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AI · head to head

Gumloop vs Keras

Gumloop logo

Gumloop

AI

AI infrastructure platform for building and deploying autonomous agents

From
Free
Free plan
Yes
Full reviewWebsite
Keras logo

Keras

Machine Learning

Deep learning API for humans

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Gumloop pro plan at $37/month may be limiting for enterprises considering spending caps; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Gumloop covers No-code agent builder, Keras covers Sequential and Functional API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Gumloop and Keras actually diverge.

Attributes where Gumloop and Keras differ
AttributeGumloopKeras
Pricing modelTiered subscription with usage creditsopen-source
PlatformsWeb, Slack, Microsoft Teams, GmailPython, Google Colab, Jupyter
CategoryAIMachine Learning
FoundedUnknown2015

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 Gumloop

  • No-code agent builder
  • 300+ app integrations
  • Company Brain
  • Self-improving agents
  • Multi-channel deployment
  • Role-based access
  • Budget controls
  • Audit logging

Only in Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

What people use each for

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

Gumloop

  • CRM management and sales pipeline analysisnot Keras
  • Lead qualification and sales outreach automationnot Keras
  • Meeting preparation and call analysisnot Keras
  • Data analysis and automated reportingnot Keras
  • Content creation and knowledge base updatesnot Keras

Keras

  • Machine learningnot Gumloop
  • Data analysisnot Gumloop
  • Model trainingnot Gumloop
  • Predictive analyticsnot Gumloop

Where each one falls short

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

Gumloop

  • Pro plan at $37/month may be limiting for enterprises considering spending caps
  • Requires enterprise plan for advanced security controls needed by large organizations
  • No permanent free tier beyond 14-day trial
  • Company Brain integration depends on having all tools connected

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Pricing, plan by plan

Gumloop

Free
  • Free TrialFree
    • 14-day free trial of Pro plan
  • Enterprise$undefined/custom
    • Custom credit allocation
    • 35+ models plus custom proxy
    • Org-wide security controls

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Which should you pick?

Choose Gumloop if

  • You need no-code agent builder.
  • You want to start without paying.
  • You work on Web, Slack, Microsoft Teams, Gmail.
  • You also want 300+ app integrations.
Gumloop review

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Questions people ask

Is Gumloop or Keras better?
Neither clearly leads. Gumloop starts at Free and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Gumloop or Keras?
Gumloop starts at Free and Keras at Free.
Does Gumloop or Keras run on more platforms?
Gumloop runs on Web, Slack, Microsoft Teams, Gmail. Keras runs on Python, Google Colab, Jupyter.
Can I use Gumloop for free?
Both have a free tier, so you can try either at no cost before committing.
What is Gumloop best used for?
Gumloop is most often used for crm management and sales pipeline analysis, lead qualification and sales outreach automation, meeting preparation and call analysis, data analysis and automated reporting. Of those, crm management and sales pipeline analysis and lead qualification and sales outreach automation are not what Keras is typically brought in for.
What can Gumloop do that Keras cannot?
Gumloop covers No-code agent builder, 300+ app integrations, Company Brain, Self-improving agents. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.

Answered from the vendors’ own pages

Gumloop: Can non-technical users build agents with Gumloop?

Yes, Gumloop is designed for domain experts without programming skills. The no-code interface enables anyone who understands a task to automate it without coding.

Source
Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Gumloop: How many applications can Gumloop integrate with?

Gumloop integrates with 300+ business tools including Salesforce, HubSpot, Slack, Gmail, GitHub, Jira, and others. The Company Brain feature unifies data from all connected applications.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Gumloop: What security features does Enterprise include?

Enterprise plans offer SCIM and SAML support, SOC 2 Type II compliance, custom MCP server hosting, advanced admin features, audit logging, and VPC deployments for data isolation.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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