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Hailo

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Hailo is an edge AI chipmaker whose Hailo-10H accelerator runs LLMs, VLMs, and 4K video analytics on-device at 2.5W — without cloud connectivity or GPU overhead.

AI Categories
Pricing Model
unknown
Skill Level
All Levels
Best For
Automotive & ADASSecurity & SurveillanceIndustrial AutomationRetail & Smart Checkout
Use Cases
on-device LLM inferencereal-time 4K video analyticsedge generative AI accelerationautomotive AI cockpit processing
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4.6/5
Overall Score
4+
Features
1
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0
User Reviews
Updated 14 Jun 2026
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What is Hailo?

Picture a smart security camera that can describe what it sees in plain language, or a vehicle dashboard that responds to natural speech without any cellular connection. Hailo makes these scenarios possible with purpose-built edge AI processors that run complex neural networks directly on compact hardware. The Hailo-10H, released commercially in July 2025, is the first discrete edge AI accelerator with native support for large language models and vision-language models — achieving first-token latency under one second and sustaining over 10 tokens per second on 2-billion parameter models, all at a typical power draw of just 2.5W. The fundamental problem with cloud-dependent AI inference is threefold: latency, privacy, and cost. Every inference round-trip to a cloud GPU adds tens to hundreds of milliseconds, exposes personally identifiable data to network transit, and incurs per-query billing that scales poorly for always-on applications. The Hailo-10H addresses all three simultaneously by processing data locally. Its M.2 form factor (Key M, 2242/2280) plugs into existing PCIe Gen-3 x4 slots on x86 or ARM hosts, supporting TensorFlow, PyTorch, ONNX, and Keras without requiring a platform migration. For video workloads, it handles YOLOv11m object detection on real-time 4K streams at the same 2.5W power envelope. For automotive programs, it carries AEC-Q100 Grade 2 qualification, targeting 2026 production start in cockpit displays and driver monitoring units. Hailo is not the right choice for teams running large-scale cloud training jobs or models larger than a few billion parameters — the Hailo-10H is designed for inference at the edge, not for research-scale model training, and its 8GB LPDDR4 on-module memory sets a practical ceiling on the model sizes it can serve without quantization.

Hailo is an edge AI chipmaker whose Hailo-10H accelerator runs LLMs, VLMs, and 4K video analytics on-device at 2.5W — without cloud connectivity or GPU overhead.

Hailo is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
Edge AI Processing
Hailo processors run complex neural networks entirely on-device using a proprietary structure-driven dataflow architecture, eliminating cloud inference latency and data privacy risks for applications in security cameras, industrial sensors, and automotive systems where real-time response is non-negotiable.
2
Generative AI Accelerators
The Hailo-10H M.2 module achieves first-token latency under one second and over 10 tokens per second on 2B-parameter language and vision-language models at just 2.5W — making it the first commercially available discrete edge chip to run LLM and VLM workloads entirely without cloud connectivity.
3
AI Vision Processors
The Hailo-15 series integrates advanced computer vision engines directly into camera hardware, enabling state-of-the-art capabilities like AI-ISP denoising in extreme low light, dynamic privacy masking, and real-time object detection on 4K video streams within the power constraints of IP camera form factors.
4
Comprehensive Software Suite
Hailo's software ecosystem includes the Dataflow Compiler for model optimization, HailoRT runtime, a Model Zoo with pre-optimized networks, and TAPPAS Vision Processor packages — all maintained for an active community of over 10,000 monthly developers across TensorFlow, PyTorch, ONNX, and Keras frameworks.

Detailed Ratings

⭐ 4.6/5 Overall
Accuracy and Reliability
4.8
Ease of Use
4.5
Functionality and Features
4.9
Performance and Speed
4.7
Customization and Flexibility
4.6
Data Privacy and Security
4.8
Support and Resources
4.5
Cost-Efficiency
4.4
Integration Capabilities
4.5

Pros & Cons

✓ Pros (4)
High Performance The Hailo-10H delivers 40 TOPS of INT4 compute performance and handles YOLOv11m object detection on real-time 4K video streams — benchmarks that establish it as the most capable discrete edge AI accelerator currently available at its power and cost tier.
Energy Efficiency At a typical power draw of 2.5W, the Hailo-10H enables always-on AI inference in devices where a 10W GPU module would require active cooling, larger batteries, or a fundamentally different thermal design — a meaningful engineering advantage for mobile, automotive, and embedded form factors.
Scalability The Hailo product line covers entry-level vision tasks with the Hailo-8L, high-performance vision with the Hailo-8 and Hailo-15 series, and generative AI inference with the Hailo-10H — allowing engineering teams to select the right price-performance point for each product in their portfolio without switching silicon vendors.
Developer Support An active community of over 10,000 monthly developers, a mature software stack covering TensorFlow, PyTorch, and ONNX, and a Model Zoo with pre-optimized networks significantly reduce the time from hardware procurement to first working deployment for embedded AI engineering teams.
✕ Cons (3)
Specialized Hardware Requirements Adding Hailo AI acceleration requires an available PCIe M.2 slot or direct SoC integration, which is straightforward for new product designs but constrains retrofit options for existing deployed hardware that lacks the required interface — limiting upgrade paths for installed security camera or industrial sensor fleets without physical hardware replacement.
Complex Technology Optimizing models for Hailo silicon requires compiling through the Hailo Dataflow Compiler, which introduces quantization and graph-optimization steps beyond standard ONNX or TensorRT workflows — teams without embedded AI engineering experience will spend meaningful time on this toolchain before achieving production-quality inference results.
Cost Hailo's processors command a price premium over commodity ARM-based inference solutions, and the total system cost including M.2 host hardware, integration engineering, and software licensing can make the business case challenging for low-volume deployments where cloud inference costs are still modest.

Who Uses Hailo?

Automotive Manufacturers
Integrating Hailo-10H into cockpit display and driver monitoring systems targeting 2026 production, using its AEC-Q100 Grade 2 qualification and multi-modal AI capability to enable voice-based human-machine interfaces and vision-based driver state detection without relying on cellular uplinks.
Security and Surveillance
Deploying Hailo-15 vision processors in IP cameras for real-time 4K object detection, AI-ISP image enhancement, and dynamic privacy masking — enabling advanced threat detection and search-and-index capabilities at the camera edge without requiring centralized GPU servers for video analytics.
Industrial Automation
Running optical inspection and anomaly detection models on Hailo-8 accelerators embedded in production line cameras, achieving sub-10ms detection latency required for high-speed manufacturing QA without the network dependency that would make cloud inference impractical in factory environments.
Retail Businesses
Powering computer vision checkout systems like Fujitsu's HP AI module with Hailo-10H to automate item recognition and reduce shrinkage at point-of-sale, cutting both cloud inference costs and checkout transaction time in high-volume retail environments.
Uncommon Use Cases
Healthcare facilities using Hailo-15 vision processors in medical imaging edge devices for real-time diagnostic support, keeping patient scan data entirely on-site to meet regulatory data residency requirements while achieving the sub-second response times that cloud-round-trip inference cannot reliably guarantee in clinical workflows.

Hailo vs Lutra AI vs Convergence vs Illumex

Detailed side-by-side comparison of Hailo with Lutra AI, Convergence, Illumex — pricing, features, pros & cons, and expert verdict.

Compare
Hailo
unknown
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Lutra AI
Freemium
Visit ↗
Convergence
Free
Visit ↗
Illumex
unknown
Visit ↗
💰Pricing
unknownFreemiumFreeunknown
Rating
🆓Free Trial
Key Features
  • Edge AI Processing
  • Generative AI Accelerators
  • AI Vision Processors
  • Comprehensive Software Suite
  • Effortless Automation with Natural Language
  • AI-Driven Data Extraction and Enrichment
  • Pre-Integrated for Quick Deployment
  • Secure and Reliable
  • Natural Language Processing
  • Task Automation
  • Web Interaction
  • Parallel Processing
  • Augmented Analytics Creation
  • Suggestive Data & Analytics Utilization Monitoring
  • Automated Knowledge Documentation
  • Semantic AI-Enabled Data Fabric
👍Pros
The Hailo-10H delivers 40 TOPS of INT4 compute performa
At a typical power draw of 2.5W, the Hailo-10H enables
The Hailo product line covers entry-level vision tasks
Describing a workflow in plain English and having it ex
Data extraction and enrichment tasks that take an analy
Pre-built connections to Airtable, Slack, HubSpot, Goog
Proxy handles the full execution of delegated tasks aut
At $20 per month for the Pro tier, Convergence provides
Natural language task setup removes the technical barri
Illumex's live duplication detection and semantic asset
By maintaining a single, semantically consistent defini
The platform's semantic layer grows more contextually a
👎Cons
Adding Hailo AI acceleration requires an available PCIe
Optimizing models for Hailo silicon requires compiling
Hailo's processors command a price premium over commodi
Users new to automation concepts may initially write in
Workflows connecting to tools outside Lutra's pre-integ
Users unfamiliar with AI agent delegation often underus
The free plan caps the number of Proxy sessions and aut
Proxy's ability to execute web-based tasks is entirely
Data contributors unfamiliar with semantic data platfor
Illumex's enterprise positioning places it at a price p
Illumex's semantic integration layer maps relationships
🎯Best For
Automotive ManufacturersE-commerce BusinessesBusy ProfessionalsFinancial Institutions
🏆Verdict
For embedded systems teams needing real-time generative AI i…
For digital marketing agencies and financial analysts runnin…
For busy professionals managing high volumes of repetitive o…
For telecommunications companies and financial institutions …
🔗Try It
Visit Hailo ↗Visit Lutra AI ↗Visit Convergence ↗Visit Illumex ↗
🏆
Our Pick
Hailo
For embedded systems teams needing real-time generative AI inference on hardware where 2.5W power budgets and PCIe M.2 f
Try Hailo Free ↗

Hailo vs Lutra AI vs Convergence vs Illumex — Which is Better in 2026?

Choosing between Hailo, Lutra AI, Convergence, Illumex can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

Hailo vs Lutra AI

Hailo — Hailo is an AI Tool that designs edge AI processors for real-time on-device inference across automotive, security, retail, and industrial applications. Its seco

Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo

  • Hailo: Best for Automotive Manufacturers, Security and Surveillance, Industrial Automation, Retail Businesses, Uncom
  • Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm

Hailo vs Convergence

Hailo — Hailo is an AI Tool that designs edge AI processors for real-time on-device inference across automotive, security, retail, and industrial applications. Its seco

Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n

  • Hailo: Best for Automotive Manufacturers, Security and Surveillance, Industrial Automation, Retail Businesses, Uncom
  • Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases

Hailo vs Illumex

Hailo — Hailo is an AI Tool that designs edge AI processors for real-time on-device inference across automotive, security, retail, and industrial applications. Its seco

Illumex — Illumex is an AI Tool that applies semantic intelligence to enterprise data management, automating metric documentation and preventing the analytical duplicatio

  • Hailo: Best for Automotive Manufacturers, Security and Surveillance, Industrial Automation, Retail Businesses, Uncom
  • Illumex: Best for Financial Institutions, Healthcare Providers, Retail Chains, Telecommunications Companies, Uncommon

Final Verdict

For embedded systems teams needing real-time generative AI inference on hardware where 2.5W power budgets and PCIe M.2 form factors are non-negotiable, the Hailo-10H delivers a performance envelope that GPU-based solutions cannot match at this power level. The primary limitation is model scale — the 8GB LPDDR4 ceiling means models above approximately 7B parameters require aggressive quantization before they can run reliably on the hardware.

FAQs

4 questions
What models can the Hailo-10H run at the edge?
The Hailo-10H supports LLMs, VLMs, and Stable Diffusion models natively, alongside standard vision architectures like YOLOv11m. It achieves first-token generation under one second on 2B-parameter language models and generates Stable Diffusion 2.1 images in under five seconds — all without cloud connectivity, at 2.5W typical power draw.
How does the Hailo-10H compare to NVIDIA Jetson for edge inference?
The Hailo-10H targets significantly lower power consumption (2.5W typical vs. Jetson Orin's 10–60W range) and a simpler M.2 plug-in form factor — making it better suited for battery-powered or thermally constrained edge devices. NVIDIA Jetson offers broader model compatibility and a larger developer ecosystem, making it preferable for teams prioritizing software flexibility over power efficiency.
Is Hailo hardware compatible with Raspberry Pi?
Yes, Hailo AI accelerators — including the Hailo-8 — are officially supported on Raspberry Pi 5 via M.2 HAT+, making them accessible to makers and education projects as well as commercial embedded Linux deployments. The Hailo AI software suite supports ARM host architectures natively alongside x86 systems.
Does Hailo process video on-device without sending data to the cloud?
Yes, all inference — including 4K video analytics and LLM token generation — happens entirely on the Hailo chip without any cloud connectivity requirement. Personally identifiable data never leaves the device, which is the primary privacy advantage over cloud-based AI services for security cameras, medical devices, and automotive cockpit systems.

Expert Verdict

Expert Verdict
For embedded systems teams needing real-time generative AI inference on hardware where 2.5W power budgets and PCIe M.2 form factors are non-negotiable, the Hailo-10H delivers a performance envelope that GPU-based solutions cannot match at this power level. The primary limitation is model scale — the 8GB LPDDR4 ceiling means models above approximately 7B parameters require aggressive quantization before they can run reliably on the hardware.

Summary

Hailo is an AI Tool that designs edge AI processors for real-time on-device inference across automotive, security, retail, and industrial applications. Its second-generation Hailo-10H accelerator, commercially available since July 2025, extends the platform beyond vision AI into generative inference — enabling LLMs and VLMs to run locally on compact hardware. With over 10,000 active developers monthly and $564M raised across nine funding rounds, Hailo is one of the most established names in the edge AI chip market. Its AEC-Q100 automotive qualification positions it directly for 2026 vehicle production programs.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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