AI solutions · in production, not in a demo

Custom AI Solutions that do real work, with people deciding.

For Quest Industries we built 48 AI operations into a new ERP. It reads RFQ packages and drawings, drafts estimates and checks purchase orders, and a person reviews anything a customer sees. Its V.P. of Operations called the first quote “like 80% faster”.

Talk to an engineerSee the client stories
baytechconsulting.comai.operations
$ run rfq.classify
› plain code first, facts handed to the model
› mold autofill on the stronger model
› every decision written to the AI trace
› cost tracked per operation, model and user
✓ sent only after a person reviews it

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  • ~80%faster first quote, in the V.P. of Operations' words: “like 80% faster”Quest Industries
  • 3apps delivered on time and under budget, with AI in the workflowPacific Southwest Container
  • 48named AI operations, each on a chosen modelQuest Industries
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How the work flows

How we put AI to work in a real system

The rules we built Quest Industries' AI-assisted ERP on, step by step. Every one is running in production today.

  1. 01

    Step 1 of 7

    Start where the hours go

    We begin with the work people do by hand. At Quest, a mold quote took 35 to 45 minutes of hand work, and some jobs only the owner could quote, on paper.

    What we built

    A study of the old systems: 125 automations read, and each one kept, rebuilt or retired.

    Quest Industries

  2. 02

    Step 2 of 7

    Code first

    Plain code works out everything it can and hands the facts to the model. Numbers that land in stock or money are read by code, never retyped by a model.

    What we built

    A C# estimating engine that recalculates after every AI decision.

    Quest Industries

  3. 03

    Step 3 of 7

    The right model for each task

    A fast model maps materials and CAD dimensions; a stronger one makes the engineering calls: mold type, cavitation, gating, press.

    What we built

    48 named AI operations, each on a chosen model, and re-routable by an admin at runtime.

    Quest Industries

  4. 04

    Step 4 of 7

    Read the messy inputs

    Drawings, datasheets, 3D CAD, purchase orders, packing slips and supplier quotes become structured data your system can use.

    What we built

    Vision reading of drawings, and an intake that reads RFQ packages of up to 69 parts and 95 documents into one brief.

    Quest Industries

  5. 05

    Step 5 of 7

    People decide

    Anything sent to a customer is reviewed by a person, and the autonomy settings ship switched off.

    What we built

    Review and pre-send checks, and an AI trace of every decision that staff can read.

    Quest Industries

  6. 06

    Step 6 of 7

    Know what it costs

    AI spend is tracked per operation, per model and per user, so you see exactly what the AI costs.

    What we built

    Cost tracking by day, model and task. Deep extraction costs a few dollars per RFQ, far less than an engineer's time.

    Quest Industries

  7. 07

    Step 7 of 7

    Built with AI, too

    Our engineers work with AI coding agents, under review, which is how a system this size reached real use in about five months.

    What we built

    Two Baytech engineers with AI coding agents: 1,875 commits from April to September 2026.

    Quest Industries

Client stories

AI we've built, and built with

AI inside a client's product, and AI in how we deliver.

Case file · AI-assisted ERP for a mold and machining shop

Quest Industries

How we integrate AI

Before

Four or five systems that were never built to work together: JobBOSS, Synergy, Excel workbooks and paper. A mold quote took 35 to 45 minutes of hand work.

What we built

  • AI RFQ intake
  • Vision reading of drawings
  • Two-stage estimate autofill
  • AI purchase order review
  • AI trace and cost tracking
  • Claude Agent SDK extraction
  • ~80%faster first quote, in the V.P. of Operations' words: “like 80% faster”
  • 48named AI operations, each on a chosen model
  • 100,000+legacy quotes recalculated to prove the pricing
I trust you guys after working with you for a while ... You're not trying to upsell us or underplay something 'cause you don't feel like doing it.
Chance Hoover, V.P. of Operations, Quest Industries

Every number and quote is from the client's published case study or review.

AI Solutions That Drive Real Business Value

We don't just implement AI—we build custom solutions that integrate seamlessly with your existing systems and deliver measurable results from day one.

Intelligent Automation

Automate complex workflows, document processing, and decision-making with custom AI agents that learn and adapt to your business processes.

Custom AI Chatbots & Assistants

Deploy intelligent conversational AI that handles customer support, lead qualification, and internal knowledge management with human-like understanding.

Predictive Analytics

Leverage machine learning to forecast trends, predict customer behavior, and optimize operations with data-driven insights.

Computer Vision

Build applications that can analyze images, videos, and documents to extract insights, detect patterns, and automate visual inspections.

AI-Powered APIs

Integrate AI capabilities into your existing applications with custom APIs that provide natural language processing, sentiment analysis, and more.

AI System Integration

Seamlessly integrate AI tools like OpenAI, Claude, and Google Gemini into your existing tech stack for maximum efficiency and ROI.

What we build with

The tools behind everything we build

AI works alongside our engineers on every project, on a platform we run ourselves. Here's the stack, in use.

AI

  • Claude Code · writing and reviewing code with our engineers
  • Claude Agent SDK · running AI agents inside client systems
  • Anthropic Claude · reading documents and drafting estimates
  • OpenAI · powering assistants and data extraction
  • OpenRouter · switching each AI task to the right model
  • Fireworks AI · serving open-weight models fast
  • Groq · answering in real time
  • Open-weight models · running models we control

Platform

  • Kubernetes · running the apps we host
  • Harvester · Baytech Cloud's servers, as one pool
  • Argo CD · shipping every release
  • Rancher · managing our clusters
  • Longhorn · keeping copies of every disk
  • Docker · packaging every service
  • GitHub Actions · building and testing every change
  • Sentry · catching every error
  • AWS · hosting on Amazon Web Services
  • Azure · hosting on Microsoft Azure
  • Terraform · building servers from code

Languages and frameworks

  • C# and .NET · back ends and business logic
  • TypeScript · web apps, front to back
  • Python · AI and data pipelines
  • Angular · large business systems
  • React · fast public sites
  • Next.js · this website
  • .NET MAUI · offline phone and tablet apps
  • PostgreSQL · our default database
  • SQL Server · enterprise data
  • Redis · fast caching

Runs on

  • Linux
  • Windows
  • macOS
  • iOS
  • Android
  • The web

And many more. We pick the right tool for each job.

Why Choose Baytech for AI? Experience. Innovation. Results.

We combine deep technical expertise with business acumen to deliver AI solutions that actually work in the real world and drive measurable ROI.

AI-First Development

Our team uses AI tools daily in development, giving us deep practical experience in what works and what doesn't in real-world applications.

Business-Focused Approach

We don't build AI for the sake of AI. Every solution is designed to solve specific business problems and deliver measurable value.

Rapid Deployment

Our agile methodology and AI-accelerated development process means you see results in weeks, not months or years.

Enterprise Security

All AI implementations include enterprise-grade security, compliance frameworks, and data protection to meet your industry requirements.

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