AI & ML Model Training
Improve model accuracy, reduce development time, and scale reliably with Hugo’s expert generative AI annotation, training, and fine-tuning workforce.
Our Approach
Better data = Better AI Models
If better data = better AI, then the best humans = the best validation. From quality assurance to gap analysis, we've assembled the best talent to help you create AI models that are better in every sense of the word.
Biologists, Linguists, Mathematicians & more...
Bachelor's degrees, Master's degrees, PHDs– Hugo provides access to a global network of hand-picked experts with specific domain knowledge, linguistics understanding, logical thinking and analytical skills.
Quality & Responsible Development
Be confident your custom models uphold privacy, fairness, transparency, and ethics. Hugo rapidly pinpoints and resolves weaknesses, providing the industry's fastest evaluations for models you can trust.
Multilingual & Global Delivery
Support global model accuracy and accessibility with our extensive language and dialect coverage. Our worldwide delivery centers provide diverse, annotated datasets in +60 languages for all your AI/ML needs.
We’re constantly trying to bring the best the market has to offer to support our global business operations by identifying suppliers with the exact solution we need to solve our problem. In this case, we found an incredible partner in Hugo.
What We Do
Hugo provides end-to-end annotation services across natural language processing (NLP), computer vision, speech recognition, and multimodal AI systems—powering high-performance machine learning and generative AI models.
Generative AI
- General Prompting: Instruction, Few-Shot Learning, Contrastive, Reformulation, Meta-Prompting
- Iterative Techniques: Iterative Prompting, Query-Based Prompting, Human-in-the-Loop Feedback, Red Teaming
- Advanced Techniques: Template-Based Prompts, Conditional Prompting
- Fine-Tuning: Human Evaluation, Error Analysis, Precision Editing, Contrastive Editing, Temperature Tuning
- Iterative Feedback: Query-Based Refinement, Human-in-the-Loop Reformulation, Active Learning
- And more...
Computer Vision
- Localization Techniques: Bounding Boxes, Polygons, Polylines, 3D Bounding Boxes, Cuboid Annotations, Landmarking, Keypoint Detection
- Segmentation Techniques: Semantic Segmentation, Instance Segmentation, Panoptic Segmentation
- Classification & Recognition Techniques: Image Classification, Object Classification, Text Transcription, CBIR, Action Recognition, Event Detection
- Other Techniques: Attribute Labeling, Depth Annotation, Ego-Motion Annotation, LiDAR Annotation
- And more...
Natural Language Processing
- Text Preprocessing: Tokenization, Stemming, Stop Word Removal, Normalization
- Lexical & Syntactic Techniques: Part-of-Speech (POS) Tagging, Named Entity Recognition (NER), Parsing
- Semantic Techniques: Sentence Embeddings, Topic Modeling, Sentiment Analysis, Discourse Analysis
- Machine Learning Techniques: Machine Translation, Text Summarization, Text Classification, Dialogue Systems, Natural Language Generation
- Other Techniques: Speech Recognition, Text-to-Speech (TTS), Information Retrieval
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98.90%
Avg. Accuracy Score
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+240M
Large Language Model (LLM) prompts answered
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+200M
Images & videos annotated
Quality Always + Speed & Scale
Quality can never be overemphasized. From rigorous QA processes to team construction, we ensure that excellence keeps up with speed.
Data Accuracy
Precision is at our center. Across hundreds of NLP, ML, and deep learning projects, we average a 98.90% accuracy score.
True Inclusion
Minimize your headline risk. Hugo provides demographic, geographic, and linguistic diversity - promoting fairness and relevance across contexts.
Nimble Operations
No matter the project, we can get you from zero to production in two weeks, no excuses, no deterioration in output.
From urgent projects to unexpected demands, we’ve got your back. Access elite talent instantly, scale down seamlessly.
Holiday Seasons
Seasons of the year
Tax Season
Weather Events
Sporting Events
Brand Campaigns
Back to School
Crisis Management
How does it work?
We train & assemble your new team, and complete your pilot in as little as 2 weeks. Once you go live, we continuously work to ensure you hit KPIs.
1. Deep dive into your project goals and guidelines.
We take the time to understand your project's unique needs and goals. Our annotators become an extension of your engineering team, supporting your ML/AI initiatives within your strategic direction, timelines and budgets.
2. We develop a customized solution for you.
In as little as 2 days, we'll develop a pilot plan tailored to your unique needs. This includes selecting the right talent with domain expertise, customizing training and tool selection/onboarding.
3. Pilot execution & delivery
We get right to work annotating your sample data in-line with project guidelines. Our customized QA frameworks ensure an average accuracy of 98.90% across the range of annotation techniques.
4. QA & ongoing calibration
During & post-pilot, we surface real-time insights. From edge cases to gap analysis, your Hugo team is constantly calibrating to ensure your models are trained on the highest quality outputs.
5. Full project launch!
Curtains Up - Your dedicated team is now fully operational. We will set up regular check-ins that work with your schedule, not ours. This ensures you have real-time visibility into performance and can provide timely feedback based on your availability.
We integrate seamlessly with technology built for scale & customer excellence.
Free
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Proof of Concept
We're so confident you'll love working with Hugo, we offer a no commitment proof of concept.
FAQs
We partner with your in-house team to support engineering, design prompts, validate outputs, and fine-tune models. From iterative prompt engineering and human‑in‑the‑loop feedback to comprehensive error analysis and contrastive editing, our workforce elevates model performance while shortening your development cycle.
- Gaming and Esports – AI-generated game content, player behavior analysis, matchmaking optimization, and AI-powered game design.
- Legal and Compliance – Contract analysis, legal document review, AI-driven due diligence, and regulatory compliance monitoring.
- Sports and Fitness – Performance analysis, injury prevention, personalized training plans, and AI-powered coaching.
- Fashion and Beauty – Personalized styling recommendations, AI-driven fashion design, virtual try-on experiences, and trend forecasting.
- Construction and Architecture – Building information modeling (BIM), AI-driven design optimization, project management, and safety monitoring.
- Insurance and Risk Management – Claims processing automation, fraud detection, risk assessment, and personalized insurance products.
- Nonprofit and Social Impact – AI-driven fundraising optimization, impact assessment, volunteer management, and social media analysis.
- Automotive and Aerospace – Autonomous vehicles, predictive maintenance, supply chain optimization, and AI-driven design and engineering.
- Publishing and Journalism – Automated content generation, fact-checking, sentiment analysis, and personalized news recommendations.
- Maritime and Shipping – Vessel performance optimization, predictive maintenance, route planning, and AI-driven cargo management.
- Cybersecurity and Information Technology – Threat detection, vulnerability assessment, AI-driven network security, and intelligent incident response.
- Food and Beverage – Recipe generation, flavor optimization, supply chain management, and AI-driven quality control.
- Waste Management and Recycling – Intelligent waste sorting, route optimization, predictive maintenance for waste management equipment, and AI-driven recycling solutions.
- Mental Health and Wellness – AI-powered therapy chatbots, emotional intelligence analysis, personalized wellness recommendations, and mental health monitoring.
- Art and Design – AI-generated art, intelligent design tools, style transfer, and AI-assisted creative workflows.
- Education Technology (EdTech) – Personalized learning, intelligent tutoring systems, AI-driven curriculum development, and learning analytics.
- Nanotechnology and Materials Science – AI-driven material discovery, predictive modeling, and optimization of nanomaterials and manufacturing processes.
- Space Exploration and Astronomy – AI-driven data analysis, autonomous spacecraft navigation, and predictive maintenance for space infrastructure.
We are model-agnostic and equally fluent in the latest AI workflows and proprietary LLMs (such as ChatGPT) and top open‑source architectures (such as LLaMA, BLOOM, or Flan). If you have a niche or in‑house model, your Hugo team will receive comprehensive, custom-tailored training in your workflow.
Yes! Every project begins with a thorough analysis of your project, followed by data collection, preprocessing, and workflow adaptation. Whether you need fine‑tuning on proprietary datasets or layering in advanced techniques like meta‑prompting and active learning, we tailor models to your precise industry requirements
Yes! Beyond generative AI, Hugo offers end‑to‑end NLP support including tokenization, part‑of‑speech tagging, named entity recognition, sentiment analysis, text classification, and more.
Our standard pricing model is based on industry leading rates and hours of labor. In certain situations, we are willing to provide service based on the volume of data that you need to be annotated. We also offer discounts for long-term contracts and bulk orders.
Our agile model guarantees scalability. If you need to expand coverage, we can reassign talent and onboard additional specialists. This enables us to support fresh AI use cases or surge requirements without sacrificing speed or quality.
We support a wide variety of data types, including images, videos, text, and audio.
Hugo embeds fairness, transparency, and accountability throughout our workflows. We employ diverse, representative datasets, automated bias‑detection tools, and red‑teaming exercises to uncover edge‑case failures. Our processes comply with ISO 27001, HIPAA, and other relevant frameworks to ensure responsible deployment from pilot through production.
Hugo combines human expertise with rigorous processes to deliver unparalleled accuracy, efficiency, and scalability. Our industry-leading satisfaction rates, comprehensive security measures, and ability to handle complex, high-volume projects set us apart as the premium choice for outsourcing repetitive tasks. Moreover, Hugo has been recognized as the fastest-growing BPO company in the world for both 2023 and 2024 according to Clutch, demonstrating our commitment to excellence and our rapidly expanding capabilities in meeting diverse client needs.
Hugo’s outsourced workflows are designed to be highly customizable and adjusted at any point. You can easily update specifications, introduce new prompt templates, or revise annotation schemas at any point. We then recalibrate our QA frameworks in real time – running fresh gap analyses and peer reviews – to ensure deliverables continuously meet your evolving needs.
Our turnaround time varies depending on a number of factors, including the client, the complexity of the workflow, the industry, and the specific requirements of the project. We always work closely with our clients to carefully scope, design, and create a process flow that is custom built for their project and SLA objectives.
ROI and KPIs are defined in close collaboration with your team prior to onboarding. Common metrics include accuracy lift, reduction in human‑in‑the‑loop cycles, throughput per hour, and cost per successful generation. We track these via transparent dashboards and hold periodic reviews to ensure performance meets with your strategic goals.
Depending on your project’s scope and timeline, our outsourced team can begin in as little as two weeks. Please contact us for a more precise estimate.
The agents go through two weeks of training before production and we have a team of QAs to verify the quality of work done by the agents.
Hugo places utmost importance on data privacy, ensuring strict compliance with relevant data protection regulations and implementing stringent security measures to protect sensitive customer information. These safeguards encompass data anonymization techniques, granular access controls, and periodic security audits to maintain the highest standards of data confidentiality and integrity.
Security is woven into our operations: we enforce end‑to‑end encryption, strict key‑management policies, isolated compute environments, and role‑based access controls. Regular penetration testing and SOC‑style audits further guarantee that your data and credentials remain impervious to breaches.
Yes. We are.
We meet weekly to review real-time insights, results, and progress. We use these syncs to learn what’s working and recalibrate as needed.
We follow the mandate of the client but it is completely manual.
The client trains the PM/QAs who then train the agents. Other training materials are also provided.
- We are well-versed using a variety of tools to annotate data, including: client proprietary tools, Open-source tools like LabelMe and CVAT, and commercial software like Dataloop and Kili.
- We believe that using a variety of tools gives us the flexibility to meet the needs of our customers and to deliver high-quality data annotation services.
- Image, Video & Sensor
- Object detection and segmentation: Accurately identifying and localizing objects within images or video frames, and segmenting them at the pixel level for precise boundary delineation.
- Image classification and tagging: Assigning relevant labels or tags to images based on their content, enabling efficient organization and retrieval of visual data.
- Facial recognition and emotion detection: Identifying individuals based on their facial features and detecting emotional states from facial expressions, with applications in security, marketing, and human-computer interaction.
- Autonomous vehicle perception: Annotating data from LiDAR, radar, and camera sensors to train models for object detection, tracking, and segmentation in self-driving vehicles.
- Medical imaging: Labeling and segmenting anatomical structures, lesions, and abnormalities in medical images such as X-rays, CT scans, and MRIs to assist in diagnosis and treatment planning.
- Retail and e-commerce: Classifying product images and extracting relevant attributes for improved product search, recommendation, and inventory management.
- Security and surveillance: Detecting anomalies, intrusions, and suspicious activities in surveillance footage, and analyzing crowd behavior for public safety and crowd management.
- Agriculture and environmental monitoring: Annotating satellite and drone imagery for crop health assessment, yield estimation, and land use classification.
- Sports analytics and performance tracking: Tracking players, analyzing game events, and generating performance metrics from sports video footage.
- Augmented and virtual reality: Labeling 3D objects, scenes, and interactions for immersive AR/VR experiences and applications.
- Text
- Natural language generation: Training models to generate human-like text for chatbots, content creation, and automated reporting.
- Named entity recognition and relationship extraction: Identifying and classifying named entities (such as persons, organizations, and locations) in text and extracting relationships between them.
- Sentiment analysis and opinion mining: Determining the sentiment, emotions, and opinions expressed in text data from sources like social media, reviews, and customer feedback.
- Machine translation and multilingual NLP: Building parallel corpora and annotating text data for training accurate machine translation models and enabling cross-lingual natural language processing.
- Text classification and categorization: Assigning predefined categories or labels to text documents based on their content, enabling efficient organization and retrieval of information.
- Information retrieval and semantic search: Annotating text data to improve the relevance and accuracy of search results by understanding the semantic meaning and context of queries.
- Text summarization and simplification: Creating concise summaries of long text documents and simplifying complex text for better readability and accessibility.
- Domain-specific text analytics: Annotating and analyzing text data in specialized domains such as legal contracts, financial reports, and medical records.
- Intent classification and slot filling for dialogue systems: Identifying user intents and extracting relevant entities from natural language queries to enable accurate and context-aware responses in conversational AI systems.
- Knowledge graph construction and enrichment: Extracting entities, relationships, and facts from unstructured text data to build and expand knowledge graphs for improved reasoning and decision-making.
- Speech & Audio
- Speech recognition and transcription: Converting spoken language into written text, enabling applications like voice assistants, subtitling, and document dictation.
- Speaker diarization and identification: Segmenting audio recordings by speaker and identifying individual speakers in multi-speaker environments for improved transcription and analysis.
- Audio classification and acoustic event detection: Categorizing audio clips based on their content (e.g., music, speech, environmental sounds) and detecting specific acoustic events (e.g., gunshots, glass breaking) for surveillance and monitoring applications.
- Voice biometrics and authentication: Analyzing voice characteristics for speaker verification and authentication, ensuring secure access to voice-controlled systems and devices.
- Virtual assistants and voice user interfaces: Designing and optimizing voice-based interactions for virtual assistants, smart speakers, and voice-controlled applications.
- Emotion and sentiment analysis from speech: Detecting emotional states and sentiment from vocal cues and prosodic features in speech data.
- Audiovisual speech recognition and lip reading: Combining visual and acoustic information for improved speech recognition accuracy, especially in noisy environments or for individuals with speech impairments.
- Audio enhancement and noise reduction: Improving the quality of audio recordings by removing background noise, echo, and other distortions.
- Pronunciation assessment and language learning: Evaluating the accuracy and fluency of non-native speakers and providing feedback for language learning applications.
- Music information retrieval and recommendation: Analyzing and annotating music data for tasks such as genre classification, lyrics transcription, and personalized music recommendation.
Hugo supports email, chat, social media, SMS, in-app, and voice channels.
Our accuracy rate is typically 95% or higher. We use a variety of quality assurance measures to ensure the accuracy of our data, including manual review, peer-to-peer review, and machine learning algorithms.
Our turnaround time varies depending on a number of factors, including the client, the complexity of the workflow, the industry, and the specific requirements of the project. We always work closely with our clients to carefully scope, design, and create a process flow that is custom built for their project and SLA objectives.
Every Hugo team includes a dedicated manager who oversees training, daily operations, and performance. This team lead will serve as your main point of contact to keep things running smoothly, facilitating communication between your in-house team and your agents overseas.
We take security very seriously. We are ISO 27001 certified, SOC 2 certified, and GDPR compliant and follow industry best practices to protect our customers’ data, including:
- Encryption: We encrypt all of our data at rest and in transit.
- Access control: We only grant access to our data to authorized personnel.
- Auditing: We regularly audit our security procedures to ensure that they are effective.
Michael Connor on the Impact of Gen AI in Consumer Goods
Discover how Generative AI is reshaping the Consumer Goods industry through personalized marketing and innovative engagement strategies, as explained by industry expert Michael Connor.
