01 — GENERIC ANSWERS
It doesn't speak your language.
Your part numbers, clause library, clinical shorthand, and internal process names are invisible to a model trained on the public web.
Custom AI models for small & mid-sized businesses
General AI knows the average of everything. Yours should know your business.
xbar.io builds domain-specific AI models trained on your documents, data, and hard-won expertise — then deploys them where you choose: your cloud, your servers, or a box in your back office.
- You own the weights
- Runs on-prem or private cloud
- Our team is US-based
Off-the-shelf AI was built for everyone. That's the problem.
Most SMBs have tried a chatbot and hit the same three walls. A focused model gets you past all of them.
02 — DATA EXPOSURE
Your data leaves the building.
Customer records and proprietary know-how shouldn't travel to a third-party API just to get an answer back.
03 — RUNAWAY COSTS
The bill grows with every success.
Per-token pricing punishes adoption. A small model you own runs on modest hardware with predictable costs.
What we build
Right-sized models, shaped around what your team already knows.
Fine-tuned domain models
We adapt compact open-weight models to your terminology, tone, and tasks — classification, extraction, drafting, triage — so they answer like a seasoned employee, not a search engine.
Local & private deployment
Your model runs on your infrastructure — on-prem servers, a private cloud tenant, or edge devices — so sensitive data never has to leave your control.
Knowledge-grounded assistants
We pair your model with retrieval over manuals, SOPs, contracts, and tickets, so answers cite your own sources and stay current as documents change.
Evaluation you can read
Every model ships with a test set built from your real cases and a plain-English scorecard, so you know exactly where it's strong and where a human stays in the loop.
How it works
From messy folders to a model you own.
No data science team required. We work alongside your subject-matter experts and handle everything technical.
- 01
Scope
We pick one high-value task, define what "good" looks like, and audit the data you already have.
- 02
Prepare
We clean, de-identify, and structure documents and records, and capture expert examples from your team.
- 03
Train & test
We fine-tune a right-sized base model and measure it against your real cases — not generic benchmarks.
- 04
Deploy
We install it where you choose and connect it to the tools your team already uses.
- 05
Improve
Optional ongoing care: monitoring, retraining on new data, and expanding to your next use case.
Why small & local
Bigger isn't better. Better fit is better.
| Feature | General-purpose AI API | Your xbar.io model |
|---|---|---|
| Knows your domain | Only what you paste into each prompt | Trained on it, built in |
| Where your data goes | A vendor's servers | Stays in your environment |
| Cost model | Metered per token, rising with usage | Fixed build cost, predictable hosting |
| Ownership | Rented; changes when the vendor changes | You own the weights and the pipeline |
| Works offline | No | Yes, if you need it to |
Use cases
If your expertise lives in documents and people's heads, it can live in a model.
Legal & compliance
Contract review against your playbook
Flag non-standard clauses using your firm's positions, not generic ones.
Healthcare practices
Intake, coding & documentation support
Structure notes and referrals in your specialty's vocabulary, hosted privately.
Manufacturing
A shop-floor expert on every shift
Troubleshoot equipment from your own maintenance logs and manuals — even offline.
Insurance & finance
Claims and document triage
Classify, extract, and route submissions the way your senior adjusters would.
Field & home services
Quotes and diagnostics in the truck
Help techs price and diagnose jobs using your past work orders and parts catalog.
Professional services
Proposals in your house voice
Draft RFP responses and reports from your library of past wins.
Backed by Fractional Coders
An AI lab's craft, with a small business's flexibility.
xbar.io is the model-building practice of Fractional Coders LLC, the agile tech partner that gives growing businesses on-demand access to vetted, US-based technologists. That means data engineers, ML specialists, and integration developers join your project only when you need them — no long-term contracts and no overhead.
Visit fractionalcoders.comUS-based team
Vetted professionals who work your hours and understand your market.
No lock-in
You keep the model, the data pipeline, and the documentation.
Full-stack delivery
Data prep, model training, apps, and workflows under one roof.
Scales with you
Start with one model; add capacity as new use cases prove out.
Engagements
Start small. Prove value. Then scale.
Pilot
Starting at $10K
Prove it on one task before you commit.
- Use-case scoping & data audit
- Prototype model on a sample of your data
- Evaluation scorecard & go/no-go report
Build
MOST POPULAR
Starting at $30K
A production model, deployed and handed over.
- Everything in Pilot
- Full data pipeline & fine-tuned model
- Deployment on your infrastructure
- Integration with one existing tool
- Documentation & team training
Build + Care
Custom
For teams that want it to keep getting smarter.
- Everything in Build
- Monitoring & quality reviews
- Scheduled retraining on new data
- Fractional ML engineer on call
FAQ
Questions we hear.
How much data do we need?
Less than most people expect. Many useful models start from existing documents plus a set of expert-reviewed examples. Our scoping call tells you honestly whether you have enough.
Do we need our own data scientists or GPUs?
No. We handle training on our side. Small models are designed to run on modest hardware, and we'll recommend the simplest setup that meets your needs.
Who owns the model?
You do — the trained weights, the data pipeline, and the evaluation set are delivered to you.
How do you handle sensitive data?
We can de-identify data before training, work inside your environment, and deploy fully on-prem. We'll align the approach to your regulatory requirements during scoping.
Why not just use a big AI model with good prompts?
Sometimes that's the right answer, and we'll tell you. A custom model wins when you need consistent domain accuracy, data privacy, offline use, or costs that don't climb with usage.
Find your x̄.TM
Book a free 60-minute scoping call. We'll help to identify your highest-value use case, and tell you straight whether a custom model makes sense.
- No obligation, no sales script
- A written summary after the call
- A recommendation, even if it isn't us