Top 50 Ai Inference Engine in Latin America

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

QYON Intelligent Systems develops artificial intelligence platforms that optimize business management processes for organizations. Their solutions enhance operational efficiency by automating decision-making and resource allocation, addressing inefficiencies in traditional management practices.

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.

Qdrant provides an open-source vector search database that enables high-performance similarity searches for high-dimensional data, facilitating the development of applications for matching, searching, and recommending. By efficiently processing embeddings from neural networks, Qdrant allows businesses to leverage unstructured data for enhanced data analysis and personalized user experiences.

Infleet offers a fleet management platform that integrates telematics, video monitoring, and data analytics to enhance operational efficiency and reduce costs for logistics and equipment management. The solution provides real-time insights into vehicle performance, driver behavior, and maintenance needs, addressing issues of high operational expenses and safety risks in fleet operations.

PuppyGraph is a graph query engine that allows users to query relational data directly from data lakes and warehouses without the need for ETL processes. By enabling real-time graph analytics across multiple data sources, it eliminates data duplication and reduces system complexity, facilitating efficient data exploration and insights.

Uses a patent-pending Neural Analysis and Correlation Engine (NACETM) to detect and prevent evasive email threats, including ransomware, phishing, and business email compromise (BEC), by analyzing semantic intent rather than relying on traditional payload-based methods. This approach stops 74% more phishing attacks and 49% more HTML smuggling attempts while maintaining fewer than 5 false positives per million messages, reducing risk and operational burden for organizations.

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.

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.

The startup develops AI computer vision technology that automates tagging, object detection, and metadata generation for visual content. This enables businesses to efficiently manage large volumes of images, transforming them into actionable information and improving operational workflows.

The startup develops intelligent document processing software that utilizes artificial intelligence to extract and structure information from unstructured data. This technology enables businesses to enhance operational efficiency, reduce response times, and increase revenue by transforming lost information into actionable insights.

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.

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.

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 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.

The startup offers a data insights platform that utilizes image recognition and machine learning to automatically classify and extract relevant information from a vast database of documents and images. This technology enhances operational efficiency by minimizing transaction errors and risks for clients and suppliers through accurate data analysis and public database searches.

The startup offers a customer service platform that utilizes deep learning, natural language processing, and computer vision to automatically interpret customer inquiries and recommend solutions from reference documents. This technology enhances the efficiency of customer care agents, enabling them to improve customer satisfaction and effectively resolve complex issues at scale.

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 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.

The startup develops an artificial intelligence-based platform that utilizes visual user interfaces to detect driver and passenger interest outside the vehicle. Its products, including touch displays and infotainment systems, enhance user engagement and improve the overall driving experience for automotive manufacturers.

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.

Vortice.ai focuses on the integration of large language models (LLMs) with natural language processing (NLP) to enhance machine learning and generative AI applications. Their research and development efforts aim to create solutions that improve the efficiency and effectiveness of data retrieval and generation in artificial intelligence systems.

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.

Viziomed provides artificial intelligence solutions for medical imaging diagnostics, including radiography and mammography, utilizing advanced algorithms to enhance accuracy and efficiency. The platform reduces diagnostic errors by up to 15% and increases report generation speed by 40%, ultimately improving patient care through earlier detection of conditions.

The startup operates an artificial intelligence platform that utilizes video analytics and neural networks to identify unscanned products in retail environments. By leveraging existing security cameras, the solution enables retailers to minimize waste and enhance productivity through real-time product detection and analysis.

This startup develops smart sensors and intelligent embedded systems that utilize artificial intelligence for advanced data analytics in the automotive, mobility, and logistics sectors. Their technology enables clients to enhance operational efficiency and improve service quality through real-time data insights and digital transformation.

Entelai provides AI-driven diagnostic tools for the healthcare sector in Latin America, enhancing the accuracy of medical image analysis and optimizing physician workflows. Their solutions address the challenges of diagnostic precision and resource utilization, ultimately improving patient care and satisfaction.

Emmetra provides AI-based development tools that enhance camera performance by optimizing imaging algorithms and workflows. The startup enables camera OEMs and ODMs to streamline product development, reducing skill barriers and allowing them to focus on customer-centric solutions.

The startup develops predictions-based artificial intelligence software that analyzes data to create accurate predictive models, minimizing human error. This technology enhances operational efficiency and competitiveness for clients across various business processes by transforming raw data into actionable insights.

NeuronBasic designs and develops edge AI chips that enhance real-time data processing capabilities in resource-constrained environments. These chips address the limitations of traditional cloud computing by enabling faster decision-making and reduced latency for applications in IoT and autonomous systems.

The startup utilizes artificial intelligence to enable precise data querying for organizations, streamlining the onboarding process and managing legacy knowledge systems. This technology addresses the challenges of inefficient data access and integration, enhancing operational efficiency and knowledge retention.

The startup provides AI-driven solutions tailored for businesses in Latin America, focusing on enhancing operational efficiency and decision-making processes. By leveraging machine learning algorithms, they enable companies to analyze data more effectively, leading to improved productivity and cost savings.

Sagence AI develops analog in-memory compute technology that delivers high-performance AI inference with 100X lower power consumption and 20X lower costs compared to traditional digital solutions. This approach addresses the limitations of increasing digital chip densities and energy demands, making AI more economically viable and sustainable for widespread applications.