FOR hardware & infrastructure
Get engineers the exact config, command, or
spec in seconds
The exact command, setting, or compatibility answer, pulled from your guides and release notes. Grounded in your sources and cited.
how it works
Connect your sources
Connect 30+ sources: help centers, GitHub code, wikis, PDFs, and SDKs.
Customize your agent
Set brand color, logo, font, layout, MCP installation link, and much more.
Deploy in 1 click
Copy and paste a code snippet and go live with just one click.
The agent trusted to answer technical questions about software tools for millions of users, every day
"Kapa is best-of-breed. Other vendors scored 60%. Kapa scored 99% and is in a different league."
Andy Vayo, Head of Enterprise Support
Try Kapa with your technical content
Test and evaluate Kapa for free
Go live in less than 7 days
SOC 2 Type II & GDPR compliant
Why is Kapa a good fit for hardware and infrastructure companies with complex, sprawling documentation?
Hardware, networking, and infrastructure products generate huge volumes of technical content spread across user guides, configuration references, release notes, knowledge bases, and support tickets. Kapa is purpose-built to turn these sources into a grounded AI agent that returns the exact command, setting, spec, or compatibility answer an engineer needs in seconds. It is already trusted by companies with complex technical products, including Nokia, HPE Juniper Networks, Silicon Labs, and Logitech, alongside 200+ other technical and enterprise organizations. Because answers are pulled from your own sources and cited, the system fits high-stakes environments where a wrong setting has real consequences. You can deploy it where users get stuck, whether that is your docs, help center, in-product, or your support workflow.
Can Kapa ingest PDF manuals, hardware datasheets, and other non-web content?
Yes. Kapa connects 30+ source types, including help centers, websites, GitHub code and discussions, wikis, knowledge bases, support tickets, and direct file uploads. For hardware and infrastructure teams, the file upload and storage connectors let you bring in PDF manuals, datasheets, and similar documents, and PDFs with an embedded text layer work best since they are read as text rather than scanned images. In the internal technical assistant and Slack bot, users can also attach PDFs, images such as .jpg and .png, and a range of text and code files so Kapa uses them as context for a more accurate answer. This means content that traditionally lives in static manuals becomes searchable and answerable. You connect the sources once, and Kapa keeps them indexed and refreshed.
How does Kapa keep answers accurate and trustworthy for high-stakes technical questions?
Kapa is a retrieval augmented generation system, so it retrieves relevant content from your trusted sources before generating a response rather than answering from a general model's memory. Every answer is grounded in your sources and includes citations, so an engineer can click through and verify the exact guide, release note, or spec behind the response. The system is designed to choose uncertainty over inaccuracy, meaning it is built to say when it cannot find a reliable answer instead of guessing. Kapa then clusters those uncertain questions and surfaces coverage gaps in analytics, so you can see exactly where your documentation is missing and improve it over time. This combination of citations, grounding, and gap reporting is what makes it suitable for technical answers where correctness matters.
How does Kapa handle multiple product lines and versioned documentation without mixing them up?
This is handled through source groups, which let you label and organize your data sources by product or by version. You can build a two-level hierarchy of parent groups and child subgroups, and a default Global group lets shared content flow into every group automatically. When you deploy Kapa, you can scope a given deployment to only the relevant source groups, so an agent for one product line or firmware version does not pull answers from another. This directly addresses the mixed-citation and reduced-quality problems that arise when many similar or versioned manuals live in one knowledge base. For companies with broad hardware portfolios and long version histories, this keeps each answer scoped to the right context.
How does Kapa handle security and data privacy, and how much effort is setup?
Kapa is SOC 2 Type II certified and GDPR compliant, with data encrypted both in transit and at rest. It runs a PII filter on incoming data before anything is persistently stored, redacting or removing sensitive fields so they are not retained or surfaced in responses. Kapa also signs data processing agreements and opt-out arrangements with its LLM providers, so your content is never used to train their models. On setup, most surfaces such as the website widget and support form deflector go live with a small embed snippet or one-click install, and the page notes you can go live in less than 7 days, with the API and SDKs available for fully custom interfaces. You can test and evaluate Kapa during a free trial before committing.