We see a better future with AI
Building the data foundation that makes enterprise AI possible at scale
We see a better future with AI
Building the data foundation that makes enterprise AI possible at scale
Where quality data, human expertise, and AI come together, safely
End-to-end data services designed to improve AI performance by combining quality data, human expertise, and AI orchestration, creating a reliable foundation for AI to scale safely.
Better performance, made possible at enterprise scale
98%
Quality consistency
<1
Week project kick-off
100K+
Annotated assets delivered in 6 months
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 meaningful 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 talent
We mobilize global talent to power data labeling, testing, and evaluation at scale, accelerating AI development with precision and speed.
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Field data collection
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Moderated data collection
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Crowd data collection
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Synthetic data creation
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Quality Assurance (QA)
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Multimodal data labeling
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Labelling for physical AI
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Specialized annotation services
- Red teaming / adversarial testing
- Model evaluation & alignment
- Consulting & advisory
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CX analytics
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Workforce Management (WFM)
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Predictive and decision analytics
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Operating model advisory
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Design agentic workflows and process models
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Data strategy & consulting
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Data migration and DW implementation
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Cloud preparedness and transition
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Governance and quality
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Data modernization
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Smarter data platforms
Case study
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 by bringing human and AI together
A differentiated set of capabilities combining human expertise, scalable data workflows, industry context, and enterprise-grade security to make more possible with AI across the data lifecycle.
Leadership supported by global structure
and deep expertise
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
SVP, AIML Ops
Rob Lewington
SVP, Head of T&S
Arnav Sharma
VP, Principal Data Scientist
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Discover how quality data, human expertise, and AI work together to turn your data into a competitive advantage.
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