Compare Clarifai and V7 Darwin 
Featured Products
At a Glance
Market Segments
Small-Business (60.6% of reviews)
Small-Business (55.8% of reviews)
Entry-Level Pricing
Free 1000 operations
Free
Clarifai
Star Rating
(66)4.3 out of 5
Market Segments
Small-Business (60.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1000 operations
Browse all 4 pricing plansV7 Darwin
Star Rating
(54)4.8 out of 5
Market Segments
Small-Business (55.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansClarifai vs V7 Darwin
When assessing the two solutions, reviewers found V7 Darwin easier to use, set up, and administer. Reviewers also preferred doing business with V7 Darwin overall.
- Reviewers felt that V7 Darwin meets the needs of their business better than Clarifai.
- When comparing quality of ongoing product support, reviewers felt that V7 Darwin is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of V7 Darwin over Clarifai.
Pricing
Entry-Level Pricing
Clarifai
Clarifai Community
Free
1000 operations
We offer a free version of our platform for our community to discover, develop and share models, workflows, and datasets.
- Access to 100s of models from Clarifai, Facebook, Google, Hugging Face, Microsoft, Princeton NLP, Salesforce
- Easy UI with a “drag-n-drop” workflow graph editor
- Access to community shared workflows, datasets, and apps
V7 Darwin
Free Plan
Free
Try out the core functionalities and set up your workflow for free.
- 1 Workspace
- 10 User Licenses
- 3 Integrated Models
Free Trial
Clarifai
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
8.3
59
9.5
38
Ease of Use
8.2
59
9.5
38
Ease of Setup
7.8
36
9.5
17
Ease of Admin
8.8
20
9.4
15
Quality of Support
8.1
50
9.6
36
Has the product been a good partner in doing business?
8.5
18
9.9
14
Product Direction (% positive)
7.6
54
9.6
32
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.0
7
Not enough data
9.8
7
Deployment
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.2
6
Not enough data
9.8
7
Management
Not enough data
9.3
5
Not enough data
10.0
6
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
6
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
8.4
17
Not enough data
Model Development
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Not enough data
Model Development
8.8
15
Not enough data
Machine/Deep Learning Services
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Not enough data
Machine/Deep Learning Services
8.8
16
Not enough data
8.5
16
Not enough data
Deployment
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Not enough data
Generative AI
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality
8.3
13
9.4
21
8.7
13
9.5
24
8.9
12
9.4
21
8.1
12
9.3
22
Automation
7.9
12
9.4
16
7.8
12
9.4
14
Image Annotation
7.9
11
9.3
27
8.3
12
9.4
24
8.3
11
9.1
17
8.3
11
9.2
18
Natural Language Annotation
7.9
11
9.1
13
8.1
9
8.5
9
7.8
9
9.0
10
Speech Annotation
7.3
8
7.7
8
7.7
8
7.5
8
Recognition Type
8.3
12
Not enough data
9.1
15
Not enough data
8.7
14
Not enough data
7.6
12
Not enough data
8.1
12
Not enough data
7.8
13
Not enough data
8.2
11
Not enough data
7.9
13
Not enough data
Facial Recognition
8.5
13
Not enough data
7.8
12
Not enough data
Labeling
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Not enough data
Deployment
8.6
13
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Not enough data
Security and Compliance - Generative AI Infrastructure
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
7.9
20
Not enough data
Feature Not Available
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Usability - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Detection Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
AI Search & Retrieval Infrastructure PlatformsHide 17 FeaturesShow 17 Features
Not enough data
Not enough data
Retrieval intelligence - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Embedding & model management - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
LLM retrieval & RAG optimization - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Enrichment & Index Intelligence - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Security & governance - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations, observability & reliability - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Clarifai and V7 Darwin are categorized as Data Labeling
Reviews
Reviewers' Company Size
Clarifai
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
V7 Darwin
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
24.2%
Information Technology and Services
12.1%
Higher Education
9.1%
Education Management
4.5%
Health, Wellness and Fitness
3.0%
Other
47.0%
Information Technology and Services
25.0%
Computer Software
19.2%
Research
7.7%
Hospital & Health Care
5.8%
Biotechnology
3.8%
Other
38.5%
Discussions
Clarifai has no discussions with answers
V7 Darwin has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
