Aurora Labs

Aurora Labs is the company behind LOCI, an "execution guardian" positioned as an execution-intelligence layer between AI code generation and production. Rather than reviewing source code, LOCI predicts how compiled code will behave when it runs — timing and latency, power and energy, memory and cache use, regressions and broader system behavior — working from the binary and requiring no runtime instrumentation. It plugs into agentic coding workflows (Claude Code, GitHub, MCP) and validates at each stage of the loop — plan, write, PR and merge — surfacing warnings without blocking the workflow, and presenting results in a "Cockpit" UI that converts a coding-agent session into execution signals and a single verdict against timing, power, memory and contract budgets.

The underlying engine is described as "AI Physics": a small, fast foundation model for software execution trained on real workloads and platform traces from real-silicon execution rather than on source code. The company's model, LCLM, is reported to generalize to unseen code with R² = 0.96 and MAPE of approximately 8% on held-out code, and its outputs are framed as deterministic, physically bounded quantities (cycles, nanoseconds, energy) that can be checked by running the binary on hardware. Aurora Labs contrasts this specialist approach with frontier LLMs, which it says would cost up to roughly 220x more per query and predict from patterns rather than execution behavior.

LOCI is offered across several engineering domains — cloud, embedded, AI and RTL (the latter marked as new) — with the cloud variant measuring natively compiled services (NativeAOT .NET, Go, Rust, C/C++) on AWS Graviton in terms such as p99 latency, cost per request and carbon. The company states it holds 120+ granted patents across AI, execution analysis and software intelligence, and cites conformance with ISO 27001, ASPICE Level 2, ASIL-B / ISO 26262, ISO 9001 and ISO 21344 (with ISO 21434 cybersecurity engineering also referenced).

Business model

Aurora Labs sells LOCI as a platform available self-hosted or as SaaS, distributed through an MCP plugin for coding agents and an AWS Marketplace listing, and integrated with Git hosting (GitHub, GitLab, Bitbucket), Azure DevOps pipelines and common toolchains (GCC, Clang, LLVM, MSVC).

Traction

Marketing materials cite customer-reported outcomes including reduced data-acquisition effort, shorter test cycles, lower test-review effort and cloud cost savings, and a measured session on TI CC2674P10 hardware (BLE_TI) in which six issues were caught pre-merge across 27 checks with 21 of 27 items auto-verified and roughly eight hours of review effort saved.