Accounting
From invoice to completed fields
An accountant adds the day’s invoices. The app reads suppliers, dates, amounts and line items, fills in the system and flags unclear details for review.
Less retyping. More time to check. AI development · built to order
AI App Development and AI Agents
Less retyping. More work done.
We build AI solutions that process documents, find answers and take repetitive tasks off your team’s hands.
f.FolioIncoming documents
NOREL
Invoice № 0001842
To: AvenoraLuma Mini × 6€534.00
Delivery€12.00
Total€546.00
Reference: furnishings
✓ READ✓ Details extracted
Ready for review.
- Supplier
- Norel ✓
- Invoice number
- 0001842 ✓
- Amount due
- €546.00 ✓
- Expense category
- Furnishings? ! Please confirm the category
The retyping is done.You check what matters.
sound familiar?
We hear it often.
We retype every invoice by hand.
One answer is buried across dozens of folders.
Product descriptions are always behind.
Every meeting creates another pile of work.
where it helps
Which task would you take out of your day?
From an accounting firm to an online store: AI earns its place by getting useful work done.
Teams and administration
Answers from company procedures
A new colleague asks how to claim travel expenses. The assistant finds the policy and points to the relevant passage.
Colleagues find answers without interrupting the team. Online stores
Search with a photo or your own words
A customer uploads a photo or asks for a lamp for a small desk. Your store finds suitable products in its own catalogue.
A shorter path from an idea to a product. Catalogues and export
Product copy in 5 languages
Your team adds a new collection’s specifications. The system prepares descriptions in your brand voice in 5 languages, ready for editorial review.
New products reach each market sooner. Sales and real estate
Turn a call into the next step
After a customer call, a colleague gets a summary, requirements and agreed actions. Confirmed details are saved against the deal.
Commitments stay visible after the call. Logistics
From paperwork to a ready shipment
An operator adds transport documents. AI extracts addresses, cargo and deadlines, compares the details and highlights what is missing.
Catch discrepancies before dispatch. Education
Help with the lesson at hand
A learner asks about an assignment. The assistant explains using the course materials and points to the relevant part of the lesson.
Support between classes. Your software product
An AI feature worth coming back for
A user turns notes into a finished document or creates a product image inside your app. The result arrives where they already work.
A useful new capability in your own product.how it works
From an invoice to completed fields
People handle the decisions. The application takes care of the repetitive part.
- 01
Add the file
An invoice, contract or document from your inbox.
- 02
AI reads what matters
Places the information in the right fields.
- 03
Review unclear details
One missing detail does not hold up the whole document.
- 04
Keep work moving
Confirmed data goes into your existing system.
company knowledge, at hand
The answer comes with the passage behind it.
A new colleague can find the travel policy without asking three people. The source stays one click away.
f.Folio / Team assistant
How do I claim travel expenses?
FOUND IN YOUR DOCUMENTSKeep the receipts. Add the report.
Attach your receipts and travel report to the expense request. Here is the relevant part of the policy:
Travel policy / section 4Travel policy.pdf · p. 3Submit the travel report and supporting receipts within 5 working days of returning.
what changes for you
The documents are processed. Your team checks what matters.
- Documents no longer wait to be retyped.
- Each answer links to its source.
- Your team reviews the decisions that matter.
scope and price
Start with one valuable task.
Show us the work that slows you down. We choose a first task, build a working version, test it with your team and launch it with agreed support.
PriceOn request
The price depends on the task, the condition of your data and the systems involved. Our proposal separates development from ongoing model usage, hosting and maintenance.
Tell us about the task ↗ questions & answers
Frequently asked questions
What does AI app development include?
Depending on the project, we can add an AI feature to an existing product or build an application with accounts, permissions, background jobs, payments and an admin panel. We agree which parts the first release needs.
Have you developed an AI platform that people already use?
Yes - we developed an image search and generation platform that has been live since 2024, with 2.3 million+ searches and users in 100+ countries. We processed a corpus of 1.7 million images with AI models for generation, moderation, captioning and meaning-based search. We implemented credits per generation with automatic refunds on failure and Stripe subscriptions.
Can RAG development limit answers to our documents?
We prepare documents for meaning-based search and pass the relevant passages to the model with instructions to answer from them. Answers include sources. We test your questions and define what happens when information is missing; using a model alone does not guarantee accuracy.
Can AI agent development use an existing model?
For document search, we usually start with an existing model and a separate store of your content. We compare quality, response time and cost per request before choosing an external API or a self-hosted model.
Where do our documents and personal data go?
We agree this before development: what is stored, who can access it, what is sent to an external model and how long it is kept. If the project needs its own infrastructure, we assess suitable models and hardware. Each provider's terms are reviewed for the specific project.
Can we charge for generations through credits and subscriptions?
Yes. We build credit balances, per-generation accounting, subscriptions and top-ups. We define when credits are charged and when failures trigger a refund. A repeated request or payment notification should not cause a duplicate charge.
What does development cost, and what do we pay after launch?
Pricing is on request. Development depends on the features, data and integrations. Running costs include AI model usage, servers, storage and agreed maintenance. We measure representative requests to estimate ongoing costs.
How long does it take, and who maintains the application?
We give a delivery estimate after reviewing the task, your data and systems involved. A limited working version comes first, tested with real users. Before public launch we agree monitoring, failure handling and subsequent changes.
Which technologies do you use for AI application development?
We choose for the task: PHP/Laravel or Python for the application, PostgreSQL/MySQL for data and an appropriate interface. RAG development uses meaning-based search; longer tasks run in the background. The project includes only the parts the work needs.
your AI project
Tell us about your AI application
Tell us which task you want to make easier. We will discuss the people, the systems and a useful first release.