$ clarity-session$650 promo · normally $750AI Clarity Session
Includes tailored preparation, a 90-minute working session, a personalized AI Clarity Brief, and a 30-minute follow-up. Introductory pricing is available through December 31, 2026.
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
HIVE Desktop · public preview
Bee is ready to help you work through documents and build reports you can check. The Mac and Windows previews are available now.
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-$2,500AI readiness assessment
A focused review of workflow fit, data boundaries, deployment constraints, and practical AI risk before the build.
$ deploy-private-ai$5,000-$15,000Private AI deployment
Scoped implementation for private AI workflows, protected search, model routing, internal tools, or deployment hardening.
$ managed-careFrom $500/moManaged 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.
Waspen
AlphaBytez-owned desktop monitoring product for local-first website, service, dashboard, screenshot text, job, rule, and incident workflows.
HIVE Desktop
A desktop workspace for document research, decisions, and reviewable reports. Now in public preview for macOS and Windows.
Handrail
A macOS-first desktop workflow project, preparing a free beta with SEA guidance and explicit user confirmation.
STING
Earlier private AI work that informed HIVE Desktop. Current downloads, guidance, and documentation live on the HIVE sites.
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 clarityproduct 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.
current productmac direct beta + windows beta live
Waspen
Local-first monitoring for websites, services, dashboards, jobs, rules, incidents, screenshot text checks, and operational workflows.
- Mac beta distributed directly
- Windows beta via Microsoft Store
- No telemetry by default
research and reportingpublic preview · Mac + Windows
HIVE Desktop
Work with Bee to organize documents, compare options, and build reports you can read and check.
- Source-based research with Bee
- Report builder and PDF export
- Your choice of model service
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
Waspen is active on Mac through direct beta distribution and on Windows beta through the Microsoft Store.
Product and services work starts from data staying where it already lives.
Default product posture is quiet, explicit, and controlled by the operator.
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.