What we do
Assistants and customer-facing AI
Assistants that answer from your own documents and data, and show where each answer came from.
- Customer service assistants
- Internal knowledge search
- AI features inside existing products
Document processing and automation
Read, classify, and extract from the documents your team handles by hand, then send the result to the right place.
- Invoice, claim, and application processing
- Request routing and triage
- Report drafting with human review
Data pipelines and integrations
AI is only as good as the data behind it. We build the pipelines that keep that data current.
- Processing for websites, PDFs, and images
- Vector search and knowledge bases
- Connections to your internal systems
Who it's for
Organizations with a repetitive process, a clear way to measure the result, and data to work from. Common starting points:
- Your team spends hours reading, sorting, or re-entering information from documents.
- Customers or staff keep asking the same questions, and the answers are spread across systems.
- You have an AI pilot that works in a demo but isn't reliable enough to use.
How the work runs
You receive the working system, its test results, and documentation your team can use.
- Assess: we review the process and sample data, and agree how accuracy will be measured.
- Build: we test a working version against real examples before anyone relies on it.
- Launch: we connect it to your systems, add human review where errors are costly, and roll it out in stages.
- Improve: we track accuracy after launch and adjust as your data and processes change.
Built to be checked
A demo is easy. A system your staff and customers can rely on takes more work. We measure accuracy against real examples from your business, keep a person in the loop where errors are costly, and record what the system did and why.
Where a decision has to be exact, we use tested rules that trace back to their source, and use AI for the work around them, such as answering questions and citing documents.
Where to start
Start with one process that is repetitive, costly, and easy to measure. We'll tell you whether AI is the right tool for it, including when a simpler rule or workflow would do the job better.
Frequently asked questions
Does our data need to be clean before we start?
No. We review what you have during scoping, and organizing it can be part of the project.
How do you handle wrong answers?
We limit answers to approved sources, show citations, test against real examples, and send uncertain or high-risk cases to a person. No AI system is perfect, so we design for the errors it will make.
Can AI work with our existing systems?
Yes. We connect it to the tools and databases you already use, so results appear where your team already works.
How is our data protected?
During scoping, we decide where your data is stored and which model providers can process it, based on your regulatory and contractual requirements.