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.

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Used by engineers from

The real bottleneck

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

2. Knowledge falls out of sync

3. Humans adapt around it

4. AI agents guess

Meet Sequa

The coworker that owns your coding context

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.

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.

Playbooks

How teams actually use Sequa

Make AI agents product-aware

Give your AI agents the right context via MCP.

Self-maintaining documentation

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

Read Docs

The Context Engine

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.

Sources

Context Engine

Context Engine

Engineers

Agents

Works with your stack via MCP

VS Code

VS Code

Benchmarked on real-world GitHub issues:

Context Engine Benchmark

Improving Claude Code by up to 113%

We benchmarked Claude Code with and without Sequa's context engine on complex, real world tasks from open source repositories. In two thirds of non-trivial tasks, Claude Code with Sequa produced measurably better solutions, with improvements ranging from +55% in completeness to +113% in code reuse. These results were achieved with fully automatic context generation and zero manual customization.

Feb 16, 2026

“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

Engineering org spanning 30+ repos across multiple product teams

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See Sequa in action

We’ll walk you through Sequa and provide early access so you can explore it with your team.

FAQ

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

Read Docs

How is Sequa different from RAG or AI coding assistants?

How long does it take to see value?

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?

When does Sequa NOT make sense?

Is our data safe?

Why does this matter now?

Try Sequa now

Book Demo

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Try Sequa now

Book Demo

Try Now

Try Sequa now

Book Demo

Try Now