Your documents.
Always in context.
Second Axis keeps your company's knowledge base, past decisions, and documentation always accessible—so AI generates outputs that understand your business.
The context problem
AI without context gives generic answers
You ask:
"Write a PRD for user authentication"
AI responds:
"1. Users can sign up with email...
2. Implement password reset...
3. Add social login..."
Generic template. Doesn't know your tech stack, security requirements, or existing patterns.
You ask:
"Write a PRD for user authentication"
AI responds (with context):
"Based on your existing auth patterns and security policy:
1. Extend current JWT implementation...
2. Use your existing user service...
3. Follow your SSO requirements..."
Tailored to your company. References your docs, patterns, and decisions.
What gets indexed
All your organizational knowledge, always accessible
Past PRDs
Every PRD you've written becomes reference material. AI learns your patterns and standards.
Decision logs
Why did we choose that approach? AI can reference past decisions and their rationale.
Technical docs
Architecture docs, API specs, and technical guidelines inform AI-generated content.
Team wikis
Onboarding docs, process guides, and tribal knowledge—all searchable and referenceable.
Policies & guidelines
Security policies, compliance requirements, and company guidelines shape AI outputs.
User research
Interview transcripts, survey results, and user feedback—AI understands your users too.
Product screenshot: Knowledge base interface
Showing document library, search, and AI context indicator
How AI uses your knowledge
Context-aware outputs at every step
PRD generation
When you generate a PRD, AI references:
- Your existing PRD templates and formats
- Technical constraints from architecture docs
- Similar features you've built before
Ticket creation
When generating tickets, AI knows:
- Your team's ticket format preferences
- Typical acceptance criteria patterns
- Historical story point estimates
Instant answers
Ask questions and get answers from your docs:
- "What was our decision on the auth flow?"
- "How did we handle this before?"
- "What are our security requirements?"
Proactive suggestions
AI surfaces relevant context automatically:
- "This is similar to Feature X you built"
- "Your security policy requires..."
- "Consider this past decision..."
What PMs are saying
"The AI actually knows our product. It references past decisions, uses our terminology, and follows our patterns. It's like having a PM who's been here for years."
"I can ask 'why did we decide X?' and get an actual answer with references. No more digging through Slack or asking people who might have left."
Ready for context-aware AI?
Stop getting generic outputs. Let AI understand your business.