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Discover DataKnobs, the AI platform to design, build, and manage data products. Drive business growth with speed, integration, and lifecycle support.


DataKnobs: The AI Data Product Factory

The AI Data Product Factory

DataKnobs provides a fully integrated ecosystem to rapidly design, build, test, and manage sophisticated AI-driven data products, turning complex data into tangible business value.

Our Integrated Ecosystem

We cover the entire data product lifecycle. Our interconnected tools ensure a seamless workflow from initial concept to full-scale deployment and monitoring, drastically reducing time-to-market.

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1. Kreate

Rapidly build AI-powered applications from foundational data signals.

Kreate Data Signal, KreateWebsites, KreateBots
🔬

2. Experiment

Optimize user experiences with data-driven A/B testing.

ABExperiment
🎛️

3. Control

Fine-tune AI models and application parameters in real-time.

Knobs
📊

4. Monitor

Ensure performance, governance, and compliance of your products.

Kontrols

Our Product Suite

Our suite is built around a core creation engine, supported by powerful horizontal platforms for control and governance that apply to every product you build.

🚀 Kreate

The engine for building data products. It all starts with turning raw data into signals, which can then be used to create intelligent websites and bots.

🎛️ Knobs

Horizontal Real-Time Control. A universal system that provides intuitive "knobs" to fine-tune the live behavior of any data product built on our platform, from bots to websites, without redeploying code.

📊 Kontrols

Horizontal Governance & Monitoring. A centralized plane that operates across all your data products, ensuring performance, health, and ethical compliance from a single dashboard.

Real-World Solutions

Our platform empowers businesses to build innovative solutions. We cater to a diverse range of customers, from startups to large enterprises, helping them leverage data for growth.

Automated E-commerce Support

Customer: Online Retailers

Solution: Using KreateBots, we built an AI assistant that handles 70% of customer queries, from order tracking to returns, freeing up human agents for complex issues.

Personalized Travel Planning

Customer: Travel Agencies

Solution: An AI Twin of an expert travel agent interacts with users via a site built with KreateWebsites to create custom itineraries based on preferences and budget.

Conversion Rate Optimization

Customer: SaaS Companies

Solution: Leveraging ABExperiment, a tech company tested three different pricing page layouts, identifying a winner that increased trial sign-ups by 18%.

Why We Are Leaders in Data Product Development

Our unique approach combines speed, integration, and full-lifecycle support, empowering teams to innovate faster and more reliably than ever before.

⚡️

Unmatched Speed

Go from idea to a fully functional AI data product in days, not months. Our high-level tools abstract away complexity.

🧩

Seamless Integration

Our products are designed to work together perfectly, eliminating the friction and cost of stitching together disparate solutions.

🔄

Full Lifecycle Coverage

We are the only platform that supports every stage: creation, testing, real-time control, and long-term governance.

Proven Industry Impact

Our platform delivers measurable efficiency gains across various domains. By automating complex processes and enabling rapid experimentation, we help businesses achieve significant performance improvements. Select an industry below to see its specific impact.

© 2025 DataKnobs Inc. All rights reserved.


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Dataknobs Blog

10 Use Cases Built

10 Use Cases Built By Dataknobs

Dataknobs has developed a wide range of products and solutions powered by Generative AI (GenAI), Agent AI, and traditional AI to address diverse industry needs. These solutions span finance, healthcare, real estate, e-commerce, and more. Click on to see in-depth look at these use cases - Stocks Earning Call Analysis, Ecommerce Analysis with GenAI, Financial Planner AI Assistant, Kreatebots, Kreate Websites, Kreate CMS, Travel Agent Website, Real Estate Agent etc.

AI Agent for Business Analysis

Analyze reports, dashboard and determine To-do

DataKnobs has built an AI Agent for structured data analysis that extracts meaningful insights from diverse datasets such as e-commerce metrics, sales/revenue reports, and sports scorecards. The agent ingests structured data from sources like CSV files, SQL databases, and APIs, automatically detecting schemas and relationships while standardizing formats. Using statistical analysis, anomaly detection, and AI-driven forecasting, it identifies trends, correlations, and outliers, providing insights such as sales fluctuations, revenue leaks, and performance metrics.

AI Agent Tutorial

Agent AI Tutorial

Here are slides and AI Agent Tutorial. Agentic AI refers to AI systems that can autonomously perceive, reason, and take actions to achieve specific goals without constant human intervention. These AI agents use techniques like reinforcement learning, planning, and memory to adapt and make decisions in dynamic environments. They are commonly used in automation, robotics, virtual assistants, and decision-making systems.

Build Dataproducts

How Dataknobs help in building data products

Building data products using Generative AI (GenAI) and Agentic AI enhances automation, intelligence, and adaptability in data-driven applications. GenAI can generate structured and unstructured data, automate content creation, enrich datasets, and synthesize insights from large volumes of information. This helps in scenarios such as automated report generation, anomaly detection, and predictive modeling.

KreateHub

Create New knowledge with Prompt library

At its core, KreateHub is designed to enable creation of new data and the generation of insights from existing datasets. It acts as a bridge between raw data and meaningful outcomes, providing the tools necessary for organizations to experiment, analyze, and optimize their data processes.

Build Budget Plan for GenAI

CIO Guide to create GenAI Budget for 2025

CIOs and CTOs can apply GenAI in IT Systems. The guide here describe scenarios and solutions for IT system, tech stack, GenAI cost and how to allocate budget. Once CIO and CTO can apply this to IT system, it can be extended for business use cases across company.

RAG For Unstructred and Structred Data

RAG Use Cases and Implementation

Here are several value propositions for Retrieval-Augmented Generation (RAG) across different contexts: Unstructred Data, Structred Data, Guardrails.

Why knobs matter

Knobs are levers using which you manage output

See Drivetrain appproach for building data product, AI product. It has 4 steps and levers are key to success. Knobs are abstract mechanism on input that you can control.

Our Products

KreateBots

Setup chatbots in minutes
  • Pre built front end that you can configure
  • Pre built Admin App to manage chatbot
  • Prompt management UI
  • Personalization app
  • Built in chat history
  • Feedback Loop
  • Available on - GCP,Azure,AWS.
  • Add RAG with using few lines of Code.
  • Add FAQ generation to chatbot

    • KreateWebsites

    LLM and AI based Website generation
  • AI powered websites to domainte search
  • Premium Hosting - Azure, GCP,AWS
  • AI web designer
  • Agent to generate website
  • SEO powered by LLM
  • Content management system for GenAI
  • Buy as Saas Application or managed services
  • Available on Azure Marketplace too.

    • Kreate CMS

    CMS GenAI
  • CMS for GenAI
  • Lineage for GenAI and Human created content
  • Track GenAI and Human Edited content
  • Trace pages that use content
  • Ability to delete GenAI content

    • Generate Slides

    Effortless slides creation
  • Give prompt to generate slides
  • Convert slides into webpages
  • Add SEO to slides webpages

    • Content Compass

    Your story writing is automated
  • Generate articles
  • Generate images
  • Generate related articles and images
  • Get suggestion what to write next