Private chat interface
Approved users get a clean interface for company documents, with no public tool in between.
AI infrastructure, deployed in-house.
Bring AI infrastructure in-house.
InHouse Compute designs, deploys, and hands off private AI environments on customer-owned hardware, so your team can run AI close to the systems, files, and workflows it already depends on.
Customer-owned infrastructure No public exposure by default Deployed with documented handoff
Built for IP-heavy, document-heavy businesses
ManufacturingEngineeringMedtechTechnical servicesProduct designTest labs
The problem
Your best documents are exactly what you can't paste into a public AI tool.
Teams want document-aware AI. But sending proprietary drawings, procedures, and reports to outside platforms means giving up control, and per-token cloud billing makes costs hard to predict.
- Sensitive IP and internal documents leave your control the moment they're uploaded.
- Per-token billing turns a useful tool into an unpredictable line item.
- Your IT team inherits a system they didn't design and can't fully see.
How it works
One scoped path from question to production.
Every engagement starts with intake and a working review, so you can prove value before committing to a rollout.
Assess
A paid, fixed-scope assessment questionnaire, working session, and written recommendation covering use cases, approved documents, data boundaries, hardware, and pilot success criteria.
Pilot
The In-House AI Launchpad: one private chat interface, one local model path, one approved document collection, up to 10 users.
Deploy
Production rollout scoped from pilot results — infrastructure sizing, security review, backup planning, and acceptance criteria.
Support
Documented admin handoff for your IT team, plus optional maintenance with explicit access and response boundaries.
What to expect
Numbers you can hold us to.
Starting price, ownership posture, access boundary, and pilot size before we scope the details.
from $750
Readiness Assessment, credited toward your pilot if you proceed
100%
Customer-owned infrastructure, credentials, and backups
0
No standing vendor access paths or shared root passwords
up to 10
Pilot users included in an In-House AI Launchpad deployment
What we deploy
A customer-controlled AI environment.
A private deployment your team can own and operate, not another SaaS subscription.
Document-aware retrieval
Deployments index approved document collections and cite source material where the selected tools support it.
Local & private model serving
Models run on your hardware. For local workloads there is no per-token bill from an outside provider.
Admin handoff & documentation
Your IT team receives deployment notes, credentials, and the operational runbook. They own it from day one.
Customer-controlled backups
Backup and restore procedures live in your environment, documented for your team to run and verify.
Updates & optional support
Update paths and model-refresh plans with explicit access, response, and responsibility boundaries.
Security & ownership
The control decisions are made before production.
Before anything goes live, we define access, exposure, approved data paths, support boundaries, and who owns each operational control after handoff.
Access is approved before use
Setup and support access is named, time-limited, and removed after handoff unless support scope says otherwise.
Private by default
Pilot services are planned for local network or VPN access, not public internet exposure.
Exceptions are reviewed
Hosted dependencies, external model calls, and remote access are reviewed before they are used.
Control decisions are documented
The full posture covers credentials, logs, support access, data paths, and who owns each control after launch.
Pricing
One transparent ladder, one step at a time.
Start with a professional assessment. Everything after is scoped to what you actually need.
Step 1 Start here
Readiness Assessment
from $750Credited toward your pilot
An assessment questionnaire, working session, and written review of use cases, documents, data boundaries, hardware, and success criteria before you commit to anything larger.
Ask about the assessment Step 2
In-House AI Launchpad
from $4,500Remote · on-site from $7,500 + travel
A fixed-scope pilot: one private chat interface, one local model path, one approved document collection, up to 10 users.
See what we deploy Step 3
Production Deployment
ScopedPriced after assessment
Infrastructure sizing, security review, backup planning, support boundaries, and acceptance criteria for your rollout.
Talk through scope Ongoing
Maintenance & Refresh
from $750/moOptional monthly plans
Updates, model-refresh support, and monitoring with explicit access, response times, and responsibility boundaries.
Explore servicesHardware is customer-owned and not included unless separately quoted. Travel billed separately for on-site work.
Resources
Decision notes for your IT and leadership team.
Short references that preview the decisions we review with you during an assessment.
Hardware planning
The sizing factors we review with your team before recommending a server or pilot scope.
Model policy
How model choices, license constraints, limitations, and refresh plans are documented for each deployment.
Security and handoff
Access, backups, logs, remote support, and ownership questions to settle before production use.
Next step
The first paid step: a Private AI Readiness Assessment.
First, send a short inquiry. If there is a likely fit, we invite you to a free 20-minute call. The paid assessment comes next and its fee is credited toward your pilot if you proceed.