G2 Vendor Directory

Infosys Nia

by Infosys

12

Reviews

4.3

Star rating

#43

Rank in Data Science and Machine Learning Platforms

Pros and cons

Pros

    Cons

      Traffic & LLM citations

      Monthly G2.com page views and citations by AI answer engines for Infosys Nia.

      Page views and citations · Infosys Nia

      Source: G2 review data

      Winning from

      Based on reviewers who said they switched from another product.

      1

      Snowflake

      1 switched

      Losing to

      Based on reviewers of other products who said they switched from Infosys Nia.

      1

      ORM Technologies

      1 switched
      2

      Level Access Accessibility Platform

      1 switched
      3

      Vantage Circle

      1 switched
      4

      Genpact Advisory Services

      1 switched
      5

      Oracle Banking Digital Experience

      1 switched

      Key stats

      —

      50

      Enterprise

      1

      Adoption by company size

      SegmentShare of reviews
      Small Business25.0%
      Mid-Market25.0%
      Enterprise50.0%

      Quarterly history

      QuarterReviewsStar rating

      Satisfaction ratings

      Ease of Use8.6
      Ease of Setup8.1
      Quality of Support8.8
      Meets Requirements9.3

      What reviewers say

      True Feed back of Nia from Infosys

      5.0

      “Infy Nia has a library of pre-built machine learning models that can be used for various use cases. It can understand human language, can also sentiment analysis using various data source”

      Product Consultant

      Pre-built connectors are time-saver

      4.5

      “They let me easily sync Nia with every other data source we have, including our marketing automation software and CRMs. This made it easier to gain as comprehensive a vantage point as possible when selecting data about our business.”

      Project Support Officer

      Infosys Nia user review

      3.5

      “I find most impressive about Infosys Nia is its comprehensive approach to AI, incorporating wide range of capabilities like natural language processing, machine learning, and predictive analytics. This allows to address business needs across my works effectively.”

      Manager of operations