Move fast with confidence. Run A/B tests, feature flags, and LLM experiments backed by rigorous statistics and self-improving AI optimization.
Continuously optimize prompts, parameters, and routing using genetic algorithms and reinforcement learning. Learns from real user outcomes automatically.
Sequential testing, confidence intervals, and guardrail metrics so you make data-driven decisions with confidence.
Experiment on LLM models, prompts, and parameters transparently. OpenAI-compatible API acts as a drop-in replacement.
Define what you want to test: feature flags, A/B tests, LLM experiments—or let AI auto-optimize.
{
"name": "Pricing Test",
"type": "a/b",
"variants": ["$39", "$49"],
"metric": "conversion"
}Add our SDK to your app (2 lines of code). Supports Python, Node.js, Go, Ruby, Java.
const client = new XVariantClient('your-api-key');
const config = await client.getAssignment(userId, experimentId);We tell you when to ship, backed by statistics.
Test pricing, onboarding flows, and UI changes with confidence. Know which variant drives more conversions before going all-in.
"We increased conversion by 41% by testing $39 vs $49 pricing. XVariant told us to ship after 5 days with 99% confidence."
Test models (GPT-4o vs Claude), prompts (system messages), and parameters (temperature) without deploying code.
"We saved $2,400/month by routing 60% of requests to GPT-4o-mini after proving it had equal quality."
Track conversations from first message to outcome (purchase, thumbs up). Attribute success to the right variant, even days later.
"We improved user satisfaction by 23% by auto-optimizing our system prompt using XVariant's genetic algorithms."
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Your data, your infrastructure
Join product teams at fast-growing companies who use XVariant to make data-driven decisions and optimize their AI products continuously.
Have questions? Contact us or Read the docs