AI and ML companies outsource data annotation for cost-effective yet high-quality training datasets for their AI and ML models. We have listed the top 5 data annotation companies here to help you select the offshore partner that works best for your algorithms and business.
In the world of advanced AI and machine learning, data annotation plays a key role in transforming raw information into accurate and high-quality training datasets.
The data annotation tools market is surging projected to reach $5,037 million by 2030 at a remarkable CAGR of 26% from 2022 to 2030. In this fast-paced environment, data annotation companies play a crucial role in helping industries stay updated. These companies provide access to advanced tools, ensuring their clients remain at the forefront of this dynamic field.
However, alongside market growth, the number of companies offering data annotation have also mushroomed, and it might be difficult or confusing to select the right fit.
For this purpose, we have created a list of the top 5 data annotation companies that can help you get up and running with AI and ML training projects.
Impact of poor annotation on business and revenue
How we choose the top five data annotation companies
Our selection of the top five data annotation companies was based on several key factors, each playing an important role in assessing their prominence in this field.
Experience served as a foundational criterion, with focus on years of expertise in AI training solutions. Location, reflecting their global presence, was another vital aspect, ensuring their reach to a diverse clientele. Workforce strength and associated members were considered, shedding light on their capacity and expertise.
We also closely examined the range of projects they undertook, showcasing their versatility and capabilities. Their services, from data labeling to sensor fusion annotation, provided a comprehensive view of their offerings.
Furthermore, we scrutinized their reviews and ratings, tapping into user experiences and industry feedback to ascertain their overall reputation and reliability in the data annotation sector.
Top 5 data annotation companies
Appen
Established in 1996, and headquartered in Chatswood, Australia, Appen has over 26 years of experience. With a team of more than 1,125 employees across nine offices worldwide, Appen leverages the expertise of over 1 million crowd contributors, AI Training Specialists, and domain experts.
Their diverse range of services includes data collection and labeling for images, text, speech, audio, and video. Appen also offers annotation services for medical imaging, text, audio, video, and clinical records. With a commitment to linguistic diversity, their proficiency spans 235+ languages. They have successfully executed projects in over 170 countries, amassing nearly 6 billion judgments and collecting 3 million images and videos.
Client satisfaction is evident through their rating of 4.1 on Capterra and 4.0 out of 5 on AmbitionBox, based on 57 reviews. On Glassdoor, Appen holds a rating of 3.6 with a 67% recommendation rate from employees based on 1902 total reviews. However, Bark.com Reviews provide a rating of 1.7 out of 5 based on 266 reviews, indicating a mixed reception in certain contexts. Overall, Appen’s extensive experience, global reach, and dedication to AI innovation position it as a leading provider in the industry.
TELUS International
TELUS International is a global company that made its debut in the public markets on February 3, 2021. Headquartered in Vancouver, British Columbia, Canada, it operates in 32 countries worldwide, including the US, Guatemala, El Salvador, India, Ireland, Romania, Spain, the Philippines, and China. With over 70,000 team members, TELUS International is a prominent player in the industry.
Alongside an array of services spanning digital strategy, innovation, consulting, design, digital transformation, and more, the company excels in data annotation services. The company operates through 70 global delivery centers and digital studios, offering support in over 50 customer experience (CX) support languages and more than 500 data annotation languages and dialects.
When it comes to ratings and reviews, TELUS International maintains a positive reputation. On Glassdoor, it holds a rating of 3.6, with 68% of employees recommending it to a friend, based on 3406 total reviews. AmbitionBox rates TELUS International at an overall rating of 3.8. Additionally, the company scores 5.0 out of 10 on TrustRadius.
Hitech BPO
Hitech BPO, an industry leader with over 25 years of experience, specializes in data annotation services. Headquartered in Ahmedabad, India, and with a global presence in the US and UK, the company boasts a workforce of 1200+ employees, including 700+ skilled data annotators.
Their comprehensive services encompass Image Annotation, Video Annotation, and Text Annotation, enhancing the accuracy and efficiency of machine learning models. HitechBPO has successfully served over 5,000 clients globally, completing more than 3,100 projects. Their impressive client retention rate stands at 95%, showcasing their commitment to delivering high-quality data annotation solutions.
With top ratings across various platforms, including a perfect 5.0 on Gartner, a 5.0 on Bark, and strong ratings on platforms like Birdeye, Trustpilot, and Ambition Box, HitechBPO is a trusted partner for businesses seeking precise and tailored data annotation services to enhance their machine learning initiatives.
SuperAnnotate
Founded in August 2018, SuperAnnotate is located in Sunnyvale, California. As per LinkedIn, the company boasts a workforce ranging from 51 to 200 employees, with 123 associated members.
The company offers a comprehensive range of services, including Labeling, Task Automation, User Management, Video Annotations, Analytics, Quality Management, Workflow Management, and Project Management. SuperAnnotate also provides convenient templates to streamline annotation processes. With a robust clientele, SuperAnnotate serves over 200 companies, including an impressive 20% of the Fortune 20, and boasts a substantial user base of over 10,000 individual AI enthusiasts.
SuperAnnotate’s reputation is underscored by its outstanding ratings and reviews across various platforms. They have received a remarkable 4.9 out of 5 rating on G2, a TrustScore of 4.6 out of 5 on Trustpilot, a 4.1 rating on Glassdoor, and a perfect 5 rating on Capterra. This consistently positive feedback is a testament to SuperAnnotate’s commitment to delivering exceptional AI solutions and services.
Basic.ai
Basic.ai, founded in 2019 with over 7 years of experience in AI training data, is headquartered in Irvine, California. With a company size ranging from 11 to 50 employees and 18 associated members, Basic.ai maintains a dedicated team of professionals committed to delivering exceptional AI training data solutions.
Basic.ai offers a range of comprehensive services that include – Data Labeling Services, Large Language Models, Image Annotation Services, and Sensor Fusion Annotation Services. They have successfully served a multitude of clients across the globe, providing tailored AI training data solutions to meet their specific needs. They have collaborated with over 160 global annotation teams and completed 300,000+ labeled datasets with a rigorous 100% data quality review process.
Basic.ai has received a strong rating of 4.3 out of 5 stars based on 25 reviews for their BasicAI Cloud service on G2.
Annotation company selection checklist
- Does the company have a proven track record of delivering accurate and high-quality annotations?
- Have you reviewed sample annotations to assess their quality?
- Does the company specialize in the type of data annotation you require (e.g., image, text, audio)?
- Do they have domain-specific expertise if your project is industry-specific?
- Can the company handle the scale and volume of your data annotation project?
- Do they have the necessary workforce and infrastructure?
- What annotation tools and technology does the company use?
- Are their tools compatible with your project requirements?
- Does the company have robust data privacy and security measures in place?
- Are they compliant with relevant data protection regulations?
- Are the expected project timelines and turnaround times aligned with your needs?
- Is the pricing structure transparent and within your budget?
- Have you compared pricing with other annotation companies?
- Are the company’s communication channels and responsiveness satisfactory?
- Is the geographical location of the company compatible with your time zones and communication preferences?
- Have you checked online reviews, testimonials, or feedback from other clients?
- Are you considering a small trial or pilot project to assess the company’s performance?
Conclusion
In today’s data-driven market, choosing the right data annotation company is of utmost importance. These top five companies have proven their expertise, offering high-quality annotation services across diverse industries. By considering your specific needs, project scale, technology requirements, any one of these may help to accelerate your AI and machine learning initiatives.
