Engineering data lives in a dozen disconnected tools. Flow builds a live, continuously updated model of your entire program and keeps every relationship current automatically.
Flow creates a live Systems Graph, a connected, continuously updating model of the entire engineering program. Every artifact, requirements, interfaces, architectures, design units, test cases, simulations, software components, compliance evidence, exists as a node with explicit relationships to everything it impacts.
Every engineer and agent works from the same live baseline. Alignment is structural, not managed.
Rework and schedule risk stay contained instead of cascading across the program.
Change a requirement & the graph shows what's affected, what breaks, and what needs retesting.
Agents reconcile changes across GitHub, CAD, and PLM, surfacing conflicts the moment they appear rather than at integration.
One PDF lands in SharePoint and is pulled into Flow automatically.
Agent detected file change
Supplier Cooling Spec
1min ago
The requirement written against the old spec goes Suspect, and so do the test cases verifying it.
Requirement at risk
Cooling Capacity
Requirement at risk
Charge Cycle Test
Requirement at risk
Thermal Derate Test
SharePoint
Cooling Spec
Updated 1min ago
Certification evidence is marked stale. The live baseline never moves.
branch/cu-200-rev-c
Thermal Simulation Agent
Rerun simulation of cooling unit
Test cases invalidated
Stale certification evidence
In their channels and the review panel, with the full impact set attached.
Agent notified 3 owners
Shared update
9 artifacts
The updated requirement, the rerun simulation, and the new tests land in one traceable commit.
Review branch/cu-200-rev-c
Updated requirement, rerun simulation, regenerated tests. Field-level diff ready.
Requirement
Test Cases
Thermal Simulation
Request changes
Approve
Link requirements across project and team boundaries. When a system-level requirement changes, downstream requirements in supplier projects are flagged automatically.
Reference a parameter inside a requirement and downstream tools read its current value through the API. The number stays right as the design moves.
Filter by domain, stakeholder, supplier, or regulatory source. Filters scope automatically to whoever is viewing, so building one works for the whole team.
Agents post directly into GitHub PRs, Slack threads, and CAD. The program stays coherent in the tools the team already uses.
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
Event
How do world-class hardware organizations stay fast as complexity explodes? Executives from Tesla, Rivian Volkswagen Tech, Heron Power, and Mytra discuss the operating principles behind the most elite hardware engineering teams in the world.
Read more
Partnership
Mytra builds some of the most complex hardware in robotics with a small team. Flow is the system that keeps their requirements, risks, and tests coordinated while giving them the leverage of a larger team
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Event
Flow's Founder, Pari, sat down with Roelof Botha (Sequoia partner and SpaceX's newest board member) to discuss where hardware is headed: the org design shaping next-generation engineering companies, why iteration speed compounds, and what AI now makes possible.
Read moreAccelerate your cycle times.
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