AI that runs in production, and proves it.
Custom and fine-tuned models, assistants and document intelligence, built by the same team that ships the rest of your product. Half the work is choosing the use case that pays. We do that with you first, then build against an evaluation set on your data.
Six things we build most.
Document intelligence
Extract fields from invoices, forms and contracts, with a confidence score each.
RAG assistants
Answers from your own knowledge, with citations back to the source.
Custom and fine-tuned models
Models trained on your data, for your task, on your cloud or ours.
Computer vision
Detection and inspection from images and video.
Workflow automation
CRM and ERP updates without copy-paste.
Evaluation pipelines
Accuracy measured before and after launch, every version.
Aris AI: an assistant and trade engine built on the trader’s own data.
Live market data, a broker-synced journal and an AI that reads both before it proposes an order for the trader to approve. Designed and built by this team for a client in Dubai.
From workflow to production in about six weeks.
- Week 1Pick the workflow, build the evaluation set
- Weeks 2–3Build the first version against the eval
- Week 4Measure, tune, agree the target
- Weeks 5–6Ship to production with monitoring
AI questions we hear most.
How do you know the AI is accurate?
We build an evaluation set from your real data first, agree a target with you, and measure every version against it before launch.
Can it run on our own data securely?
Yes. Models run inside your cloud account or with a provider under a data-processing agreement, your documents are never used to train anyone’s model, and access follows the permissions you already have. We document where every byte goes before the first file is processed.
Do we need a lot of data to start?
No. Most first projects start with a few hundred real examples, enough to build an evaluation set and measure accuracy honestly. Modern models bring the general knowledge; your data supplies the specifics and the test.
Who maintains it after launch?
The same team that built it. Production AI is monitored for accuracy drift, cost and latency, models are re-evaluated when providers change them, and you own every account and prompt, so you can take it in-house at any point.
Also from this team
Industries we’ve shipped in
Pick one workflow. Ship it this quarter.
Tell us where the paperwork or the waiting is, and we’ll propose the first AI project.