Industries

Binary in.Signals out. Per function.

No runtime. No instrumentation. No profiler. LOCI reads the compiled artifact (ELF, .so, .out, kernel) and delivers timing, energy, stack, throughput, and memory evidence at function granularity. Every sector below is one example.

InBinary · ELF · .so · .out · kernel

→

No runtimeStatic · LCLM · Zero instrumentation

→

Out · per functionTiming · Energy · Stack · Throughput · Memory

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.

— Claude Code· BLE_TI session · 2026-04

Digital Twin

Digital TwinRuntime-grade validation

Simulation fidelity meets production binaries. LOCI validates the runtime stack behind the twin — not only the CAD, mesh, or model layer.

Most twins validate the model.LOCI validates the runtime behavior.

The real risk lives in the binary.Control code. AI workloads. Embedded execution.

Execution intelligence before deployment.Timing, energy, pressure, and safety margins.

Twin Gate closes the loop.From production binary to workload-aware validation.

Talk to us about Digital Twin →Product overview

◇Scenario · optimize sensor read pathIllustrative

pattern from:Digital twin · runtime stackbinary Δ

LOCI · Twin Gate · Δ vs v2.7.1

from binary modeling · no runtime

sensor_array_update()

Peak voltage3.2 V→4.7 V+47%

inference_step()

Tokens/sec142→122−14%

pump_actuate()⊕ RUL-LLM

RUL impact—→−8%wear

control_loop_tick()

Cycles420→423+0.7%

Block2 silent regressions · 1 wear warning

Twin measures behavior. LOCI measures function-level execution.
These would only surface in the field.

⊕ RUL impact co-reasoned with a specialized degradation LLM. All other signals from binary modeling statically.

Drones

Flight stacksBench-to-airframe evidence

Rotor control, SLAM, and RF-heavy firmware ship under hard weight and power envelopes. LOCI reads the compiled flight stack before the field trial.

Microseconds and milliamps decide flight.Bench-only metrics miss them.

PX4, ArduPilot, custom ESC code.Cross-compiled for ARM, then airborne.

Latency cliffs and stack depth.Surfaced before bench spin-up.

Field bundles inherit the gate.Same evidence as the dev build.

Talk to us about Flight stacks →Product overview

◇Scenario · tune attitude EKF gainsIllustrative

pattern from:PX4 · attitude controllerarm-none-eabi

LOCI · Pre-flight gate · Δ vs v1.13.2

from binary modeling · no runtime

RateControl::run()2.0 ms budget

WCET1.6 ms→1.8 ms+12%

AttitudeEstimator::predict()8 KB budget

Stack3.8 KB→4.2 KB+10%

IMU::sample()±50 µs budget

Jitter±18 µs→±18 µsstable

RadioControl::poll()poll loop

Avg W0.42 W→0.47 W+12%

airframe endurance · 4S 5200 mAh−14% flight

Hover time28.4 min→24.3 min−4.1 min

Agent · proceedwithin flight budgets · 1 advisory

WCET 0.2 ms under 2 ms budget · stack 48% headroom.
Power advisory: +12% on the poll loop projects to −4.1 min hover on a 4S 5200 mAh pack — non-blocking but flight-plan-relevant.

Automotive

Mixed-criticalitySign-off evidence

AUTOSAR Classic to Adaptive. LOCI runs LCLM on the linked ELF — the same image that goes to HIL and into the vehicle.

ECUs are mixed-criticality by default.Audits expect the artifact, not the story.

MISRA · ASPICE · ISO 26262.Already aligned with how OEMs reason.

Memory, timing, energy on the binary.Argumentation a Tier-1 will accept.

Verdicts gate Azure DevOps merges.Guardian on the loop.

Talk to us about Mixed-criticality →Product overview

◇Scenario · vectorize stereo depthIllustrative

pattern from:AUTOSAR · ADAS stack on S32GASIL-D

LOCI · Sign-off evidence · Δ vs v3.2.7

from binary modeling · no runtime

8-core SoC · per-core utilization

C038%

C147%

C252%

C391%

island · ASIL-D

C422%

C535%

C644%

C733%

sensor_fusion::merge()Core 3 · 3.5 ms slot

WCET2.8 ms→4.2 ms+50%

event_chain (sense→fuse→plan→actuate)30 ms · 30 Hz ADAS loop

End-to-end25 ms→38 ms+52%

AEB feature availability⊕ Avail-LLM

SLA99.97%→99.41%−0.56pp

island Core 3 · ASIL-D⊕ Power-LLM

Sustained W1.8 W→3.1 W+72%

BlockASIL-D event chain budget violation

Island Core 3 (safety partition) cannot bleed into the general partition.
Event chain misses the 30 ms ADAS deadline; AEB SLA drops below target.
Sustained power breaks the 3 W ASIL-D island budget — passive-cooling envelope exceeded.

⊕ Availability SLA and sustained-W co-reasoned with an automotive safety / power model. WCET and event chain from binary modeling statically.

RTL · AI-EDA

Pre-siliconExecution intelligence

Workload-aware RTL validation starts from the binary. LOCI gives sim, emulation, formal, and AI copilots the missing software-stress signal — before silicon exists.

Sim, emulation, formal, copilots.They rarely see real workload behavior.

Compiled workloads in.ELFs · firmware · kernels · inference stacks.

Workload-driven execution signals out.Aligned with blocks and power intent.

Same EDA stack you trust.Now with software awareness.

Talk to us about Pre-silicon →Product overview

◇Scenario · vectorize matmul · reduce stallsIllustrative

pattern from:RTL · llama-decode workloadVerilator · workload Δ

LOCI · Pre-silicon evidence

from binary modeling · no runtime

RTL block utilization · llama-decode workload

COMPUTE84%

ALU array

MEM_CTL61%

NoC38%

IO12%

COMPUTE::matmul_tile80% ceiling

Reg pressure74%→93%+19pp

NoC::route_packet

Hop latency3 cyc→4 cyc+33%

Perf / Watt⊕ Avail-LLM

ML throughput42 tok/J→36 tok/J−14%

Blockhot block exceeds power-intent envelope

COMPUTE block sustains 84% utilization on the inference workload — above the 75% power-intent ceiling. Fix the RTL before silicon spin, not after.

⊕ Perf/W projection co-reasoned with a workload-availability model. Per-block utilization from binary-driven workload replay.

AI fabric

Scale-out fabricsHot-path truth

NCCL, RDMA, and custom kernels at fabric scale. LOCI reads the GPU and host binaries — throughput claims must match instruction reality.

Aggregate TFLOPS hide quality regressions.Hot paths are where they live.

PTX/SASS plus host-side .so.Same binary that hits the cluster.

Ceilings and contention surfaced early.Before burn-in budgets explode.

Verdicts wired to PR owners.Slack and PagerDuty on every delta.

Talk to us about Scale-out fabrics →Product overview

◇Scenario · tune ncclAllReduce chunk sizeIllustrative

pattern from:NCCL · 8-rank all-reducePTX · SASS · RDMA

LOCI · Hot-path truth

from binary modeling · no runtime

8-rank all-reduce · throughput (Gbps)

R0196

R1198

R2192

R3142

outlier

R4197

R5199

R6195

R7197

ncclAllReduceTreeKernel64 = spill threshold

Reg pressure48→64+spill

rdma_post_send (host)

P99 latency2.1 µs→2.4 µs+14%

all-reduce · 8 ranksfleet baseline 1570 Gbps

Aggregate1576 Gbps→1516 Gbps−3.8%

Blockrank R3 throughput below fleet baseline

R3 falls to 142 Gbps while peer ranks hold ≥192 Gbps. Reg-pressure regression on the reduction kernel pins the cause to the new tile size — not topology.

IoT

Constrained devicesLong-lived fleets

MCU firmware and gateway code outlive the team that wrote v1. LOCI predicts stack, timing, and energy on the binary — every release.

8 KB RAM is law.Stacks and ISR latency don't forgive.

Zephyr, FreeRTOS, vendor SDKs.Tiny units, big consequences.

Energy and worst-case before soak.Drain predicted from the build.

OTA bands inherit the gate.Field fleets stay inside envelope.

Talk to us about Constrained devices →Product overview

◇Scenario · bump Zephyr vendor SDKIllustrative

pattern from:Zephyr · MPU partitionsARM Cortex-M33

LOCI · IoT gate

from binary modeling · no runtime

Per-task stack vs budget · Zephyr partitions

idle

0.6 / 1.0 KB

lwm2m_engine

2.3 / 2.0 KBover

bt_rx

1.4 / 2.0 KB

sensor_poll

0.9 / 1.5 KB

lwm2m_engine_step()2 KB budget

Stack worst2.0 KB→2.3 KB+15%

bt_conn_recv() · ISR80 µs budget

Latency42 µs→48 µs+14%

sensor_poll · main loop

Energy / wake118 µJ→121 µJ+2.5%

Blocklwm2m_engine stack exceeds partition budget

Stack grew 2.0 → 2.3 KB on lwm2m_engine — over the declared CONFIG_LWM2M_ENGINE_STACK_SIZE. Would fault on field fleets where MPU is enabled.

Industrial BLE

Wireless MCUsGATT-grade evidence

TI CC2674 + BMI160 over SPI/DMA. LOCI's preflight + post-edit loop turned a software sqrtf on the notify path into a measured vsqrt fix — before OTA.

Notify-path math hidden in libm.Microseconds the spec sheet missed.

SysConfig pins and tiarmclang.Binary truth, not vendor lore.

fast_sqrtf with inline vsqrt.Re-measured before merge.

20 Hz notify · CR2032 budget.Worst-case CPU and energy as evidence.

Talk to us about Wireless MCUs →Product overview

⤴Session 2026-04-24 · fast_sqrtf · inline vsqrt on notify path

recompile:multi_role.out · pre→multi_role.out · postCC2674P10 · Cortex-M33F · Δ

LOCI · Notify-path evidence · captured

from binary modeling · no runtime

Notify chain · per-stage WCET (ns)

BMI160_read2,100 → 2,100 ns

tilt_compute · sqrtf → vsqrt5,000 → 65 ns

att_send_notify3,400 → 3,400 ns

fast_sqrtf · libm vs vsqrt.f3220 Hz · 50 ms slot

WCET5,000 ns→65 ns−77×

notify · end-to-end50 ms slot

WCET10,500 ns→5,565 ns−47%

CR2032 projection⊕ Energy-LLM

Notify-path J—→−42%extends life

Agent · proceed20 Hz notify cadence holds · CR2032 budget intact

sqrtf software loop on the GATT notify path replaced with inline vsqrt.f32. Worst-case notify-path WCET drops 5,000 ns → 65 ns — CR2032 projection regains margin.

Mobile

Native-firstJank-and-thermal evidence

Kotlin/Swift up top, NDK and Metal under the hood. LOCI reads the JNI and GPU paths — where jank and thermal actually live.

Compose preview is not the truth.Mach-O and ELF are.

AAB and IPA slices.Native bridges compile through them.

Latency and memory on the binary.Not just frame charts.

Store submissions inherit the gate.Same snapshot as CI.

Talk to us about Native-first →Product overview

◇Scenario · refactor pull-to-refresh · cache-warm JNIIllustrative

pattern from:Android AAB · JNI native sliceAAB · arm64-v8a

LOCI · Native-slice evidence

from binary modeling · no runtime

Native-slice frame budget · 16.6 ms slot

Compose layout1.8 ms

JNI bridge · Refresh14.2 ms

Metal render2.1 ms

18.1 ms total · misses budget under sustained load

JNI_OnRefresh · native bridge16.6 ms / 60 fps

P99 frame9.8 ms→14.2 ms+45%

metal::pull_refresh.metallib

GPU time1.9 ms→2.1 ms+10%

JNI_OnRefresh · sustainedper refresh tick

Wake energy0.42 mJ→0.61 mJ+45%

battery projection · 1 hr scroll⊕ Battery-LLM

Draw—→+8 mAh−14 min runtime

sustained-load projection⊕ Thermal-LLM

Thermal slot—→−frames≥ 8 min

Advisoryframe slot intact · battery + thermal cost projected

JNI bridge P99 rises 9.8 → 14.2 ms — inside the 16.6 ms slot. Extra wake-energy projects to ~14 min less runtime per hour of scroll and thermal throttling at ≥ 8 min sustained.

Gateways

Edge aggregationCrypto-grade gates

OpenWrt and Yocto stacks. TLS terminator and packet path at scale — LOCI reads worst-case before the box hits a customer VLAN.

TLS dominates edge CPU.Worst-case shows up under load.

Build farms emit firmware.The image that ships, not the lab one.

Timing on packet and handshake code.Before pen-test windows.

Customer CPE rolls only the gated build.Field truth on the binary.

Talk to us about Edge aggregation →Product overview

◇Scenario · openssl version bump · sec patchIllustrative

pattern from:OpenWrt · TLS terminatormips32 · CPE

LOCI · TLS evidence

from binary modeling · no runtime

TLS handshake · per-stage µs

ClientHello parse48 µs

ECDH key gen1,180 µs

AES_encrypt hot2,480 µs

ServerHello assemble210 µs

3,918 µs / 8,000 µs P99 handshake slot

AES_encrypt · openssl 3.0.14800 MHz mips32

Cycles / block918→1,021+11%

tls_handshake · P998 ms budget

WCET2.18 ms→2.48 ms+14%

nf_conntrack_find

Avg cycles312→314+0.6%

Advisoryhot loop regression inside handshake budget

AES_encrypt cycles per block up 11% — handshake P99 still inside 8 ms budget for the dev fleet. Projected to miss budget on the 800 MHz mips32 CPE tier under sustained VLAN load.

DB engines

Storage enginesInstruction-level p99

B-trees, buffer pools, vectorized operators. LOCI complements benchmarks with binary evidence on the engine you ship.

Query plans are not enough.p99 is an instruction property.

Optimized .so and static libs.Same artifact customers load.

Binary-level latency ceilings.Memory pressure on hot loops.

PR gates block latency regressions.Critical paths protected.

Talk to us about Storage engines →Product overview

◇Scenario · refactor BufferPool evictionIllustrative

pattern from:RocksDB-style enginex86_64 · AVX-512

LOCI · Engine evidence

from binary modeling · no runtime

Hot-loop vectorization · lanes used

BTreeIterator::next8 → 8 lanes

BufferPool::pin8 → 1 lanes

scan::project_cols4 → 4 lanes

AVX-512 capacity: 8 lanes (fp64) · 16 lanes (fp32)

BufferPool::pin · hot loopAVX-512 lost

Vector lanes8→1scalar

point-read · P99180 µs SLA

Latency142 µs→198 µs+39%

scan_qps · benchmarkpasses bench

Throughput1.42 M→1.40 M−1.4%

BlockSIMD vectorization lost on hot pin loop

BufferPool::pin dropped from AVX-512 (8 lanes) to scalar fallback — compiler couldn't prove no-alias on the new path. P99 read latency rises 142 → 198 µs above SLA.

Algo trading

Microsecond stacksRisk-bounded

Colo feeders and strategies in C++. LOCI reads the binaries on the wire — every quality regression is in dollars.

PnL is a microsecond function.Risk envelopes are hard.

libc and kernel ABIs are contracts.Each .so is a wire commitment.

Worst-case stress on hot paths.Before the exchange opens.

Change-advisory merges with deltas.Latency-critical functions tracked.

Talk to us about Microsecond stacks →Product overview

◇Scenario · refactor ITCH 5.0 decode · zero-copyIllustrative

pattern from:Colo feed handler · tick-to-tradex86_64 · colo

LOCI · Tick-to-trade evidence

from binary modeling · no runtime

Tick-to-trade · per-stage ns (5 µs target)

nic_rx · kernel-bypass420 → 420 ns

decode_itch380 → 920 ns

parse_quote510 → 540 ns

apply_signal · strategy1,240 → 1,260 ns

encode_order · OUCH 4.21,410 → 1,420 ns

nic_tx840 → 1,040 ns

4,800 ns → 5,600 ns end-to-end · over 5,000 ns target

decode_itch · ITCH 5.0cache-line alias

WCET380 ns→920 ns+142%

tick-to-trade · critical path5 µs target

End-to-end4.8 µs→5.6 µs+800 ns

PnL window · 1-min basis⊕ PnL-LLM

Slippage—→+0.4 bpdrag

Blockcritical path exceeds 5 µs tick-to-trade target

decode_itch grew 380 → 920 ns — cache-line aliasing with parse_quote. End-to-end tick-to-trade 4.8 → 5.6 µs. PnL window opens 800 ns later — measurable basis-point drag.