Ready to raise your experimentation velocity?
Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.
Kameleoon and pagent
Kameleoon is a strong experimentation and personalization platform. pagent adds the velocity: it reads your pages, proposes the hypotheses, and builds the variations as real code in your design system. Run it on its own, or with Kameleoon as the testing layer your team already ships through.
Teams choose Kameleoon when they need mature experimentation infrastructure: feature flags, personalization, and a proven runtime for strategic tests.
The governance is real, and worth keeping. What stays hard is throughput: every test still needs someone to specify it, someone to build it, and a deploy for anything coded. pagent takes that path itself, so the backlog stops outrunning your launch capacity.
pagent takes an experiment from idea to live in days, not a sprint or a quarter. Launch capacity stops being the limit on your backlog.
pagent reads the page and the data behind it. Each hypothesis is specific to that page, backed by that data, and ready to run: the kind a senior CRO strategist would write.
pagent builds variations that follow your design system. 4 out of 5 are shippable on the first try, run on desktop and mobile without flicker, and look like your live site because they are real code on your live site.
pagent builds coded variations itself and puts them live on the site. CRO can launch without a developer and without a deploy.
pagent checks its own work and allocates the traffic. The whole team can review and sign off, but nothing waits on a handoff between CRO, design and engineering.
pagent covers the pages, segments and campaigns that never reach the roadmap. The traffic you already pay for runs inside an experiment.
pagent runs every personalization as a real experiment: against a control, on a primary metric, to the statistical standard you already use, whether Bayesian, frequentist or sequential. You see a winner against control, not a guess.
Both matter. Kameleoon excels when you already know the experiment you want to run. pagent covers High Velocity Experimentation where idea and variant production are the constraint.
| Dimension | Kameleoon | pagent |
|---|---|---|
| Experiment velocity | Launch speed depends on your team's capacity to specify and build each test | Idea to live in days, without adding headcount |
| Hypothesis quality | Team-led research and roadmap prioritization | Specific to the page, ready to run |
| Variation quality | Built by CRO, design and engineering, to your standards | Real code on the live site, following your design system, no flicker |
| Implementation capacity | Coded variations and server-side tests need a developer and a deploy | Builds coded variations itself; CRO launches without engineering |
| Team coordination | Mature governance, approval and release workflows | Checks its own work, allocates the traffic; the team reviews without the loop stalling |
| Experiment coverage | Strong on prioritized, intentional experiments | Also covers the pages, segments and campaigns that never reach the roadmap |
| Validated personalization | Enterprise targeting and segmentation | Runs against a control, on a primary metric |
Yes. Many teams keep Kameleoon as the experimentation system of record and add pagent for velocity: more hypotheses, more on-brand variations, more learning from the traffic you already pay for.
pagent can also use Kameleoon as the testing layer, so pagent's variations run inside the runtime and governance your organization already trusts. That is the best-of-both-worlds path when Kameleoon is deeply embedded.
Connect Kameleoon and keep experiments in sync. Use pagent to invent and build; use Kameleoon to run and govern, or run both workflows side by side.
Yes. pagent includes analytics, A/B testing, and hypothesis management on its own. Combining with Kameleoon is optional, useful when you already invest in that stack, never required.
No. Kameleoon remains strong infrastructure for prioritized, team-planned experiments. pagent adds the velocity layer: more hypotheses, variations, and continuous optimization than any team's calendar allows.
PBX builds a variation from a prompt, and that is genuinely useful. The difference is what comes out. pagent reads the page, the data and your design system before proposing anything, then builds and checks the variation until it holds on desktop and mobile. 4 out of 5 are launch-ready on the first try, so review is a yes or no, not a rework.
Yes. Teams that already standardize on Kameleoon can keep that runtime. pagent generates the hypotheses and builds design-system-aware variations; Kameleoon can stay where tests execute.
No. pagent is fully standalone: analytics, A/B testing, and hypothesis management are built in. The combine-with-Kameleoon path is for teams that want both worlds.
Growth and e-commerce teams that already run Kameleoon, still want more experiment throughput, and do not want to abandon an established testing layer.
Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.