A small AI and web studio. We make the knowledge a company already owns answerable — and build the site and interface that put it in front of a customer.
Most companies already own the knowledge their customers are asking for. It sits in catalogs, spec sheets, price lists, quote histories and years of email.
It is just not answerable.
Someone has to go find it, and that someone is usually the most experienced person on the team.
Korpus Labs builds the layer that makes that knowledge answerable, and builds the website and chat interface that put it in front of a customer. The work runs from a simple marketing site through to document pipelines feeding a company’s internal systems.
To give small and mid-sized companies AI that is grounded in their own documents, honest about what it does not know, and shipped on a website they can actually run.
Every answer points back to a line in a document the client owns.
Nothing is answered from general knowledge. Every answer comes from a document the client owns, and every extracted field points back to the line it came from. If a claim cannot be traced, it does not ship.
Confidence is scored. Low-confidence output is routed to a person.
C → human review
A system that guesses is worse than no system. Confidence is scored, low-confidence output is routed to a person, and the assistant says when it does not know. Refusing well is a feature, not a gap.
The repository, prompts, evaluation set and data are the client’s.
Client · day one
The client keeps the repository, the prompts, the evaluation set and the data. No dependency on Korpus Labs to keep the thing running.
Six things, from a marketing site to a document pipeline feeding internal systems. A client who just needs a good site can hire us for a good site.
Marketing sites, product pages, landing pages, redesigns, performance and accessibility work, CMS setup and ongoing maintenance. A client who just needs a good site can hire us for a good site.
Conversational assistants built on the client’s own catalog, pricing and documentation. Customer-facing or internal. Cites its source, hands off to a human when unsure, and deploys where the client already works, whether that is their website, their support desk or their internal tools.
Turning spec sheets, invoices, purchase orders and technical PDFs into structured data that flows into existing systems, with confidence scoring and a human review queue for anything uncertain.
Making thousands of product documents answerable in a sentence, for sales and support teams who currently ask a colleague or dig through a folder.
Reading an incoming RFQ, matching it against the catalog, and drafting a quote for a person to approve. Drafting, not sending.
For companies that already deployed something and do not trust it. Building a real evaluation set from their own questions, measuring what the system actually does, and fixing what the measurement exposes.
We do not run training workshops.
01
A short scoping call establishes what documents exist, what questions get asked, and whether the problem is worth automating. Some are not, and saying so is part of the job.
02
The first delivery is narrow and real rather than broad and demonstrative.
03
Before anything goes live, it is graded against a set of questions drawn from the client’s actual inbox.
04
Documentation, repository access and evaluation set transfer to the client at the end.
Companies whose product knowledge lives in technical documents. Businesses with deep catalogs, technical customers, and staff spending real hours answering questions the documents already answer.
A customer emails asking whether a part works with their equipment, and answering it takes twenty minutes and the right person being at their desk.
Right now, credible applied AI is priced for enterprises. A distributor with four thousand spec sheets and eleven staff gets a chatbot template that hallucinates part numbers, or gets nothing at all.
Within a few years, that company can have the same quality of grounded, evaluated, traceable AI that a large firm pays a consultancy six figures for — delivered by a small studio, at a price that makes sense for their size, on infrastructure they own.
Korpus Labs is built to be that studio for a specific slice: companies whose value lives in technical documentation.
Start with a scoping call. If the problem is not worth automating, we will tell you that.