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Knops creates support articles, engineering documentation, PRDs, RFP responses, and launch content from the same product signals, so every team moves faster without recreating the same knowledge.
No credit card required.
Source
Zendesk

Knops AI Engine
Delta Analysis
Output
Engineering
Value
Universal Knowledge
* Modelled from published industry benchmarks (HDI, TSIA, APMP, STC, Forrester), not measured customer results.
Not a writing problem, a structural one. No team downstream of engineering can document at the speed engineering ships, and it breaks the same way in four places at once.
Hours a week go into writing docs that are stale within weeks, and the ones that matter most, the architectural decisions, never get written down at all.
Architecture and API docs generated at commit time, rewritten when the code changes.
What was planned and what shipped parted ways months ago. Nobody can say exactly where, so readiness and effort get judged by intuition.
Retrospective PRDs and GA readiness scored against what the code actually does.
Weeks pass between a feature shipping and sales-ready messaging. In that window the deck, the battlecard and the RFP answer are all quietly wrong.
Collateral drafted from merged PRs, with overclaim checks against the codebase.
Every release opens a gap between what shipped and what the help center says. Tickets pour into that gap while the team writes the article that would have prevented them.
Articles generated from every commit, published before the first ticket arrives.
Summed across all four teams, the modelled cost of this gap at a Series B SaaS company runs $400K–$1.5M a year.
Modelled from published industry benchmarks, not measured customer results.
Coverage and gaps per audience, what changed since the last release, and what is queued for review, in one view.
Plug in your repositories and the tools each team already works in, Knops AI handles the rest.
Every product change is read four ways, and written in the register each audience actually needs.
Content lands in the tool that team already lives in, no one has to learn a new system.
When the code changes, the documents that describe it are revised in place. No stale docs, no manual upkeep.
What Knops reads to know the product changed.
Where the finished documents land, formatted for each tool.



Connect once. When a document updates, every destination updates with it.
Knops uses read-only repository access, processes only the content needed to generate documentation and keeps publishing decisions with your team.
Knops reads connected repositories without modifying source code.
Customer data is not used to train or fine-tune general-purpose AI models shared with other customers.
Secrets, credentials, PII and high-risk files are detected and blocked before AI processing; generated outputs are scanned again.
Control who can view, edit, approve and publish each type of documentation.
Require review before critical documentation is published or updated.
Our SOC 2 audit is underway. We will say so here when it is complete.
"Before Knops, our support articles were always 2–3 months behind the product. Ticket volume spiked after every release. Now articles are live before customers notice a change. Our deflection rate went from 22% to 51% in four months."
"Knops finally unified engineering, support, and marketing around one source of truth. Support stopped chasing engineering for doc updates. Marketing stopped publishing stale release notes. Everyone speaks the same language because support articles sync with every commit."
Deploy Knops on a live repository with founder-led onboarding, direct product support and early pricing locked for 24 months.
What partners receive
Founder-led onboarding, direct Slack access, roadmap input and early access to new integrations.
What Knops asks
Active use on one repository and one 30-minute weekly call for the first eight weeks.
Which team would you start with? (optional)
Engineering: Architecture and API docs generated from the repository and updated as the code changes.
Knops reads connected code, documentation and customer-support signals to create and maintain audience-specific product knowledge. It generates documentation for Support, Engineering, Product and Sales and Marketing, then publishes it into the tools each team uses.
Knops detects relevant product changes and updates the affected sections while preserving the document structure, tone and manual edits. Critical changes can require human approval before publishing.
Knops can generate support articles, architecture and API documentation, data-flow documentation, retrospective PRDs, readiness analysis, RFP responses, battlecards, changelogs and launch content.
Knops connects with tools including GitHub, Zendesk, Intercom, Confluence, Notion, Salesforce, HubSpot, Google Drive and Slack.
No. Knops uses read-only repository access to analyse product changes and generate documentation without modifying the connected source code.
Knops does not use customer data to train or fine-tune general-purpose AI models shared with other customers. It sends only the content required to generate the requested output.
Yes. User-level permissions control who can view, edit, approve and publish documentation. Teams can require human approval before critical documents go live.
Knops detects and blocks secrets, credentials, PII and high-risk files before AI processing and scans generated outputs again. SOC 2 certification is currently in progress.
More questions? Read the full FAQ
Connect your repository and support sources to create current documentation for every team.
No credit card required.