AI Evaluation
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"Is this thing even working?"
We make sure your AI isn’t just generating text—it’s generating the right text. Across inputs, edge cases, and that one intern who types like it’s still 2007.
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Battle-tested with the best tools in town
We cut through the noise and pick from the top LLM eval libraries—Opik, DeepEval, Phoenix, and more—so you don’t have to play comparison bingo.
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Go-live confidence, minus the chaos
Before you hit deploy, we stress-test your AI to make sure it behaves, delivers value, and doesn’t spiral into weirdness. Smooth launch. Happy users. Fewer surprises.
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The Problem (If You Don’t Get Serious About Evals)
Spoiler: A lot. Here's what you're risking when you skip the sanity check:
🧟 Hallucinations – Your model starts making stuff up, confidently. Great for fiction, terrible for customers.
🙈 Bias & unfair outcomes – Left unchecked, your AI might treat people differently for all the wrong reasons.
🤯 Inconsistent responses – Ask it the same thing twice, get two wildly different answers. Not a good look.
📉 Missed business impact – Without evaluation, you can’t tell if your model is actually driving value—or just sounding smart.
🚨 Reputation risk – One bad output screenshot can go viral. Yikes.
🛠️ Harder to improve later – No benchmarks = no idea what's working, what’s broken, or what to fix first.
Your AI isn’t magic—it’s math.
And like all good math, it needs to be tested, tuned, and taken seriously before it faces the real world.
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What we offer?
AI Evaluations ensures that your AI application can deliver reliable results by handling diverse inputs, hence delivering real value to your users.
With a flood of platforms claiming to “solve” LLM evaluation, how do you choose? We help in breaking down the few leading tools/ platforms/ libraries—Opik by Comet, DeepEval by Confident AI, DeepChecks, Phoenix by Arize AI, Langfuse and Humanloop—using clear criteria.
So you can pick your LLM evaluation partner quickly based on your needs and start building robust AI.
