Data Annotation Services

Elevate your AI and machine learning models with precision and accuracy using Digital Engine's expert Data Annotation Services. We offer high-quality image annotation, text annotation, video annotation, and more, tailored to meet the unique needs of your projects. Our services ensure that your data is meticulously labeled and ready for robust model training. With our advanced tools and experienced team, we guarantee scalability, speed, and consistency, helping your AI systems perform at their best.

Why Us?

We Take Pride in Our Numbers!

Years of Experience

30+

Countries serviced

700+

Projects completed

50+

Developers

Our Services for Data Annotation

Image Annotation

Our AI specialists use cutting-edge image annotation methods such as bounding boxes, polygon annotation, key point annotation, LiDAR, semantic segmentation, and image classification to meticulously label both general and industry-specific images. Each pixel is carefully examined to ensure high-quality results, tailored to enhance the accuracy of your machine learning models.

Text Annotation

Our customized text annotation services are ideal for enhancing natural language processing (NLP) and machine learning models. We specialize in tasks like sentiment analysis, intent detection, and named entity recognition (NER). With a team skilled in advanced annotation tools, we efficiently handle large datasets, helping businesses save time and resources while improving model accuracy.

Video Annotation

Leveraging our expertise in video annotation, we efficiently train computer vision models for accurate object detection and identification. We employ a variety of video labeling techniques, including bounding boxes, polygon annotation, key point annotation, and semantic segmentation, tailored for diverse industries such as autonomous vehicles, drones, and robotics. Our precise video data annotation ensures high-performance AI applications, enabling advanced functionalities in areas like self-driving technology and automated systems.

Audio Transcription and Annotation

Maximize your audio data's impact with our expert audio transcription and annotation services. Perfect for applications such as market research and speech recognition, we transform audio into machine-readable text and precisely annotate it for named entity recognition (NER), sentiment analysis, and conversation categorization. Enhance your machine learning and NLP models by leveraging our detailed and efficient audio data processing.

Approaches of Data Annotation That We Use

The following data annotation methods ensure precision and quality assurance during the creation of AI training data:

Bounding Boxes

We utilize advanced bounding box annotation techniques to classify objects within images and videos for various applications, including machine learning, robotics, autonomous vehicles, and retail analytics. This precise method ensures accurate data labeling, enhancing the performance of AI models across these industries.

3D Cuboid Annotation

Our advanced 3D cuboid annotation accurately captures object shape, size, and orientation. By utilizing this precise methodology, we empower AI models with comprehensive spatial understanding for superior decision-making.

Landmark Annotation

We utilize advanced bounding box annotation techniques to classify objects within images and videos for various applications, including machine learning, robotics, autonomous vehicles, and retail analytics. This precise method ensures accurate data labeling, enhancing the performance of AI models across these industries.

Polygon Annotation

Our precise polygon annotation service accurately delineates objects in images and videos. By creating detailed polygon shapes around target objects, we enhance object detection and localization for superior AI model performance.

3D Point Cloud Annotation

Enhance object detection and measurement accuracy with our 3D point cloud annotation services. By precisely labeling points in 3D space, we empower AI models to understand object shape, size, and orientation with unparalleled detail. This leads to improved performance in tasks like object classification and dimensional measurement, driving better decision-making for your business.

Skeletal Annotation

We utilize advanced bounding box annotation techniques to classify objects within images and videos for various applications, including machine learning, robotics, autonomous vehicles, and retail analytics. This precise method ensures accurate data labeling, enhancing the performance of AI models across these industries.

Semantic Segmentation

Semantic segmentation unlocks deeper image understanding. By assigning labels to every pixel, we overcome the limitations of traditional image processing. This advanced technique provides granular insights, enabling AI systems to accurately interpret and analyze visual content.

Polyline Annotation

Polyline annotation empowers autonomous vehicles with precise lane detection. By accurately outlining road lanes, we enhance the ability of self-driving cars and other mobile devices to navigate safely and reliably.

Why Digital Engine?

Domain Expertise

Our expert data annotation team delivers precision through industry-specific knowledge. With a deep understanding of diverse domains, we create meticulously labeled datasets that unlock maximum value for your AI projects.

Equipped to Handle Complex Projects

Leveraging advanced AI and annotation technology, we deliver scalable solutions for massive datasets. Our expertise ensures seamless handling of complex, large-scale annotation projects, meeting your project's unique requirements.

Covers a Variety of Industries

Our diverse team and advanced technology deliver tailored data annotation solutions. We offer industry-specific expertise to meet the unique needs of various sectors, ensuring precise and efficient data labeling for your AI projects.

Dedicated Team

Our expert data annotation team delivers precision and accuracy. With meticulous attention to detail, we provide high-quality annotations that empower clients to make data-driven decisions with confidence.

Industries We Cover

Healtcare

Enhance your healthcare capabilities with our medical data annotation services. We enable healthcare organizations to analyze large volumes of medical data, such as patient records and medical images, with improved accuracy and efficiency. Our machine learning models, trained on expertly annotated data, empower healthcare providers to diagnose diseases rapidly, monitor patient progress effectively, and innovate new treatments. Optimize your medical data analysis with our precise annotation solutions tailored for the healthcare industry.

Insurance

Insurance companies can leverage machine learning models trained on annotated data to swiftly and accurately detect fraudulent claims, assess risks, and enhance underwriting processes. By utilizing AI-powered insurance tools and systems developed with annotated data, companies can automate routine tasks, personalize policies, and significantly improve the customer experience. Enhance your insurance services with advanced data annotation, helping your organization stay competitive and efficient in the rapidly evolving insurance industry.

Finance

Machine learning models trained on annotated financial data enable companies to efficiently detect fraud, identify lucrative investment opportunities, and manage risks with precision. Leveraging data annotation, financial institutions can also develop AI-powered tools and systems to automate tasks, streamline operations, and make informed, data-driven decisions. Enhance your financial services with advanced data annotation, empowering your organization to stay ahead in the ever-evolving financial landscape.

Autonomous Vehicles

Through precise and detailed annotations of 2D and 3D data related to traffic, roadways, and environments, data annotation empowers machine learning models to accurately detect and respond to potential hazards while navigating complex environments. This ensures that AI-driven systems, such as autonomous vehicles, can safely and effectively operate in real-world conditions. Enhance your machine learning models with our expert data annotation services, driving innovation in autonomous technology and advanced navigation solutions.

AI Models We Have Expertise In

GPT-4

A collection of OpenAI models that, because of their enhanced general knowledge and sophisticated reasoning abilities, are very accurate at solving complicated issues.

LLaMA

A basic large language model called LLaMA (Large Language Model Meta AI) can create text, hold conversations, summarise textual content, solve mathematical theorems, and predict protein structures.

PaLM 2

The most recent version of Google's comprehensive language model excels in carrying out complex reasoning tasks like code interpretation, mathematical solutions, classification, answering queries, and multilingual translation. This model, which outperforms earlier attempts at natural language production, demonstrates Google's dedication to ethical AI.

Claude

Anthropic's Claude is a large language model (LLM) that was developed as a virtual assistant and is compatible with business processes. Claude can be accessed in Anthropic's developer console via both an API and chat interface. It is capable of handling a wide variety of conversational and text-processing tasks.

DALL.E

Based on language prompts, OpenAI's DALL·E produces realistic visuals and artwork. It can create photos with a given size, edit already-existing images, and create several versions of images that the user uploads.

Whisper

Whisper is an OpenAI model for general-purpose speech recognition that can also translate speech, identify languages, and recognize speech in many languages.

Stable Diffusion

In addition to producing detailed images in response to text cues, Stable Diffusion can be utilized for tasks such as text-guided image-to-image translations and inpainting.

phi-2

Phi-2 is a sophisticated 2.7 billion parameter Transformer that performs close to top-tier on important language understanding and reasoning benchmarks. It is enhanced with a variety of NLP data.

Google Gemini

Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023.

Vicuna

Vicuna is a chatbot designed for AI, NLP, and machine learning research. It is based on Llama 2 and was improved with user interactions via ShareGPT. Its target users are researchers and enthusiasts in these fields.

Mistral-7B-v0.1

Mistral-7B is a decoder-based LM that performs two tasks: it creates material and modifies it by categorizing user prompts and answers into groups that include illicit acts such as fraud, child abuse, and terrorism.

bloom-560m

In addition to direct language exploration, the Bloom-560M model serves specific tasks including information extraction, question answering, and summary for public research in text generation and analysis.

The Technology Stack We Use for Data Annotation

ML Tools

Quality Control and Management

Programming Languages

Data Annotation Tools

Cloud Providers

Databases

Some of Our AI Projects

A leading manufacturing business and Digital Engine worked together to create a cutting-edge LLM-powered machinery troubleshooting application. This creative solution reduces operational risks for the company, improves adherence to safety protocols, and expedites the repair of company equipment. The program enhances safety by offering clear and comprehensive instructions on equipment use, while also facilitating quick access to pertinent information for troubleshooting difficulties through the seamless integration of static machinery data and dynamic safety policies.

Safety Compliance:

It offered clear instructions on how to handle equipment safely.

Efficient Troubleshooting:

The app facilitated workers to have quick access to relevant information for fixing machinery issues.

A User-friendly Interface:

Its user-friendly, easily navigable interface enabled workers to handle machinery tasks easily.

Requisite Form Automation:

It offered clear instructions on how to handle equipment safely.

LLM-powered Application for Safer Machinery Troubleshooting

A manufacturing business had to make sure that its employees followed strict safety procedures in addition to handling various types of machinery. The company maintained a number of manuals and databases with details on pre-repair procedures, safety procedures, and equipment troubleshooting techniques. Before beginning equipment maintenance, employees had to find their way around these resources. Regrettably, this procedure was inefficient and time-consuming. The company, confronted with these obstacles, asked Digital Engine to collaborate with it to design a solution that would simplify this intricate procedure, improve operational effectiveness, and guarantee that workers strictly comply to safety regulations throughout all of its manufacturing facilities.

To address this, Digital Engine created a unique LLM-based application that allowed the company to easily combine its dynamic safety standards with its static machinery data. A hybrid strategy was used, which smoothly integrated embedding techniques for dynamic safety regulations with LLM fine-tuning intended for static equipment data. The end product was an intelligent application with a vast knowledge base that provided exact and accurate answers to the questions that the employees of the organization asked. The manufacturing company's employees received context-aligned instruction from the application using prompt engineering procedures, which further tailored it and ultimately improved productivity and safety in the workplace.

Swift Query Handling :

The app provided ready access to accurate information, reducing search time and improving troubleshooting efficiency.

Context-aligned Responses:

Offered precise guidance aligning with the organization’s equipment/safety rules and protocols.

Reduced Accidents:

The app helped minimize on-floor accidents by reinforcing safety practices.

Operational Efficiency:

The application facilitated automated knowledge sharing, reducing reliance on human resources.

AI-powered Medical Assistant for Streamlined Disease Diagnosis

A GenAI-based clinical decision support system designed specifically for a prestigious healthcare institution that uses advanced algorithms and natural language processing (NLP) to assess a variety of patient data and deliver medical practitioners quick and precise disease diagnoses. The platform's intuitive interface streamlines the diagnosis process by providing evidence-based insights and thorough reports that include suggestions for therapy, testing guidance, patient education, and specialist referrals. In the end, our system improves patient care by integrating generative AI seamlessly and encouraging effectiveness, accuracy, and creativity in the provision of healthcare.

Intelligent Diagnoses

Reduces the possibility of missing or delayed diagnoses by using intelligent analysis of patient data to produce a carefully selected list of possible diagnoses.

User-friendly Interface

Has an easy-to-use interface that allows for quick data entry during consultations, streamlining the diagnosis process and saving medical professionals' time.

Structured Report

Provides complete final disease recommendations that include thorough conversations, advice on testing, therapy recommendations, specialist referrals, and patient education.

Evidence-driven Insights

Ensures that patients receive care that is in line with the most recent medical knowledge by basing treatment decisions on strong evidence.

Clinical Decision Support System driven by GenAI

The customer required a solution that would make it easier for medical professionals—especially physicians—to collect and evaluate patient data during consultations in order to streamline and enhance the process of diagnosing diseases. In order to develop a sophisticated AI medical assistant, the client turned to Digital Engine's experience to automate and simplify the difficult diagnostic workflow. The primary need was to create a tool that could process a wide range of patient data, such as demographics, symptoms, medical histories, and physical exam results, in order to support the creation of comprehensive and empirically supported differential diagnoses.

A potent AI medical assistant was created by Digital Engine in response to the needs of the client. This clever technology analyzes patient data using Natural Language Processing (NLP) to provide quick and precise disease diagnoses, guaranteeing a streamlined diagnostic procedure with increased accuracy and efficiency. The AI-driven assistant has continuous learning capabilities and makes recommendations based on evidence that are seamlessly incorporated into the client's healthcare processes. The device met the client's need for a flexible and effective tool by greatly enhancing the diagnostic workflow for medical professionals.

The app's final output provides the three most likely illnesses that the patient could have, along with thorough descriptions of each recommendation for each disease:

Discussion - A thorough explanation of the illness and how it affects the patient's circumstances

Plan - Brief instructions on required tests, justification for each test, and next actions depending on test results

Therapy Needed - Specific recommendations for drugs, if any, in order to ensure successful treatment

Specialist Referral - Suggestions for specialized consultations or recommendations for focused medical attention

Patient Education - Brief instructions on crucial knowledge and counseling techniques to strengthen patient comprehension

Innovative LLM-powered Application

Digital Engine has engineered an LLM-powered app aimed at streamlining access to compliance benchmarks, frameworks, and audit-relevant data for a prominent client. Leveraging proprietary data, our team utilized advanced embedding and prompt engineering techniques to seamlessly incorporate an LLM, resulting in rapid query responses and enhanced user experiences. This initiative has equipped the client with a robust tool, fostering informed decision-making and providing clear insight into industry benchmarks as well as risk monitoring and mitigation strategies and services.

A ZBrain-powered LLM application designed to improve clients' access to and comprehension of security compliance frameworks, benchmarks, and audit-related data.

Instant Access to Information

Clients can obtain comprehensive compliance frameworks, benchmarks, and audit-related data rapidly with the help of the app.

Easy-to-use Interface

The user interface of the app is designed to be simple to use and efficiently handle queries.

Efficient Query Responses

By allowing users to ask targeted inquiries, the software saves time and effort by providing personalized responses.

Enhanced Decision-making

Clients were able to decide on security compliance measures with prompt access to reliable information.

App for Compliance and Security Access Powered by LLM

A compliance and security automation company specializing in security and compliance audits manages a vast amount of data related to various compliance benchmarks and frameworks. These include SOC 2, ISO 27001, GDPR, and others, along with details on audit methodologies and services. Despite this wealth of information, clients struggle to navigate and extract specific data efficiently. Consequently, they engaged Digital Engine to develop a solution simplifying data retrieval and enhancing client relationships. This initiative aims to automate and streamline the information retrieval process for improved efficiency.

Digital Engine created a unique LLM-powered software using ZBrain as a solution. Using embedding techniques, they constructed the app's knowledge base with the company's secret data, which included facts about their product features, audit methodologies, compliance benchmarks, etc. In addition, prompt engineering techniques were used to make the application capable of providing context-relevant advice. Not only did this creative solution make security compliance data easier to obtain, but it also significantly enhanced user experience and sped up problem-solving.

Our Unique Engagement Ecosystem

Discovery Consultation

Embark on a personalized journey with a discovery consultation tailored to your business needs. Our experts delve deep into understanding your goals, challenges, and aspirations, laying the foundation for a unique engagement strategy.

Dedicated Development Team

At Digital Engine, our adept developers seamlessly integrate avant-garde cognitive technologies, sculpting a tapestry of high-quality services and bespoke solutions meticulously crafted for our esteemed clients' digital aspirations

Custom Solution Crafting

Our team meticulously crafts bespoke solutions designed exclusively for your business landscape. Leveraging cutting-edge technologies and innovative approaches, we tailor our services to seamlessly align with your objectives and vision.

Agile Developmental Framework

Embrace agility with our development framework, ensuring adaptability to evolving project dynamics. Witness a transparent, iterative process that prioritizes feedback, incorporates changes seamlessly, and delivers tangible results at every milestone.

Continuous Communication Channels

Stay connected with our dedicated communication channels for regular updates and interactive feedback, fostering a collaborative partnership at every step.

Performance Optimization and Growth Strategies

Beyond project completion, our commitment extends to performance optimization and growth strategies. Benefit from post-engagement support, data-driven insights, and ongoing enhancements to ensure your digital journey continues to evolve and thrive.

Let's Work Together

1. Contact Us

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2. Get a Consultation

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3. Get aCost Estimate

For your project needs, we offer a tailored proposal with budget and timeline details.

4. Project Launch

After project approval, we assemble a cross-disciplinary team to initiate your project.

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We Take Pride in Our Numbers!

Our Services for Data Annotation

Approaches of Data Annotation That We Use

The following data annotation methods ensure precision and quality assurance during the creation of AI training data:

Why Digital Engine?

Industries We Cover

AI Models We Have Expertise In

The Technology Stack We Use for Data Annotation

Some of Our AI Projects

Our Unique Engagement Ecosystem

Let Us Know what is in Your Mind. All the information is kept confidentional.

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contact@ai-digitalengine.com

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Avenida do Atlantico 16,
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Data Annotation Services

We Take Pride in Our Numbers!

Our Services for Data Annotation

Approaches of Data Annotation That We Use ​ The following data annotation methods ensure precision and quality assurance during the creation of AI training data: ​

Why Digital Engine?

Industries We Cover

AI Models We Have Expertise In

The Technology Stack We Use for Data Annotation

Some of Our AI Projects

Our Unique Engagement Ecosystem

Let Us Know what is in Your Mind. All the information is kept confidentional.

Insights

Site Map

-Healthcare - Finance - Logistics - Insurance - Manufacturing - Retail - Startup - Travel - Energy - Food & Beverage - Government - Construction - Consumer Electronics - On-Demand App Dev.

+1 724 200 88 11 contact@ai-digitalengine.com

Location: - Lisbon, Portugal Avenida do Atlantico 16, 1990-019

Approaches of Data Annotation That We Use

The following data annotation methods ensure precision and quality assurance during the creation of AI training data:

-Healthcare
- Finance
- Logistics
- Insurance
- Manufacturing
- Retail
- Startup
- Travel
- Energy
- Food & Beverage
- Government
- Construction
- Consumer Electronics
- On-Demand App Dev.

+1 724 200 88 11
contact@ai-digitalengine.com

Location:

- Lisbon, Portugal
Avenida do Atlantico 16,
1990-019