For partners
A prediction layer for your platform.
You've built the product and earned the customer relationship. We've built the forecasting engine your customers are asking for. Plug us in, keep the relationship, ship the feature you couldn't economically build alone.
Section 1
The problem we solve for you.
Your customers want predictions. Demand, footfall, staffing, stock, occupancy, whatever the operational nouns are in your vertical. They are asking you for it. They might already be asking a competitor for it.
The honest economics of building this yourself are ugly. A small data science team is £400k a year, eighteen months of build before you have got something credible, and a delivery risk that scales with the number of customers you have already promised. Most vertical SaaS founders look at the maths and quietly bury the request.
We are the way you ship it anyway.
Section 2
What partnership looks like.
You bring the product, the customer base and the domain knowledge. We bring the engine, the science team and the API. The forecasts surface natively inside your product so your customers don't see TUBR, they see a smarter version of you.
01
It's white-label or co-branded, your call.
"Powered by TUBR" is available if you want the credibility; full white-label is available if you would rather we stay invisible. We treat that as a commercial lever, not a fixed position.
02
Pricing is flexible.
Per-outlet with volume tiers is our default, but we are open to revenue share, per-call, or hybrids. We would rather find the model that fits your business than impose ours.
03
Integration is genuinely fast.
We provide an OpenAPI spec and a sandbox. Most partners get to a working integration in a few weeks.
Section 3
Explainability is part of the deal.
When your customers ask "why does the forecast say that?" — your support team has an answer. Every prediction we deliver comes with the causes that produced it. That changes the support burden, the adoption curve, and the conversation when a forecast misses.
This is the thing partners using black-box forecasting vendors don't get, and it's the single biggest reason their predictive features stall in the field.
Section 4
The foundational partner programme.
We're opening a small cohort of foundational partners now, across hospitality-adjacent verticals, retail, transport and operations platforms. Foundational partners get:
·
Preferential commercials, locked in for the duration of the relationship
·
Direct line to our engineering and science teams
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Input on roadmap and the shape of new vertical capabilities
·
Co-marketing where it makes sense
This isn't an open self-service tier. We're picking partners we want to build deep relationships with.
Section 5
Proof.
Pending
Salon — retail-style
63% and 71% product sales uplift in an eight-week salon trial.
Read the case study →Tubr Live — reference implementation
The engine running natively as a hospitality product for independents. A working example of what an embedded TUBR looks like.
tubr.live →Worth a conversation?
If you've got a customer base that would benefit from sharper forecasting, and you'd rather not build a data science team to deliver it, we should talk.