Ardent Layer
A three-day look at one AI feature
Have an AI feature in mind? Let’s work out how to build it.
Maybe you want better search in your product, answers from your own documents, or a process that spans several systems. Show us the software and data it needs to work with. We’ll map a practical first version.
Three business daysBuilt around your softwareOne feature at a time
ONE EXAMPLEAI inside an existing product
We build the connections in your application, so the feature fits where people already work.
RAG + VECTOR SEARCH×MODEL APIs×LANGCHAIN×BACKEND INTEGRATIONS×PRODUCTION DEPLOYMENT
SOUND FAMILIAR?
The demo works. Now it has to work in your product.
Your app has data the model needs to use.Answers need to be grounded in your own documents.The feature has to respect permissions and business rules.You need to know how it performs after launch.
WHAT YOU GET
Know what to build first.
After three days, you’ll have a clear picture of the feature, the systems it needs and how we’d test it.
How it fits your product
We look at the user journey, your code and the systems the feature has to connect to.
Where the model fits
We show what the model should do, what your code should check and where people need control.
What it would take
You get a clear outline of the code, data, security and integrations a working version would need.
A first test
We suggest one small build and agree on how to measure quality, speed and cost before launch.
WHERE THIS CAN HELP
Start with the feature your users need.
We look at how your product works today, then choose the right model and architecture for the job.
Features in your product
Add search, assistants or other AI features directly to the application your customers use.
Answers from your documents
Use RAG and vector search to find the right source material before a model answers.
Work across your systems
Connect models to your APIs, data stores and business rules for tasks that span more than one tool.
HOW WE BUILD
We work in your codebase.
That can mean using LangChain to coordinate model calls, building retrieval on a vector database, connecting to your APIs and data stores, and adding the tests and monitoring that make an AI feature dependable in production.
THE THREE-DAY REVIEW
$350
If we go on to build a pilot within 30 days, this comes off the price.
- A 45-minute call about the feature
- A look at your app, data and examples
- A written plan for a first build
- A 30-minute call to talk it through
GET IN TOUCH
Tell us what you want to build.
Describe the feature and the software it needs to work with. We’ll let you know whether the three-day review is a useful place to start.
GOOD TO KNOW
A few things people ask us.
Do our files need to be tidy first?
No. We’ll look at what you have and tell you what would need cleaning up before a working system could use it.
Do we have to use a particular AI provider?
No. We’ll recommend tools that fit the feature, your privacy needs and your budget.
Can it run on our own servers?
Yes. We can look at options for running it on your infrastructure or in a private cloud.
What if AI is not the right fit?
We’ll say so and suggest a simpler way to build the feature if we can.