Every service is delivered by an operator who has done the job — not studied it. Engagements are scoped in weeks, not quarters, and end in decisions.
You have a chip, an accelerator, or an algorithm that outperforms. The customer sees a datasheet and a risk. We close that gap.
The developer surface is the product. We define the driver, runtime, compiler or toolchain, sample applications, and documentation that make integration a two-week task instead of a six-month one.
One piece of IP, several products. We tier features, performance, and pricing so you can serve the lead customer today without giving away the roadmap.
Reference designs, evaluation kits, and the collateral a field team actually uses. Then we help you pick the first three customers who will pull the rest of the market.
An autonomy stack that runs on the bench is a demo. One that runs on a fleet, in the rain, with a safety case, is a product. The difference is architecture.
Camera, radar, and novel sensing modalities; time synchronization; the data path from photons to decision inside a latency budget you can defend.
Model deployment on constrained compute — accelerators, custom silicon, or commodity SoCs — designed around the deployment's cost model, not just its milliseconds.
Telemetry ingestion, fleet coordination, remote operations, over-the-air updates, and the data loop that turns field miles into a better model.
Automotive is a process you get qualified for. We have sat in the OEM and Tier 1 rooms where design wins are decided, on both sides of the table.
Who to talk to, in what order, with what evidence. We help you build the relationships and the technical story that survive a two-year sourcing cycle.
ISO 26262 and ASPICE are the language of the industry, not paperwork. We get your process, artifacts, and organization to where an assessor — and a customer — will accept them.
Platform positioning, ecosystem alignment (compute platforms, networking, sensors), and the timing that puts you on the roadmap rather than chasing it.
Sometimes the fastest way to fix engineering is to run it for a while. We step in as fractional VP Engineering, stabilize, and hand off to the leader you hire.
Own the roadmap, the release train, and the customer escalations for a defined period. Set the bar the permanent hire will inherit.
Team structure, seniority mix, global footprint, and the interview loop that hires for scar tissue rather than pedigree.
Post-merger product and team integration; CI/CD, validation, and production-readiness processes that let a startup behave like a supplier.
An operator's read, not an analyst's checklist. We tell you whether the technology is what the deck says, whether the team can ship it, and what it will cost to find out.
Is the moat real? Is the architecture scalable? What are the three risks nobody has mentioned? Code, silicon, and data pipeline reviewed by someone who has built each.
Who actually built it, who is leaving, and whether the organization can go from ten to a hundred without breaking.
Ongoing advisory to portfolio companies in deep tech: quarterly reviews, key hires, customer introductions, and a sounding board for the founder.
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.
Which beachhead, which customer archetype, which proof point — and the order that compounds instead of scatters.
Where your engineering hours create differentiation and where they don't. Partnerships with OS, chip, and cloud vendors that extend your reach.
SDK licensing, ecosystem incentives, and pricing that grows with adoption. Lessons from networking, automotive, and consumer platforms applied to yours.
Monthly cadence, on call for the hard decisions. Board-observer seat where useful.
Two to six weeks on a defined question — architecture, market entry, diligence — ending in a written recommendation.
Part-time VP Engineering or CTO-level ownership for three to twelve months.
Deal diligence and portfolio support for funds active in deep tech and Physical AI.
Orbital compute, space robotics, ground segment and TT&C, optical links, and launch software layers — a dedicated practice for ventures that need to ship.
See services for space venturesMost engagements start with a one-hour call and a candid opinion. No proposal until we agree there is something worth doing.