Amygdala

What Amygdala does

Amygdala is an Israel-based (Tel Aviv) private technology company, founded in 2020 by Elad Shaltiel, Oren Segal, and Alon Muskat, that builds an AI-driven predictive maintenance platform for critical infrastructure electromechanics systems. Its core offering combines non-intrusive sensors, real-time data acquisition, and a deep learning algorithm that ingests equipment and environmental telemetry to forecast failures in electrical and electro-mechanical assets before they occur, delivering remote alerts and customizable analytics to maintenance teams.

The company's primary product, the AMYGDALA Platform, is positioned as a manufacturer-agnostic HW/SW system that integrates data across multiple equipment OEMs and third-party systems — differentiating it from OEM-proprietary monitoring solutions. Initial focus is on railway operators (track elements, train control systems) with elevator infrastructure as a secondary vertical; additional use cases reference water, gas, electricity, petrochemical, and heavy industrial electromechanics. Distribution is B2B direct sales to enterprise infrastructure operators, with quote-based pricing rather than disclosed list pricing. The revenue model is best characterized as enterprise software/services subscriptions for the monitoring platform, though no contract values or pricing benchmarks are publicly disclosed.

Amygdala appears to be bootstrapped and founder-owned, with no external institutional funding rounds, acquisitions, or partnerships disclosed in the available data. The company has scaled to roughly 164 employees, indicating substantive operational build-out despite no reported capital raises. The company is privately held, headquartered in Tel Aviv, and currently operating.

Name

Amygdala

Website

https://amygdalatech.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

101–250 employees

Short description

Amygdala builds an AI-powered predictive maintenance platform using deep learning and non-intrusive sensors to forecast failures in critical infrastructure electromechanics systems, primarily serving railway operators and elevator infrastructure managers.

Ownership category

akta.pro rank

Product category

Industrial Predictive Maintenance Software

NAICS

Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables (334513), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451), Instrument Manufacturing for Measuring and Testing Electricity and Electrical Signals (334515)

SIC

Services-Computer Integrated Systems Design (7373), Instruments For Meas & Testing Of Electricity & Elec Signals (3825), Industrial Instruments For Measurement, Display, And Control (3823)

akta.pro primary industry

Predictive Maintenance & Asset Reliability Analytics (HDAAAHAE)

akta.pro secondary industries

Rail Asset Inspection, Monitoring & Diagnostics (Track Geometry, Wayside Sensors) (TLAJADAG), Utility Asset Performance Management & Predictive Maintenance (Grid/Plant IoT) (EUADAPAI), Electrical, Instrumentation & Controls (E&I) Maintenance (IMAIACAE)

Keywords

• Predictive maintenance
• Industrial AI software
• Railway condition monitoring
• Electromechanical asset monitoring
• Critical infrastructure analytics

Headquarters

HQ city

Not specified

HQ country

Israel

HQ region

Middle East

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Supply Chain

Revenue model

1. Predictive Maintenance Platform Subscription: B2B software platform subscription for railway operators and infrastructure managers providing predictive maintenance capabilities, real-time monitoring, and analytics. Revenue likely derived from platform licensing, implementation services, and ongoing monitoring subscriptions.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Core offering

Amygdala sells a hardware/software predictive maintenance platform for critical infrastructure electromechanical systems. It combines non-intrusive sensors, real-time data acquisition, AI data fusion, and deep learning algorithms to monitor electrical and electro-mechanic assets, predict malfunctions, and deliver real-time remote alerts and analytics to railway operators, elevator infrastructure managers, and industrial asset owners.

Product overview

AMYGDALA offers a unified predictive maintenance platform for critical infrastructure electromechanics systems. The core AMYGDALA Platform provides comprehensive data integration and AI computing for railway operators, working in conjunction with a Real-Time Monitoring System that delivers alerts and analytics, and a Non-Intrusive Sensor System for data acquisition. The platform uses deep learning algorithms to analyze Big Data and produce critical alerts, enabling predictive and preventive maintenance for railway and elevator systems.

Differentiator

Problem solved

Functional benefit

Products and services

• AMYGDALA Platform Hardware/software platform for railway operators that delivers comprehensive data integration, AI computing, and constant monitoring of train control elements to optimize maintenance regimes and predict malfunctions in electrical and electro-mechanic systems, accessible regardless of equipment manufacturer or third-party systems installed.
• Real-Time Monitoring System Provides real-time remote monitoring and alerts, along with advanced analytics and ad-hoc customizable reports, enabling maintenance management and crews to minimize or avoid service disruptions, perform early detection, and achieve maximum availability and reliability of the network.
• Non-Intrusive Sensor System Data acquisition system using non-intrusive sensors that collect real-time data on monitored systems and their environmental conditions while preserving the integrity of the monitored critical assets.

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature5 records

Recent moves4 records

Expansion highlights4 records

Direct peers

• ReliaSoft (HBM Prenscia): Reliability engineering and asset-analytics software for predictive maintenance and failure-mode analysis on industrial assets. Comparable to Amygdala on reliability analytics for electromechanical systems, though more focused on engineering analytics than live sensor fusion.
• Augury: AI-based machine-health monitoring and predictive maintenance for industrial assets using non-intrusive sensors and cloud analytics. Closely comparable to Amygdala on sensor-based data acquisition, AI/ML failure prediction, and B2B SaaS delivery to industrial operators.
• Uptake: AI-driven predictive maintenance and asset-performance platform for industrial and rail-adjacent heavy-equipment operators. Comparable to Amygdala in using AI/ML on equipment telemetry to predict failures and optimize maintenance.
• SparkCognition: Enterprise AI platform with predictive maintenance and asset-reliability solutions for industrial and infrastructure customers. Comparable to Amygdala in applying AI/ML to critical-asset failure prediction across asset-intensive industries.

Broad incumbents

• GE Digital (Predix / APM): Industrial analytics and asset-performance management suite from GE Digital focused on heavy industrial and rail operators. Comparable to Amygdala on predictive maintenance for critical electromechanical assets, but as part of a broad industrial-software portfolio.
• C3.ai: Enterprise AI software provider offering predictive maintenance applications across industrial, energy, and infrastructure verticals. Comparable to Amygdala in AI-driven asset reliability use cases, but with a broader horizontal portfolio rather than a rail-specialized stack.
• Bentley Systems (AssetWise): Provider of infrastructure engineering software including AssetWise for asset performance and reliability in rail and other infrastructure. Comparable to Amygdala on rail and critical-infrastructure asset-condition monitoring, but as part of a much wider infrastructure-software portfolio.
• Hitachi Rail: Major rail OEM and digital services provider offering condition-based and predictive maintenance for rolling stock and rail infrastructure. Comparable to Amygdala on rail predictive maintenance, but with deep OEM relationships and global scale.
• Siemens (MindSphere / Railigent): Industrial IoT and rail digitalization suite from Siemens, including predictive maintenance for rolling stock and rail infrastructure via Railigent. Comparable to Amygdala on rail predictive maintenance, but with embedded OEM data and a much larger installed base.

Emerging players

• Cosmo Tech: Provider of digital-twin and asset-performance simulation software for critical infrastructure including rail and energy operators. Comparable to Amygdala on using advanced modeling to optimize asset reliability and maintenance planning in rail and industrial verticals.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/amygdalatech

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

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 Amygdala