APIs · head to head
Flybits vs Paymentology

Flybits
APIs
Contextual personalisation and decisioning platform for financial institutions
- From
- On request
- Rated
- -

Paymentology
APIs
Cloud issuer processing across emerging and developed markets
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Flybits its output quality depends entirely on the completeness and accuracy of the underlying bank data it is fed, so a bank with fragmented or poor-quality customer data gets correspondingly weak personalisation.; Paymentology paymentology processes but does not hold issuing licences, so every market still needs your own licence or a sponsor bank, which is usually the slowest and most expensive part of a launch.
- They diverge on capability: Flybits covers Contextual decisioning engine, Paymentology covers Global issuer processing.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Flybits and Paymentology actually diverge.
| Attribute | Flybits | Paymentology |
|---|---|---|
| Platforms | Web, iOS, Android | Web, API |
Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (APIs).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Flybits
- Contextual decisioning engine
- Non-technical configuration
- Agentic Banking capability
- Customer data unification
- Card-linked offers
- Real-time insight delivery
Only in Paymentology
- Global issuer processing
- Real time transaction data
- Virtual and physical issuance
- Tokenisation
- Multi currency and multi product
- Card controls
- Programme management tools
- Fraud and risk integration
What people use each for
The jobs each tool is most often brought in to do.
Flybits
- A bank wanting to move from generic segment-based marketing to individually contextual offers and messagesnot Paymentology
- A product team wanting to configure personalisation rules without needing engineering support for every changenot Paymentology
- A bank wanting card-linked contextual offers tied to transaction datanot Paymentology
- A financial institution exploring an agentic AI interaction layer across cards, loans and depositsnot Paymentology
Paymentology
- A neobank launching cards in an African or South East Asian market where hosted United States processors have no certificationnot Flybits
- A mobile money operator adding a card product on top of an existing wallet basenot Flybits
- A bank consolidating several regional card processors onto one platformnot Flybits
- A fintech expanding an existing card programme into the Gulf without re platformingnot Flybits
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Flybits
- Its output quality depends entirely on the completeness and accuracy of the underlying bank data it is fed, so a bank with fragmented or poor-quality customer data gets correspondingly weak personalisation.
- The newer Agentic Banking capability is recent enough that long-term reliability, accuracy and customer trust data at scale are still limited compared with its longer-established contextual decisioning engine.
- Pricing is not published, requiring a licensing negotiation per institution.
- As with Meniga, it is a white-label layer rather than a consumer-facing brand, making independent reputation and reliability harder for a prospective bank client to verify directly.
- Expanding from a rules-based personalisation engine into agentic AI interaction is a significant scope and complexity increase, and a bank evaluating it today should confirm which capabilities are mature and in production versus newly launched.
Paymentology
- Paymentology processes but does not hold issuing licences, so every market still needs your own licence or a sponsor bank, which is usually the slowest and most expensive part of a launch.
- Fees include per active card charges and monthly minimums, so a portfolio with many dormant cards pays for plastic that generates no interchange.
- Certification, settlement and scheme relationships differ by country, so a multi market rollout is a series of separate projects rather than one integration.
- As a processor it sits between your product and the networks, meaning outages and scheme mandate changes reach your cardholders through a party you do not control.
- Documentation and developer self service are weaker than the United States hosted processors, so early integration depends heavily on Paymentology implementation staff.
Pricing, plan by plan
Flybits
On request- Flybits$undefined/year
- Pricing not published, licensed per financial institution deployment
Paymentology
On request- Paymentology processing$undefined/year
- Quoted per programme and per market
- Typically per transaction and per active card fees plus a monthly minimum
- Issuing licence or sponsor bank required in each market and not provided
Which should you pick?
Choose Flybits if
- You need contextual decisioning engine.
- You work on Web, iOS, Android.
- You also want non-technical configuration.
Choose Paymentology if
- You need global issuer processing.
- You work on Web, API.
- You also want real time transaction data.
Questions people ask
- Is Flybits or Paymentology better?
- Neither clearly leads. Flybits starts at On request and Paymentology at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Flybits or Paymentology?
- Flybits starts at On request and Paymentology at On request.
- Does Flybits or Paymentology run on more platforms?
- Flybits runs on Web, iOS, Android. Paymentology runs on Web, API.
- What is Flybits best used for?
- Flybits is most often used for a bank wanting to move from generic segment-based marketing to individually contextual offers and messages, a product team wanting to configure personalisation rules without needing engineering support for every change, a bank wanting card-linked contextual offers tied to transaction data, a financial institution exploring an agentic ai interaction layer across cards, loans and deposits. Of those, a bank wanting to move from generic segment-based marketing to individually contextual offers and messages and a product team wanting to configure personalisation rules without needing engineering support for every change are not what Paymentology is typically brought in for.
- What can Flybits do that Paymentology cannot?
- Flybits covers Contextual decisioning engine, Non-technical configuration, Agentic Banking capability, Customer data unification. Paymentology covers Global issuer processing, Real time transaction data, Virtual and physical issuance, Tokenisation.
Answered from the vendors’ own pages
Flybits: Does Flybits require engineering support to run campaigns?
No, it is designed so marketing and product teams can configure personalisation rules directly.
Paymentology: Does Paymentology provide the BIN and licence?
No. You need your own issuing licence or a sponsor bank in each market; Paymentology processes the transactions.
Flybits: What is Agentic Banking?
A newer Flybits capability introducing AI agents as an interaction layer unifying cards, loans and deposits into conversational banking experiences.
Paymentology: What is the actual pricing model?
Per transaction and per active card, with a monthly minimum. Dormant cards still cost, so model your activation rate.
Flybits: Is pricing published?
No, it is licensed per financial institution and requires a quote.
Paymentology: Why choose it over a United States issuer processor?
Network certification and live programmes in markets where those processors do not operate, which decides feasibility rather than preference.
Related pages
More on Paymentology
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