All services
Services
AI features
- Web
- API and rules
- Data
Writing, extraction, voice and automation inside your product, with providers behind one layer, fallbacks when one fails, and every call counted against a budget.
Who it is for
- Products that should write, summarise or answer for their users
- Teams drowning in documents that need reading and filing
- Businesses that want to know what each AI call costs
What you receive
- Generation
- Text, images and voice from the providers that do each best.
- Extraction
- Fields pulled from documents, invoices and messages into your data.
- One layer, many providers
- Switch or combine providers without touching the product.
- Costs under control
- Every call counted and charged against a budget or credits.
- Failure handled
- Timeouts, retries and a fallback provider when one goes down.
- Quality checks
- Outputs checked before users see them, and logs to improve them.
Projects that prove it
How the work runs
- UnderstandMap the business: who uses it, what data matters, which roles may do what.
- DesignData model, permissions, APIs and screens, agreed before code is written.
- BuildShort iterations with working software, tests and a staging environment.
- Ship and supportDeployment, backups, monitoring and the fixes that follow real use.
Common questions
Which AI provider do you use?
The one that fits each task. A product can use several behind one layer and change them later.
Will my data be used to train models?
We choose providers and settings that do not train on your data, and send them only what the task needs.
Tell me what you want to build.
A short description is enough to start: what the business does, who will use the system, and what is not working today.