Ship the AI surface in your product without a 6 month build.
Your users already expect AI in your product. The build is a quarter you do not have. Knolbase is the off the shelf version: trained on your content, embedded in your product, branded as yours.
From signup to widget live
Engineers required from your team
For onboarding + support + training
The AI bar moved. Your product is on the wrong side of it.
Your users expect AI in your product.
They use ChatGPT for everything else. If your product cannot answer their questions, they switch tabs. The AI bar is now table stakes.
Your expertise lives in 3 people's heads.
You cannot put your best person on every onboarding. Your product knowledge is trapped in CSM heads and Loom links no one has time to watch.
Static docs decay weekly.
Help articles go stale the day you ship a release. Your team stops updating them by month 4 and customers stop reading them by month 2.
One vendor, three growth levers, days to ship.
Drop in an AI layer that knows your product.
Knolbase reads your existing docs, videos, and product flows, and gives every user a help layer trained only on your content. Not on ChatGPT's hallucinations of what your product probably does.
One platform across onboarding, support, and training.
The same content surfaces in the welcome portal, the in product chatbot, the sales call follow up, and the customer education academy. You write it once. We distribute it.
Build vs buy, but actually solved.
Building this in house means a RAG pipeline, a vector store, an eval harness, and a roadmap for the next year. Or you ship it next week on Knolbase, keep control of the brand and the data, and use that engineering time on the product moat that actually matters.
Where Knolbase shows up first.
Activate every signup
Lift trial to paid without staffing a CS team. Knolbase walks PLG signups through the steps that get them to paid.
Learn moreShip the AI surface in your product
An in product widget trained only on your content. Same week, no eval harness, no vector DB to maintain.
Learn moreCover the long tail
Onboard the SMB and self serve customer segments you could never staff for. Same experience as your top accounts.
Learn moreFrequently asked questions
You can. The honest build looks like: 2 engineers for 3 months on the RAG pipeline, plus an eval harness, plus ongoing model and product update maintenance. If your moat is the AI layer, build it. If your moat is something else, buy. Most founders we talk to buy.
Those are model providers. Knolbase is the layer above: it ingests your videos and docs, personalizes the portal per account, surfaces the right video at the right moment, and shows you what worked. We pick the model. You do not have to maintain that stack.
Faster activation moves CAC payback in. Better self serve moves cost to serve down. Better in product help moves NRR up because customers find what they need. We will not promise a specific multiple because we are early enough that the numbers vary by product and ICP.
We do the implementation alongside your team. A standard pilot runs in two weeks. The portal needs zero engineering. The in product widget is an afternoon of work to embed.
Where founders deploy Knolbase first.
See it run on your product.
30 minute call. We embed the widget on a screenshot of your product and walk through how an actual user question gets answered. Live.