Red Tomatoes Enterprises works with founders, executives, and investors in Physical AI, edge inference, automotive, and semiconductors — closing the distance between a working prototype and a business that ships, scales, and gets paid.
A tape-out that comes back clean, an autonomy stack that runs on the bench, an inference engine that beats the benchmark — none of these is a product yet. The product is the software, tooling, integration path, and organization that lets a customer adopt it in production. That is the work we do.
Turn a chip, accelerator, or algorithm into something a customer can integrate: SDK, tools, reference designs, segmentation, and the first three design wins.
How we do it →Sensor fusion, real-time pipelines, inference at the edge, and the edge-to-cloud plumbing that keeps a fleet learning after it leaves the factory.
How we do it →OEM and Tier 1 engagement, functional safety and ASPICE readiness, and a design-win strategy timed to how automotive actually buys.
How we do it →Fractional VP Engineering, organization design, hiring, release discipline, and post-merger integration — until you have the leader who does it full-time.
How we do it →For investors and acquirers: an operator's read on the technology, the team, the roadmap, and whether the story survives contact with a customer.
How we do it →Where the market is going, which segment to enter first, what to build versus partner, and how to price a platform so the ecosystem does the selling.
How we do it →The same pattern shows up in every one of these: a hard technology, a market that hasn't quite arrived, and a customer who needs it to work in production, now.
Sensing, localization, embodied inference, and the systems around them.
Accelerators, inference SoCs, and distributed edge intelligence.
In-vehicle networking, ADAS data paths, safety, and the OEM process.
Ethernet controllers, TSN, and the software that makes silicon adoptable.
Telemetry, fleet operations, OTA, and the data loop that improves the product.
Consumer and industrial devices, audio and video pipelines, and the cloud behind them.
Orbital compute, space robotics and servicing, optical links, ground segment & TT&C, and launch software layers — a dedicated practice for ventures that need to ship. →
The next generation of space companies will be defined by what runs on the vehicle, what runs on the ground, and what customers can build on top. We help space ventures design that software and build the organization that ships it.
Explore the space practiceWe are not a slide factory. Every engagement is led by someone who has run the function they are advising on, and ends with decisions — not options.
Two to three weeks inside the technology, the team, and the customer conversations. We read the code and the contracts.
A written point of view: what to build, what to buy, whom to sell to first, and what to stop doing. Argued, not hedged.
Where it helps, we stay to execute — running engineering, standing up the SDK, or sitting in the OEM meeting with you.
We work ourselves out of the job: the process, the people, and the customer relationships stay with you.
The chip is not the product. The chip plus the software that makes it adoptable is the product. Everything we do starts from that sentence.
Start the SDK before the tape-out, simulate the silicon, and the first samples come back into a working system rather than a lab.
4 min read Physical AIThe model is a tenth of it. Timing, plumbing, thermals, OTA, safety cases, and the fleet data loop decide whether the robot works on a rainy Tuesday.
3 min read AutomotiveAutomotive is not a market you sell into. It's a process you get qualified for — and the qualification is the language.
3 min readTell us where you are — prototype, first customer, Series A, or stuck — and we'll tell you, candidly, whether and how we can help.