Top 50 Ai Compute Platform in Latin America

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Selector offers an AIOps platform that utilizes AI and machine learning to provide real-time incident detection and automated remediation across network and infrastructure environments. By correlating data from various sources, Selector reduces downtime and enhances operational efficiency for large-scale networks.

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.

Visio.ai is an AI platform that utilizes computer vision to monitor retail operations, enabling franchisees to detect discrepancies in transactions and optimize inventory management. By reducing cost of goods sold (CMV) by up to 25% and improving profitability, the platform enhances operational efficiency for brick-and-mortar stores.

Provides an AI-driven platform that analyzes multimodal data—such as images, documents, and financial statements—to generate real-time credit scores and predictive models for small and medium-sized enterprises. This enables businesses to assess credit risk, optimize customer segmentation, and automate decision-making processes, reducing defaults and improving financial performance.

Batech.ai is a self-service AI platform that transforms standard surveillance cameras into intelligent devices capable of real-time behavior pattern detection, addressing issues like employee productivity and theft. By providing actionable insights through features such as dwell time analysis and geofencing, the platform enhances data generation and operational efficiency without the need for additional hardware.

Provides AI-powered solutions for enterprises to ensure compliance with global data privacy regulations and prevent synthetic fraud losses. Its Cognoscible Computing Engine® analyzes and redacts personally identifiable information (PII) from structured, semi-structured, and unstructured data, while detecting and mitigating synthetic identities to protect against the fastest-growing cybercriminal activity in the financial sector.

The startup operates an AI-based co-pilot platform that analyzes e-commerce data and web analytics to identify operational inefficiencies and security vulnerabilities. By centralizing data and providing actionable insights, the platform enables clients to optimize their decision-making processes and enhance overall performance.

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.

Nama provides a generative AI platform that automates customer interactions and personalizes responses using integrated large language models and semantic search. This technology enhances customer satisfaction by delivering accurate, context-driven answers based on company-specific data, eliminating the inefficiencies of traditional customer service methods.

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.

The startup offers a predictive model automation platform that utilizes customizable algorithms to generate scalable AI-driven insights for business decision-making. By providing production model deployment and demand estimation services, the platform enables clients to enhance their strategic and tactical planning with data-driven accuracy.

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.

Cogni2 provides a generative AI platform to automate customer service and augment support agents. Its no-code chatbot builder and intelligent agent assistance reduce resolution times and improve customer satisfaction.

The startup offers an AI-based business assistance platform that simplifies the implementation and use of AI technologies to enhance operational efficiency. By streamlining processes, improving sales forecasting, and optimizing inventory management, the platform enables organizations to leverage AI applications with significantly reduced effort and resources.

Genloops provides enterprises with customized large language models (LLMs) that are privately hosted on their infrastructure, significantly reducing costs by up to 90% compared to traditional GPT-4 usage. The platform enables seamless integration of tailored LLMs into existing workflows, ensuring data privacy and high-performance solutions that adapt to specific business needs.

ololand.ai provides an AI-driven platform that generates instant equity valuation reports and financial forecasting for investment banks and private equity firms. By utilizing agentic AI technology, the platform enhances the evaluation of private investment opportunities and predicts financial performance based on market conditions.

Onni.ai provides a Voice AI and Generative AI platform that automates customer interactions and back-office processes through real-time speech analysis and natural language processing. This technology reduces operational costs and enhances productivity by streamlining workflows and improving customer experience with personalized, conversational interactions.

Comsentimento develops an AI-driven platform for clinical data transformation and research, focusing on enhancing cancer treatment and facilitating access to clinical trials. The platform provides healthcare professionals with actionable insights and support for chronic disease management, improving patient care and treatment adherence.

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.

Oversai provides an AI-driven platform that integrates workforce management, quality assurance, and process automation tools to enhance operational efficiency and decision-making. By consolidating multiple operational functions into a single platform, Oversai reduces costs and improves resource alignment for operations teams.

Meliva.ai offers a generative‑AI platform that converts a single key visual into a full suite of marketing assets—copy, images, synthetic voice, and video—customized for multiple audience personas. The system automatically selects and prompts the appropriate large‑language and multimodal models while enforcing brand guidelines, and exports ready‑to‑publish kits for channels such as Google Ads, Facebook Ads, email and SMS. All processing is performed in LGPD‑compliant, isolated environments in Brazil, enabling enterprises and agencies to accelerate high‑volume campaign production.

Blue AI is a no-code AI platform that utilizes machine learning models, primarily XGBoost and natural language processing, to analyze health claims data for employers and healthcare providers in Latin America. It identifies potential fraud, unnecessary procedures, and predicts avoidable hospitalizations, enabling businesses to proactively manage healthcare costs and improve patient care efficiency.

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 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.

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.

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.

RealCloud offers an AI-driven CloudOps platform that automates and optimizes cloud workloads by integrating FinOps, SecOps, and DevOps practices. The platform provides automated infrastructure management, cost optimization, and security compliance to enhance cloud availability and performance.

Lagrange.AI provides an artificial intelligence platform that utilizes process mining algorithms to automate data processing and optimize supply chain networks. The technology enables real-time monitoring and analysis, helping companies reduce operational costs by 30% and carbon footprints by 20% while enhancing network visibility by 80%.

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 a digital transformation platform that utilizes AI and computer vision to extract data from documents and automate workflows, creating digital twins of real-world systems. This technology enables clients in finance, education, and manufacturing to enhance operational efficiency and make informed decisions based on accurate data representation.

Skie.io provides a data science-driven platform for continuous cloud optimization, utilizing AI and machine learning algorithms to analyze resource usage and identify cost-saving opportunities. Organizations can achieve up to 50% reduction in public cloud expenses through automated remediations and a performance-based pricing model that charges only for realized savings.

HybridAI builds AI agents from a company’s documentation (websites, PDFs, knowledge bases) that can be deployed as chatbots or embedded in existing workflows. The agents use function calling to interact with external APIs and databases for tasks such as VAT calculation, document retrieval, and scheduling, and include real‑time sentiment analysis with human‑in‑the‑loop escalation. Hosted on GDPR‑ and AI‑Act‑compliant EU infrastructure, the platform provides a REST API, multi‑layer memory, and observability dashboards for mid‑size enterprises in finance, HR, education, sustainability, and agency sectors.

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 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.

Zan Compute offers an AI-driven facility management platform that utilizes IoT sensors and data analytics to monitor janitorial needs and occupancy levels in real-time. This technology reduces labor costs by up to 30% and enhances cleaning efficiency by providing actionable insights into high-traffic areas and consumable supplies.

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 a collaborative platform for creating, training, and testing artificial intelligence agents using machine learning frameworks. This platform enables teams to streamline the development process, enhancing productivity and accuracy in AI deployment.