alphabytez studio node online

Private AI systems for teams that cannot leak the hard parts.

AlphaBytez owns and builds local-first AI products, secure application systems, and deployment patterns. We also consult with teams that need the same product judgment applied to private AI, monitoring, and hardened workflows.

owned by alphabytez

Products first. Consulting grounded in shipped systems.

The site should make two things obvious: AlphaBytez owns real product IP, and teams can hire us to design, build, deploy, or harden similar private systems.

[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]

STING

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

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Deployment patterns

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

Need help applying this to your own environment? Start with a technical consult for private AI architecture, secure product engineering, Waspen workflows, or deployment hardening.

Talk to AlphaBytez

product stack

Commercial products with private-system DNA.

Waspen leads the current announcement cycle; HIVE and the STING fabric beneath it show the larger secure AI platform direction.

private AI platform in 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

studio services

Priced starting points for private AI work.

Start with a readiness assessment, move into a scoped private deployment, or keep a shipped system healthy with managed care.

$ 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-care From $500/mo

Managed care retainer

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

[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