What our clients say about Twilix.
Don't just take our word for it - see what our customers and users have to say!
Companies of all sizes use Confident AI to justify why their LLM applications - RAG, Agents, or Chatbots, deserves to be in production.
An all-in-one LLM evaluation platform to easily evaluate, compare, and share test results to identify LLM regressions.
Evaluate on any criteria using research-backed custom metrics, proven to be as accurate and reliable as human evaluation.
Metrics are battle-tested with over 4 million evaluations ran.
Metrics to cover use cases such as RAG, agents, or LLM chatbots.
Generate, upload, edit, and delete test cases to manage evaluation datasets on one centralized platform.
Generate test cases to evaluate LLM systems at scale.
Reduce friction between data annotators and engineers.
Discovery which combination of hyperparameters such as LLMs and prompt templates works best for your LLM app.
No more time wasted on finding breaking changes.
Users evaluate by writing and executing test cases in python.
Run evaluations on the cloud through simple APIs through DeepEval, the LLM evaluation framework.
No more time wasted on fixing breaking changes.
Metrics to cover use cases such as RAG, agents, or LLM chatbots.
Users evaluate by writing and executing test cases in python.
Customers sleep better knowing their LLM is behaving as expected
Deploy LLM solutions with confidence, ensuring substantial benefits and address any weaknesses in your LLM implementation.
Supply ground truths as benchmarks to evaluate your LLM outputs. Evaluate performance against expected outputs to pinpoint areas for iterations.
From altering prompt templates to selecting the right knowledge bases – we guide you towards the optimal configurations for your specific use case.
Utilize out-of-the-box observability to identify and evaluate use cases that bring the most ROI for your enterprise.
Compare and choose the best LLM workflow to maximize your enterprise ROI.
Quantify and benchmark your LLM outputs against expected ground truths.
Discover recurring queries and responses to optimize for specific use cases.
Utilize report insights to trim LLM costs and latency over time.
Automatically generate expected queries and responses for evaluation.
Identify bottlenecks in your LLM workflows for targeted iteration and improvement.
Lorem ipsum dolor sit amet consectetur adipiscing elit eleifend felis nibh dolor pellentesque venenatis in vitae euismod tincidunt mi pellentes.
Feugiat commodo neque et varius at ultrices egestas dui cras nulla id ac ultricies tortor interdum sem eu odio.
Lacinia velit mauris risus ornare qui nullaoli nam scelerisque in diam accumsa morbi sollicitudin lectus suspendisse.
Elementum sit mauris congue nulla id ornare porta enim mattis vitae amet sitolol cum ut turpis nam turpis ultrices.
Don't just take our word for it - see what our customers and users have to say!
Lorem ipsum @dataplus dolor sit amet calip net restum laper doter marit deus palium dolor veritas net marcit leut varium condlol consect consectur dragon
Laper doter marit deus palium dolor veritas net marcit leut varium @dataplus consectur dragon dolor sit dolor sit amet.
@dataplus Laper doter marit deus paliumolme dolor veritas net marcit leutel.
@dataplus Laper doter marit deus paliumolme dolor veritas net marcit leutel.
Laper doter marit deus palium dolor veritas net marcit leut varium @dataplus consectur dragon dolor sit dolor sit amet.
Lorem ipsum @dataplus dolor sit amet calip net restum laper doter marit deus palium dolor veritas net marcit leut varium condlol consect consectur dragon
Lorem ipsum dolor sit amet consectetur adipiscing elit adipiscing egestas mi sit felis nonole vivamus tortor sem mi donec aliquam lectu urna ameta vivamus et ut cras.