Where quality data, human expertise, and AI orchestration converge, safely
End-to-end data services designed and operated to improve AI performance through quality data, human expertise, and AI orchestration. TP.ai Dataservices provides a reliable data foundation for AI scalability.
Built to deliver performance at enterprise scale
Our end-to-end AI data services
We design, build, and operate AI solutions connecting data, models, and human judgment to accelerate automation, improve accuracy, and scale AI safely.
We turn raw data into real insight, helping organizations measure, predict, and act with confidence through advanced analytics and AI-driven intelligence.
We design, build, and operate data systems that collect, store, and transform data, making it usable for analytics, AI/ML models, and operational applications.
We mobilize global talent to power data labeling, testing, and evaluation at scale, accelerating AI development with precision and speed.
Ops
We design, build, and operate AI solutions connecting data, models, and human judgment to accelerate automation, improve accuracy, and scale AI safely.
Analytics
We turn raw data into real insight, helping organizations measure, predict, and act with confidence through advanced analytics and AI-driven intelligence.
Engineering
We design, build, and operate data systems that collect, store, and transform data, making it usable for analytics, AI/ML models, and operational applications.
Talent
We mobilize global talent to power data labeling, testing, and evaluation at scale, accelerating AI development with precision and speed.
Data Services capabilities
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Multimodal data labeling
- Labelling for physical AI
- Specialized annotation services
- Red teaming / adversarial testing
- Model evaluation & alignment
- Consulting & advisory
- CX analytics
- WFM analytics
- Predictive and decision analytics
- Operating model advisory
- Design agentic workflows and process models
- Data strategy & consulting
- Data migration and DW implementation
- Cloud preparedness and transition
- Governance and quality
- Data modernization
- Smarter data platforms
TP.ai Dataservices capabilities
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Multimodal data labeling
- Labelling for physical AI
- Specialized annotation services
- Red teaming / adversarial testing
- Model evaluation & alignment
- Consulting & advisory
- CX analytics
- WFM analytics
- Predictive and decision analytics
- Operating model advisory
- Design agentic workflows and process models
- Data strategy & consulting
- Data migration and DW implementation
- Cloud preparedness and transition
- Governance and quality
- Data modernization
- Smarter data platforms
100K high-fidelity video assets enabling physical AI safety detection
A global leader in accelerated computing needed reliable visual datasets to train AI models capable of detecting warehouse safety risks. Using TP.ai Dataservices solution, the client built a human-in-the-loop data production framework that recreated real warehouse scenarios through controlled simulations and synchronized multi-camera capture. The result: 100K structured warehouse video assets delivered with 99% annotation accuracy in just three weeks, giving the client high-quality training data to accelerate physical AI development and strengthen real-time safety detection.
High-fidelity multispeaker datasets improving enterprise AI performance
A global technology leader developing AI-powered collaboration tools needed realistic conversational data to strengthen meeting intelligence capabilities. Working together with TP, the team designed enterprise meeting simulations and captured synchronized audio and video interactions to create structured, training-ready datasets for AI models. The result: structured meeting scenarios delivered with 100% of multimodal minutes completed in just three days, providing high-quality data to improve multispeaker attribution, conversational context tracking, and real-time AI understanding of enterprise conversations.
Powering enterprise AI through human and AI collaboration
A differentiated set of capabilities combining human expertise, scalable data workflows, industry context, and enterprise-grade security to support AI across the data lifecycle.
1.
Scalable human-in-the-loop + AI workflows
Blend human expertise and AI tools to deliver safe, high-quality, scalable training data pipelines.
2.
Multimodal & multilingual excellence
Support all data types and languages at scale for complex global AI deployments with consistent quality.
3.
Industry-tailored solutions with proven outcomes
Deep understanding of client domains to deliver measurable business impact beyond labeled data.
4.
Compliance-ready & enterprise-grade security
Ensure enterprise-grade security and regulatory compliance by design for trusted AI operations.
1. Scalable human-in-the-loop + AI workflows
Blend human expertise and AI tools to deliver safe, high-quality, scalable training data pipelines.
2. Multimodal & multilingual excellence
Support all data types and languages at scale for complex global AI deployments with consistent quality.
3. Industry-tailored solutions with proven outcomes
Deep understanding of client domains to deliver measurable business impact beyond labeled data.
4. Compliance-ready & enterprise-grade security
Ensure enterprise-grade security and regulatory compliance by design for trusted AI operations.
Leadership supported by global structure and deep expertise
Akash Pugalia
Chief Digital Officer
BIOGRAPHY
Leads TP.ai Dataservices and the company’s Global Trust & Safety practice. He is responsible for advancing responsible AI adoption at scale, ensuring that data, human oversight, and technology work together to power intelligent and secure digital ecosystems. Known for his strategic foresight and ethical leadership, he is recognized for building scalable, high-performing teams that protect users and strengthen brand trust across the world.
Sachin Garg
EVP, Data Analytics
BIOGRAPHY
Digital Transformation leader with 19+ years of experience spanning across a wide variety of industry verticals, research, and analytical methodologies. Performed mission critical analytics around customer experience, churn reduction, fraud detection, customer acquisition, and effort reduction.
Samanth Duvvuru
EVP, Data Consulting
BIOGRAPHY
Accomplished Executive Leader with a track record of driving revenue growth, building and scaling practice organizations/GBS/GCC Centers, and driving enterprise-wide change and transformation. Primary focus on driving analytics and data-enabled digitization initiatives in enterprise operations.
Yun Choi
VP, Program Management
BIOGRAPHY
Strategic technology leader with over 15 years of experience driving innovation at the intersection of AI, data, and digital trust. As Vice President of TP.ai Dataservices & Trust & Safety, Yun leads global programs that combine advanced AI capabilities with human expertise to help clients deploy secure, scalable, and ethically-aligned AI solutions.
Saravanan Dantu
EVP, Data Engineering
BIOGRAPHY
Accomplished data and technology executive with over 25 years of experience leading global data management, architecture, and analytics initiatives across large-scale, complex organizations. Currently he drives the company’s global vision for enterprise data platforms, transforming how data is collected, managed, and leveraged to power AI innovation and operational excellence.
Tyler Ashby
SVP, Crowdsourcing
BIOGRAPHY
An accomplished, customer-focused operations leader with 20 years of experience managing multiple aspects within a BPO organization, as well as owning or influencing Internal omnichannel solutions. Proven track record of successfully building and leading operations with ownership of all functions including training, HR, strategy development, customer success, ramp-up, product development, and sales.
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