Search that ships as fast as you do.
Engineering teams waste hours finding internal docs. Customers abandon products when they can't find answers in your help centre. Keyspider fixes both, deployed in days, not quarters.
- Customer-facing docs and help centre search with AI answers
- Internal search across Confluence, Notion, GitHub, Jira, and Slack
- Onboard new engineers faster with unified knowledge search
The v2 API enforces a 1000 req/min limit per API key. Exceeding this returns HTTP 429 with a Retry-After header. Use exponential backoff starting at 500ms.
Enterprise SSO onboarding involves: SAML 2.0 or OIDC config from the customer's IdP, a test tenant provisioned within 24 hours, and a 45-min technical setup call with Solutions Engineering.
Root cause: a missing index on the search_events table caused full table scans on queries with date filters. Fix deployed June 15 at 03:12 UTC. p99 returned to baseline within 8 minutes.
Information is your product. Losing it to poor search is expensive.
Fast-growing SaaS companies generate enormous amounts of internal knowledge — in Confluence, Notion, GitHub wikis, Slack threads, and Jira tickets. And customer-facing docs grow just as fast. Both suffer from the same problem: search that can't keep up. New engineers spend weeks finding things. Customers raise support tickets for answers already in the docs.
New engineering hires spend weeks rediscovering institutional knowledge
Support ticket volume is driven by customers who can't find answers in docs
Internal knowledge is fragmented across Confluence, Notion, GitHub, and Slack
Product docs go stale and internal search surfaces outdated results
AI search built for the pace of SaaS
Keyspider connects to every tool engineering and product teams already use — and surfaces the right answer without switching tabs.
Customer docs & help centre search
Embed AI search in your documentation site so customers find answers without raising a ticket. With AI-generated summaries, they get the answer — not just a link to a page.
Internal knowledge search
One search bar across Confluence, Notion, GitHub, Jira, and Slack archives. Engineers find the answer without posting in #general.
Onboarding acceleration
New hires get a single place to ask questions about architecture decisions, processes, and tooling. Institutional knowledge becomes findable on day one.
API & developer docs search
Semantic search across your API docs means developers find the right endpoint, parameter, or code example — even when they search in different terms to what you wrote.
Real-time indexing
Docs updated in Confluence or GitHub are searchable within minutes. No overnight crawls, no stale results during active sprints.
SSO & permissions
Integrates with your existing identity provider. Engineers see results for content their role can access. No over-sharing of sensitive architecture docs.
What SaaS teams see with Keyspider
3×
Faster onboarding for new engineering hires
40%
Reduction in support tickets from docs search
2 weeks
Time to go live
< 200ms
Average search response time
How SaaS companies use Keyspider
Developer docs & API reference search
Technical documentation is dense and constantly changing. Keyspider's semantic search helps developers find the right endpoint, code example, or guide — even when they search in plain English rather than exact API terminology.
Customer support deflection
Embedding AI search in your help centre means customers resolve issues themselves. Keyspider's AI-generated summaries give them the direct answer, not a list of pages to scroll through — reducing tier-1 support volume significantly.
Internal engineering knowledge
Architecture decisions, runbooks, incident post-mortems, and technical guides are often in six different places. Keyspider searches all of them from one bar — so engineers stop re-asking questions that were answered last quarter.
Product team operations
Product managers searching across Jira, Confluence, Figma annotations, and Slack for context on a feature can find everything in one place. Keyspider Workplace Search covers every tool in the product stack.
Ready to give your users better answers?
AI Search, AI Assistant, and Workplace Search. Deployed in days, not months. See it live on your own content.
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