Services
AI, software, and growth services that work as one stack.
From custom model training to product engineering, web delivery, and Google Ads execution — each service is shaped to fit a specific business system, with transparent pricing and a clear path from problem to scoped engagement.
Browse by Service Category
Use these jumps to move directly into the section that matches the kind of work you are evaluating.
Where to start
Start with the category that matches your problem, compare service cards, jump to pricing, and use the quote path when the work is already in scope.
What Makes the Offer Coherent
This is not a random stack of unrelated services. Each area supports a business system: acquisition, operations, product delivery, or decision-making.
AI & Model Training
Custom model work, LLM applications, RAG systems, MLOps, and data foundations for businesses that need real production value from AI.
Strategy, architecture, or audit engagement
Advanced AI Consulting
Roadmaps, architecture decisions, audits, and solution planning for ambitious AI programs.
Typical Range
$2,500-$12,000
Starts at $2,500 with typical consulting engagements between $2,500 and $12,000.
Scoped build with optional ongoing optimization
Custom Model Training
Custom-trained models built around business data, accuracy goals, and production constraints.
Typical Range
$8,000-$60,000+
Starts at $8,000 with typical engagements between $8,000 and $60,000+ depending on data and evaluation depth.
Scoped application build
LLM Application Development
Business-ready LLM interfaces, copilots, assistants, and internal tools built for daily use.
Typical Range
$6,000-$35,000+
Starts at $6,000 with typical builds ranging from $6,000 to $35,000+.
Knowledge system or assistant build
RAG Systems
Retrieval-augmented generation systems backed by vector search, document pipelines, and evaluation loops.
Typical Range
$7,500-$30,000+
Starts at $7,500 with typical RAG system builds between $7,500 and $30,000+.
Model and pipeline build
Computer Vision Solutions
Vision systems for inspection, detection, monitoring, and visual classification workflows.
Typical Range
$10,000-$50,000+
Starts at $10,000 with typical computer vision projects between $10,000 and $50,000+.
Deployment and platform engagement
MLOps and Model Deployment
Model packaging, serving, observability, lifecycle management, and production operations.
Typical Range
$5,000-$25,000+
Starts at $5,000 with typical deployment and MLOps work between $5,000 and $25,000+.
Pipeline and integration build
Data Pipelines for AI
Reliable ingestion, cleaning, transformation, and enrichment pipelines for AI systems.
Typical Range
$4,000-$20,000+
Starts at $4,000 with typical pipeline work between $4,000 and $20,000+.
Automation & Orchestration
Workflow automation, agentic systems, multi-LLM coordination, AI SEO pipelines, and voice flows built for scale.
Integration-heavy project build
Multi-LLM Orchestration
Systems that combine multiple models, providers, and workflows into one reliable stack.
Typical Range
$10,000-$45,000+
Starts at $10,000 with typical orchestration work ranging from $10,000 to $45,000+.
Workflow automation build
AI Agents and Automation
Agentic workflows and automation systems that reduce manual work across operations and delivery.
Typical Range
$5,000-$25,000+
Starts at $5,000 with typical automation projects between $5,000 and $25,000+.
Project build with optional monthly optimization
AI SEO Systems
AI-led content, ranking, and search-growth systems built for sustained inbound acquisition.
Typical Range
$3,000-$18,000
Starts at $3,000 with builds typically between $3,000 and $18,000 plus optional monthly optimization.
Scoped voice infrastructure build
Voice AI Solutions
Programmable voice systems for customer conversations, routing, campaigns, and reporting.
Typical Range
$8,000-$40,000+
Starts at $8,000 with voice system projects typically between $8,000 and $40,000+.
Software & Product Engineering
Custom software, product builds, app development, and feature expansion work where maintainability and commercial fit matter.
Product build engagement
AI Product Engineering
Full-stack AI product delivery across UX, APIs, infrastructure, deployment, and iteration.
Typical Range
$12,000-$75,000+
Starts at $12,000 with product engineering work typically between $12,000 and $75,000+.
Custom build engagement
Custom Software Development
Tailored internal tools, portals, dashboards, and business systems built around real workflows.
Typical Range
$8,000-$80,000+
Starts at $8,000 with typical software builds ranging from $8,000 to $80,000+.
Feature extension or integration project
Custom Functionality Development
Feature extensions, integrations, workflow logic, and business-specific functionality for existing products.
Typical Range
$2,000-$20,000+
Starts at $2,000 with typical feature and integration work between $2,000 and $20,000+.
App build engagement
App Development
Mobile and cross-platform applications with strong product thinking and production delivery.
Typical Range
$12,000-$90,000+
Starts at $12,000 with typical app builds between $12,000 and $90,000+.
Web, CMS & Growth
Web platforms, CMS systems, and Google Ads execution designed to support acquisition, conversion, and operational clarity.
Website or web platform build
Web Development
Modern web platforms, landing pages, portals, and marketing sites designed to convert.
Typical Range
$4,000-$35,000+
Starts at $4,000 with typical web builds between $4,000 and $35,000+.
CMS build, migration, or extension
CMS Services
Custom CMS builds, WordPress execution, content workflows, and maintainable publishing systems.
Typical Range
$1,500-$15,000+
Starts at $1,500 with typical CMS work between $1,500 and $15,000+.
Monthly management with optional setup work
Google Ads Management
Campaign setup, landing-page alignment, conversion tracking, and ongoing optimization.
Typical Range
$800-$4,000/mo + ad spend
Starts at $800 per month, with typical management engagements between $800 and $4,000 per month plus ad spend.
Need help choosing the right service?
If the problem spans multiple systems, that is normal. The next step is usually a quote request or general inquiry so the scope can be shaped around the real business goal.