Softwr

APIs · head to head

i2c vs Thought Machine

i2c logo

i2c

APIs

Configurable card issuing and banking processing platform for banks and programme managers

From
On request
Rated
-
Thought Machine logo

Thought Machine

Technology

Cloud native core banking where products are written as smart contracts

From
On request
Rated
-

The short version

  • Each has a real cost: i2c developer experience lags API-native competitors, and teams expecting Stripe-grade documentation and sandboxes find an enterprise integration project instead.; 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: i2c covers Configurable product engine, 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 i2c and Thought Machine actually diverge.

Attributes where i2c and Thought Machine differ
Attributei2cThought Machine
PlatformsWeb, REST APIWeb, 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 i2c

  • Configurable product engine
  • Credit and instalments
  • Multi-currency
  • Fraud and risk tooling
  • Digital banking front ends
  • Global scheme connectivity

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.

i2c

  • A bank wanting credit, debit and prepaid portfolios on one processor rather than threenot Thought Machine
  • An issuer in a market where local scheme and currency support rules out US-centric processorsnot Thought Machine
  • A programme manager launching instalment products without building a lending corenot Thought Machine
  • A credit union replacing an ageing processor without writing custom code for product rulesnot Thought Machine

Thought Machine

  • A large bank launching a separate digital brand on a clean core rather than migrating the back booknot i2c
  • A bank whose product launches are blocked by vendor change requests on a legacy corenot i2c
  • An institution needing real time balances and postings for instant payment obligationsnot i2c
  • A group consolidating multiple country cores onto one multi entity platformnot i2c

Where each one falls short

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

i2c

  • Developer experience lags API-native competitors, and teams expecting Stripe-grade documentation and sandboxes find an enterprise integration project instead.
  • Implementations lean on i2c or partner professional services, so timelines and costs are set by a services queue rather than by your own engineering speed.
  • Pricing is per active card and per transaction with monthly minimums, none of it published, so comparing bids requires modelling your own portfolio carefully.
  • Configuration flexibility means product behaviour lives in platform settings rather than in your repository, which complicates version control, testing and audit trails.
  • As a private company with a broad global footprint, regional support depth is uneven, and a programme in a smaller market may get thinner service than a flagship account.

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

i2c

On request
  • i2c processing platform$undefined/year
    • Per-active-card and per-transaction processing fees
    • Minimum monthly commitments by programme
    • Implementation and configuration professional services

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 i2c if

  • You need configurable product engine.
  • You work on Web, REST API.
  • You also want credit and instalments.

Choose Thought Machine if

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

Questions people ask

Is i2c or Thought Machine better?
Neither clearly leads. i2c 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, i2c or Thought Machine?
i2c starts at On request and Thought Machine at On request.
Does i2c or Thought Machine run on more platforms?
i2c runs on Web, REST API. Thought Machine runs on Web, API, Cloud.
What is i2c best used for?
i2c is most often used for a bank wanting credit, debit and prepaid portfolios on one processor rather than three, an issuer in a market where local scheme and currency support rules out us-centric processors, a programme manager launching instalment products without building a lending core, a credit union replacing an ageing processor without writing custom code for product rules. Of those, a bank wanting credit, debit and prepaid portfolios on one processor rather than three and an issuer in a market where local scheme and currency support rules out us-centric processors are not what Thought Machine is typically brought in for.
What can i2c do that Thought Machine cannot?
i2c covers Configurable product engine, Credit and instalments, Multi-currency, Fraud and risk tooling. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.

Answered from the vendors’ own pages

i2c: Does i2c issue the cards itself?

No. It processes; issuance sits with a bank or licensed issuer, and in most markets you need that relationship separately.

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.

i2c: Can it handle revolving credit?

Yes. Credit, instalments and buy-now-pay-later sit on the same platform as debit and prepaid, which is unusual among modern processors.

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.

i2c: Is it self-serve?

No. Expect a configuration-led implementation with professional services rather than signing up and calling an API.

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.

Share

Related pages

Other head to heads