Agents have reached hardware. Meet Flow v3 

Requirements Management.
At the pace of your program.

Flow keeps requirements, systems, tests, and verification aligned continuously, so teams can make decisions with complete context, work in parallel, and understand the impact of any change in seconds.

Flow's systems tree for an electric vehicle program, with requirements, functions, and test cases connected in one live model.

Every requirement in Flow lives in a live model called the Systems Graph. It stays linked to the systems it governs, the tests that verify it, the interfaces it constrains, and the standards it must satisfy. When something changes, those connections keep requirements accurate and prevent drift across the program.

Faster Design Reviews.

PDRs, CDRs, and release reviews focus on tradeoffs and risk instead of chasing traceability gaps.

Always Certification Ready.

Certification evidence is generated as the program evolves instead of being assembled manually before an audit.

Fewer Integration Surprises.

Ambiguity, conflicting assumptions, and missing verification paths are caught and prevented before they become integration failures.

One set of requirements.
Shared by every discipline.

A structured decomposition from vehicle-level requirements into battery and powertrain requirements across levels.

Flaws caught early.
While they're cheap to fix.

A structured requirement record written in the EARS template with when-clauses and downstream links.

Flow meets engineers.
Where they already work.

A supplier cooling spec from SharePoint linked to a cooling requirement, with the governing clause highlighted.

External teams, live data.
Scoped to what you share.

External team members with per-project roles and scoped access.

And so much more.

Configurable data model.

Define the entity types your program needs: requirements, systems, interfaces, hazards, design values, flow items, test cases. Each with the custom typed fields your process requires. Nothing is locked to a fixed schema.

AI-assisted authoring.

Flow's AI drafts requirements from natural language descriptions, regulatory source documents, supplier specs, CAD inputs, and more. It applies your program's naming conventions, quality criteria, and standard references, without being re-prompted every time.

Immutable change history.

Every change to every requirement is recorded: what changed, who changed it, when, and on which branch. The audit trail is a structural property of Flow, not a bolt-on log.

Tagging and mentions.

Mention teammates directly in a requirement to loop them in or ask a question. No need to jump to email, Slack, or Jira.

Chris Eheim portrait
Sunflower Labs scene
We're building a complex autonomous system, and things change fast. We didn't want a tool that slows us down. Flow was built for the kind of iterative engineering we actually do.

Chris Eheim

Founder & CEO

Sunflower Labs

Requirements are just the start.

Architecture in Flow

Architecture

Map components, interfaces, and dependencies as designs evolve.

Traceability in Flow

Traceability

Every requirement, design, and test, connected by default.

Continuous V&V in Flow

Continuous V&V

Verify against live requirements with every commit.

Accelerate your cycle times.

Maintain your engineering rigor.

Talk to our team

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