Imagine transforming your AI implementation at every step of the workflow. Our Thoughtworks AI Research Labs teams have developed cutting-edge tools like Thoughtworks Laibel™, an AI accelerated data labeler that uses machine teaching to accelerate AI model training, fine-tuning and evaluation.
It's what we do.
Discover benefits
Assess and boost LLM accuracy
Reduce hallucinations and create genAI applications that consistently deliver accurate, dependable results — and proactively detect and resolve potential issues.
Evaluate approaches and costs
Understand the accuracy, efficacy and cost of different approaches to evaluating your LLM based on the needs of each use case.
Enhance data security and compliance
Build genAI systems that deliver meaningful business value while adhering to all relevant security, regulatory and operational standards.
Build trust and align with goals
Gain confidence in your genAI applications through transparent evaluation methods, metrics and reporting. Ensure they deliver tangible ROI and support your business objectives.
Our services
Explore
1 hour session
Understand what’s possible with genAI through a short, high-impact session with experts from Thoughtworks AI Research Labs.
Assess and strategize
Duration: 4–8 weeks
Define the right use cases, assess your genAI readiness, and create a strategy for effective LLM application deployment and adoption.
Implement
Duration: 3–6 months
Work with relevant stakeholders to implement metrics, develop datasets, test LLM applications, build interfaces and dashboards, and conduct user acceptance testing.
Monitor
Duration: 1–2 months
Give your stakeholders the skills to use reports, dashboards and documentation to continually evaluate genAI application performance in production.
We effortlessly integrate a diverse range of ecosystem partners and platforms, enhancing adaptability and accelerating outcomes.
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Generative AINavigating the geometry of language: A new approach to synthetic text generationLearn more
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AI and MLA gentle introduction to machine teachingLearn more
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AI and MLData labeling is deadLearn more