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APIs · head to head

Flybits vs Skyflow

Flybits logo

Flybits

APIs

Contextual personalisation and decisioning platform for financial institutions

From
On request
Rated
-
Full reviewWebsite
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

From
On request
Rated
-
Full reviewWebsite

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.; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: Flybits covers Contextual decisioning engine, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Flybits and Skyflow actually diverge.

Attributes where Flybits and Skyflow differ
AttributeFlybitsSkyflow
PlatformsWeb, iOS, AndroidAPI, Web, Self-hosted

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 Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

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 Skyflow
  • A product team wanting to configure personalisation rules without needing engineering support for every changenot Skyflow
  • A bank wanting card-linked contextual offers tied to transaction datanot Skyflow
  • A financial institution exploring an agentic AI interaction layer across cards, loans and depositsnot Skyflow

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot Flybits
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot Flybits
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot Flybits
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot 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.

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

Pricing, plan by plan

Flybits

On request
  • Flybits$undefined/year
    • Pricing not published, licensed per financial institution deployment

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

Which should you pick?

Choose Flybits if

  • You need contextual decisioning engine.
  • You work on Web, iOS, Android.
  • You also want non-technical configuration.
Flybits review

Choose Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.
Skyflow review

Questions people ask

Is Flybits or Skyflow better?
Neither clearly leads. Flybits starts at On request and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Flybits or Skyflow?
Flybits starts at On request and Skyflow at On request.
Does Flybits or Skyflow run on more platforms?
Flybits runs on Web, iOS, Android. Skyflow runs on API, Web, Self-hosted.
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 Skyflow is typically brought in for.
What can Flybits do that Skyflow cannot?
Flybits covers Contextual decisioning engine, Non-technical configuration, Agentic Banking capability, Customer data unification. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

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.

Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

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.

Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

Flybits: Is pricing published?

No, it is licensed per financial institution and requires a quote.

Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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