studio services

Start with clarity. Build only what earns its place.

Get practical AI guidance without committing to a major project. AlphaBytez can help you understand the landscape, assess a real opportunity, or design and build a private system when the case is strong.

priced offers

Choose the amount of help you need now.

The Clarity Session is $650 through December 31, 2026, then returns to its standard $750 price. Larger work is scoped around the system, data boundary, and operating reality in front of us.

$ clarity-session$650 promo ยท normally $750

AI Clarity Session

Introductory pricing is available through December 31, 2026. This advisory engagement helps business owners and entrepreneurs understand where AI fits, what to avoid, and what a sensible next step looks like.

  • Tailored preparation
  • 90-minute working session
  • Personalized AI Clarity Brief
  • 30-minute follow-up
$ assess-readiness$1,500-$2,500

AI readiness assessment

A focused review of data boundaries, workflow fit, deployment constraints, and practical risk so the next AI move is grounded before budget goes into a build.

  • Readiness brief
  • Risk and dependency map
  • Recommended pilot path
$ deploy-private-ai$5,000-$15,000

Private AI deployment

A scoped implementation for private AI workflows, protected search, model routing, internal tools, or deployment hardening in an environment you control.

  • Working private AI path
  • Deployment documentation
  • Operational handoff
$ managed-careFrom $500/mo

Managed care retainer

Ongoing support for shipped systems: monitoring review, small improvements, dependency checks, deployment guidance, and a steady technical partner.

  • Monthly support lane
  • System health review
  • Priority advisory time

engagements

Focused services for systems that cannot be hand-wavy.

$ plan-private-ai

Private AI architecture

Model selection, data boundaries, identity, deployment shape, governance, and pilot-to-production planning.

$ build-secure-app

Secure application development

Internal tools, operational dashboards, product workflows, and automation surfaces built around real constraints.

$ deploy-harden

Deployment and hardening

On-prem, private cloud, and air-gapped deployment paths with security posture designed into the system.

$ connect-search-agents

Private search and agent workflows

Protected document search, workflow orchestration, and task-specific AI systems for operational teams.

$ monitor-operate

Monitoring and operations

Waspen-style monitoring, incident workflows, observability, rules, and system feedback loops.

$ review-modernize

Technical due diligence

Architecture reviews, AI readiness checks, migration planning, and practical modernization paths.

[fit]

technical founders

[fit]

regulated teams

[fit]

internal platform groups

[fit]

AI product owners

next action

Bring the architecture, prototype, risk, or blank page.

We can start from a specific product need, a private AI question, a Waspen workflow, or a system that needs the same boundaries we build into our own products.

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