Applied AI
We use language models where they actually save work: answering questions from your own documentation, reading invoices or contracts and extracting their data, or classifying and summarizing information. Always connected to your systems and with costs under control.
What's included
- Assistants that answer from your documentation and cite the source.
- Document reading (PDFs, images, email) and structured data extraction.
- Classification, summaries and assisted writing inside your flows.
- The right model for each task, balancing quality and cost.
- Spending limits, usage logs and a fallback if a provider fails.
- A privacy review: which data leaves your company and which does not.
How we work
- 01 · Ore
Understand
We listen to the real problem and define what success means for you.
- 02 · Mold
Design
Screens and architecture you approve before we write a single line of code.
- 03 · Forge
Build
Short, frequent deliveries. You see progress working, not in reports.
- 04 · Temper
Test
Automated tests, security review and performance checks before launch.
- 05 · Edge
Launch and care
We ship, watch for errors and keep improving it with you.
Technologies we use
- Claude (Anthropic)
- OpenAI
- AI SDK
- Python
- TypeScript
Frequently asked questions
Is my data used to train models?
We use the providers' commercial APIs, which by default do not train on what you send them, and we explain which data leaves your company in each case.
How much does AI cost?
It depends on volume. We measure the cost per task from the start, pick the cheapest model that does the job and set spending limits.
What if the model gets something wrong?
We design each flow so answers can be checked: source citations, validation of extracted data and human review where it matters.
Let's talk about your project
Tell us what you need in a few lines. We reply in under 12 hours.
Tell us about your project