Accelerate AI innovation with runtime control.

Bring great AI products to market faster with the only control plane to release, monitor, and optimize GenAI experiences—without redeploys.

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Bring GenAI apps to market faster.
Bring GenAI apps to market faster.

Iterate rapidly on prompts and model configurations to deliver tailored experiences.

Protect GenAI user experiences.
Protect GenAI user experiences.

AI Configs give teams the tools to detect and mitigate prompt or model failures instantly.

Experiment, optimize, and quantify.
Experiment, optimize, and quantify.

Replace “vibes-based” AI experimentation with structured, data-driven optimization.

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hireologypokadrivetimepricelinefuboorca-security

Bring GenAI experiences to market faster.

Iterate rapidly on prompts and model configurations to deliver tailored experiences—without redeploying code.

Bring GenAI experiences to market faster.

Iterate rapidly on prompts and model configurations to deliver tailored experiences—without redeploying code.

Adopt and pivot models instantly

Roll out new models on day 0 and shift configurations at runtime.

Prompt iteration without redeploys

Improve user experiences with live updates to system prompts.

Segmented releases for faster feedback

Deliver to beta groups or specific user segments for real-time insights.

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Protect GenAI user experiences in production.

AI Configs give teams the tools to detect and mitigate prompt or model failures instantly, ensuring resilience.

Protect GenAI user experiences in production.

AI Configs give teams the tools to detect and mitigate prompt or model failures instantly, ensuring resilience.

Model fallbacks and kill switches

Instantly disable underperforming configurations.

Monitor prompt and model performance

Spot issues early with metrics like latency and output quality.

Roll back in real time

Switch to safe configurations without impacting users.

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Experiment, optimize, and quantify impact.

Replace “vibes-based” AI experimentation with structured, data-driven optimization. Measure what works and why.

Experiment, optimize, and quantify impact.

Replace “vibes-based” AI experimentation with structured, data-driven optimization. Measure what works and why.

Optimize for performance and cost

Test prompt variations, model sizes, and data strategies.

Quantify value

Track token usage, conversion rates, and user sentiment.

Customize experiences by segment

Deliver tailored experiences across user segments and markets with fine-grained targeting.

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  • HireologyHireology

    Hireology builds safe, scalable, AI features

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    Now the release process is fully independent from the deployment process. When we're ready to release something, the code is already deployed in production and it's just a matter of flipping flags.

    hireology
    poka
  • PokaPoka

    Poka goes “flag-first” to transform its release processes and AI innovation

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    If prompts were only on the backend, only the backend people could modify them. But since they're a flag in LaunchDarkly, the product managers, front-end developers, or even the designers might have access to modifying them if they want to test something out.

    hireology
    poka
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Optimize prompts, models and costs in real time.

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