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Our Workforce
Our managed teams keep pace with model iterations and scale requirements by addressing everyday data labeling challenges.
How we work
Teamwork
At the backdrop of our labeling operations, there is always a team getting trained at Netsmartz Academy. While your data scientists figure out model iterations and get ready to scale, our readiness avoids lag in throughputs with new team incumbents and maintains quality and speed at scale.
Personnel Discipline & morale
We focus on ensuring that our teams have learned from your business rules. Our workforce is incentivized on accuracy. Project Managers ensure teams don’t face task fatigue caused by repetitive annotations, hence keeping our workforce in a high spirit.
Quality Circles
Accuracy across datasets is maintained with manual sampling by project managers. We follow Gold standard, Consensus, and Random sampling approach.
Continuous Improvement
We strive for improvement by keeping you in the loop on a real-time basis with all our work to seek alterations wherever required via dedicated project managers working on your use case.What You Can Expect
Your team extension at AIsmartz will feel like your home team. You can expect
Quality
We recruit, train, certify and manage a highly qualified workforce with a minimum degree in graduation. These teams are managed by seasoned project managers as they oversee and audit data labeling tasks across your team extensions, thus ensuring accuracy across datasets and efficient fatigue management.
Scale
We work with smaller teams that deliver higher data quality. We train them on benchmarked gold standards and business rules to show them what quality work looks like. Depending on your use case requirement, your team could be in sets of 8-10 workers or lesser, led by a project manager. You can scale up or down without any boundation to long term service agreements as per your model iterations
Security
Owing to us having our own Global Network Operations Center (NOC) with staff including ITIL Expert Level Certified members, we are certified Microsoft Gold partners and AWS advance consulting partners. All our employees are NDA covered with encrypted hardware and data security procedures. Your data is in safe hands!
Flexible Pricing
We understand your AI lifecycle. You can specify your manpower and tool needs if you want, or have your labeling task analyzed by our experts for free to get recommendations on best-fit labeling platforms and workforce requirements. Our cost-effective man-hour based data annotation services can be tweaked to model iterations and assist with almost any data use case, regardless of your project being in stealth mode or enterprise-grade.
Our employees are trained under the Ekarma Training Programme. It is an initiative by the department of Higher Education in the state of Haryana, India. In addition to essential digital (tech programming and designing) skill sets, the program aims to provide free training on data analysis and annotation skills to help the youth gain meaningful employment in the AI technology sector.
Our Client's Speak
Jack
Co-Founder
Revitalizing Medical Documentation with Natural Language Processing
Built a command based voice assistant to be used in Operating rooms that can help surgeons dictate operative procedures, auto-generated post-operative reports, capture images of surgical procedures and extract clips of surgical procedures read more
Partnering on Data Enrichment for Norway’s Pet Management System
The team at AIsmartz coordinated closely with the client’s Data Analysts to correct the data fields to avoid null values and bring uniformity in the data fetching structure. Our team made sure that the data was valid, accurate, complete, and consistent. read more
Taxi Mobile Solutions embarks on AI journey to elevate its Taxi Booking Platform
In the Taxi business, AI has helped immensely in understanding customers’ needs, their route preferences, spending habits, and communication patterns to solve their commuting issues. read more
SUGGESTED READS
Choosing the right Data Annotation Tool
Since the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the quality of the data and can have implications on the success or failure of your model. … read more
Key Factors to find synergy with Labeling Partner
When we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision surgeries, and all the technological innovations that have been doing the rounds lately.… read more
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