private ai advisory + secure systems

Make the right AI move before you spend.

AlphaBytez gives business owners and technical teams practical guidance on where AI fits, what it should cost, and what risks to avoid. When the right answer requires a system, we design and build private AI, monitoring, and secure application workflows.

Introductory offer: $650 through December 31, 2026 · normally $750

ways to work together

Start with the amount of help you actually need.

Begin with a fixed-price conversation, move into a structured assessment, or bring AlphaBytez in to build and support the system.

$ assess-readiness$1,500-$2,500

AI readiness assessment

A focused review of workflow fit, data boundaries, deployment constraints, and practical AI risk before the build.

$ deploy-private-ai$5,000-$15,000

Private AI deployment

Scoped implementation for private AI workflows, protected search, model routing, internal tools, or deployment hardening.

$ managed-careFrom $500/mo

Managed care retainer

Ongoing support for shipped systems, monitoring review, dependency checks, deployment guidance, and advisory time.

why alphabytez

Advice grounded in products we actually build.

We do not advise from a slide deck alone. AlphaBytez owns product IP and applies the same engineering judgment, privacy boundaries, and operating discipline to client work.

[owned]

Waspen

AlphaBytez-owned desktop monitoring product for local-first website, service, dashboard, screenshot text, job, rule, and incident workflows.

[owned]

HIVE

Private-AI product family: a desktop application for individuals, plus an optional organization-owned Hub for governed collaboration.

[owned]

Handrail

A macOS-first desktop workflow project, preparing a free beta with SEA guidance and explicit user confirmation.

[owned]

STING

The security and trust fabric beneath HIVE — device identity, encrypted transport, policy enforcement, privacy controls, and auditable decisions.

[owned]

Deployment patterns

Reusable architecture, hardening, monitoring, and trust patterns developed through our own products and client systems.

Not sure whether you need education, an assessment, or a build? The AI Clarity Session is the lowest-cost place to sort that out without committing to a larger project.

Start with clarity

product stack

Our applications and platform projects.

These products are more than a portfolio. They are where we test the local-first, security, deployment, and operational ideas that inform our consulting work.

private AI platformin development

HIVE

A private AI workspace that runs on your own computer, and connects to an organization workspace your company owns and controls.

  • Desktop-first architecture
  • Organization-owned Hub
  • Built for regulated teams
guided desktop workflowsin development

Handrail

A macOS-first project for everyday tasks you can teach, review, and run with your confirmation. SEA provides a little guidance along the way.

  • Free during beta and afterward
  • Supervised workflows are the goal
  • Preparing for beta; no download yet
[ok] desktop-beta

Waspen is active on Mac through direct beta distribution and on Windows beta through the Microsoft Store.

[ok] local-first

Product and services work starts from data staying where it already lives.

[ok] no-telemetry

Default product posture is quiet, explicit, and controlled by the operator.

[ok] commercial-focus

New platform work is commercial-first, with open code considered only where it improves trust.

next action

Bring the messy system. We will make the boundary explicit.

If you are evaluating private AI, local monitoring, secure automation, or a product idea that cannot depend on blind cloud trust, start with a technical conversation.

Book a technical consult