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Inflection AI vs Seldon

Inflection AI logo

Inflection AI

AI

Personal AI for everyone

From
Free
Free plan
Yes
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes

The short version

  • Each has a real cost: Inflection AI inflection AIs consumer product Pi is distributed as a free app with no subscription tiers or in-app purchases named in its App Store listing; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Inflection AI covers Personal AI, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Inflection AI and Seldon actually diverge.

Attributes where Inflection AI and Seldon differ
AttributeInflection AISeldon
Pricing modelfreefreemium
PlatformsWeb, Ios, AndroidLinux
CategoryAIMachine Learning
Founded20222014

Identical on both: starting price (Free), free tier (Yes), 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 Inflection AI

  • Personal AI
  • Conversational interface
  • Voice interaction
  • Cross-platform
  • Pi app
  • Web interface
  • Web support
  • Ios support

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

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

Inflection AI

  • ai tools managementnot Seldon
  • Workflow automationnot Seldon
  • Reportingnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Inflection AI
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Inflection AI
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Inflection AI
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Inflection AI

Where each one falls short

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

Inflection AI

  • Inflection AIs consumer product Pi is distributed as a free app with no subscription tiers or in-app purchases named in its App Store listing

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Inflection AI

Free
  • FreeFree
    • Access to Pi
    • Unlimited usage

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Inflection AI if

  • You need personal ai.
  • You want to start without paying.
  • You work on Web, Ios, Android.
  • You also want conversational interface.

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.

Questions people ask

Is Inflection AI or Seldon better?
Neither clearly leads. Inflection AI starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Inflection AI or Seldon?
Inflection AI starts at Free and Seldon at Free.
Does Inflection AI or Seldon run on more platforms?
Inflection AI runs on Web, Ios, Android. Seldon runs on Linux.
Can I use Inflection AI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Inflection AI best used for?
Inflection AI is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Seldon is typically brought in for.
What can Inflection AI do that Seldon cannot?
Inflection AI covers Personal AI, Conversational interface, Voice interaction, Cross-platform. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Inflection AI: Is Inflection AI's Pi service free to use?

The website invites users to 'Try Pi' but does not disclose pricing details, whether there is a free tier, usage limits, or what happens after a trial period.

Source
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Inflection AI: Does Pi have a paid tier or premium features?

Pricing information is not published on Inflection's main website. Users must try the Pi platform or contact support to learn about premium options or costs.

Source
Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Inflection AI: What commercial terms apply to using Pi?

Inflection does not disclose subscription models, pricing tiers, commercial licenses, or terms of service on their homepage, directing questions to support channels.

Source
Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

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