Top 50 Edge Computing in Latin America

Ambient Scientific develops the GPX10, an ultra-low power AI microprocessor designed for on-device applications, enabling years of operation on a single coin cell battery. This technology addresses the limitations of cloud dependency by providing efficient, always-on AI capabilities for battery-powered edge devices, enhancing data privacy and reducing operational costs.

Provides scalable neural processor unit (NPU) semiconductor IP with a packet-based architecture that enables parallel execution of AI workloads, achieving up to 90% processor utilization. This approach reduces memory overhead, power consumption, and latency while supporting complex AI models across edge devices in industries like mobile, automotive, and industrial automation.

DeGirum develops an AI Hub that integrates hardware and software infrastructure to streamline the development and deployment of edge AI applications. By providing a unified software toolchain and flexible hardware options, it reduces time to market and minimizes costs associated with multiple hardware and application investments.

SPOT Technologies provides video analytics using computer vision and edge computing to transform security and operational videos into actionable data. Their solutions enhance on-shelf availability and consumer insights, leading to a 3-5% sales uplift per store while optimizing resource productivity and reducing operational costs.

EnCharge AI develops a scalable analog in-memory computing platform that enhances AI performance by achieving 20 times higher efficiency and 10 times lower total cost of ownership compared to traditional GPU solutions. This technology enables on-device processing, significantly reducing CO2 emissions and ensuring data privacy while making advanced AI accessible beyond cloud infrastructure.

Versa provides an AI-powered Secure Access Service Edge (SASE) platform that integrates networking and security functionalities to protect users, devices, and applications across any network. This solution addresses the challenges of fragmented security and network management by offering a unified platform that simplifies infrastructure and enhances threat detection and response.

EdgeQ develops a Base Station-on-a-Chip that integrates 4G and 5G technologies for small and macro cell deployments, enabling customizable and field-deployable solutions compliant with 3GPP standards. This technology addresses the need for efficient, low-power wireless infrastructure to enhance network coverage and support mission-critical applications in various environments.

Celestial AI develops the Photonic Fabric™, an optical interconnect technology that enhances data transfer speeds and reduces latency in AI computing and memory infrastructure. This technology addresses the limitations of traditional interconnects by enabling high-bandwidth, low-latency connections essential for processing extensive AI workloads efficiently.

D-Matrix has developed Corsair, an AI inference platform that achieves 60,000 tokens per second with 1 ms latency for Llama3 8B models, significantly enhancing throughput and energy efficiency in datacenters. This technology addresses the high computational costs and energy consumption associated with large-scale AI inference, enabling organizations to scale their AI capabilities sustainably.

Bowtie is a distributed network security platform that establishes encrypted connections from devices to private resources, eliminating the need for traffic backhauling and reducing the attack surface. Its Secure Web Gateway functionality enforces security policies directly on devices, ensuring fast internet access without compromising user experience or introducing centralized points of failure.

Astera Labs develops semiconductor-based connectivity solutions, including PCIe over optics and smart fabric switches, to enhance the scalability and efficiency of AI and cloud infrastructure. Their technology addresses the challenge of optimizing resource management in data centers, enabling higher GPU cluster utilization and improved performance.

Nuvia designs high-performance processors optimized for compute-intensive applications through advanced silicon architecture, significantly enhancing processing speed and energy efficiency. The company provides a solution for the increasing demand for computational power in data centers and high-performance computing environments.

Falcon Computing Solutions offers FPGA acceleration solutions designed for compute-intensive data center applications, enhancing processing speed and efficiency. Their technology addresses the demand for high-performance computing by enabling scalable and seamless integration into existing infrastructure.

Ampere Computing designs high-performance data center processors, including the Ampere Altra and AmpereOne families, which feature up to 192 cores optimized for cloud-native applications. These processors deliver significant price-performance advantages, achieving up to 50% better efficiency compared to traditional x86 architectures, while addressing the growing demand for scalable and sustainable computing resources.

The startup offers an application-aware Multi-Cloud Networking (MCN) platform that optimizes data traffic across multiple cloud environments. This technology enhances application performance and reliability by providing real-time visibility and control over network resources, addressing issues of latency and connectivity in distributed cloud architectures.

GRAID Technology offers SupremeRAID™, a GPU-based RAID solution that maximizes SSD performance for AI and machine learning workloads by eliminating traditional RAID bottlenecks and offloading RAID processing from the CPU. This technology enables up to 28 million IOPS and 260 GB/s throughput while supporting 32 native NVMe drives, enhancing data protection and system efficiency without the need for battery backup modules.

Rivos develops high-performance, power-efficient server solutions based on RISC-V architecture, utilizing workload-defined hardware to optimize performance for enterprise applications. The company addresses the need for secure and efficient computing in data centers, enabling businesses to enhance their operational efficiency and reduce energy consumption.

Baya Systems develops customizable, software-driven System IP solutions for chiplet-based semiconductor systems, enabling efficient data movement and high-performance computing. Their technology addresses the complexity and cost of delivering scalable, modular architectures by providing a unified fabric that supports advanced cache coherency and optimized throughput for diverse applications.

Scala Data Centers provides sustainable colocation services through strategically located data centers that utilize 100% renewable energy and advanced infrastructure to support cloud computing demands. The company addresses the need for scalable, reliable, and environmentally responsible data solutions in the rapidly growing Latin American market.

This startup designs and develops high-performance FPGA (Field-Programmable Gate Array) products, including programmable FPGA fabrics and discrete FPGAs with hardwired system-level blocks. Their offerings, such as data center and HPC hardware accelerator boards, provide high bandwidth and low latency for various applications.

Syos develops IoT and AI solutions for real-time monitoring of temperature and humidity in the pharmaceutical and food distribution sectors, utilizing wireless sensors that provide data every five minutes. This technology minimizes manual processes and alerts users to dangerous variations, helping to prevent product loss and ensure quality throughout the supply chain.

AirVine Scientific provides high-speed, reliable wireless backhaul solutions using its WaveCore™ and WaveTunnel™ technologies to ensure pervasive indoor connectivity across various building types. The company addresses the challenge of deploying and maintaining robust network infrastructures in complex environments, enabling seamless communication and data transfer.

Newtwen provides embedded digital twin technology for electric drive systems, enabling real-time monitoring, fault identification, and predictive maintenance. This technology facilitates a seamless transition to electrical systems, reducing costs and enhancing operational efficiency in the automotive and automation industries.

The startup develops a decentralized network operating technology that utilizes blockchain and network security to create a peer-to-peer internet infrastructure. This technology enables users to bypass censorship and access a secure, private internet while facilitating bandwidth sharing among participants.

IBBX offers an industrial IoT solution that utilizes proprietary long-range, low-cost data transmission and self-recharging devices powered by environmental energy. This technology enables real-time data collection and predictive maintenance, enhancing operational efficiency and sustainability across various industries.

Provides a Data as a Service (DaaS) platform that uses machine learning and computer vision to automate the collection and structuring of urban big data, focusing on geolocated points of interest (POIs) and public advertising in Latin American cities. This platform enables businesses to make data-driven decisions by offering precise, up-to-date location intelligence for market analysis, competitive mapping, and strategic site selection.

Ordr provides an AI-powered asset intelligence platform that delivers real-time visibility and automated security for all connected devices, including unmanaged IoT and OT assets. By identifying security gaps and enabling policy enforcement, Ordr helps enterprises mitigate risks associated with the growing number of vulnerable devices in their networks.

Civi is a security application that delivers real-time security alerts through a network of monitored sensors and data analytics. It addresses the need for immediate threat detection, enabling users to respond swiftly to potential security breaches.

The startup has developed a decentralized video platform that utilizes blockchain technology and a native protocol token to create an algorithmic market for cloud-based video services. This platform captures unused computing capacity from third-party data centers, enabling users to earn tokenized rewards for their contributions to video content processing.

The startup provides operational intelligence through real-time data analytics, enabling businesses to monitor and optimize their processes effectively. By delivering actionable insights from live data streams, it enhances decision-making and operational efficiency in dynamic environments.

This startup is building a smart city designed for enhanced connectivity. It integrates various technologies and infrastructure to create an environment where residents can easily connect with services, information, and each other.

Sirros provides IoT solutions for smart manufacturing, utilizing real-time telemetry to enhance operational visibility and efficiency. The platform addresses issues of production downtime and inaccurate reporting, enabling manufacturers to make data-driven decisions that reduce costs and improve productivity.

The startup operates a connectivity platform that centralizes policy enforcement for network traffic and security, eliminating the need for multiple configurations across various network elements. This approach reduces unauthorized lateral movement, protects high-value assets, and minimizes the attack surface for enterprises.

The startup develops detection systems that integrate vehicle telemetry with traffic light infrastructure to enhance real-time traffic management. This technology improves roadway flow control, enabling better communication between autonomous vehicles and traffic signals, which leads to more efficient commutes.

ST-One provides an intelligent algorithm that captures and organizes critical machine data, enabling real-time monitoring and predictive analysis for industrial processes. This solution enhances operational efficiency by addressing issues related to performance, quality control, and maintenance management.

Netris provides VPC networking software that automates the management of network infrastructure across on-premises, edge, and bare metal environments, enabling dynamic multi-tenancy and isolation for cloud services. This technology simplifies the deployment of essential networking constructs, such as load balancing and NAT gateways, while reducing operational complexity and costs for cloud operators.

Videri AI's Computer Vision Intelligence Surveillance (CVIS) platform uses AI to analyze drone video feeds in real-time, automatically detecting people and vehicles to enhance aerial surveillance coverage. The SaaS solution provides automated alerts and mission analysis for security, industrial monitoring, and public safety operations.

Fiber Mountain integrates artificial intelligence into the physical layer of data center networks, utilizing intelligent patch panels and network management software to enhance connectivity and visibility. Their solutions provide real-time monitoring and automated documentation, reducing downtime and improving network security through proactive management.

SVATech provides a programmable smart vision system that utilizes embedded software for video analysis, storage, and transmission, compatible with most existing cameras. This technology reduces inspection and monitoring costs by up to 90% while enhancing security and operational efficiency through automated surveillance and customizable solutions.

Pix Force utilizes computer vision and artificial intelligence to automate visual inspections, enhancing efficiency and accuracy in industrial processes. The technology addresses the challenges of time-consuming and error-prone manual inspections, significantly reducing operational risks and improving productivity.

The startup develops chip technology that integrates big data analytics and heterogeneous computing to enhance the functionality of the Internet of Things. This technology enables industries, such as automotive and healthcare, to incorporate artificial intelligence into their products and services, improving operational efficiency and decision-making capabilities.

Binahki provides customizable industrial monitoring solutions that utilize IoT technology and AI algorithms to track machine performance and energy consumption in real-time. This system addresses inefficiencies in production processes, reduces downtime, and enhances decision-making through reliable data analytics.

A Bright is creating a cloud platform that enables gamers, creators, and businesses to utilize high-performance virtual machines for gaming, content creation, and application development. This platform eliminates the need for expensive hardware upgrades by providing on-demand access to powerful computing resources, allowing users to run demanding applications and games seamlessly from any device.

The startup develops a telemetry solution device for industrial mold management that integrates IoT hardware with a cloud platform to monitor production status, count product pieces, and alert users to production stoppages. This technology enables manufacturers to analyze supplier performance, identify process improvement opportunities, and manage supplier risks effectively.

SIENTIA™ is an AIOps platform that enables the seamless deployment of AI models in Operational Technology environments, transforming Proofs of Concept into production-ready solutions. By integrating industry data, SIENTIA™ accelerates AI scalability and operational efficiency for heavy-asset industries, delivering measurable results in under one second of inference time.

The startup offers an intralogistics management platform that utilizes Ultra Wideband (UWB), Local Positioning System (LPS), and Artificial Intelligence (AI) to enhance logistical flows and inventory management. By providing real-time visibility into the proximity of machines and personnel, the platform aims to prevent work accidents and improve operational efficiency in logistics and industrial environments.

The startup operates a resource-saving platform that dynamically adjusts cloud savings plans based on real-time computing requirements. This technology helps clients optimize their cloud expenditures while ensuring efficient resource allocation.

Hybrid AI provides a cloud-native platform that integrates physics‑based simulation models with machine‑learning algorithms to deliver real‑time predictive and prescriptive analytics for utility, oil‑and‑gas, and renewable‑energy operators. The solution includes data pipelines, model management, and dashboards for optimization, predictive maintenance, and emissions reduction, available via SaaS or Model‑as‑a‑Service modules.

The startup offers a cloud-based infrastructure platform that utilizes a network of IoT sensors to gather and transmit city-specific data without requiring additional physical installations. This technology enables the development of scalable smart cities by facilitating real-time data communication and integration for urban developers and communities.

VTELCO provides virtualized network functions and cloud-native solutions based on microservices, enabling scalable network management for both small and large providers. Their technology reduces operational costs by up to 70 while enhancing network visibility and control, addressing the complexities of managing diverse network infrastructures.