Top 50 Data Labeling Service in LATAM

Solinftec offers ALICE, an AI‑driven SaaS platform that ingests and analyzes hundreds of millions of daily data points from farm equipment, IoT sensors, and weather sources. It provides real‑time alerts, predictive analytics, and automated recommendations to optimize spraying schedules, routing, and input use, helping large growers and agronomy service providers reduce waste and improve profitability.

Propelo provides an AI‑driven analytics platform that automatically ingests, processes, and visualizes unstructured data from multiple sources. Using NLP and machine‑learning models, it extracts entities, trends, and forecasts, delivering interactive dashboards, real‑time alerts, and API access to help enterprises quickly turn raw data into actionable insights.

Fluna is a no-code platform that utilizes artificial intelligence to automate the extraction of insights from various document types, streamlining operational processes and enhancing decision-making efficiency. By integrating with existing systems, Fluna reduces manual tasks and accelerates development, enabling businesses to optimize workflows and improve productivity.

Suflex is a cloud‑based platform that automates food labeling, traceability, and inventory control for professional kitchens. It generates QR‑code labels, records receipt data, monitors expiration dates in real time, and provides structured counting lists and low‑stock alerts, helping restaurants and other food‑service operations reduce waste and improve operational efficiency.

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.

Ruka provides a digital assistant that automates the classification and monitoring of purchase data by integrating with existing financial systems, enabling businesses to eliminate manual data entry and streamline expense tracking. This technology reduces operational inefficiencies, allowing companies to generate real-time reports and alerts on spending anomalies, ultimately saving time and reducing costs by up to 80%.

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.

Dynadok utilizes artificial intelligence to automate the validation and extraction of data from various document formats, including images and PDFs, ensuring high precision and speed in processing. This technology addresses issues of document errors and compliance risks by immediately notifying users of any problems upon submission, significantly reducing operational costs and processing times.

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.

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 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 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 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.

Camada provides a modular AI platform with pre‑trained models for NLP, computer vision, and predictive analytics that can be integrated into enterprise workflows via REST, gRPC, and SDKs. Users can fine‑tune these models on proprietary data through a low‑code portal while the service handles scaling, security, and model lifecycle management, enabling organizations to automate tasks and derive insights without deep AI expertise.

GenAI is a platform that utilizes natural language processing to analyze customer feedback and extract actionable insights. By transforming unstructured data into structured information, it enables businesses to understand customer sentiment and improve their products and services.

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.

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.

Artificio develops self-driving technology using crowdsourced OOD data collected from taxi drivers for robust model training. The company leverages OpenSource Vision-Language-Action (VLA) models to fine-tune driving algorithms efficiently and at reduced costs. Their goal is to deploy autonomous vehicle capabilities globally across various cities.

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.

The startup offers a data analytics platform that utilizes artificial intelligence to process and analyze large datasets for mass consumption companies. This technology enables businesses to identify new clients and enhance pre-sale management at the point of sale, ultimately driving sales growth.

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.

The startup offers an online platform that automates quote generation, PDF form completion, and client data management for insurance agencies. By centralizing these processes and providing data analysis tools, the platform enhances workflow efficiency and accuracy, enabling faster service delivery to clients.

Mr. Turing is a platform that enables companies to train artificial intelligence models for analyzing and extracting insights from text-based documents, audio, and video interactions using natural language processing and machine learning techniques. The platform addresses the challenge of efficiently managing and retrieving information from diverse media formats, enhancing data accessibility and decision-making across various sectors.

Goji.mx develops software solutions that utilize AI and large language models (LLMs) for processing text and voice data. The company focuses on enhancing communication efficiency and accuracy in various applications, addressing the challenges of manual data handling and interpretation.

This startup offers AI-powered chatbots that integrate with cloud systems to automate customer service, sales, and document processing. Their solution aims to improve internal efficiency, data control, and customer loyalty while reducing costs and response times.

The startup provides a conversational interface that allows businesses to interact with their financial data, including electronic invoices, through natural language processing. This technology enables companies to make data-driven decisions by simplifying access to critical financial information.

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.

Apistemic offers a catalog of RESTful APIs that transform raw web and proprietary sources into normalized JSON signals for market intelligence, such as competitor data, startup activity, and real‑estate leads. The endpoints provide low‑latency, high‑throughput access with real‑time updates and consistent schemas, removing the need for custom scraping and data wrangling. Custom data product services are also available to create bespoke datasets for AI agents and automation workflows.

Cogniflow provides a no-code platform for building custom AI models that automate data extraction, document interaction, and image analysis across various formats. By enabling users to implement AI solutions without programming expertise, the platform significantly reduces the time spent on manual data processing and enhances operational efficiency.

The startup provides customizable, scalable AI models via API integration for open-pit industries, enhancing operational efficiency and decision-making processes. Their technology addresses the need for tailored data solutions that seamlessly fit into existing business workflows.

Platwave provides AI agents that automate repetitive technical tasks and extract insights from large datasets. Their platform enhances customer engagement through personalized experiences and supports data-driven decision-making for improved operational efficiency.

The startup is creating a data analytics platform that employs machine learning algorithms to match job seekers with employment opportunities in Mexico's labor market. This approach targets the high unemployment rate by improving the efficiency of job placement and increasing workforce participation.

The startup provides AI-driven software solutions that enhance operational efficiency for businesses by automating data analysis and decision-making processes. This technology reduces manual labor and minimizes errors, enabling companies to optimize resource allocation and improve overall productivity.

The startup develops a decentralized data platform that generates high-quality synthetic datasets to address data scarcity in various applications. By providing a privacy-safe and flexible solution, users can efficiently deploy LLM-driven data pipelines tailored to their specific needs.

Gilio provides an API for intelligent document processing that utilizes modern techniques such as LLM prompting and visual analysis to extract structured data from various document types, including handwritten forms. By optimizing document handling time by 80%, Gilio enables businesses to automate operations securely and efficiently, enhancing overall productivity.

TRUST offers a platform that utilizes artificial intelligence to process unstructured data, enabling businesses to extract actionable insights and improve decision-making efficiency. By automating complex data management tasks, the platform enhances governance and compliance while significantly reducing the time required for credit approvals and customer service analysis.

The startup offers a data intelligence platform that utilizes data engineering, natural language processing, and automated reporting to enhance business decision-making. By integrating diverse data sources and providing actionable insights, the platform helps clients improve operational efficiency and increase profitability.

Unlabel offers a centralized product information management (PIM) platform that streamlines content creation and syndication across all sales and marketing channels. This ensures data accuracy and consistency, enhancing customer engagement and driving sales growth for brands and retailers.

Qsmart automates data extraction from unstructured documents and audio files using NLP and machine learning. The platform accurately processes PDFs, images, and voice recordings, transforming raw information into organized, actionable data. This streamlines workflows, reduces manual effort, and accelerates information retrieval for businesses.

Autonomi AI provides a unified API for visual AI that automates the extraction and processing of unstructured data across various industries, including healthcare, finance, and legal. By eliminating manual effort and enabling rapid fine-tuning of hyper-specialized models, the platform enhances operational efficiency and accuracy in data handling.

TagShelf offers an AI platform that automates repetitive business tasks, significantly improving operational efficiency and lowering labor costs. By optimizing workflows, the platform allows companies to allocate resources towards strategic initiatives and growth opportunities.

Olga is a data intelligence and activation platform designed for restaurants, enabling them to analyze customer consumption behavior and enhance the dining experience both on-site and through delivery. By integrating data management, customer loyalty programs, and self-service options, Olga helps restaurants optimize operations and increase sales.

Wyder offers a mobile crowdsourcing platform that lets businesses gather real‑time, location‑based market insights by assigning paid micro‑tasks to everyday consumers. Participants complete simple actions such as product checks or store visits, and businesses receive verified, geotagged data through an instant dashboard, reducing research costs and speeding decision‑making.

The startup operates a technology platform that provides quality control services for applications utilizing language models such as ChatGPT, Claude, and Cohere. It enables businesses to effectively manage prompts, conduct system testing, evaluate quality results, and monitor systems in production, ensuring reliable and efficient operations.

Zoox Smart Data provides an AI-powered platform that automates business intelligence and operational workflows. It enhances lead generation and data qualification with extensive B2B datasets and AI models, enabling sales and HR teams to optimize outreach and hiring processes.