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Accelerate your AI & ML initiatives for accurate results
Bring efficiency into your processes with edge computing, ML models, and apt human intervention.
Your strategic move to AI-powered digital operations
Leverage state-of-the-art techniques for quick and accurate video annotations. Our expert annotators meticulously label your video streams and seamlessly train your computer vision models to ensure precise results.
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Make it easy for machines to recognize audio and improve data labeling accuracy with the amalgamation of humans and technology. We leverage superior tools to tag metadata and additional keynotes in audio files for better prediction.
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Train your ML models based on natural language processing and help machines understand and identify human emotions in texts. We offer metadata labeling in multiple languages for AI algorithms for prediction accuracy.
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Power your AI and ML initiatives with pixel-perfect image annotation. Our purpose-built services can be customized per use case, incorporating bounding boxes, polygon annotations, keypoint annotation, LiDar, semantic segmentation, and image classification.
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Drive your CX capabilities by training your artificial neural network with precisely tagged data sets. Our skilled professionals and cutting-edge technology can make your machines an expert in recognizing real-life characters.
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Seamlessly train your chatbots to tackle standard customer problems and allow your support agents to focus more on complex issues. Our comprehensive predictive analytics and human-assisted setups help chatbots to respond even in complex scenarios. Furthermore, deploying FAQs in chatbots based on historical data and market trends can elevate customer satisfaction.
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Identifying and surfacing the most relevant information from Big Data is pivotal to tag datasets and train algorithms efficiently.
Platform and workflows should be configurable to the needs of your ML-assisted tools. In addition, human expertise needs to adapt to your complex requirements and provide model-ready data at scale.
Predictive analytics must use historical data and correlated end-user experience to forecast future events and anticipate demands.
Streaming data analysis should enable algorithms to become aware of incidents before they develop into problems. This can deliver better service quality by resolving issues proactively, preventing costly downtime, and boosting end-user experience.
85%
Customer Satisfaction
Boosted
78%
Call Quality
Enhanced
75%
Service Level
Agreement Achieved
20%
Increase in footfall
22%
Conversion achieved
15%
Improvement in overall NPS score
87%
Orders successful
17%
Decrease in order cancellations
200%
Increase in daily average sales value
$2 Million
Generated as revenue within 3 months of lockdown
1619%
Increase in sales from month 1 of lockdown
315%
Avg. month-on-month increase in sales for 3 months
53 crores+
additional annual revenue
9 lakhs
customers acquired
38 lakhs
additional revenue per agent per month
33%
Improvement in DE
(Partner Satisfaction)
14%
reduction in AHT
24%
reduction in TAT
100%
WFH Support as per need
4.28/5
CSAT
Score
93%
Quality
Score
5.52 minutes
Average Resolution Time
51.5%
Improvement in Net Promoter Score (NPS)
19.3%
Reduction in customer repeat contact rate
93%
of Social cases responded within 20 minutes
INR 20M+
Worth of revenue generation
3089%
Increase in ROI
30%
Growth in First Call Resolution (FCR)
16%
Reduction in First Response Time (FRT)
10%
Improvement in Call Quality