Industries
Execution intelligence for every mission-critical industry.
One behavioral engine. Multiple industries. Real execution awareness — from the compiled binary, before silicon.
InBinary · ELF · .so · .out · kernel
→No runtimeStatic · LCLM · zero instrumentation
→Out · per functionTiming · Energy · Stack · Throughput · Memory
Find your industry
Why execution intelligence matters in your domain.
Automotive
Mission-critical ECUs under functional-safety pressure.
The challenge
- Timing regressions
- Power budgets
- ISO 26262 / ASIL evidence
- Real-time deadlines (WCET)
LOCI validates
- Per-function timing & WCET
- Execution hotspots
- Power impact
- Regression risk, pre-merge
One engine, every industry
One behavioral engine. Every mission profile.
LOCI · Execution Intelligence Engine
One model · powered by AI Physics
↓ one engine, eight domains ↓
AutomotiveEmbeddedAI InfrastructureIndustrialRoboticsMedicalAerospaceNetworking
No per-industry retraining. The same execution model reads any compiled binary and prices it on the real workload.
Proof
Built for teams shipping software that runs the physical world.
Automotive ECUs AI accelerators Industrial controllers Networking equipment Embedded & IoT devices Robotics & autonomy
From an IoT / Embedded run · Claude’s words
Claude Codeverbatim
No hardware needed — we got nanosecond-precision predictions without flashing the CC2674P10 board, without a JTAG probe, without a power analyzer. The board doesn't even need to be on the desk. ~4–8 hours of engineering time replaced by seconds.
Silicon ecosystems we validate against
ARMNVIDIAInfineonSTMicroelectronicsRenesasTexas InstrumentsNXPMicrochip
ARM Cortex-A / Cortex-M · ARMv9.2 · Infineon TriCore — validated on real silicon · coverage expanding.