For engineers and AI agents
AI-first documentation for humans and agents
Sequa turns code, tickets and docs into a single, verified context layer your engineers and AI agents can trust.
Connect with 500+ tools
Connect with 500+ tools
VS Code
VS Code
Sound familiar?
AI breaks when product knowledge drifts
AI breaks when product knowledge drifts
AI breaks when product knowledge drifts
In complex systems, code, tickets and docs drift apart. Humans compensate. AI agents guess.
In complex systems, code, tickets and docs drift apart. Humans compensate. AI agents guess.
In complex systems, code, tickets and docs drift apart. Humans compensate. AI agents guess.
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 Docs outdated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 Docs outdated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 Docs outdated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 prompts, RAG and larger context windows won’t fix stale knowledge. If your product understanding is fragmented or outdated, both engineers and AI agents make the wrong decisions. The bottleneck isn’t access to information anymore. It’s maintaining accurate information.
More prompts, RAG and larger context windows won’t fix stale knowledge. If your product understanding is fragmented or outdated, both engineers and AI agents make the wrong decisions. The bottleneck isn’t access to information anymore. It’s maintaining accurate information.
More prompts, RAG and larger context windows won’t fix stale knowledge. If your product understanding is fragmented or outdated, both engineers and AI agents make the wrong decisions. The bottleneck isn’t access to information anymore. It’s maintaining accurate information.
Meet Sequa
A shared, trusted context for humans and agents
Sequa builds a verified understanding of your system from code and product signals and keeps it in sync as your system evolves.
Sequa builds a verified understanding of your system from code and product signals and keeps it in sync as your system evolves.
Sequa builds a verified understanding of your system from code and product signals and keeps it in sync as your system evolves.
Generated from real systems
Built from code, repos, tickets and docs - not written by hand.
Generated from real systems
Built from code, repos, tickets and docs - not written by hand.
Generated from real systems
Built from code, repos, tickets and docs - not written by hand.
Always in sync
Updates automatically as your system changes
Always in sync
Updates automatically as your system changes
Always in sync
Updates automatically as your system changes
Verified before agents use it
Engineers review and approve critical context
Verified before agents use it
Engineers review and approve critical context
Verified before agents use it
Engineers review and approve critical context
Playbooks
The new default for product understanding
Playbooks
The new default for product understanding
Playbooks
The new default for product understanding
Time to build
When context is reliable, everything moves faster
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 your code and product sources and maintains a single, verified context layer.
Engineers and AI agents use the same understanding, reviewed and updated as the system evolves.
Sequa continuously reads your code and product sources and maintains a single, verified context layer.
Engineers and AI agents use the same understanding, reviewed and updated as the system evolves.
Sequa continuously reads your code and product sources and maintains a single, verified context layer.
Engineers and AI agents use the same understanding, reviewed and updated 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
Find out if your AI actually understands your system
Find out if your AI actually understands your system
Find out if your AI actually understands your system
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.