AI document analysis and search
Put your business knowledge within reach.
Find answers, extract key information and organize business documents with AI built around your team's work. We define the source material, access rules and review steps before connecting it to your systems.
Get from a question to the source.
Help staff locate relevant material, review a summary and follow references back to the underlying document. An answer should make the source easier to check, not hide the evidence behind a confident response.
The project needs to account for missing files, outdated versions and questions the available material cannot answer. Representative questions and source checks are part of the review.
Organize the incoming information.
Depending on the scope, intake can accept uploaded files, email attachments or ZIP packages, then help sort and tag them by project, contract or document type. Extracted information can prepare the next step while people review exceptions.
Our manufacturing ERP work already provides examples of mail and ZIP intake. The case study separately explains local AI development, so existing intake is not confused with every planned AI capability being complete.
Local AI processing on your own hardware.
For work that belongs in your own environment, we can build AI tools that analyze and search documents using local GPUs. Your team can process business information on hardware you control. Approved external models can help with selected tasks when the data rules permit it.
The choice depends on document sensitivity, performance needs, hardware and ongoing support. We define access and data boundaries for the project rather than assuming one arrangement fits every business.
What should your team be able to find or understand?
Describe the information and the questions. The first conversation does not require sending sensitive documents.
Discuss your document needs