Aurora Labs
Aurora Labs builds LOCI, an AI-powered execution-intelligence platform that predicts software timing, power, memory, and latency from compiled binaries for automotive OEMs, embedded systems developers, AI infrastructure teams, and enterprise AI coding-agent workflows.
- Company typePrivate
- Founded2017
- HeadquartersTel Aviv, Israel
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Aurora Labs does
Aurora Labs, headquartered in Tel Aviv with offices in Germany, the United States, Japan, and North Macedonia, develops LOCI (Line-of-Code Intelligence), an execution-intelligence platform that predicts how compiled software will behave on real hardware before it runs. The company's core technology is a proprietary foundation model called LCLM (Large Code Language Model), trained on billions of real-silicon execution traces and 5B+ lines of C/C++ since 2017, delivering deterministic predictions of timing, power, memory, latency, and CPU/GPU behavior directly from compiled binaries (ELF, Mach-O, PTX/SASS, Wasm) without runtime instrumentation, simulators, or source-code access. Aurora Labs reports 120+ granted patents and alignment with ISO 26262/ASIL-B, ISO 21434, ISO 21448/SOTIF, ASPICE Level 2, and ISO 27001.
The platform serves automotive OEMs and Tier 1s (with notable integrations on Infineon AURIX TC4x MCUs and a T-Systems OTA partnership covering 30M+ vehicles), embedded systems developers, AI infrastructure teams running natively compiled services on AWS Graviton, and — increasingly — enterprise developers using AI coding agents such as Claude Code, Cursor, and GitHub Copilot, where LOCI operates as an MCP-exposed execution-aware guardian. The go-to-market blends product-led growth (a free tier for individuals and a $199/month Team plan) with enterprise direct sales (custom annual contracts with self-hosted/air-gapped deployment, SSO/SAML/RBAC, patent indemnification, and 4-hour priority SLAs), supplemented by channel partnerships including the AWS ISV Accelerate Program. Aurora Labs has raised approximately $97M across five disclosed rounds from 2017 to 2022, with strategic investors including Toyota Tsusho, Porsche SE, LG, and Moore Strategic Ventures.
Aurora Labs firmographics
Firmographics- Name
- Aurora Labs
- Legal name
- Aurora Labs
- Website
- https://auroralabs.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Aurora Labs builds LOCI, an AI-powered execution-intelligence platform that predicts software timing, power, memory, and latency from compiled binaries for automotive OEMs, embedded systems developers, AI infrastructure teams, and enterprise AI coding-agent workflows.
- Ownership category
- akta.pro rank
Aurora Labs industry classification
Industry- Product category
- Software Intelligence & Execution Prediction Platform
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), API Analytics, Monetization & Developer Experience Tooling (HDAEAIAJ)
Keywords
Where Aurora Labs is headquartered
LocationHeadquarters
- HQ city
- Tel Aviv
- HQ country
- Israel
- HQ region
- Middle East
Offices5 records
Markets served
Aurora Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription - Free Tier: Free tier for individual developers with 1 repository, Claude Code/Cursor/Copilot integration. No credit card required. Used for adoption and expansion into teams.
- Subscription - Team Plan: $199/month per team. Includes verdict + evidence on Plan, Write, PR, and Merge; IDE + CLI + GitHub/GitLab/Bitbucket App + MCP; standard support with 1 business day response. Self-hosted/air-gapped option included. No credit metering — verdicts capped per plan.
- Subscription - Enterprise: Custom annual contract with volume pricing. Includes unlimited seats, self-hosted/on-prem/air-gapped/AWS Marketplace VPC deployment, SSO/SAML/RBAC with audit trails, ISO 27001 + ASPICE/ISO 26262 alignment, 120+ patent indemnification, custom ISA targets, and Priority SLA (4-hr) with dedicated SE.
- AWS Marketplace: LOCI available via AWS Marketplace listing, enabling AWS customers to procure through existing cloud spend commitments. Part of AWS ISV Accelerate Program for co-sell motion.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free for individuals — 1 repository, Claude Code/Cursor/Copilot integration |
| Subscription | Monthly | $199/month Team plan — full pipeline coverage with GitHub/GitLab/Bitbucket + MCP |
| Subscription | Annual | Enterprise custom — unlimited seats, self-hosted/air-gapped, Priority SLA |
Go-to-market motion2 records
Distribution channels6 records
Marketing channels7 records
Aurora Labs product offering
Product offeringCore offering
Aurora Labs sells LOCI (Line-of-Code Intelligence), a software intelligence platform that reads compiled binaries and predicts how code will execute on real hardware — including timing, latency, power, memory, CPU throughput, and GPU behavior — without requiring runtime, instrumentation, simulators, or profilers. The platform integrates into AI coding agents (Claude Code, Cursor, GitHub Copilot) and CI/CD pipelines (GitHub, GitLab, Bitbucket, Azure DevOps) to provide execution-aware quality gates at the plan, write, PR, and merge stages. The company also sells Auto Update, an AI-powered OTA software update product for the automotive industry that delivers up to 97% smaller update files.
Product overview
Aurora Labs offers LOCI (Line-of-Code Intelligence), an execution-intelligence platform for AI coding agents that predicts software behavior from compiled binaries before runtime. The core LOCI platform is powered by AI Physics and the proprietary LCLM (Large Code Language Model), which together analyze binaries to predict timing, power, memory, and system effects. LOCI integrates natively with AI coding agents including Claude Code, Cursor, and GitHub Copilot via plugins and MCP server. The platform includes specialized capabilities: Auto Update for OTA software updates with 6x smaller file sizes, and LOCI 2.0 for AI Advisor Engineer functionality. Pricing tiers range from Free (individual) at $0/mo to Enterprise with custom pricing, with Team tier at $199/mo.
Differentiator
Problem solved
Functional benefit
Brands
- LOCI (Line-of-Code Intelligence™): AI-powered execution-intelligence platform that predicts software behavior from compiled binaries, providing timing, power, memory, and performance insights before code runs. Works as a quality gate for AI coding agents across the software development lifecycle.
Products and services
- LOCI (Line-of-Code Intelligence) Execution-intelligence platform that predicts how compiled code will behave on real hardware — timing, latency, power, memory, CPU/GPU performance — without runtime, instrumentation, simulator, or profiler. Acts as an execution-aware guardian for AI coding agents and provides engineering-grade evidence at the plan, write, PR, and merge stages. Targets automotive, embedded, cloud, and AI infrastructure engineering teams.
- Auto Update AI-powered over-the-air (OTA) software update solution for automotive ECUs. Generates additive differential updates with up to 97% smaller file sizes, 50% hardware memory savings, advanced rollback mechanism, and zero-downtime vehicle updates. Universal ECU compatibility (ELF, S-Rec, Intel HEX). Targets automotive manufacturers managing software-defined vehicle fleets.
- LOCI 2.0 LOCI 2.0 extends the LOCI platform as an AI Advisor Engineer that detects emerging software anomalies, provides branch progress guidance, identifies dead and cloned code across repositories, enables accurate targeted test development, and generates behavioral software protection signatures for intrusion detection. Early access was available in Visual Studio and GitHub stores.
Quantifiable outcome
- R² = 0.96 on held-out code with ~8% MAPE — verified on real silicon
- +9 more outcomes
Companies that use Aurora Labs
Customer profileNamed customers5 records
Segments5 records
Ideal customer profiles3 records
Aurora Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability7 records
Feature7 records
Aurora Labs partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered minor and core.
- MBDAminorAurora Labs announced a memorandum of understanding (MoU) with MBDA. Details of the agreement are not publicly disclosed.
- Amazon Web Services (AWS)coreAurora Labs accepted into AWS ISV Accelerate Program, enabling enhanced customer solutions through AWS's extensive global network. Program provides prioritized co-sell resources, closer collaboration with AWS sales teams, and sales compensation incentives for AWS Account Managers. Aurora Labs also has AWS Marketplace listing for VPC deployment.
- T-Systems (Deutsche Telekom)coreT-Systems and Aurora Labs collaborate to offer Aurora Labs' differential software update capabilities alongside T-Systems' end-to-end OTA platform to the automotive industry. The combined solution enables up to 97% smaller update files, additive updates with advanced rollback mechanism, and supports automotive manufacturers in optimizing time-to-market and TCO for Software Defined Vehicles. T-Systems' platform manages 30M+ vehicles with up to 99.99% update success rate. Solution demonstrated at Automobil-Elektronik Kongress in Ludwigsburg, Germany.
- Infineon TechnologiescoreInfineon and Aurora Labs developed AI-based predictive automotive maintenance solutions on Infineon's AURIX TC4x family of microcontrollers (MCUs). LOCI AI technology is implemented in the AURIX TC4x PPU (Parallel Processing Unit), a purpose-built AI accelerator. The solution enables real-time monitoring and response to software failures at MCU- and ECU-level according to WP29 requirements, protecting applications and OTA updates against malicious attacks and hardware safety failures. Also demonstrated at CES 2024.
- NVIDIA (Inception Program)coreLOCI validated on NVIDIA GPU architectures (SM_90/CUDA). Supports PTX/SASS binary analysis for GPU kernels. NVIDIA Inception Program member enabling GPU ecosystem collaboration.
- ArmcoreLOCI validated across full Arm architecture range — ARMv4T through ARMv9.2, Cortex-A/M/R, Neoverse. Trusted partner logo displayed on auroralabs.com. Arm architecture coverage is a core validation point.
- STMicroelectronicscoreSilicon ecosystem partner for LOCI validation. STM32 and other STMicroelectronics MCUs supported. Trusted partner logo displayed on auroralabs.com.
- MicrosoftcoreLOCI integrates with Microsoft tools and platforms. Trusted partner logo displayed on auroralabs.com.
- Deutsche Telekom / T-SystemscoreStrategic collaboration for OTA software updates. T-Systems is a subsidiary of Deutsche Telekom. Trusted partner logo displayed on auroralabs.com alongside OTA partnership.
Scale indicators10 records
Recent moves6 records
Expansion highlights7 records
Aurora Labs competitors and assessment
Company assessmentDirect peers
- Sonar (SonarQube / SonarCloud): Sonar is the leading developer platform for code quality and static analysis, directly comparable to LOCI's positioning as a code-quality gate integrated into CI/CD pipelines (GitHub, GitLab, Bitbucket, Azure DevOps). Like LOCI, Sonar sells to engineering leaders seeking pre-merge quality enforcement, though without execution-aware predictions.
- Cursor: Cursor is an AI code editor that already integrates LOCI as a quality guardian. As a peer, Cursor represents the agentic-coding ecosystem that Aurora Labs plugs into — and could, in principle, build or acquire its own execution-intelligence layer rather than relying on LOCI.
Broad incumbents
- Synopsys: Synopsys dominates EDA and automotive software quality (Coverity, CodeVision, SilverCreek) and owns incumbent static-analysis budgets at most semiconductor and OEM customers. Comparable to LOCI as a buyer of execution-level code intelligence in automotive/embedded, but offers a much broader portfolio without an AI coding-agent focus.
- Vector Informatik: Vector is the established supplier of automotive software development tools (DAVE, MICROSAR, CANoe), directly relevant to Aurora Labs' ECU and safety-critical customer base. Like Aurora Labs, Vector addresses ISO 26262 functional-safety tooling but is a 35-year incumbent with deep OEM relationships rather than a developer-led AI entrant.
- GitHub (Copilot + Advanced Security): GitHub owns the developer surface that LOCI integrates with (GitHub App, Actions, Copilot). GitHub Copilot's coding-agent workflow and Code Scanning/CodeQL are the most direct competitive threat to LOCI's quality-gate positioning — bundling execution signals would marginalize Aurora Labs.
- Parasoft: Parasoft provides static analysis, unit testing, and functional-safety tools certified for ISO 26262, DO-178C, and IEC 61508 — overlapping Aurora Labs' automotive and embedded safety-critical use cases. Like Synopsys and Vector, Parasoft owns legacy budgets that LOCI must displace.
- Elektrobit (Continental): Elektrobit provides automotive software platforms (EB tresos, EB corbos, EB Assist) including ECU and AUTOSAR tooling, OTA update infrastructure, and functional-safety engineering. Highly comparable to Aurora Labs' Auto Update and LOCI automotive positioning, with the backing of Continental and deep OEM entrenchment.
Emerging players
- Snyk: Snyk sells developer-first security and code-quality tooling (Snyk Code, Snyk IaC) into the same DevSecOps budget that LOCI targets. While Snyk focuses on vulnerability detection rather than execution prediction, both compete for the same engineering-leadership buyer with a similar PLG-plus-enterprise motion.
- CodeRabbit: CodeRabbit is an AI code-review agent operating inside GitHub and GitLab PR workflows — directly adjacent to LOCI's pre-merge quality-gate positioning. Both target engineering leaders seeking AI-driven review at PR time, though CodeRabbit focuses on review comments rather than execution-level predictions.
Others
- Lauterbach (TRACE32): Lauterbach's TRACE32 is the industry-standard hardware debugger/probe used to validate LOCI's predictions on real silicon. As an ecosystem enabler rather than direct competitor, Lauterbach represents the legacy instrumentation approach that LOCI explicitly replaces — 'without runtime, instrumentation, simulator, or profiler.'
Market position
Strengths4 records
Weaknesses4 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
Aurora Labs social profiles
Digital presenceAurora Labs compliance and trust
Trust signalCompliance6 records
Aurora Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Aurora Labs leadership team
Management profileNumber of profiles
Profiles9 records
Aurora Labs funding detail
Funding detailFunding overview
Funding rounds6 records
Investors13 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Aurora Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Aurora Labs
What does Aurora Labs do?
Aurora Labs sells LOCI (Line-of-Code Intelligence), a software intelligence platform that reads compiled binaries and predicts how code will execute on real hardware — including timing, latency, power, memory, CPU throughput, and GPU behavior — without requiring runtime, instrumentation, simulators, or profilers. The platform integrates into AI coding agents (Claude Code, Cursor, GitHub Copilot) and CI/CD pipelines (GitHub, GitLab, Bitbucket, Azure DevOps) to provide execution-aware quality gates at the plan, write, PR, and merge stages. The company also sells Auto Update, an AI-powered OTA software update product for the automotive industry that delivers up to 97% smaller update files.
Is Aurora Labs a public or private company?
Aurora Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Aurora Labs founded?
Aurora Labs was founded in 2017. It employs 51 to 100 people.
Where is Aurora Labs based?
Aurora Labs is headquartered in Tel Aviv, Israel, in the Middle East region.
How does Aurora Labs make money?
Four revenue lines are on record. Subscription - Free Tier is the primary driver. The others are subscription - Team Plan, subscription - Enterprise and AWS Marketplace.
Who are Aurora Labs's main competitors?
Direct peers on record are Sonar (SonarQube / SonarCloud) and Cursor. Broad incumbents are Synopsys, Vector Informatik, GitHub (Copilot + Advanced Security), Parasoft and Elektrobit (Continental). Emerging players are Snyk and CodeRabbit. Lauterbach (TRACE32) is listed as an others.
Does Aurora Labs have an API?
Yes. LOCI exposes its execution signals over the Model Context Protocol (MCP). Any MCP-capable agent can query execution state before deciding whether to proceed. LOCI 2.0 tokenizers are x1000 smaller than standard LLMs and trained using only 6 GPUs. Developer documentation is at docs.loci-dev.net.
What industry is Aurora Labs in?
Aurora Labs's product category is Software Intelligence & Execution Prediction Platform. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 513210 and its SIC code is 7372.