Flow Engineering

Reinvent the way humanity develops its most important machines

[Flow Engineering @buildonfloweng]

100 Million+ Requirements are already managed in Flow across thousands of engineers building the next generation of aerospace, defense, robotics, energy, and autonomous systems.

Over the last year, we've worked alongside the world's most ambitious hardware teams to build a new way of engineering.

Agents have reached hardware.

Flow Agents continuously connect requirements, design, CAD, simulation, code, and testing, helping teams surface conflicts early, propagate changes automatically, and accelerate iteration without lowering the bar.

We're excited to share what we've been building.

Learn more here: https://t.co/D4sIuzYMB2

[Pari Singh @parisingh]

Agents have reached hardware.

We are launching Flow v3, the Agentic Platform for Physical Engineering.

We've spent over a year building it in secret, alongside the best hardware companies and AI research labs.

An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days.

Agents are the biggest shift in how we engineer hardware since CAD.

The core innovation for the CAD era was the parametric model.
The core innovation for the Agentic Era is Flow's Systems Graph.

The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design.

Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests.

Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own.

Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow.
More on the launch in the comments.

@buildonfloweng

[Pari Singh @parisingh]

Agents have reached hardware.

We are launching Flow v3, the Agentic Platform for Physical Engineering.

We've spent over a year building it in secret, alongside the best hardware companies and AI research labs.

An agent can now do real engineering work: change a requirement, push the update into your CAD and simulation tools, and flag every test that needs to rerun. Iterations/learning cycles that took months are being reduced to days.

Agents are the biggest shift in how we engineer hardware since CAD.

The core innovation for the CAD era was the parametric model.
The core innovation for the Agentic Era is Flow's Systems Graph.

The systems graph is a living model of every requirement, design model, test, analysis and every connection between them. It gives every agent the full context of the system, so every change stays consistent across the whole design.

Engineers and agents work side by side on the same system. Engineers get to focus on architecture - the decisions that matter -while thousands of agents churn through rewriting reports, rerunning analysis and simulation, and triggering tests.

Reusable rockets, self-driving cars, small modular reactors, robots that make decisions, the most complex machines ever built, are defined by millions of interconnected requirements, far beyond what any human team can keep aligned on its own.

Rivian, Joby, Astranis, Skydio, Radiant, and the most ambitious hardware programs already build on Flow.
More on the launch in the comments.

@buildonfloweng

[Roelof Botha @roelofbotha]

Thanks to @parisingh and his team at @buildonfloweng. hardware development teams can now enjoy the same benefits as software teams from AI-driven development acceleration

[Flow Engineering @buildonfloweng]

1,000+ engineers at @Rivian use Flow!

We're proud to partner with Rivian as they push the future of electric vehicles forward.

Flow is the live system of record for requirements across the R1 and R2 vehicle programs.

When you’re building some of the most advanced EVs in the world, the hard problem is coordination at scale.

Rivian chose Flow to scale to >1,000,000 hardware + software requirements in one shared system built for high-speed iteration.

🔗 Link to full partnership announcement: https://t.co/k43XOr8yX4

[Flow Engineering @buildonfloweng]

Flow + @OpenAI - we’re building Physical Engineering AI!

Hardware development today is 10% invention and 90% grunt execution. Engineers designing rockets, aeroplanes and cars are reduced to digital manual labor.

Copy Requirement from PDF -> manually update the mass budget spreadsheet -> adjust a thermal spreadsheet someone made 3 years ago -> update parameters into CAD -> re-run simulation -> test assumption is now invalid -> realize a downstream requirement is broken.

In the future, we will go from prompt -> rocket. Today we can go from prompt -> video, prompt -> website. AI will allow us to iterate hardware in minutes, not months.

Our work with OpenAI is building engineering context into their model to massively accelerate hardware development.

We’re opening a limited alpha of what we’re building at Flow. Message us if you want early access!

[Flow Engineering @buildonfloweng]

@roelofbotha @sequoia @parisingh We're thrilled to partner with you. Thank you for believing in our mission!

[TBPN @tbpn]

NEWS: @Flow_Engineer raises a $23M Series A, led by @sequoia.

[TBPN @tbpn]

It's Tuesday.

We're cozymaxxing on the show today.

Here's the lineup:

— Creator payouts on 𝕏
— @andrewrsorkin (Author, 1929)
— @_brianpotter (Author, Origins of Efficiency)
— @sternhenri (Privy)
— @parisingh (Flow Engineering)

See you on the stream.

[Pari Singh @parisingh]

We’re thrilled to announce our $23M Series A led by @Sequoia - joined by @patrickc, @collision, and @david_helgason. Honored to welcome @roelofbotha to our board.

We’ve entered a new era of manufacturing. Reusable rockets. Humanoid robots. Self-driving cars. Humanity is reinventing how it builds.

We started by building hybrid rocket engines. Along the way, we built tools that made us move faster - design, build, test, iterate.

Those tools became @buildonfloweng.

Today, Flow has become the default platform for next-gen hardware teams, powering the systems that will define our future.

[Flow Engineering @buildonfloweng]

Today we’re announcing Flow’s $23M Series A led by
@sequoia with participation from @patrickc, @collision, and @davidhelgason. We’re thrilled to welcome
@roelofbotha to our board!

Flow is the default requirements tool for the next generation of hardware companies. We power teams to design, test, and iterate as quickly as software.

The future of hardware is iterative - and it’s being built on Flow.

Join us → https://t.co/cwdKz9u1VJ

[Jason Carman @jasonjoyride]

The way we do engineering today is a waste of time.

Flow, an ex-rocket company turned software, wants to change that on episode 7 of S³.

[Ti Morse @ti_morse]

First interview with Pari Singh (@parisingh), founder & CEO of Flow (@Flow_Engineer).

0:00 Pivoting from rocket engines to software
4:44 SpaceX's design process
12:22 How hardware teams will work in the future
14:51 What happens if China and the US go to war
20:57 Regulation
23:05 Future of war: networked autonomous systems
31:40 Agile vs iterative
34:47 Starting Flow
44:31 Figuring out the right path to build the company
49:09 Increasing scope until your underestimated
1:01:14 Building a special forces culture