Software Alternatives, Accelerators & Startups

Dataiku VS Sightify

Compare Dataiku VS Sightify and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Sightify logo Sightify

Redefine Business Potential with AI.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Sightify Conversation Interface
    Conversation Interface //
    2025-08-27
  • Sightify Agents Dashboard
    Agents Dashboard //
    2025-08-27
  • Sightify Backend Statistics
    Backend Statistics //
    2025-08-27

Sightify | AI Agents is an LLM AI software application intended to automate SME workflows while ensuring data sovereignty.

Some features include:

Data-Sovereign Agents: Fine-tuned w/ RAG on open-source LLMs for specific business process optimization No AI Hallucinations: Source, page, and section citations for database-enforced tokens Multimodal: PDF, Excel, Word, TXT, PNG/JPEG, etc. CRM/ERP System Integration: API documentation, MCP compliant, R&D integration/support Updatable LLMs: Constant New Version Implementations (Qwen 70B, Gemma 27B)

Our current AI Agents are:

Knowledge Assistant: Generates RAG-powered responses referencing the ERP/CRM database for client relationship management, HR/company regulations search, marketing/email suggestions, etc. Contract Finalizer: Finalize legal contracts that are sent to or received from clients/partners by referencing past finalized contracts, government regulations/policies, and the ERP/CRM database. Report Generator: Instant generate monthly/annual sales/marketing/buget reports based on report templates and the ERP/CRM database Market Researcher: Analyze and compare competitor pricing, products, marketing, etc with Internet and ERP/CRM database reference Meeting Notetaker: Immediately generate meeting notes after recording/uploading meeting audio, use LLM reasoning to create action items, draft emails, etc.

Our AI software deployment is flexible:

On-Premise: Sightify has several OEM / SI partnerships across the world that help deploy Sightify | AI Agents on-premise globally. While Sightify stills provides L3 support, the OEM / SI combine to provide L1/L2 support.

Private Cloud: Sightify has multiple GPU compute provider partnerships across the world that help provide compliant infrastructure for deploying Sightify | AI Agents. Sightify provides L2/L3 support and the GPU compute provider provides L1/L2 support.

Dataiku

$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999

Sightify

Pricing URL
-
$ Details
freemium $1.0 / Annually ($300 /Agent/Year )
Platforms
Salesforce Oracle
Release Date
2025 January
Startup details
Country
Taiwan
City
Taipei
Founder(s)
Jimmy Sun
Employees
10 - 19

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Sightify features and specs

  • Data Sovereignty
    Maintain complete control over your sensitive data by using open-source LLM-based Agents deployed on-premise or on the private cloud, ensuring compliance and minimizing exposure to third-party risks.
  • Seamless Integration
    Easily connect with your existing tools, software, and workflows, allowing AI agents to fit naturally into your current operations without disruption.
  • Scalable System
    Begin with a small deployment tailored to your needs, and effortlessly scale as your business grows or your workflow requirements increase.
  • Rapid Deployment
    Get up and running quickly without needing an internal AI or MLOps team, reducing setup time and accelerating time-to-value.โ€จ

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Sightify videos

No Sightify videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Dataiku and Sightify)
Data Science And Machine Learning
Data Automation
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Extraction
0 0%
100% 100

Questions and Answers

As answered by people managing Dataiku and Sightify.

What makes your product unique?

Sightify's answer:

Data Sovereignty Many AI B2B SaaS today build their agents on ChatGPT or Claude models. Thus, each time enterprises use that SaaS AI, their data is exposed to these hyperscalers. AI Agents is built and fine-tuned on open-source LLMs. This means that enterprises using AI Agents are using their own proprietary model, preventing any other companies from accessing or using their data for training.

Easy-to-Use Sightifyโ€™s target client base are SMEs. These SMEs typically will not have an AI team, and so our platform is designed to be extremely easy-to-use, with no technical training required.

Switchable LLMs Since new and better open-source LLMs are being released every year, Sightify provides a platform function to switch base models for each specific Agent. That way, Agent performance is always optimized and equipped with the newest AI features.

Full, Flexible Deployment AI Agents can be deployed in any way -- according to clientโ€™s needs. Whether on-premise, on the private cloud (through 3rd-party infrastructure providers), or on the public cloud (Sightifyโ€™s own cloud infrastructure).

Which are the primary technologies used for building your product?

Sightify's answer:

Our AI Agents are fine-tuned on open-source LLMs, most recently Gemma 3. This guarantees that our Agents are enterprise-proprietarty and data-sovereign, giving our clients full control over their data.

How would you describe your primary audience?

Sightify's answer:

Small-to-Medium enterprises in data-sensitive industries: finance, telecom, legal, healthcare, laboratory sciences, etc.

User comments

Share your experience with using Dataiku and Sightify. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and Sightify

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Sightify Reviews

We have no reviews of Sightify yet.
Be the first one to post

What are some alternatives?

When comparing Dataiku and Sightify, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

MindsDB - We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.

OpenCV - OpenCV is the world's biggest computer vision library

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

NumPy - NumPy is the fundamental package for scientific computing with Python

BaseTen - The fastest way to build ML-powered applications