Context engineering platform
Your AI agents are powerful. They just don't understand your product.
Sequa builds a verified understanding of your product from code, tickets and existing knowledge, so engineers and AI agents work from the same truth.
Works with your stack via MCP
Works with your stack via MCP
VS Code
VS Code
The real bottleneck
Your knowledge stack wasn’t built for AI
Your knowledge stack wasn’t built for AI
Your knowledge stack wasn’t built for AI
AI agents nail the first 80%. But the last 20%, where production risk lives, is a context problem, not a model problem. No upgrade to GPT or Claude will fix it. Your product knowledge flow has to.
AI agents nail the first 80%. But the last 20%, where production risk lives, is a context problem, not a model problem. No upgrade to GPT or Claude will fix it. Your product knowledge flow has to.
AI agents nail the first 80%. But the last 20%, where production risk lives, is a context problem, not a model problem. No upgrade to GPT or Claude will fix it. Your product knowledge flow has to.
1. Your code evolves daily
1. Your code evolves daily
1. Your code evolves daily
2. Knowledge falls out of sync
2. Knowledge falls out of sync
2. Knowledge falls out of sync
3. Humans adapt around it
3. Humans adapt around it
3. Humans adapt around it
4. AI agents guess
4. AI agents guess
4. AI agents guess
More prompts, better RAG pipelines, and larger context windows won't fix this. If your product understanding is fragmented or outdated, every agent session starts from zero. The bottleneck isn't access to information. It's that no one owns the accuracy of that information.
More prompts, better RAG pipelines, and larger context windows won't fix this. If your product understanding is fragmented or outdated, every agent session starts from zero. The bottleneck isn't access to information. It's that no one owns the accuracy of that information.
More prompts, better RAG pipelines, and larger context windows won't fix this. If your product understanding is fragmented or outdated, every agent session starts from zero. The bottleneck isn't access to information. It's that no one owns the accuracy of that information.
Meet Sequa
A shared, verified source of product truth
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
Derived from code, repos, tickets and docs - not written by hand.
Generated from real systems
Derived from code, repos, tickets and docs - not written by hand.
Generated from real systems
Derived from code, repos, tickets and docs - not written by hand.
Always current
Keeps pace with every commit, merge and refactor.
Always current
Keeps pace with every commit, merge and refactor.
Always current
Keeps pace with every commit, merge and refactor.
Human-verified
Engineers review and approve before agents act on it.
Human-verified
Engineers review and approve before agents act on it.
Human-verified
Engineers review and approve before agents act on it.
Playbooks
How teams actually use Sequa
Playbooks
How teams actually use Sequa
Playbooks
How teams actually use Sequa
Time to build
When product knowledge is reliable, everything accelerates
65%
less time keeping knowledge current
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 analyzes your codebase and product signals to maintain a single, verified context layer.
Every engineer and every
AI agent works from the same understanding, reviewed by your team and updated as your system evolves.
Sequa continuously analyzes your codebase and product signals to maintain a single, verified context layer.
Every engineer and every
AI agent works from the same understanding, reviewed by your team and updated as your system evolves.
Sequa continuously analyzes your codebase and product signals to maintain a single, verified context layer.
Every engineer and every
AI agent works from the same understanding, reviewed by your team and updated as your system evolves.
Sources
Context Engine
Context Engine
Context Engine
Context Engine
Context Engine
Context Engine
Engineers
Agents
“Every repo had its own AI context, most of it outdated. Our AI tools gave different answers depending on which codebase you asked about. Sequa gave us one source of truth. Now every AI interaction actually understands our product.”
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
AI Context Audit
Find out what your AI agents are getting wrong today
Find out what your AI agents are getting wrong today
Find out what your AI agents are getting wrong today
Offered free, by application only.
Offered free, by application only.
Offered free, by application only.
A focused, 3-week engagement for platform and DevEx teams.
We analyze your production repositories and validate existing knowledge (e.g. Confluence) against the code itself - to show you exactly where your AI tools produce unreliable output.
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, 3-week engagement for platform and DevEx teams.
We analyze your production repositories and validate existing knowledge (e.g. Confluence) against the code itself - to show you exactly where your AI tools produce unreliable output.
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, 3-week engagement for platform and DevEx teams.
We analyze your production repositories and validate existing knowledge (e.g. Confluence) against the code itself - to show you exactly where your AI tools produce unreliable output.
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.