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Neo

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Overview

Neo supports ML engineering tasks such as experiments, evaluations and prompt optimization. The provider has announced permanent closure on October 30, 2026 at 11:59 PM PDT; billing has stopped and existing credits can be used until then.

Neo supports ML engineering tasks such as experiments, evaluations and prompt optimization. The provider has announced permanent closure on October 30, 2026 at 11:59 PM PDT; billing has stopped and existing credits can be used until then.

Neo can plan and run configured ML engineering experiments, write code and produce evaluations. People provide data and compute, review methodology and results and control production decisions. This does not imply independent continuous production operations. The service is scheduled to close on October 30, 2026.

Billing has stopped; remaining credits are temporary access rather than a sustainable new purchase.

Product overview

Capabilities, pricing and fit

Neo supports ML engineering tasks such as experiments, evaluations and prompt optimization. The provider has announced permanent closure on October 30, 2026 at 11:59 PM PDT; billing has stopped and existing credits can be used until then.

Information as of July 30, 2026

What it can do

  • Product role

    Neo supports ML engineering tasks such as experiments, evaluations and prompt optimization. The provider has announced permanent closure on October 30, 2026 at 11:59 PM PDT; billing has stopped and existing credits can be used until then.[1]

Where it fits best

  • Completing existing ML experiments before closure[1]

Pricing and availability

Billing has stopped; remaining credits are temporary access rather than a sustainable new purchase.[1]

Access: The announced imminent shutdown makes it unsuitable for a new long-term deployment.[1]

Sources (1)
  1. heyneo.com — product detailsOfficial site · checked 2026-10-18

Autonomy level

84/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Neo can plan and run configured ML engineering experiments, write code and produce evaluations. People provide data and compute, review methodology and results and control production decisions. This does not imply independent continuous production operations. The service is scheduled to close on October 30, 2026.

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Some of the use cases of Neo:

  • Completing existing ML experiments before closure

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Popularity level: 69%

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