Top 50 Ai Accelerator Chip 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.

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.

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.

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.

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.

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.

Eliyan manufactures semiconductor interconnects using its NuLink™ PHY technology, which enables the creation of large System-in-Package (SiP) designs on standard packaging. This technology enhances AI performance by up to 10 times and increases bandwidth, power efficiency, and SiP size by up to four times, effectively addressing the limitations imposed by the memory wall in chiplet-based systems.

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.

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.

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.

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.

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.

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.

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.

This startup utilizes artificial intelligence to optimize logistics operations, aiming to reduce the global production of trucks. By enhancing supply chain efficiency, the company helps businesses improve customer satisfaction and lower operational costs.

Tuya provides an IoT development platform that enables manufacturers to create and deploy smart products efficiently using its TuyaOS and App SDK. The platform addresses the challenge of lengthy product development cycles by offering a flexible, cost-effective solution that accelerates time-to-market for connected devices.

Percipient.ai offers the Mirage® Intelligence Analysis Platform, which utilizes artificial intelligence to analyze unstructured multimedia and intelligence data in real time. This technology enhances decision-making capabilities for organizations by providing accurate insights into patterns and relationships, enabling them to protect critical resources and maintain operational effectiveness.

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.

xMEMS develops a piezoMEMS silicon platform that enables the creation of ultra-thin, high-performance audio solutions, including the world's first 1mm-thin MEMS loudspeaker and active micro cooling fan. Their technology addresses the need for compact, efficient audio and cooling systems in consumer electronics, enhancing sound quality and device performance without compromising design aesthetics.

The startup offers a cloud-based marketing platform that utilizes AI to provide businesses with qualified lead databases and tailored campaign strategies. This approach enables companies to enhance customer acquisition and generate new sales opportunities without relying on invasive automation techniques.

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.

This startup develops artificial intelligence tools tailored for the real estate sector, utilizing machine learning algorithms to analyze market trends and property values. Their solutions enhance decision-making for real estate professionals by providing accurate predictive analytics and streamlined property management processes.

The startup offers a marketing intelligence platform that utilizes artificial intelligence to automate prospecting and enhance commercial management processes. By providing actionable market insights, the platform enables B2B companies to efficiently generate leads and improve sales performance.

SoundHound AI provides voice AI solutions that enable brands to integrate natural language processing and speech recognition into their products. This technology enhances user interaction by allowing seamless voice commands, improving customer engagement and operational efficiency.

Digibee offers an AI-native integration platform that enables organizations to connect applications, data, and AI efficiently, reducing integration development time by up to 75%. Its consumption-based pricing model and zero-operations approach minimize costs and operational burdens, allowing teams to focus on innovation.

Embryoxite develops an AI-powered platform that analyzes embryo metabolomic data, genetic profiles, and morphokinetic imaging to assess implantation potential in pre-implantation embryos. This technology addresses the high failure rate of embryo implantation in IVF procedures by providing objective, data-driven insights that enhance selection accuracy and improve pregnancy outcomes.

Gennie is a generative AI platform that accelerates the product development process by over 10 times, utilizing advanced methodologies in Design Thinking and innovation processes. It addresses the lengthy time-to-market challenge by refining concepts early in the development cycle, enabling businesses to validate ideas more efficiently.

deal.ai is an AI platform that provides tools for businesses to establish and expand AI marketing and software consulting agencies, utilizing white-label solutions for custom software branding. The platform addresses the need for accessible, integrated AI tools that enhance marketing effectiveness and streamline agency operations, enabling users to create tailored marketing materials and software solutions efficiently.

Aeonsemi develops analog mixed-signal DSP-centric integrated circuits, including the ChronoPHY™ multi-rate 10G Ethernet PHYs and Nemo™ multi-Gigabit Ethernet chipset, to enhance network communication performance. Their products provide low latency and high power efficiency, addressing the demands for reliable bandwidth and synchronization in modern communication systems.

Arkangel AI is a no-code platform that transforms medical data into AI algorithms for early disease detection, enabling healthcare organizations to build and deploy tailored solutions efficiently. By streamlining processes such as patient triage and drug adverse effect prediction, Arkangel AI enhances healthcare outcomes while significantly reducing operational costs.

The company is currently operating in stealth mode.

The startup is a learning platform that connects software developers to collaboratively create digital products through shared coding environments and version control systems. This approach addresses the challenge of fragmented development efforts by facilitating real-time collaboration and knowledge exchange among developers.

Deepen AI provides a safety-first suite of AI data tools for annotation, calibration, and validation tailored for autonomous systems. Their technology enhances the accuracy and speed of data processing while ensuring compliance with industry standards, addressing the critical need for reliable data in the development of safe autonomous vehicles.

Client Acquisition Systems utilizes AI-driven professional sales development representatives (SDRs) to generate three times more sales appointments within 80 days. This approach addresses the challenge of inefficient lead generation, enabling businesses to significantly enhance their sales pipeline.

The startup develops an all-in-one AI platform that integrates knowledge engineering into large enterprises through data engineering, customized models, and content creation tools. This technology enables businesses to optimize operations and drive growth by effectively managing and utilizing their data resources.

Begen is a platform that connects businesses with specialized AI developers, enabling efficient access to AI solutions while reducing development costs. It addresses the challenge of AI adoption by providing a controlled environment for companies to implement AI-driven innovations and streamline their operations.

The startup offers an AI-driven platform that connects businesses with suitable partners throughout their innovation journey. By leveraging machine learning algorithms, it enhances strategic collaboration, enabling companies to identify and engage with startups that align with their specific needs.

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.

Ai Bruna utilizes artificial intelligence to optimize production processes across various industries by predicting raw material characteristics and enhancing operational efficiency. The platform reduces production costs, energy usage, and waste while improving product quality and profitability through data-driven decision-making.

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 AI-powered platform that utilizes multiple AI agents to identify documentation gaps and generate accurate product documentation, including implementation guides and changelogs. This technology enhances the documentation process for API SDK products, web-based enterprise software, and internal applications, ensuring clients maintain up-to-date and effective documentation.

The startup offers a cloud-native application protection platform that integrates runtime monitoring, automated remediation, cloud security posture management, and data loss prevention to secure cloud environments and data in real-time. This solution enables organizations to protect their cloud, container, and data assets without the need for agent installations or sidecars.

The startup develops AI-powered applications that enhance decision-making by analyzing large datasets and providing actionable insights. This technology enables organizations to make data-driven choices more efficiently, reducing uncertainty and improving operational outcomes.

Amadeus AI develops secure, proprietary business language models tailored for Latin American companies, enabling them to leverage AI for enhanced operational efficiency. The startup addresses the challenge of AI adoption in the region by providing tools that align with local business needs and cultural contexts.

Aligned Carbon develops the Alcar wafer platform, which features semiconductor-pure, aligned carbon nanotubes grown on industry-standard wafers, enabling compatibility with CMOS fabrication processes. This technology addresses the limitations of traditional semiconductor materials by providing a 1000x improvement in power-performance, facilitating the advancement of next-generation computing systems.

The startup utilizes artificial intelligence to enhance procurement processes by automating supplier selection and contract management. This technology reduces operational inefficiencies and minimizes costs associated with traditional procurement methods.

The startup develops optical transceivers, active optical cables, and onboard optics to enhance data transmission capabilities in data centers. Their products address supply chain bottlenecks, enabling faster data center expansion and improved market responsiveness to growing data demands.

DataSpoc offers a NoCode AutoML platform that enables businesses to rapidly create proprietary AI models, reducing development time by up to 83% and costs by 80% compared to traditional data science teams. The platform automates data preparation, model training, and deployment, allowing companies to leverage data-driven insights for improved decision-making without the need for extensive technical resources.

The startup offers an AI Sales Copilot specifically designed for IT consulting firms, utilizing machine learning algorithms to analyze client interactions and optimize sales strategies. This technology enhances lead conversion rates and streamlines the sales process, addressing the challenge of inefficient sales workflows in the IT consulting sector.