We see a better future with AI
Establishing a strong foundation for effective and scalable enterprise AI
We see a better future with AI
Establishing a strong foundation for effective and scalable enterprise AI
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.
98%
Quality consistency
<1
Week project kick-off
100K+
Quality consistency
Our end-to-end AI data services
AIML Ops
We design, build, and operate AI solutions connecting data, models, and human judgment to accelerate automation, improve accuracy, and scale AI safely.
Data Analytics
We turn raw data into real insight, helping organizations measure, predict, and act with confidence through advanced analytics and AI-driven intelligence.
Data 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.
AI Talen
We mobilize global talent to power data labeling, testing, and evaluation at scale, accelerating AI development with precision and speed.
Data Services capabilities
What’s your biggest challenge? Whatever it is, as a global leader
in automotive services we have done this millions of times for
the most innovative brands in the world. Now we can do this together.
What’s your biggest challenge? Whatever it is, as a global leader in automotive services we have done this millions of times for the most innovative brands in the world. Now we can do this together.
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
- Field data collection
- Moderated data collection
- Crowd data collection
- Synthetic data creation
- QA accuracy and completeness
Case study
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 synchroniz...
2 High-fidelity multispeaker datasets improving enterprise AI performance
2 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
Powering enterprise AI through human and AI collaboration
Leadership supported
by global structure
and deep expert
Akash Pugalia
Chief Digital Officer
Sachin Garg
EVP, Data Analytics
Samanth Duvvuru
EVP, Data Consulting
Yun Choi
VP, Product & Program Management
Saravanan Dantu
EVP, Data Engineering
Sheel Singh
VP, AIML Ops
Rob Lewington
SVP, Head of T&S
Arnav Sharma
VP, Principal Data Scientist
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