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APIs · head to head

10x Banking vs Thought Machine

10x Banking logo

10x Banking

APIs

Cloud-native core banking platform built for large incumbent bank migrations

From
On request
Rated
-
Full reviewWebsite
Thought Machine logo

Thought Machine

Technology

Cloud native core banking where products are written as smart contracts

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 10x Banking engagements are multi-year core replacement programmes with costs dominated by migration and integration, so the licence is a minority of what you actually spend.; Thought Machine a core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
  • They diverge on capability: 10x Banking covers SuperCore ledger, Thought Machine covers Smart contract product engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which 10x Banking and Thought Machine actually diverge.

Attributes where 10x Banking and Thought Machine differ
Attribute10x BankingThought Machine
PlatformsWeb, REST API, LinuxWeb, API, Cloud
CategoryAPIsTechnology

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated).

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 10x Banking

  • SuperCore ledger
  • Product configuration
  • Event streaming
  • Migration tooling
  • Payments orchestration
  • Cloud deployment

Only in Thought Machine

  • Smart contract product engine
  • Cloud native architecture
  • Real time ledger
  • Vault Payments
  • API first design
  • Multi entity and multi currency
  • Product versioning and testing
  • Configurable posting rules

What people use each for

The jobs each tool is most often brought in to do.

10x Banking

  • A tier-one bank replacing a mainframe core over several years while keeping it running in parallelnot Thought Machine
  • A bank launching a separate digital brand on a modern core before migrating the main booknot Thought Machine
  • An institution whose regulator demands real-time transaction data its legacy core cannot producenot Thought Machine
  • A bank whose product launch cycle is limited by core release schedules rather than by demandnot Thought Machine

Thought Machine

  • A large bank launching a separate digital brand on a clean core rather than migrating the back booknot 10x Banking
  • A bank whose product launches are blocked by vendor change requests on a legacy corenot 10x Banking
  • An institution needing real time balances and postings for instant payment obligationsnot 10x Banking
  • A group consolidating multiple country cores onto one multi entity platformnot 10x Banking

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

10x Banking

  • Engagements are multi-year core replacement programmes with costs dominated by migration and integration, so the licence is a minority of what you actually spend.
  • The customer list is small and concentrated in large institutions, which makes reference checking and benchmarking difficult before committing.
  • It is a smaller vendor than Temenos or Finastra carrying a systemically important workload, and bank procurement teams treat that concentration as a genuine risk.
  • Product configuration replaces code but shifts complexity into configuration governance, which banks must staff and control just as carefully as software releases.
  • Value only appears after migration, so a programme cancelled or paused mid-transition leaves the bank running two cores and paying for both.

Thought Machine

  • A core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
  • The smart contract model presumes a bank can write and maintain Python financial products, and institutions without that engineering capability end up outsourcing the very flexibility they bought.
  • Cloud infrastructure cost sits with the bank and is not trivial at scale, so total cost of ownership comparisons against a hosted legacy core often miss a large recurring line.
  • Thought Machine has made two rounds of job cuts pursuing profitability, which is a legitimate supplier stability concern for a system a bank expects to run for fifteen years.
  • The functional footprint is core ledger and product engine, so origination, collections, regulatory reporting and channels all come from other vendors, and the integration estate around Vault is the bank's problem to design and own.

Pricing, plan by plan

10x Banking

On request
  • SuperCore$undefined/year
    • Multi-year enterprise licence, quoted
    • Scaling by accounts, transaction volume and product lines
    • Substantial implementation and migration programme costs

Thought Machine

On request
  • Vault Core$undefined/year
    • Quoted per institution, typically on account volumes or annual contract value
    • Implementation and system integrator costs commonly exceed the licence fee
    • Cloud infrastructure costs are the bank's and are not included

Which should you pick?

Choose 10x Banking if

  • You need supercore ledger.
  • You work on Web, REST API, Linux.
  • You also want product configuration.
10x Banking review

Choose Thought Machine if

  • You need smart contract product engine.
  • You work on Web, API, Cloud.
  • You also want cloud native architecture.
Thought Machine review

Questions people ask

Is 10x Banking or Thought Machine better?
Neither clearly leads. 10x Banking starts at On request and Thought Machine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, 10x Banking or Thought Machine?
10x Banking starts at On request and Thought Machine at On request.
Does 10x Banking or Thought Machine run on more platforms?
10x Banking runs on Web, REST API, Linux. Thought Machine runs on Web, API, Cloud.
What is 10x Banking best used for?
10x Banking is most often used for a tier-one bank replacing a mainframe core over several years while keeping it running in parallel, a bank launching a separate digital brand on a modern core before migrating the main book, an institution whose regulator demands real-time transaction data its legacy core cannot produce, a bank whose product launch cycle is limited by core release schedules rather than by demand. Of those, a tier-one bank replacing a mainframe core over several years while keeping it running in parallel and a bank launching a separate digital brand on a modern core before migrating the main book are not what Thought Machine is typically brought in for.
What can 10x Banking do that Thought Machine cannot?
10x Banking covers SuperCore ledger, Product configuration, Event streaming, Migration tooling. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.

Answered from the vendors’ own pages

10x Banking: Who is 10x Banking for?

Large incumbent banks running core replacement, not challengers or fintechs looking for a quick launch.

Thought Machine: Is Vault Core genuinely cloud native?

Yes. It is containerised, runs on Kubernetes on public cloud, and posts in real time rather than in overnight batch.

10x Banking: How long does implementation take?

Years rather than months. Migration design and coexistence with the legacy core dominate the timeline.

Thought Machine: How long does a migration take?

Eighteen months at the absolute fastest for a narrow greenfield launch; two to four years for a phased migration at an established bank.

10x Banking: Is pricing published?

No. It is a quoted multi-year enterprise licence scaled by accounts, transaction volume and product lines.

Thought Machine: Does the licence fee represent the total cost?

No. Implementation, system integration, parallel running and cloud infrastructure typically cost more than the licence over the programme.

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