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 is not AI context ready

Your knowledge stack is not AI context ready

Your knowledge stack is not AI context ready

AI agents nail the first 80%. The last 20% is a context problem.

In complex systems, code evolves daily. Knowledge falls out of sync. Humans adapt around the gaps.

Agents are stateless - every task starts like a day-one employee. Without owned, verified context, they guess.

AI agents nail the first 80%. The last 20% is a context problem.

In complex systems, code evolves daily. Knowledge falls out of sync. Humans adapt around the gaps.

Agents are stateless - every task starts like a day-one employee. Without owned, verified context, they guess.

AI agents nail the first 80%. The last 20% is a context problem.

In complex systems, code evolves daily. Knowledge falls out of sync. Humans adapt around the gaps.

Agents are stateless - every task starts like a day-one employee. Without owned, verified context, they guess.

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

Meet Sequa

The coworker that owns your product context

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

Make AI agents product-aware

Give your AI agents the right context via MCP.

Self-maintaining documentation

Onboard engineers in days, not months

Read Docs

Playbooks

How teams actually use Sequa

Make AI agents product-aware

Give your AI agents the right context via MCP.

Self-maintaining documentation

Onboard engineers in days, not months

Read Docs

Playbooks

How teams actually use Sequa

Make AI agents product-aware

Give your AI agents the right context via MCP.

Self-maintaining documentation

Onboard engineers in days, not months

Read Docs

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.

Apply for Context Audit

Apply for Context Audit

Apply for Context Audit

A focused, 3-week engagement for dev, devEx and documentations teams.

We analyze your production repositories and validate existing knowledge (e.g. Confluence, repo markdown files) against the code itself to show you exactly 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 dev, devEx and documentations teams.

We analyze your production repositories and validate existing knowledge (e.g. Confluence, repo markdown files) against the code itself to show you exactly 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 dev, devEx and documentations teams.

We analyze your production repositories and validate existing knowledge (e.g. Confluence, repo markdown files) against the code itself to show you exactly 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.

FAQ

FAQ

Looking for more detail? Explore the documentation or reach out directly.

Looking for more detail? Explore the documentation or reach out directly.

Looking for more detail? Explore the documentation or reach out directly.

Read Docs

Read Docs

Read Docs

How is Sequa different from documentation tools?

How does Sequa stay up to date?

How much ongoing work is required from engineers?

Can AI agents rely on the same knowledge as humans?

Does Sequa work for large or multi-repo systems?

Is our data safe?

Why does this matter now?

How is Sequa different from documentation tools?

How does Sequa stay up to date?

How much ongoing work is required from engineers?

Can AI agents rely on the same knowledge as humans?

Does Sequa work for large or multi-repo systems?

Is our data safe?

Why does this matter now?

How is Sequa different from documentation tools?

How does Sequa stay up to date?

How much ongoing work is required from engineers?

Can AI agents rely on the same knowledge as humans?

Does Sequa work for large or multi-repo systems?

Is our data safe?

Why does this matter now?

Get access now

Book Demo

Try Now

Get access now

Book Demo

Try Now

Get access now

Book Demo

Try Now