AI Writes Code. LOCI Guards It.
GitHub PRs · CI/CD · Claude · Copilot · Cursor — fits your workflow.
AI writes the code. Agents ship the PRs. But what guards the compiled binary before it reaches production?
AI now writes more code than humans.The quality bar hasn't moved with it.
Every enterprise has rolled out Copilot, Cursor, or Claude Code in the last 18 months. Engineering velocity is up. So is the volume of code that reaches production without meaningful binary-level review.
AI-generated code at scale will break master.
AI PRs need an execution guardian.
Source-level tools can’t see it
SAST reads source code. It can’t see stack overflows, CFI violations, or the arithmetic the compiler actually emitted. The binary is the truth; the source is a prediction.
Observability is too late
Datadog, Dynatrace, and New Relic measure after deploy. By the time they fire, customers have already experienced the quality regression. Shift-left isn’t a slogan — it’s a structural gap.
The review bottleneck
Human reviewers can’t keep up with AI-generated PR volume. Engineering leaders need governance that scales with the agents, not with headcount.
“The binary is the only source of truth for how software actually behaves. AI-generated code makes that truth more urgent, not less.”
The gap is clear — source-level tools miss what matters. Here's the guardian agent that reads the compiled binary instead.
A Human-on-the-Loop Agentfor AI-generated code.
LOCI sits between the coding agent and your merge. It reads the compiled binary — ELF, Mach-O, PTX, Wasm, JVM, CPython — and predicts five execution signals. You review the evidence. You approve or block.
01
Preflight
Audit the plan.
Before the coding agent writes a line, LOCI models the incremental binary and feeds impact back. The agent adjusts before committing to code.
02
Post-Edit
PR feedback.
On every PR, LOCI diffs the baseline against the new binary across all five signals and annotates quality regressions inline with the code change.
03
Verdict
Human decides.
You see the signal diff on the PR. Approve or block with evidence, not hope. Over time, LOCI calibrates to your quality bar.
15 seconds. · Two binaries in. · Verdict out. · No source required.
Five execution signals
Response Time
Tail-latency regressions, worst-case execution paths, latency budget violations
Throughput
Bottlenecks from agent-written loops, saturation under concurrency, degraded hot paths
Call Graph / CFI
Unsafe execution patterns, CFI violations, stack overflows — bugs source review can’t see
Flame Graph
CPU hotspots from binary, inefficient loops, GPU kernel divergence (CUDA)
Power / Energy
Per-function energy cost — critical for embedded, mobile, edge, automotive
Five execution signals, one agentic workflow, a human-on-the-loop verdict on every PR. Now, who stands behind it.
Backed by the companies thatdepend on binary quality.
Strategic investors from global automotive, electronics, and safety standards. Financial investors across North America, EMEA, and Asia. Technology alliances with the platforms LOCI runs on.
Strategic & financial investors
Porsche SE
Automotive OEM · strategic
Toyota Tsusho
Global automotive trading & investment
LG
Electronics & automotive components
UL
Safety science & standards
Marius Nacht
Co-founder, Check Point Software
Maniv Mobility
Mobility-focused venture
FM Capital
Investment fund
MizMaa Ventures
Cross-border venture
Champion Motors
Automotive group
Colmobil
Automotive group
MSV
Investment fund
KI Park
German AI innovation
Technology partners & alliances
NVIDIA Inception
GPU execution analysis · CUDA / PTX
ARM
Embedded binary support
Microsoft
Azure integration, Windows binary
Infineon
Automotive microcontroller ecosystem
STMicroelectronics
STM32 reference designs
NTT
Enterprise network & infrastructure
FISITA
International automotive engineering
Anthropic Claude Code
Native MCP integration
GitHub
Marketplace & PR verdict integration
AWS Marketplace
SaaS subscription & cloud deployment
Customers & design wins
LOCI is deployed or in active evaluation across Tier 1 automotive suppliers, semiconductor IP vendors, embedded software platforms, and AI-platform infrastructure providers. Reference calls available under NDA.
Tier 1 Automotive
Safety-critical firmware · paid production deployment
Semiconductor IP
Reference BSP / driver execution governance
Embedded Platforms
RTOS & BLE firmware teams
AI Infrastructure
GPU kernel & inference binary optimization
Strategic investors and platform partners chose Aurora Labs for a reason. The compliance foundation is already in place.
Built forregulated industries.
Aurora Labs operates under the certifications required by automotive, industrial, and safety-critical customers.
ISO 27001
Information security management — required for every enterprise security review.
ASPICE Level 2
Automotive software process improvement — Tier 1 and OEM supplier standard.
ASIL-B / ISO 26262
Functional safety for automotive. LOCI outputs feed directly into ASIL evidence chains.
ISO 9001
Quality management across product and engineering processes.
ISO 21434
Cybersecurity engineering for road vehicles. Critical for secure software development lifecycles.
UNECE R155 & MISRA C:2025
Cybersecurity and coding-standard compliance ready on day one.
Certifications open the door. The technology behind LOCI — a purpose-built model trained on real compiled binary workloads — keeps it open.
A vertical agentbuilt on six years of real workloads.
LOCI is powered by LCLM — small, specialized code language models trained on billions of ASM blocks from hundreds of real-time production projects over six years. up to ~220× cheaper per query than general LLM tokens. Not fine-tuned from a general model. Trained on real workloads running on real hardware.
Bounded by physics, not by tokens
General-purpose LLMs generate text probabilistically — they can hallucinate any value. LCLM is a small, specialized model — ~220× cheaper per query — whose predictions are bounded by measured execution from real hardware. Every signal has a physical floor and ceiling.
No runtime. No instrumentation.
LOCI reads compiled binaries directly. Your team keeps its build system, CI pipeline, and code intact. Three lines of YAML in a GitHub Action or Claude Code MCP call — you have an execution guardian on every PR.
The data moat
Six years of continuous production traces across real CPU and GPU silicon. This dataset can’t be purchased, scraped, or synthesized. A competitor starting today would need six years to catch up.
Hardware-aware by construction
Separate model heads per CPU and GPU architecture family. Cache hierarchy, pipeline stages, branch prediction, and energy-per-instruction all encoded at training time.
Binary format support
ELF
C, C++, Rust, Go, Zig · Linux, embedded, RTOS
Mach-O
Swift, C/C++ · macOS, iOS
PTX / SASS
CUDA · GPU
Wasm
WebAssembly · Browser, edge
A vertical agent bounded by physics, not tokens. Here's how the industry has recognized that approach.
Aurora Labsin the industry.
Standards & working groups
- ·Contributor to automotive cybersecurity standards (ISO 21434)
- ·Active member, FISITA international automotive engineering
- ·Participant, KI Park German AI innovation initiatives
- ·Integrated with AUTOSAR, MISRA C:2025, and UNECE R155 compliance workflows
Platform partnerships
- ·NVIDIA Inception program member (GPU execution analysis)
- ·Anthropic Claude Code launch partner (MCP-native integration)
- ·GitHub Marketplace and Actions certified
- ·AWS Marketplace — SaaS subscription listed
- ·Recognized by ARM, Infineon, STMicroelectronics ecosystems
Intellectual property
- ·120+ granted patents across binary analysis, ML for code, execution prediction, CI/CD governance
- ·Jurisdictional coverage: US, EU, Japan, and additional strategic markets
- ·Deep filings in power estimation and control-flow analysis from binary
Industry category (Gartner alignment)
- ·AI TRiSM — trust, risk, and security management for AI-generated code
- ·Multiagent Systems — validates agent output with execution signals, not just monitors
- ·Platform Engineering — binary-level execution guardian embedded in CI/CD
- ·First vendor integrating MCP into a binary-level quality workflow
From execution signals to industry standards, the guardian agent is production-ready. The next step depends on you.
Depending on howyou came to this page.
For Customers
Engineering leaders · CTOs · VP Eng
- →See LOCI on a real PR — live demo available
- →Self-serve install from GitHub, AWS Marketplace, Cursor, or Claude Code Marketplace
- →Enterprise evaluation programs available
- →Reference calls with existing deployments (under NDA)
- →POC engagement on your repo, your CI, your workflow
For Partners
Platforms · ecosystems · channels
- →MCP integration for agent platforms
- →OEM embed for developer tools and IDEs
- →Reseller & regional partnership programs
- →Co-marketing: white papers, webinars, joint customer stories
- →Technology alliances for chip architectures, toolchains, & cloud platforms
For Investors
Strategic · financial · analysts
→Briefings for strategic investors aligned with automotive, safety, developer tooling, or AI infrastructure theses
→Category creation opportunity: pre-merge execution guardian
→Moat framework: six-year production trace dataset, 120+ patents, vertical agent architecture
→Access to leadership for due diligence conversations
→Public materials: patents, certifications, press, product documentation
Whether you're a customer, partner, or investor — the compiled binary doesn't wait. Neither should your evaluation.
“The binary is the truth. LOCI is the agent that reads it.”
Tel Aviv · San Francisco · auroralabs.com