Know the number
before you ask.
Every service on this page ships with a starting price and a typical range. No forms to unlock bands, no mystery tiers. If the numbers fit, request a quote — we come back in 48 hours with a real number in writing.
production systems
across real operations
on a scoped quote
under one delivery system
Four rules we don't
bend on.
Pricing should reduce hesitation, not manufacture it. Here's how scope, fixing, and retainers actually work on our side of the table.
Starting prices are real
Every starting price on this page reflects the minimum sensible engagement — not a loss-leader or lead magnet. If the number doesn't fit the budget, the inquiry doesn't waste anyone's time.
Ranges cover real scope, not edge cases
Typical ranges map to the most common shapes of each engagement. Outlier scope — regulated environments, deep custom data, heavy integrations — gets called out in the proposal, not buried.
Fixed price once scope is clear
When requirements are defined enough, we fix the price. If discovery is still needed, we quote a paid scoping engagement first and credit it toward the build.
Retainers for work that compounds
Optimization, Google Ads, AI SEO, and support retainers start at $1k/mo and scale with complexity. One-time builds stay one-time; ongoing work stays ongoing.
AI & Model Training
Custom-trained models, retrieval systems, and LLM applications priced against data readiness, evaluation depth, and production targets.
Advanced AI Consulting
Roadmaps, architecture decisions, audits, and solution planning for ambitious AI programs.
Custom Model Training
Custom-trained models built around business data, accuracy goals, and production constraints.
LLM Application Development
Business-ready LLM interfaces, copilots, assistants, and internal tools built for daily use.
RAG Systems
Retrieval-augmented generation systems backed by vector search, document pipelines, and evaluation loops.
Computer Vision Solutions
Vision systems for inspection, detection, monitoring, and visual classification workflows.
MLOps and Model Deployment
Model packaging, serving, observability, lifecycle management, and production operations.
Data Pipelines for AI
Reliable ingestion, cleaning, transformation, and enrichment pipelines for AI systems.
Automation & Orchestration
Workflow automations, multi-system integrations, and voice infrastructure priced against approval logic and reliability demands.
Multi-LLM Orchestration
Systems that combine multiple models, providers, and workflows into one reliable stack.
AI Agents and Automation
Agentic workflows and automation systems that reduce manual work across operations and delivery.
AI SEO Systems
AI-led content, ranking, and search-growth systems built for sustained inbound acquisition.
Voice AI Solutions
Programmable voice systems for customer conversations, routing, campaigns, and reporting.
Software & Product Engineering
Scoped application and product engineering priced against surface area, integrations, and how much of the stack needs building.
AI Product Engineering
Full-stack AI product delivery across UX, APIs, infrastructure, deployment, and iteration.
Custom Software Development
Tailored internal tools, portals, dashboards, and business systems built around real workflows.
Custom Functionality Development
Feature extensions, integrations, workflow logic, and business-specific functionality for existing products.
App Development
Mobile and cross-platform applications with strong product thinking and production delivery.
Web, CMS & Growth
Conversion-first web, CMS delivery, and Google Ads execution priced against content structure and whether ongoing management is included.
Web Development
Modern web platforms, landing pages, portals, and marketing sites designed to convert.
CMS Services
Custom CMS builds, WordPress execution, content workflows, and maintainable publishing systems.
Google Ads Management
Campaign setup, landing-page alignment, conversion tracking, and ongoing optimization.
Work that compounds.
Some engagements ship once and stop. Others need steady iteration — optimization, paid media, support. Retainers exist for the second kind.
Bug-fix SLAs, uptime monitoring, small change requests. Best for teams that need a safety net without hiring internal.
Iteration cycles on shipped systems — evals, prompt tuning, pipeline refinement, model upgrades as the space moves.
Google Ads management, landing page iteration, AI-led content execution. Measured against pipeline, not impressions.
Questions buyers
actually ask.
The ones we hear before a contract gets signed. If yours isn't here, drop it in the quote request and we'll answer in writing.
Can pricing be fixed up-front?+
Yes — once scope is clear enough to de-risk both sides. When discovery is still needed, a paid scoping engagement comes first and gets credited toward the build.
What's the fastest path to a number?+
Submit a short quote request — we follow up within 48 hours with a real number, a scoping proposal, or a written recommendation on the right next step.
Do you offer retainers?+
Yes. Optimization, Google Ads management, AI SEO, and support retainers are the most common paths. One-time builds and retainers are priced separately.
Can one engagement span multiple services?+
Most engagements do. AI, software, web, and growth sit under one delivery system — fewer seams, tighter handoffs, faster shipping.
What about ongoing infrastructure costs?+
Model APIs, hosting, and third-party tools are billed through to the client at cost. We break these out explicitly in the proposal before kickoff.
Do you work with startups and agencies?+
Yes. Startups typically come in on the lower end of the bands; agencies engage us as a white-label AI/engineering partner with separate commercial terms.
Ready to move past
the guessing.
If scope is clear, request a quote — we turn it around in 48 hours. If the shape is still fuzzy, send a general inquiry and we'll come back with the right next step in writing.
Send a written quote request
Pick a service area, share enough context, and we'll email back a budget range and recommended next step — usually within one business day.