For engineers and AI agents
The Documentation Platform for the AI Age
Sequa turns your codebase and product signals into a single, self-maintaining and verified understanding of how your system works - and why.
Connect with 500+ tools
Connect with 500+ tools
VS Code
VS Code
Sound familiar?
Software development is knowledge work
Software development is knowledge work
Software development is knowledge work
But product knowledge lives in too many places - and goes stale the moment your code changes.
But product knowledge lives in too many places - and goes stale the moment your code changes.
But product knowledge lives in too many places - and goes stale the moment your code changes.
1. Code changes
1. Code changes
1. Code changes
2. Docs outdated
2. Docs outdated
2. Docs outdated
3. Knowledge scattered
3. Knowledge scattered
3. Knowledge scattered
4. Humans adapt, AI guesses
4. Humans adapt, AI guesses
4. Humans adapt, AI guesses
More AI and RAG won't fix broken product knowledge. When knowledge is outdated or contradictory, both humans and agents can only guess. The bottleneck isn’t access to information. It’s maintaining accurate information.
More AI and RAG won't fix broken product knowledge. When knowledge is outdated or contradictory, both humans and agents can only guess. The bottleneck isn’t access to information. It’s maintaining accurate information.
More AI and RAG won't fix broken product knowledge. When knowledge is outdated or contradictory, both humans and agents can only guess. The bottleneck isn’t access to information. It’s maintaining accurate information.
Meet Sequa
Product knowledge that scales
Sequa creates a shared, verified understanding of your system that both engineers and AI agents can rely on. Meet the product knowledge layer, packaged as documentation.
Sequa creates a shared, verified understanding of your system that both engineers and AI agents can rely on. Meet the product knowledge layer, packaged as documentation.
Sequa creates a shared, verified understanding of your system that both engineers and AI agents can rely on. Meet the product knowledge layer, packaged as documentation.
Source-driven
Generated from code and product signals.
Source-driven
Generated from code and product signals.
Source-driven
Generated from code and product signals.
Change-aware
Updates when your system changes.
Change-aware
Updates when your system changes.
Change-aware
Updates when your system changes.
Human-verified
Engineers review what matters.
Human-verified
Engineers review what matters.
Human-verified
Engineers review what matters.
The new default
Playbooks teams start with
The new default
Playbooks teams start with
The new default
Playbooks teams start with
Time to build
You ship, Sequa delivers
65%
Less time maintaining docs
3x
Faster engineer onboardings
70%
Fewer expert interruptions
Full
Product context in Cursor and more
Product context in Cursor ++
The Context Engine
One shared understanding
One shared understanding
One shared understanding
Sequa continuously reads from your product sources and maintains a shared context between engineers and AI agents.
Understanding flows both ways - humans and agents consume, review and enrich the same context as the system evolves.
Sequa continuously reads from your product sources and maintains a shared context between engineers and AI agents.
Understanding flows both ways - humans and agents consume, review and enrich the same context as the system evolves.
Sequa continuously reads from your product sources and maintains a shared context between engineers and AI agents.
Understanding flows both ways - humans and agents consume, review and enrich the same context as the system evolves.
Sources
Context Engine
Context Engine
Context Engine
Context Engine
Context Engine
Context Engine
Engineers
Agents
“We had AI context files scattered across 30+ repo. Each one slightly different, most of them outdated. Every team was doing their own thing and our AI tools gave inconsistent results depending on which codebase you were in. Sequa gave us one source of truth. Now our product knowledge stays centralized, always current and every AI interaction actually understands our stack.”
From fragmented AI setup to a reliable, shared understanding of the entire product.
CTO
CTO
CTO
Engineering org spanning 30+ repos across multiple product teams
Engineering org spanning 30+ repos across multiple product teams
Reliability Sprint
The AI context reliability sprint
The AI context reliability sprint
The AI context reliability sprint
Offered free, by application only.
Offered free, by application only.
Offered free, by application only.
A focused, 21-day sprint for platform and DevEx teams to validate whether AI across their codebase is actually reliable.
We index real production repositories and validate existing documentation (e.g. Confluence) against the code itself. Outdated assumptions are discarded, missing knowledge is inferred and contradictions across repos and docs are resolved into a single, verifiable understanding.
You’ll see where AI answers are already inconsistent or wrong today - and how they change once product knowledge is consistent, current, and reliable.
No slideware. A concrete outcome you can evaluate internally.
A focused, 21-day sprint for platform and DevEx teams to validate whether AI across their codebase is actually reliable.
We index real production repositories and validate existing documentation (e.g. Confluence) against the code itself. Outdated assumptions are discarded, missing knowledge is inferred and contradictions across repos and docs are resolved into a single, verifiable understanding.
You’ll see where AI answers are already inconsistent or wrong today - and how they change once product knowledge is consistent, current, and reliable.
No slideware. A concrete outcome you can evaluate internally.
A focused, 21-day sprint for platform and DevEx teams to validate whether AI across their codebase is actually reliable.
We index real production repositories and validate existing documentation (e.g. Confluence) against the code itself. Outdated assumptions are discarded, missing knowledge is inferred and contradictions across repos and docs are resolved into a single, verifiable understanding.
You’ll see where AI answers are already inconsistent or wrong today - and how they change once product knowledge is consistent, current, and reliable.
No slideware. A concrete outcome you can evaluate internally.
Get access
See Sequa in action
See Sequa in action
We’ll walk you through Sequa and provide early access so you can explore it with your team.