Dataknobs: AI Suite for Data Product Management

Discover Dataknobs' AI suite to KREATE, KONTROL, and optimize data products. Transform raw data into intelligent applications with speed and precision.


Dataknobs: The Intelligent AI Suite

The AI Suite for Data Product Lifecycle Management

An integrated platform to KREATE, KONTROL, and optimize your data products. Transform raw data into actionable insights and intelligent applications with confidence and speed.

The Intelligent Trio

Dataknobs' suite is a complete "drive train" for building impactful data products, balancing creativity, governance, and experimentation.

KREATE: Create What Matters

This component is the engine of innovation, focused on fostering creativity and enabling the generation of new data and intelligent creations. It empowers users to transform raw data, websites, and bots into valuable assets, democratizing the creation process for all skill levels.

KONTROLS: Focus on Guardrails

KONTROLS establishes the essential guardrails for responsible AI. It is dedicated to ensuring data lineage, maintaining compliance with regulations, and upholding the highest standards of privacy and security, providing a foundation of trust for all data products.

KNOBS: Enable Experimentation

KNOBS provides the diagnostic and experimentation capabilities needed for continuous improvement. It allows for iterative refinement and optimization of data products through A/B testing, simulation, and the tuning of "abstract levers" to perfect performance.

KREATE: Powering Intelligent Creations

From datasets to full-fledged websites and AI assistants, KREATE provides the tools to build comprehensive data products with ease and speed.

Data Products & Datasets

Combine diverse datasets into rich "data bars" and curate meticulously crafted datasets to fuel AI models using active learning and generative models.

Kreate Websites

Utilize LLMs and AI agents to generate complete websites, complete with AI-powered SEO and premium hosting options.

Kreate Bots (AI Assistants)

Rapidly build and deploy intelligent chatbots and agents with pre-built front ends, RAG integration, and prompt management.

Kreate CMS for GenAI

A specialized Content Management System to manage both human and GenAI-created content with lineage tracking and governance.

Generate Slides

Effortlessly create presentation slides from simple prompts and convert them into SEO-enhanced webpages.

Content Compass

Automate your content workflow by generating articles, creating accompanying images, and suggesting related content.

KONTROLS: A Holistic Governance Framework

KONTROLS provides a multi-layered approach to AI governance, ensuring security, compliance, and ethical deployment across the entire product lifecycle.

Multi-Layered Protection

Our framework moves beyond a simple checklist to provide comprehensive oversight. From the data itself to the infrastructure it runs on, every layer is secured and monitored. Hover over the chart to see the different control dimensions.

  • ✓Data & Model Centric: Ensures data quality, lineage, bias detection, and versioning.
  • ✓Output & Infrastructure Centric: Validates AI outputs and secures the underlying environment.
  • ✓Governance & Business Centric: Manages policies, audit trails, and aligns with business ROI.

KNOBS: Diagnose and Experiment

The optimization layer that democratizes system tuning, allowing users to perfect data products through systematic testing and virtual simulation.

A/B Experimentation Platform

Seamlessly integrated for versatile testing. Optimize websites, compare LLMs, test vector databases, and fine-tune retrieval strategies to find what works best. Predictive models can even suggest variations likely to succeed.

AI Twin for Virtual Optimization

A digital mirror of your physical IoT assets. Use virtual "knobs" to test production tweaks in a safe environment before real-world deployment. This mitigates risk and accelerates innovation in predictive maintenance and asset optimization.

Synergy in Action: The "Drive Train" Approach

KREATE, KONTROLS, and KNOBS work in a continuous feedback loop, powering a systematic process for building data products that deliver actionable results.

1

Define Goal & Controllable Levers

Clearly articulate the desired outcome and identify the "knobs" or parameters that can be manipulated to influence it.

2

Collect Data & Build Model

Gather necessary data and develop a model that reflects how the levers affect the outcome.

3

Process, Deploy & Monitor

Clean and process data, deploy the model into production, and continuously monitor its performance and accuracy.

4

Optimize with "What If" Scenarios

Use simulators to ask "What If" questions, feeding results into an optimizer to find the best solutions and avoid negative outcomes.

Real-World Applications

From finance to manufacturing, Dataknobs provides flexible, powerful solutions across a wide spectrum of industries.

Financial Analysis

GenAI-powered earnings call analysis and AI financial planner assistants.

E-commerce & BI

AI agents for structured data analysis to identify trends, correlations, and revenue leaks.

Content Generation

Automated creation of websites, chatbots, articles, and presentations.

Industrial & IoT

Predictive maintenance, anomaly detection, and asset optimization with AI Twin.


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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