APIs · head to head
Episode Six vs Thought Machine

Episode Six
APIs
Payment processing and ledger platform deployable on premise or in your own cloud
- From
- On request
- Rated
- -

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: Episode Six deployment on premise or in a private tenancy means the institution carries infrastructure, upgrade and PCI scope work that a hosted processor would absorb.; 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: Episode Six covers Tritium API platform, 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 Episode Six and Thought Machine actually diverge.
| Attribute | Episode Six | Thought Machine |
|---|---|---|
| Platforms | Web, API, On-premise | Web, API, Cloud |
| Category | APIs | Technology |
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 Episode Six
- Tritium API platform
- Flexible deployment
- Multi product issuing
- Digital wallets
- Multi currency ledger
- Network connectivity
- Configurable product engine
- Institutional controls
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.
Episode Six
- A bank in a jurisdiction with data residency rules that forbid processing customer data in a shared multi tenant cloudnot Thought Machine
- A large institution replacing a legacy card processor without moving off its own infrastructurenot Thought Machine
- A telco or airline launching a branded wallet and card product at national scalenot Thought Machine
- A bank running prepaid, debit and credit products that wants them on one ledger rather than three processorsnot Thought Machine
Thought Machine
- A large bank launching a separate digital brand on a clean core rather than migrating the back booknot Episode Six
- A bank whose product launches are blocked by vendor change requests on a legacy corenot Episode Six
- An institution needing real time balances and postings for instant payment obligationsnot Episode Six
- A group consolidating multiple country cores onto one multi entity platformnot Episode Six
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Episode Six
- Deployment on premise or in a private tenancy means the institution carries infrastructure, upgrade and PCI scope work that a hosted processor would absorb.
- Implementation runs to quarters and involves core banking, network certification and fraud system integration, so time to first card is far longer than with a self serve issuer processor.
- Pricing is entirely bespoke and weighted to large programmes, which prices out fintechs and small issuers who would be better served by a hosted platform.
- Being smaller than the incumbent processors, its network certifications and operational presence vary by region, so a global rollout can find gaps in specific markets.
- The flexibility of six hundred APIs and a configurable product engine shifts design responsibility onto the buyer, and institutions without strong internal payments architects end up dependent on professional services.
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
Episode Six
On request- Tritium platform$undefined/year
- Licence and implementation quoted per institution
- Deployment model affects cost materially: on premise, private cloud or hosted
- Processing fees typically per transaction or per active card
Thought Machine
On request- Vault Core$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 Episode Six if
- You need tritium api platform.
- You work on Web, API, On-premise.
- You also want flexible deployment.
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 Episode Six or Thought Machine better?
- Neither clearly leads. Episode Six 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, Episode Six or Thought Machine?
- Episode Six starts at On request and Thought Machine at On request.
- Does Episode Six or Thought Machine run on more platforms?
- Episode Six runs on Web, API, On-premise. Thought Machine runs on Web, API, Cloud.
- What is Episode Six best used for?
- Episode Six is most often used for a bank in a jurisdiction with data residency rules that forbid processing customer data in a shared multi tenant cloud, a large institution replacing a legacy card processor without moving off its own infrastructure, a telco or airline launching a branded wallet and card product at national scale, a bank running prepaid, debit and credit products that wants them on one ledger rather than three processors. Of those, a bank in a jurisdiction with data residency rules that forbid processing customer data in a shared multi tenant cloud and a large institution replacing a legacy card processor without moving off its own infrastructure are not what Thought Machine is typically brought in for.
- What can Episode Six do that Thought Machine cannot?
- Episode Six covers Tritium API platform, Flexible deployment, Multi product issuing, Digital wallets. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.
Answered from the vendors’ own pages
Episode Six: Can Episode Six run inside our own data centre?
Yes. On premise and private cloud deployment is the main reason banks choose it over hosted only processors.
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.
Episode Six: Is it suitable for a startup issuing its first cards?
Not really. The licence, implementation timeline and cost are aimed at banks and large institutions.
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.
Episode Six: Do we still need a card licence or sponsor?
Yes. Episode Six is a processor. Network membership, licensing or a sponsor arrangement remains your responsibility.
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.
Related pages
More on Episode Six
More on Thought Machine
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