Build your product, not a quant desk.
Putting real signals in your product means data pipelines, ML models, backtesting, calibration, and a team to keep it all running. That's a quant desk, and it's not what you set out to build. Pearlixa is that quant system as an API, wired into your stack, so your engineers ship features, not models.
That was a trading app. The same call powers crypto wallets, trading platforms, DeFi analytics and robo-advisors. You build what makes you unique.
Your users will never see us.
White-label here is not a theme option, it is the contract. The signals ship as a native feature of your product, and invisibility is the default.
Nothing in your client
No Pearlixa code or requests ever reach the browser or the app store build.
Served from your domain
Your backend calls us. To your users and their network inspector, it is your feature.
Licensed in the contract
Reseller licensing covers shipping signals to your paying users, white-label included.
Your scenario, your feed.
You do not buy the whole desk. Tell us what your product needs, and that is the feed you get.
Click any field. Every combination is a contract we can ship.
The entire payload a full feed contract receives: 8 fields.
A smaller payload is not a smaller model. Every feed comes from the same engine that serves all 30 coins across every horizon; the contract only decides what you receive from it.
A close partnership, not a ticket queue.
Support through integration
A dedicated engineer from the first call, pair-programming until the feed runs in your production.
Help to expand
Co-marketing on launch, mutual referrals and a spot in our customer showcase. When an investor we know is a genuine fit, we make the introduction.
We build together
A direct channel and regular syncs, and partner needs get priority on our roadmap. We only win when you do.
Signals you can stake your product on.
Your users will judge your product by our predictions. That is a responsibility we engineered for.
Walk-forward validated
Models are tested only on data they have never seen, rolling forward through time, the same way they run in production.
Calibrated confidence
When the system says 0.87, it behaves like 87%. Your position sizing and risk rules can lean on the number.
No repainting
Every signal is timestamped at delivery. What your users saw is what the record shows.
The full methodology, including how validation works, is public. See how the system works