No per-minute or per-token bills. Flat monthly, per location.
Customer records and call audio never leave your building.
Calls keep getting answered when the internet doesn't.
EdgeSec's operations center behind every installation.
Built for the 50–500-employee organization: several systems that disagree, real compliance exposure, real call volume — and no data team.
Design-IP & QA accelerator.
Calypso data stays local · CAD never leaves the building learn more →After-hours dispatch accelerator.
100% calls answered · <1 min to tech paged learn more →Scheduling & intake accelerator.
~30% fewer no-shows · 100% on-site data learn more →Tenant-line accelerator.
24/7 triage · maintenance + access in one view learn more →Estimate & dispatch accelerator.
Quotes in-call · tows dispatched in minutesClient-intake accelerator.
Qualified intake · insurer-ready reportingEvery-store accelerator.
One number · one console per fleetFront-office & safety accelerator.
Attendance line answered · bus alerts by text · FERPA on-site console nextDepartment & 311 accelerator.
Deflection at scale · CJIS-scoped · permits on the clock learn more →Member-line accelerator.
GLBA on-prem · CD & loan clocks · wire-fraud watchdogBreakdown & detention accelerator.
HOS-aware answers · detention recovered with ELD proof learn more →Closing-clock accelerator.
Wire instructions verified · every closing call answeredVisit & recert accelerator.
HIPAA on-site · scheduling by text · recert clockTwo workshops to map your entities and call flows.
Our team trains agents and wires the semantic layer to your systems.
EdgeSec deploys the appliance and hardens the network.
One line first, daily review, then full rollout.
How an AI receptionist, an ontology and an edge box fit together — written for owners, not engineers.
Reference ontologies for field service, clinics and property management — browse, download, adapt.
An interactive selector that walks you from your systems and vocabulary to a recommended starting ontology.
The platform is a monthly subscription per location, sized by endpoints — every laptop, server, camera, controller and door gateway we watch. The ontology — the model of your business that makes everything smart — is built once, priced as an engineering engagement, and can be owned outright.
Bought a la carte elsewhere: EDR, MDR/SOC, log retention and patching are four line items from four vendors — before any AI, and before the edge node. Here one rate is the whole base: protection, SOC, telemetry, the appliance, and Ontonio ready to switch on.
Scope my endpointsVolume bends the rate. Multi-location and vertical bundles are priced on the same math, and a voice-only start is the smallest way in. Edge hardware is included in the base — gateway to Thor-class, sized to your building.
Further workloads and vertical packs are priced per pack on the same engagement. Own-the-model deployments never send your data — or your model — off your property. Built for manufacturers and anyone whose designs are the business. And on every plan: no vendor lock, ever — we feel like you’ll never leave us, but if you do, you’re welcome 🙂
Book a 30-minute demo. We'll sketch a first ontology of your business live — your systems, your vocabulary, your property on the map.
Or reply to whoever sent you this link — you already know one of us.
Five fields. A fixed quote after a 30-minute scoping call.