About Collabur
Partner programmes, operated.
Collabur is an AI-born operations service for partner and affiliate marketing programmes. AI colleagues perform the recurring operating work; accountable humans approve the terms and release every payout.
Why Collabur exists.
Partner and affiliate marketing is no longer an emerging channel. Around 84% of brands run a programme, and US spend reached roughly US$10bn in 2024. The software to track a programme is inexpensive. The recurring cost is the operating work: sourcing partners, onboarding them, reconciling tracked activity against agreed attribution rules, screening for fraud, monitoring disclosure obligations, and preparing payouts.
The gap in the market
The tooling market has split into two ends. Self-serve trackers at roughly US$49–149 per month supply software but expect the brand to supply the labour. Enterprise platforms at US$2,000–20,000+ per month add a fee on payouts and still assume the brand employs a partnerships team. Between them sit small and mid-market brands that want an operated programme but cannot justify hiring for it. That gap is where Collabur works.
The insight we build on
The unmet cost in this market is the operating labour, not the software. That labour is repetitive, rule-bounded and audit-friendly, and it is bounded by natural approval points — partner terms, commission structures, disclosure requirements and payout release. Work of that shape is well suited to AI operation under clear human governance. We treat the operating layer as the product.
How the venture is drawn
What AI does, and what humans decide.
The line between operation and governance is explicit, and it does not move.
AI colleagues do the operating work
They identify and onboard prospective partners, track referred activity against agreed attribution rules, screen referral patterns for fraud and anomalies, and compute payout amounts for review.
Accountable humans hold the decisions
A human approves partner terms, commission structures, advertising-disclosure requirements and every payout release. No payout executes without explicit sign-off, and decisions that exceed configured thresholds or trigger fraud signals are routed to a human reviewer.
Records support audit and disputes
Each referral and payout carries a record of the underlying activity and the approval step, supporting audit trails and dispute resolution.
Incentives aligned with integrity
Revenue is a subscription plus a fee scaled to programme volume, deliberately independent of payout size. Collabur is paid for running a sound programme, not for larger payouts.
The market we address
A mainstream channel with an unmet operating cost.
An AI-born venture of Future Thesis Lab.
Collabur is built by Future Thesis Lab (FTLAB), a venture studio in the Dubai International Financial Centre that builds AI-born companies — organisations designed from inception to be operated by AI colleagues under human governance. Collabur is a clean instance of that model: recurring operating work with explicit audit and approval boundaries, where fiduciary and advertising-compliance duties remain with accountable humans.
Why DIFC
Payout handling is regulated and trust-sensitive, and a purpose-built financial-district jurisdiction suits a service whose procurement includes trust and compliance diligence under human fiduciary approval. DIFC is FTLAB's home base and gives Collabur a credible base from which to build.
What we state plainly
Timing is supported by the FTC's June 2023 Endorsement Guides, which extended potential liability to advertisers, endorsers and intermediaries, and by cookie deprecation weakening older attribution methods. Our disclosure-compliance evidence is US-only; other regimes require dedicated research before we operate against them. Our central assumption — that AI can deliver the operated outcome at software-like marginal cost — is not yet proven, and we say so openly.
Collabur is at pre-seed stage. It is pre-launch, with no named team yet. The service reduces the operational burden of running a programme; it does not reduce the customer's accountability for it.