AI product development
YORD builds AI products for teams that need a model feature running in production. The team defines the problem, chooses the models that fit it and designs the interface. YORD then builds, tests and ships the product to real users. One team of software and AI engineers builds the product and runs the growth work that follows.
What we build
- A scoped product definition with the user problem, the success measure and the limits of the first version
- Model selection, tested against your own example inputs
- Prompt, retrieval and tool logic connected to your data and systems
- A working interface for the people who will use the AI feature
- Guardrails for wrong, unsafe or off-topic output, with a fallback when the model fails
- Logging and an evaluation set, so output quality can be checked after each change
- Production deployment and handover notes for your team
Who this is for
- You have an idea for an AI feature or product and need a scoped first version
- You have a working prototype and need it production ready
- You want to add an AI feature to an existing product without rebuilding it
- Your model output is inconsistent and you need evaluation and guardrails
How it runs
Idea
We define the user problem, the first version and how you will judge output quality.
Design
We design the user flow and build an evaluation set of real examples before any product logic is written.
Build
We build the model layer, the product code and the guardrails, then score each change against the evaluation set.
Launch
We release to a small group of users first, watch the logs, then open the product to everyone.
Grow
We review real output with you and improve prompts, data and features from what users do.
Questions about this service
How much does an AI product cost to build?
The cost depends on the features, the data you bring and the systems the product must connect to. YORD sets the price once the scope is clear. The price comes with a list of what it covers, which you receive before any work begins.
How long does an AI product take to build?
The schedule depends on the scope. A feature that uses data you already have ships sooner than a product that needs new data pipelines or several integrations. YORD states the milestones and the first release date in writing, so you can check progress at each one.
How do you choose the AI model for a product?
The choice starts from the job the product must do. The team runs candidate models on your example inputs, compares answer quality, response time, data terms and cost, and recommends one in writing. The choice can change if your data or cost limits change.
How does YORD keep AI output accurate?
YORD builds an evaluation set from real examples and checks the output against it after each change. It adds guardrails for wrong or unsafe answers. When the model fails, the product shows a safe fallback response instead of an error.
Can an AI feature be added to a product we already run?
Yes. YORD starts with a review of the code and data you already have, then agrees how the feature connects to them. The team keeps the change contained, so the rest of the product keeps working while the feature is built. Ownership of the code, accounts and data is set out in the FAQ at /faq/.