01 / Retrieve
Documents and knowledge
Search and answer across records, procedures and manuals.
Service 03 / Applied AI
AI that does a job.
Applied AI puts a model inside a working business process, with the data, interface, safeguards and evaluation around it. deltaV builds the whole system, not a demo.
What we build
Put AI to work
02 / See
Vision and inspection
Images and video checked automatically. People review exceptions.
03 / Predict
Forecasting and anomalies
Failures, demand shifts and outliers flagged before they cost you.
Example
Find an answer in your own documents
A document-search workflow retrieves the passages that answer a question and links to the source. It should follow each user's access rights, favour current versions and say when the files do not support an answer.
We test useful questions against answers your team has checked, including missing and conflicting information. The company document search guide explains that process. The invoice intake prototype shows another approach: read a document, flag uncertainty and keep a person approving.
Method
Before the model
- Name the decision. What gets faster or more consistent.
- Set the error limit. What needs human review.
- Secure the data. Owner, access, refresh.
- Ship the workflow. Interface, logging, fallback.
Before we build
Bring the task and the right answer
Bring examples you can share, the decision they support and what a wrong answer would cost. We agree access, retention, human review and a baseline to test against. Model output is checked inside the workflow before it drives an action.
The scope is software, compute and AI, using your existing systems and data. deltaV hosts and maintains the software on its own AWS infrastructure, on a monthly retainer. You get full use of it and own your data. deltaV retains the code, docs and methodology.
Questions
Direct answers
Do you build chatbots?
When chat is the right interface. Often it's search, classification or automation instead.
Can it use our private data?
Yes, with access controls and retention built in from day one.
How do you measure it?
Against a baseline: time per task, error rate, review load. Guide →
Is our data used to train models?
No. Your data stays yours. We never reuse it or train on it.
Do you sign NDAs?
Yes. Before the scoping call, if you want.