- PRO
- /
- SDK
Enterprise Licensing for Features Across:
- Control
- Create
- Automate
- Extend
The AI your enterprise runs. Not the AI you rent.
Cephable controls, creates, and automates across every app your team already uses — with inference running entirely on the device. No cloud routing. No data egress. No per-task meter.
WHERE THE WORK ACTUALLY LIVES
Most of your work never needs the cloud.
Day to day, the bulk of what your teams do is high-frequency and low-to-mid complexity. Cephable runs all of it on-device at zero marginal cost. Escalate to a frontier model only when a task genuinely demands it. Hover any bar to see where real work falls.
- On-device Create
- On-device Automate
- Frontier Value Realized
- Control, Create and Automate run on your device. Frontier is where a task earns the cost of a cloud model — the most ambitious Automate jobs straddle the line.
THE ENTERPRISE MATH ISN’T WORKING WITH CLOUD AI
You’re paying three times for AI you don’t control.
01
Spend with no ceiling.
AI moved to consumption billing. Every interaction is a metered cost event. Enterprises see 2–4× actual vs. budgeted AI consumption at scale.
(Gartner)
02
Hardware you’re not using.
114M AI PCs shipped in 2025 with NPUs built for on-device AI. Most sit below 10% utilization.
(Intel)
03
Risk you can’t see.
AI work is moving through accounts IT never provisioned. 67% of enterprise AI usage runs on unmanaged accounts.
(LayerX)
Same architecture. Pick your seat.
One decision solves four problems.
For the CFO
Consumption billing has no ceiling. On-device inference has no per-task cost — routine workforce AI stops being a metered line item.
80–90% of enterprise AI workloads don't require a frontier model. (Iterathon)
For the CISO
0 bytes of inference leave the device. No data egress, no jurisdiction risk, no carve-outs — compliant by architecture, not by policy.
67% of enterprise AI usage runs on unmanaged accounts. (LayerX)
For the CIO
One agent across every app and ecosystem your fleet runs — not locked to Microsoft, Google, or any single vendor. It works where each of their on-device features stops.
Workers toggle 1,200+ times a day across 10+ apps. (HBR)
For the CEO
The AI PC fleet you already approved, finally returning something — day-one productivity on hardware that's otherwise sitting idle.
114M AI PCs shipped in 2025; most NPUs sit below 10% utilization. (Gartner / Intel)
One architecture. Every answer runs on the device.
AND HERE’S THE PART NO CLOUD AI CAN CLAIM
All of it runs right here.
Not in a data center. Not on someone else’s servers. On the device in front of you. Keep scrolling — we’ll take you all the way down to the silicon.
Cephable runs entirely on your device. It starts as the app on your laptop, goes past the display into the motherboard, and all the way down to the silicon chip doing the work. The AI model runs on your own hardware — private by design. Nothing ever leaves your machine. No cloud. No data collection. Works offline.
It all runs right here.
Every command, every word, every workflow — processed entirely on your device. Private by design. Nothing ever leaves your machine.
One assistant. Four capabilities.
- Control
- Create
- Automate
- Extend
Bring additional value to the system with BYO-AI, MCP, hybrid prompt orchestration and more.
Private by design, not by promise.
Most AI assistants send everything to a server and ask you to trust the policy. Cephable runs on your hardware — so the controls are architectural, not contractual.
Deterministic guardrails
Send, delete, and purchase actions are blocked at the app layer, not the AI layer. The model can't "decide to be helpful" and override a rule. Bulk actions produce drafts for human review, never auto-send.
Identity you already run
SSO across any IDP — SAML 2.0, OAuth 2.0 with PKCE, AD / Entra / Okta. Granular policy at org, group, or individual level.
Full attribution
Encrypted, exportable history of every agent action. Actions issue as synthetic OS events, so the system distinguishes agent from human.
Reaches what others can't
Operates through OS accessibility APIs — no scraping, no screenshots. Reaches legacy and secure clients cloud assistants can't enter.
0
bytes sent to the cloud
100%
on-device inferencing
works fully offline
Keep your frontierAI.
Stop overpaying it for the routine.
Cephable runs alongside Microsoft Copilot, Google Gemini, and Apple Intelligence — the cross-ecosystem, on-device layer none of them provide. Roughly 80–85% of a knowledge-worker's day runs well on a local model. Cloud frontier AI keeps its place for the rest.
Frequently asked questions
Questions about Cephable for enterprise
Security and governance
Cephable inherits the governance you already apply to the device. It runs from the operating system up, with the signed-in user's permissions, so it can't reach any file, app, or site that the user can't. If you already govern the laptop, you already govern Cephable. Admins can then add Cephable-specific rules on top.
No. Cephable enforces admin rules at the action level, not in the prompt. It checks every step against the rules before it acts, so no wording can talk it past a block. Admins can allow or block apps, sites, and actions for the whole organization or per user. Rule changes reach every device in real time and can stop a task mid-run.
No. Cephable admin analytics show which tools were used, when they were used, and how many tokens they consumed. They don't show prompts, files, or outputs. Prompts and results stay encrypted on each device. Security teams can export history locally when policy requires it. Admins can also switch off remote automation and public web research for the whole organization.
Yes. Cephable's built-in browser follows the same network and endpoint security rules as any other browser on the device, and it can't route around them. Prompts are processed locally, so there's no AI traffic leaving the device for your security tools to inspect. Cephable provides its network requirements during deployment planning.
Deployment and IT
IT deploys Cephable through its normal device management tools and connects it to the identity system it already runs. Cephable supports SSO over SAML 2.0 and OAuth 2.0 with Microsoft Entra ID and Okta, plus SCIM provisioning. Admins set organization rules at portal.cephable.com, and those rules sync to each device when the user signs in.
Cephable sends each job to the processor that suits it best. The NPU handles lightweight work that runs continuously and fits its small context window, like voice processing. Long agent tasks need more working memory, so they run on the integrated or dedicated GPU, with the CPU as a fallback. No AI PC is required, but newer hardware runs faster.
Cost and performance
No. Cephable puts almost no load on the machine while it's idle. When it runs a task, it watches the resources that are free and splits work between the CPU and GPU. If graphics memory is busy, it loads the model into system memory instead. At install, it sets up the model optimized for that device's hardware.
Cephable is licensed per user per year, with no token or consumption fees, so your AI cost is set when you buy. Everyday work runs on the device at no added cost. Teams that keep a frontier model can save it for the few jobs that need one, which shrinks cloud spend to the exceptions.