How ThoughtWorks used Collinear data packs to validate real-time AI on Groq
Australian enterprises are rapidly adopting AI, but real-world success depends on more than model choice or infrastructure. AI must perform accurately, consistently, and cost-effectively under real operational conditions.
To showcase what high-performance inference could look like for customers, ThoughtWorks partnered with Groq, creator of the ultra-fast LPU, and needed large volumes of high-quality, realistic conversational data to train and evaluate their proof of concept.
The Challenge: Delivering High-Quality Data for Real-Time AI Validation
To stress-test Groq’s LPU in a scenario mirroring a complex enterprise workflow, ThoughtWorks needed:
- Thousands of realistic customer conversations to faithfully represent a high-volume call center
- High-signal training data suitable for speech-to-text and LLM evaluation
- Policy-aligned evaluation data to measure accuracy and reliability in real time
- A dataset large and diverse enough to expose performance differences under load
- A faster, lower-cost way to gather this data than manual collection
Without this data, ThoughtWorks couldn’t demonstrate meaningful real-world AI performance or cost improvements to enterprise customers.
The Solution: Collinear’s Curated Conversataion Data Packs
Collinear provided the complete data foundation required to build and evaluate the real-time POC:
- Thousands of high-fidelity conversational data samples: Collinear supplied a curated, diverse dataset of call-center–style conversations, capturing real customer phrasing, multi-turn patterns, linguistic variability, and error cases.
- Policy-Filtered & Realism-Aligned Training Data: All datasets were license-verified, cleaned, and formatted for training pipelines, ensuring safe and compliant use in enterprise-grade systems.
- Seamless Integration into ThoughtWorks’ Testing Framework: The data packs plugged directly into ThoughtWorks’ test harness, enabling rapid iteration and accurate comparison against GPU-based alternatives.
The Results: A New Benchmark for Real-World AI Performance
Powered by Collinear’s curated data, ThoughtWorks demonstrated breakthrough performance on Groq’s infrastructure:
- Up to 5× faster responses, enabling real-time, conversational AI interactions
- Up to 5× lower inference costs, making large-scale deployments significantly more affordable
- Accurate, robust behavior under high-volume load, validated with Collinear evaluation data
- A credible, data-backed demonstration for Australian enterprises evaluating real-world AI ROI
With Collinear’s curated training and evaluation data packs, ThoughtWorks was able to run a credible, data-backed benchmark that clearly demonstrated real-world gains in both speed and cost for enterprise AI workloads.
Need high-quality training data? Discover how Collinear’s curated data packs accelerate post-training alignment.
Stop guessing if your data is good enough for production. Book a demo to see how Collinear builds high-signal, multilingual data packs tailored to your models and domains.
ThoughtWorks is a global technology consultancy that integrates design, engineering, and AI to drive digital innovation. With 10,000+ employees across 18 countries, they help enterprises build scalable, trustworthy AI systems.
Australian enterprises are rapidly adopting AI, but real-world success depends on more than model choice or infrastructure. AI must perform accurately, consistently, and cost-effectively under real operational conditions.
To showcase what high-performance inference could look like for customers, ThoughtWorks partnered with Groq, creator of the ultra-fast LPU, and needed large volumes of high-quality, realistic conversational data to train and evaluate their proof of concept.
The Challenge: Delivering High-Quality Data for Real-Time AI Validation
To stress-test Groq’s LPU in a scenario mirroring a complex enterprise workflow, ThoughtWorks needed:
- Thousands of realistic customer conversations to faithfully represent a high-volume call center
- High-signal training data suitable for speech-to-text and LLM evaluation
- Policy-aligned evaluation data to measure accuracy and reliability in real time
- A dataset large and diverse enough to expose performance differences under load
- A faster, lower-cost way to gather this data than manual collection
Without this data, ThoughtWorks couldn’t demonstrate meaningful real-world AI performance or cost improvements to enterprise customers.
The Solution: Collinear’s Curated Conversataion Data Packs
Collinear provided the complete data foundation required to build and evaluate the real-time POC:
- Thousands of high-fidelity conversational data samples: Collinear supplied a curated, diverse dataset of call-center–style conversations, capturing real customer phrasing, multi-turn patterns, linguistic variability, and error cases.
- Policy-Filtered & Realism-Aligned Training Data: All datasets were license-verified, cleaned, and formatted for training pipelines, ensuring safe and compliant use in enterprise-grade systems.
- Seamless Integration into ThoughtWorks’ Testing Framework: The data packs plugged directly into ThoughtWorks’ test harness, enabling rapid iteration and accurate comparison against GPU-based alternatives.
The Results: A New Benchmark for Real-World AI Performance
Powered by Collinear’s curated data, ThoughtWorks demonstrated breakthrough performance on Groq’s infrastructure:
- Up to 5× faster responses, enabling real-time, conversational AI interactions
- Up to 5× lower inference costs, making large-scale deployments significantly more affordable
- Accurate, robust behavior under high-volume load, validated with Collinear evaluation data
- A credible, data-backed demonstration for Australian enterprises evaluating real-world AI ROI
With Collinear’s curated training and evaluation data packs, ThoughtWorks was able to run a credible, data-backed benchmark that clearly demonstrated real-world gains in both speed and cost for enterprise AI workloads.
Need high-quality training data? Discover how Collinear’s curated data packs accelerate post-training alignment.
Stop guessing if your data is good enough for production. Book a demo to see how Collinear builds high-signal, multilingual data packs tailored to your models and domains.
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