Razor Labs

Name

Razor Labs

Legal name

Razor Labs Ltd.

Website

https://razor-labs.com

Company type

Public

Founded year

2016

Operating status

Operating

Headcount range

101–250 employees

Ownership category

akta.pro rank

NAICS

Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

• Predictive maintenance software
• AI mining solutions
• Industrial asset monitoring
• Machine learning analytics
• Mining technology platform

Headquarters

HQ city

Tel Aviv

HQ country

Israel

HQ region

Middle East

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Revenue model

1. SaaS Subscription - DataMind AI Platform: Subscription-based access to the DataMind AI predictive maintenance platform delivered as cloud-based software. The subscription includes platform access, analytics, and reporting capabilities.
2. Hardware - Sensors and Data Loggers: Sale of sensors and related hardware components that connect to customer machines and generate data displayed on the dashboard. Sensors remain property of Razor Labs. Additional sensors can be purchased to extend coverage.
3. Implementation and Professional Services: Implementation services including site assessment, sensor installation, integration with existing systems, and training. Fees do not include out-of-pocket expenses such as travelling, freight, or electrical infrastructure required for sensor installation.

Pricing tiers

Go-to-market motion3 records

Distribution channels2 records

Marketing channels5 records

Core offering

Razor Labs develops and sells the DataMind AI platform, an end-to-end predictive maintenance and asset health monitoring solution for the mining industry. The platform combines IoT sensors, edge devices, and machine learning models to detect equipment failures before they occur on mobile fleets and fixed assets. It is offered to mining operators on a subscription basis, with hardware sensors deployed at customer sites.

Product overview

Razor Labs offers DataMind AI™ as a unified all-in-one predictive maintenance platform for the mining industry. The platform consists of three integrated modules: DataMind AI for Mobile Fleet (for haul trucks and mobile equipment), DataMind AI for Fixed Assets (for processing equipment and stationary machinery), and DataMind Visual AI (for computer vision-based hazard detection). All modules leverage the proprietary AI Sensor Fusion technology that combines multi-sensor data, maintenance records, and condition reports. The solution is delivered as a cloud-based SaaS platform with associated hardware sensors. Razor Labs also provides comprehensive sensors and hardware components as part of the service offering.

Differentiator

Problem solved

Functional benefit

Brands

• DataMind AI™: End-to-end predictive intelligence platform for protecting critical assets across mobile fleets, fixed assets, and AI-powered visual monitoring systems.

Quantifiable outcome

• 11 critical failure findings identified across coal mining fleet in single quarter; 40+ hours of unplanned downtime avoided
• +3 more outcomes

Named customers7 records

Segments4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability6 records

Feature6 records

Partnerships

Three partnerships are on record, tiered core and minor.

• Process Automation (Pty) LtdcoreImplementation/ SI/ Consulting Partner · 22 September 2025Razor Labs partnered with Process Automation to expand AI-driven predictive maintenance solutions within South Africa's mining sector. Process Automation serves as Razor Labs' official partner and system integrator in Africa, leveraging 45 years of experience and a team of over 240 employees across five regional offices. The partnership aims to deploy DataMind AI platform across regional mines and processing plants and represents a significant step in Razor Labs' expansion strategy in Africa.
• KomatsucoreStrategic or Co-development PartnerRazor Labs partnered with Komatsu to integrate AI-powered predictive maintenance solutions. This partnership was cited as a key development in the AI in Mining market report by Persistence Market Research, highlighting Razor Labs' position among leading predictive maintenance providers.
• CoaltechminorStrategic or Co-development PartnerPartnership with Coaltech in South Africa to apply machine learning and AI to coal mining operations. Coaltech, with 26 years of existence, relies on partners like Razor Labs to advance in the AI and ML space.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• GE Digital (Predix / APM): Industrial giant with Asset Performance Management (APM) and Predix platform targeting the same heavy-asset reliability use cases Razor Labs addresses, especially in power, mining, and oil & gas.
• C3.ai: Enterprise AI application platform with predictive maintenance use cases across heavy industry. Broader incumbent that competes for the same industrial AI wallet share, though its offerings span far beyond maintenance.
• Siemens (MindSphere / Asset Performance): Industrial conglomerate with its own IoT platform (MindSphere) and asset management suite. Notably, Siemens Energy is itself a Razor Labs customer, illustrating the dual role of incumbent as competitor and partner.
• IBM Maximo Application Suite: Enterprise asset management and predictive maintenance platform widely deployed in mining, utilities, and heavy industry. Competes with Razor Labs for the maintenance technology budget at large miners.
• Honeywell Forge (Connected Plant): Industrial conglomerate's asset performance and predictive maintenance suite. Comparable incumbent offering bundled hardware-software-service solutions in heavy-asset industries including mining and energy.
• Bentley Systems (AssetWise): Infrastructure engineering software vendor with AssetWise asset performance monitoring modules used in mining, utilities, and heavy industry. Adjacent incumbent competing for the same reliability-focused buyer.

Direct peers

• Uptake: AI-driven predictive maintenance and asset performance platform serving industrial customers including mining, rail, and energy. Directly comparable as an applied AI vendor for industrial equipment reliability, with a similar outcome-based value proposition.
• Augury: AI-based machine health monitoring combining vibration and temperature sensors with a SaaS analytics platform. Comparable to Razor Labs' DataMind AI in combining sensor hardware, AI diagnostics, and enterprise sales to industrial customers.
• SparkCognition: Enterprise AI company with predictive maintenance solutions for industrial assets including mining and energy. Directly comparable vertical AI applied to industrial failure prediction and asset reliability.
• Fiix (by Rockwell Automation): Cloud-based CMMS and predictive maintenance platform acquired by Rockwell Automation. Competes for maintenance planning and asset reliability workflows in industrial settings, with overlapping SaaS economics.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@RazorLabsAI
• LinkedInlinkedin.com/company/razor-technologies-inc
• Xx.com/LabsRazor

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Razor Labs