// Salt Lake City — AI systems for regulated industries

AI that fits
how you already work.

We mix custom AI into your existing operations — trained on your data, running on your hardware, optimized for your business. Not a product you reshape your workflow around. A system built around the workflow you already have.

4 weeks
to live system
168 hrs/wk
always running
0 bytes
sent to cloud
The Champloo Philosophy

Chanpurū — to mix things together.

The word “champloo” comes from the Okinawan “chanpurū” — a stir-fry where every ingredient keeps its identity but the combination becomes something better than any piece alone. That’s what we do with AI.

We don’t hand you a product and tell you to change how you work. We study your operations, learn your language, and mix AI into the places where it makes everything run faster, sharper, and more efficiently — without breaking what already works.

素

Your ingredients

Your team, your data, your workflows, your compliance requirements. These don't change. They're the foundation.

火

Our heat

Fine-tuned AI models, engineered pipelines, deterministic validation. Purpose-built for your specific operations.

合

Better together

The same team, doing what they do best — with AI handling the repetitive, time-consuming work that slows everything down.

The Problem

Off-the-shelf AI optimizes for the software. Not for you.

⊘

Cloud AI is a liability

Sending borrower data, patient records, or legal documents to third-party servers isn't just risky — in regulated industries, it's a compliance violation waiting to happen.

◇

Generic tools, generic results

Copilot and ChatGPT are built for everyone — which means they're built for nobody. Your mortgage workflows, production schedules, and contracts need AI that speaks your language.

△

Enterprise AI ignores you

Microsoft and Salesforce build for Fortune 500. If you have 8 employees and a real operational bottleneck, nobody's building for you. Until now.

How It Works

Four weeks from handshake to live system.

01

We learn how you work.

We shadow your operations, collect data — conversation logs, documents, workflows. We learn the language your team speaks and map the bottlenecks. Meanwhile, hardware gets assembled and configured.

02

Fine-tune. Integrate. Constrain.

Your data trains a model that understands your business. Twilio, DocuSign, weather APIs — whatever your operations need. Deterministic validation ensures the AI can't fail silently.

03

Dashboard. Testing. Edge cases.

Your team gets a clean interface to see everything the system produces. We run hundreds of synthetic scenarios. We find every edge case and fix it before you go live.

04

Shadow mode. Then live.

The AI runs alongside your team for 3-5 days. We compare results. Your team validates. Final tuning. Then it goes live — with monitoring from day one.

Engineering Philosophy

The model is the least important part.

We don’t trust the AI — we engineer systems around it. Structured output enforcement, deterministic validation, finite state machines, full audit trails. The AI handles natural conversation and data extraction. Everything else is locked down with code that doesn’t hallucinate.

// Every model response passes through validation
input → LLM → JSON validator → FSM state check → deterministic scoring → output

// Sample structured output — the model returns this every time
{
"reply": "Great, and what’s your current interest rate?",
"extracted": { "balance": 340000, "rate": null },
"confidence": 0.95,
"next_state": "COLLECTING_RATE"
}
Industries

Built for businesses where compliance isn’t optional.

Mortgage & Lending

ACTIVE CLIENT

AI handles lead qualification via SMS around the clock — collecting balance, rate, term, address, and value so your loan officers focus on the leads that are actually ready. Freddie Mac AI governance compliant.

24/7 lead qualification

Video & Photo Production

ACTIVE BUILD

One platform for every moving piece of a shoot — crew, cast, travel, documents, budgets, accounting. AI reads receipts, generates ops orders, and flags when jobs trend over budget.

Full shoot lifecycle

Corporate Law

IN DISCUSSION

AI drafts contracts from your firm's own executed agreements. Multi-pass validation checks every clause, date, and party name. Full version history. Attorney-client privilege preserved by architecture.

On-premise contract generation

Healthcare

ACCEPTING CLIENTS

Patient intake, scheduling, triage — streamlined with AI that runs on local hardware. HIPAA compliant by design, not by promise. No patient data ever touches a third-party server.

HIPAA by architecture
The Difference

Off-the-shelf software vs. a system built for you.

Generic SaaS Tool
Built forEveryone (nobody)
Speaks your industry languageNo
Data locationTheir cloud
Learns your workflowsYou learn theirs
Regulatory audit trailMaybe
Adapts when your process changesFeature request
champloo.ai System
Built forYour operations
Speaks your industry languageFine-tuned on it
Data locationYour hardware
Learns your workflowsTrained on them
Regulatory audit trailBuilt into architecture
Adapts when your process changesWe retrain
24/7
Operations coverage
Your AI system doesn't take breaks, call in sick, or need to be trained twice on the same process.
100%
Data sovereignty
Every byte stays on your hardware. No cloud dependencies. Full audit trail for regulatory review.
4 wks
Time to live
From handshake to working system. Not 4 months. Not 4 quarters. Real results, fast.
Pricing

Priced against the problem,
not the hours.

Every Champloo engagement is scoped to the workflow being replaced and the value of replacing it. Discovery determines what gets built. Build determines what gets paid. No tier card, no upsell ladder, no monthly fees set in stone.

How we structure pricing

Three components, every engagement. The structure stays the same. What changes is scale.

01

Build

One-time fee, scoped during discovery, paid against delivery milestones. Covers the full system: fine-tuned model, integrations, validation layer, dashboard, deployment.

02

System

Monthly fee. Covers infrastructure, monitoring, scheduled maintenance, security updates, model tuning on cadence, and a defined cap of support hours. Scoped during discovery.

03

Overage

Hours beyond the monthly cap billed at a defined rate, in 30-minute increments. New features and new workflows scoped as change orders, not folded into support.

Engagement scale

Scope scales with the size of the operation we’re building inside. Build anchors below are floors — discovery determines the final number.

1–30 employees
One workflow. One team. Built fast, deployed clean.
Build
from $30K
Discovery sets the final scope
System fee
Monthly fee covers infrastructure, monitoring, scheduled maintenance, and a defined number of support hours. Sized to the system during discovery.
Inside the build
  • Single fine-tuned workflow, fully scoped
  • Core integrations — CRM, comms, one industry system
  • Custom dashboard and audit trail
  • 4-week MVP, shadow test, then live
  • Quarterly review built into the engagement
Most engagements
30–200 employees
Multiple workflows. Deeper integrations. The system becomes the backbone.
Build
from $75K
Discovery sets the final scope
System fee
Monthly fee scaled to system complexity, integration depth, and operational stakes. Includes extended support hours and faster response windows.
Inside the build
  • Multiple workflows or one high-volume workflow
  • Multi-system integration with role-based access
  • Advanced dashboard, monitoring, and reporting
  • Extended onboarding and team training
  • Quarterly performance review and tuning cycle
200+ employees
Custom builds. Multi-system integration. Strategic partnership pricing.
Build
Talk to us
Scope determines price. Discovery determines scope.
System fee
Monthly fee structured to the engagement. Includes dedicated support, defined SLA, and integration with internal teams. No published number — every engagement is scoped from zero.
Inside the build
  • Multi-location or multi-system rollouts
  • Regulated environments with audit requirements
  • Custom infrastructure, including on-premise builds
  • Integration alongside existing internal teams
  • Defined SLA and dedicated point of contact

What we don’t do

We don’t sell software seats. We don’t bill by the hour. We don’t run open-ended retainers that drift into unprofitable accounts. We don’t price against our cost — we price against the value of the workflow being replaced.

If we can’t justify the build with concrete ROI math against the metric you’re trying to move, we don’t take the engagement. The system has to pay back, or it shouldn’t get built.

Ready when you are.

Discovery call is 30 minutes. We’ll walk through the workflow, the math, and what a build looks like for your operation.

FAQ

Common questions.

We build AI that mixes into your existing operations — not software you reshape your business around. Every system is fine-tuned on your data, deployed on your hardware, and engineered for how your team actually works. Generic AI tools optimize for the software. We optimize for you.

4 weeks from data handoff to live system. Week 1: we learn your operations and set up hardware. Week 2: fine-tuning and integrations. Week 3: dashboard and testing. Week 4: shadow mode alongside your team, then go live with monitoring.

Regulated industries where data privacy and compliance matter — mortgage lending, corporate law, healthcare, and production management. We specialize in businesses with 5-30 employees that are big enough to have real operational bottlenecks but small enough that the owner makes the decision.

Yes. All AI models run on hardware physically located in your office. No cloud APIs. No third-party model training on your data. Full conversation logs and scoring audit trails are stored locally for regulatory review. This isn't a feature — it's the architecture.

Every AI response passes through a JSON validator and deterministic rules engine before reaching anyone. The model never acts unsupervised. When the validator catches an issue, it falls back to a templated response. Every failure is logged and becomes training data for the next version — the system gets smarter over time.

Qwen 2.5, Llama 3.3, Mistral, and DeepSeek — whichever best fits your use case. All run locally on consumer-grade GPUs. Fine-tuned on your data using QLoRA. No API costs, no vendor lock-in, no dependency on OpenAI or Google.

The opposite. We build AI around your existing workflows, not the other way around. Your team keeps doing what they do — the AI handles the repetitive, time-consuming parts that slow things down. Shadow testing ensures everything works before anything changes.

Absolutely. Start with the free AI assessment on this page — it takes 90 seconds and tells you where AI can optimize your specific operations. Then we'll walk you through the architecture and show you a working system.

Ready to optimize?

Take the 90-second AI assessment. We’ll show you exactly where AI fits into your current operations — and what it’ll do for your efficiency.