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Technology · head to head

Greenhouse vs Thought Machine

Greenhouse logo

Greenhouse

Technology

Hiring software for growing companies

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: Greenhouse core plan lacks talent discovery and contact lookups; 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: Greenhouse covers Applicant tracking, 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 Greenhouse and Thought Machine actually diverge.

Attributes where Greenhouse and Thought Machine differ
AttributeGreenhouseThought Machine
PlatformsWeb, Ios, Android, ApiWeb, API, Cloud
Founded2012Unknown

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

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 Greenhouse

  • Applicant tracking
  • Interview scheduling
  • Scorecard system
  • Job board posting
  • Candidate CRM
  • Reporting & analytics
  • Offer management
  • EEO compliance

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.

Greenhouse

  • Enterprise hiring and recruiting automationnot Thought Machine
  • Multi-location and multi-team talent acquisitionnot Thought Machine
  • Structured interview process managementnot Thought Machine

Thought Machine

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

Where each one falls short

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

Greenhouse

  • Core plan lacks talent discovery and contact lookups
  • Core plan lacks email automation and applicant texting
  • Plus plan lacks resume anonymisation and application limits
  • Plus plan lacks audit logging and developer tools
  • Pricing customised by hiring volume and company size, not published
  • Only Pro tier offers audit logs and developer sandbox

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

Greenhouse

On request

No published plan breakdown. See the Greenhouse review.

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 Greenhouse if

  • You need applicant tracking.
  • You work on Web, Ios, Android, Api.
  • You also want interview scheduling.
Greenhouse 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 Greenhouse or Thought Machine better?
Neither clearly leads. Greenhouse 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, Greenhouse or Thought Machine?
Greenhouse starts at On request and Thought Machine at On request.
Does Greenhouse or Thought Machine run on more platforms?
Greenhouse runs on Web, Ios, Android, Api. Thought Machine runs on Web, API, Cloud.
What is Greenhouse best used for?
Greenhouse is most often used for enterprise hiring and recruiting automation, multi-location and multi-team talent acquisition, structured interview process management. Of those, enterprise hiring and recruiting automation and multi-location and multi-team talent acquisition are not what Thought Machine is typically brought in for.
What can Greenhouse do that Thought Machine cannot?
Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.

Answered from the vendors’ own pages

Greenhouse: How much does Greenhouse cost?

Greenhouse does not publish specific pricing. The company states that pricing is customized based on your hiring needs, hiring volume, organizational complexity, and required features.

Source
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.

Greenhouse: What are the Greenhouse pricing tiers?

Greenhouse offers three plan levels: Core (basic hiring structure), Plus (multi-location optimization), and Pro (complex enterprise hiring). Exact pricing requires contacting Greenhouse for a custom quote.

Source
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.

Greenhouse: Do all Greenhouse tiers include the same features?

No. Core includes sourcing and scheduling, Plus adds automation and texting, and Pro adds enterprise data configuration and audit logs. All tiers can be customized.

Source
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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