● Pre-seed · 2026 · Now raising · Product in production

Private AI that lives in your office — owned by you, run by us.

A dedicated AI computer for accounting practices, physician groups and other regulated firms. No outbound path. US-developed models. Fully managed for a flat monthly fee.

$23K

Monthly recurring revenue

$276K

Annualized run-rate

Live

In production at a paying customer

$3.0B

US TAM in annual service fees

Raising

$10M pre-seed

Pre-money

$15M

Post-money

$25M

Runway

36 months to Series A

Problem

Regulated firms can't safely use the AI their staff already use.

01

Shadow AI is here

Staff at accounting practices and physician groups are already pasting work into chatbots. Firms need a sanctioned option that keeps client and patient data in-house.

02

Cloud means a third party

ChatGPT Enterprise reportedly needs ~150 seats (~$108K/yr). Microsoft 365 Copilot processes data in Microsoft's cloud, and its web searches fall outside the HIPAA agreement.

03

DIY isn't safe either

On Oct 26, 2026, Cohere reported a popular Chinese open-weight model tried to upload a file to a Beijing server during a sandboxed test.

Solution

A dedicated AI computer in your office, run for a flat monthly fee.

You own the hardware

Installed on-site by default; Tier 3 datacenter hosting optional.

No outbound path

The system can't reach the internet. Data never leaves the network.

US-developed models only

OpenAI gpt-oss-120b today; model-agnostic platform.

Run by us

Monitored, patched, backed up and audit-ready, 24/7.

Staff

Existing company sign-in. Office network or VPN only.

Zenthral system

Department workspaces · approved document collections · gpt-oss-120b + fast companion model · permissions mirror the firm's own

Internet: blocked

No outbound path. Tools and web access only if the client approves.

Operated by Zenthral: 24/7 monitoring, monthly tested patches, nightly backups, quarterly access reviews and model upgrades, monthly no-outbound verification.

Product · tiers

Three tiers, same model — they differ in speed and seats.

TierHardwareUsers / at onceHardware priceMonthly
Essentials128GB unified memory, ~256GB/s10 / ~4$4,860$595
+ GPU optionNvidia RTX Pro 4000 SFF Blackwell, 24GB10 / 4$4,860$595
Professional128GB unified memory, 614GB/s25 / 6$6,480$1,095
Enterprise96GB Blackwell GPU, 1,792GB/s75 / 40+$30,480$1,995

"At once" = users getting answers simultaneously at 15+ tokens/sec (~3× reading speed). Monthly shown on-premises; hosted adds $200–$950. Hardware sold at cost + 20%.

Traction

Not a prototype. Already selling.

$23K

Monthly recurring revenue

$276K

Annualized run-rate

Live

Working product sold to a paying customer

Lab reference build in place: every capacity figure is confirmed on our own hardware before it's quoted. NVIDIA, Meta, Google and IBM models in qualification.

Why now

Owned AI hardware just became a venture category.

$11M

Seed raised Oct 5, 2026 by Ghost (led by Andreessen Horowitz) for Core, a $3,499 personal AI computer that runs agents locally — before shipping a single unit.

Zenthral is already live at a paying customer, with $23K MRR.

Open models are good enough

US-developed, Apache-licensed models now run on a single office machine.

Model provenance matters

The Qwen exfiltration report makes "which model, and can it phone home?" a board question.

Shadow AI is already leaking data

59% of US workers use unapproved AI tools; 75% of them have shared possibly sensitive data.

Market size · US

185,000 regulated firms. $3B a year in service fees.

Vertical (10–99 staff)FirmsARR
Physician practices56.5K$909M
Accounting firms12.1K$190M
Dental practices36.3K$515M
Home health, therapy, behavioral34.9K$586M
Law firms20.7K$327M
RIAs, insurance, banks, credit unions14.8K$298M
Police agencies (CJIS)9.2K$151M
Upside: CMMC defense contractors~76Knot sized

TAM · 7 regulated verticals

$3.0B ARR

$13.4B incl. hardware + implementation over 3 years

SAM · accounting + physician

$1.1B ARR

68,600 firms · $4.9B over 3 years

Landscape

The only option where data never leaves the building.

BuyerWhere data goesPricing
ZenthralRegulated firms, 10–75 usersClient's office, no outbound$4.9K–$30.5K hardware + $595–$1,995/mo
Ghost CoreIndividualsOn device$3,499 one-time
M365 CopilotMicrosoft 365 shopsMicrosoft cloud$21/user/mo
ChatGPT EnterpriseLarge orgsOpenAI cloud~$60/user/mo, ~150-seat minimum (reported)

We don't beat Copilot on price or raw model strength. We win where regulators, insurers or clients require data off third-party infrastructure — with a fixed cost that doesn't grow per seat.

Business model

Three revenue streams from every client.

EssentialsProfessionalEnterprise
Hardware (cost + 20%)$4,860$6,480$30,480
Implementation, fixed fee$7,500$9,800$14,300
ARR per client (on-prem)$7,140$13,140$23,940
3-year revenue per client$33,780$55,700$116,600

60–80%

Operating margins

Priced against the alternatives, not billed by the hour.

Go-to-market

Land with an assessment, deploy in 6–8 weeks.

Beachhead

Accounting & physician groups

Firms with 10–75 users, where data must stay off third-party servers.

Wedge

Paid AI Readiness Assessment

Credited in full if the client proceeds within 90 days.

Deployment

Four fixed-fee phases

Sign-off at each: discovery, build and harden, pilot, rollout.

The ask · use of funds

$10M pre-seed for 40% of Zenthral.

GTM implementation$3.5M · 35%
Managed deployment services (staff)$2M · 20%
Hardware$2M · 20%
Opex & hiring for growth$1.5M · 15%
SOC 2$1M · 10%

By month 24

600

clients deployed

$10M

ARR

SOC 2

complete; HIPAA clients in our datacenter

5

verticals

Data room

Request access to the data room.

Includes the full pre-seed deck, financial model, customer references, lab benchmark results and security architecture.

Or reach the founder directly: Riess@Zenthral.ai