Customer support
Classify tickets, route requests, and draft replies with a model trained for your support workflow.
Calculate support AI savingsCUSTOM AI MODELS FOR BUSINESSES
We build custom AI models that cost 90% less to run.
Already using AI for your business? We build and operate a specialized model for your specific task, designed to deliver the same quality as leading AI models at one-tenth of the inference cost.
No separate development or training fees. Just pay for the AI you use.
60-day delivery guarantee · Agreed performance standards · Money-back guarantee
Illustrative monthly inference cost
Frontier model$10,000per month
Your specialized model$1,000per month
Potential savings$9,000/mo
Illustrative example, subject to an agreed task, quality benchmark, and inference-cost scope.
WHAT YOU GET
A specialized model.
For work you already do.
Using your proprietary data and examples, replace a general-purpose model with one trained for your specific business task. Typedesk handles development, optimization, and operation. You use the model for the workload it was built to perform.
TODAY
One model for everything.
Broad capabilities, even when you only need one repeatable task.
WITH TYPEDESK
Your model for your task.
Trained for the job. Evaluated against your quality bar. Operated by us.
Custom model developmentOptimized inferenceOngoing optimization
WHO IT’S FOR
Repeatable work.
Significant AI spend.
For businesses already processing requests, documents, or structured-data tasks with AI. If the same type of work happens thousands of times, a specialized model may make the economics better.
Document extraction
Turn invoices, forms, or documents into the fields your workflow needs.
Request classification
Recognize intent, assign categories, or route requests consistently.
Structured-data tasks
Generate or transform structured outputs for a defined business process.
Potential use cases, not claimed customer deployments.
A STRONG FIT WHEN
You have a repeatable task, proprietary data with examples of inputs and expected outputs, a measurable quality bar, and meaningful inference spend.
START WITH GENERAL-PURPOSE AI WHEN
You’re still exploring AI, usage is low, or your tasks change too often to define a stable benchmark.
THE ECONOMICS
Same task. Same quality.
1/10th of the cost.
Your trained model delivers the same task quality at 1/10th of the inference cost of a frontier model. For every $10 spent on the frontier model, spend $1 on yours—and keep $9.
$10,000/ month
FRONTIER MODEL
$10,000/ month
10 units of spend
YOUR TYPEDESK MODEL
$1,000/ month
1 unit paid · 9 units saved
90%LESS MODEL SPEND
BACK IN YOUR BUDGET$9,000 / month$108,000 in annual savings
Same task.
Same quality bar.
Same quality bar.
Illustrative inference-cost comparison between a frontier model and your trained model, not a quote or measured benchmark. Our guarantee: your trained model meets the frontier-model quality bar on your specific task at 1/10th of that model’s inference cost. The task, baseline, evaluation criteria, and cost scope are defined for your engagement.
HOW IT WORKS
You define success.
We deliver the model.
Your proprietary data and task examples come first. Together, we set measurable quality standards. We handle the training and infrastructure work, then validate the result against the agreed benchmark.
Provide your data and examples.
Share your proprietary data, including example inputs and expected outputs for your task. We use these to agree on the quality standards, current-model baseline, and inference-cost comparison.
Build and optimize.
We adapt a supported open-weight model to your task and optimize its training and inference.
Validate and run.
Evaluate against the agreed standards, then use your inference credits to run the working model.
Under the hood: open-weight models · post-training · optimized inference
QUALITY & PROOF
Quality measured
on your task.
Use your proprietary data and task examples to agree on performance standards. Compare the trained model with your baseline on the same evaluation. The River AI example below shows what task-specific training can achieve; it is external evidence, not a Typedesk customer result.
TASK ACCURACY + INFERENCE COST
More accuracy. Less overhead.
Trained open-weight models Frontier models← Lower cost · Higher accuracy ↑
SELECTED MODEL
Task accuracy
Cost / question ≈
vs GPT-6 Astra Pro · max
Arcwise-Plat-SQL · 498 questions. OpenRouter list prices as of September 29, 2026, without caching. Costs are approximate readings from the River AI chart, not live prices or Typedesk quotes. Accuracy values are from the supplied River AI example. Select a point or use Tab and Enter to inspect it.
Open-weight modelsFrontier baselineArcwise-Plat-SQL · 498 questions
0255075100%
GPT-6 Astra Pro · max
88.8%
Select a model to inspect its gain. Values transcribed from the River AI chart. These are River AI results, not Typedesk results; performance depends on the task, data, and evaluation. “Before” uses the base model at 8,192 tokens per turn; “after” is after reinforcement learning.
TERMS & GUARANTEE
No development bill.
Just inference credits.
You pay $0 for building, post-training, and optimizing your model. Your payment buys inference credits to use the model. We take on the work and the risk.
YOUR COST FOR THE WORK
$0Build · Post-train · Optimize
Custom model developmentIncludedPost-training & fine-tuningIncludedInfrastructure & optimizationIncluded
THE ONLY THING YOU PAY FOR
Inference credits.
Prepay for credits to run your custom model. We handle model development, training, and infrastructure.
If the model doesn’t meet your quality bar, we refund your inference credit payment.
60DAYS
OUR DELIVERY GUARANTEEA working model in 60 days.
A working model in 60 days.
Or your money back.
A model that meets your quality bar—or a refund of your inference credit payment. The risk is on us.
GOOD QUESTIONS
Before we build.
Will every business save 90%?
The cost promise applies to an agreed task, quality benchmark, and inference-cost scope. It is not a universal claim across every task or every part of your AI budget. Development and training have no separate fee; inference is paid through prepaid credits.
How do you define “same performance”?
Performance on your specific task, measured against the agreed leading-model baseline using the same evaluation. A specialized model is not expected to match a general-purpose model on every possible task.
What happens if the model doesn’t work?
We commit to a working model that meets your quality bar within 60 days. If it does not meet that commitment, we refund your inference credit payment.
What data would we need to provide?
You need to provide your proprietary data, including representative inputs and examples of the expected outputs. These are required to train and evaluate your specialized model. Data access and handling are confirmed for your engagement before work starts.
Where is the model hosted, and how do we deploy it?
Typedesk operates the model. The hosting setup and how it connects to your workflow are project-specific details to confirm during scoping.
Who owns the trained model?
Model ownership, access to weights, and licensing terms need to be defined in your engagement agreement. The homepage does not establish those terms.
Is there a minimum workload or commitment?
A repeatable workload with significant inference spend is the strongest fit. Minimum usage and credit commitments depend on the task and need to be confirmed when evaluating your project.
YOUR NEXT STEP
What could your
AI workload save?
Explore the economics, then prepare a brief for your specific task.