Dataknobs Products - Kreate Kontrols Knobs



Dataknobs - Kreate Kontrols Knobs

The Intelligent Trio

Dataknobs is built on a unified philosophy that integrates the entire data product lifecycle. This architecture, "The Intelligent Trio," provides a seamless flow from creation to governance and optimization, addressing the fragmentation common in AI development. Explore the three core pillars below by clicking on each card.

🚀

KREATE

The generative engine to build foundational data assets, from datasets to AI agents.

🛡️

KONTROLS

The governance backbone, embedding security, privacy, and compliance.

🎛️

KNOBS

The experimentation layer for system tuning and performance optimization.

KREATE: Create What Matters

The KREATE module is the generative core of the Dataknobs platform, providing a suite of tools designed to build the foundational assets of any data product. It empowers users to create everything from high-quality datasets and AI-powered websites to sophisticated conversational agents. This pillar embodies the "Data-Centric AI" philosophy by focusing on engineering high-quality, AI-ready assets as the primary driver of performance. It's the starting point of a virtuous cycle, where well-crafted assets are passed to the KONTROLS and KNOBS modules for governance and refinement.

The KREATE Product Suite

Within the KREATE pillar, Dataknobs offers a powerful suite of products designed to automate and accelerate the creation of data-driven assets. Each product targets a specific stage of the creation process, from engineering data to building AI agents. Use the tabs below to explore each product's capabilities.

KreateDatasets: Engineering High-Quality Data

Positioned as the cornerstone of the platform's "Data-Centric AI" philosophy, KreateDatasets is an engineering environment for manufacturing high-quality data assets. It uses advanced techniques like Active Learning, Generative Models, and Weak Supervision to create and curate data. A key capability is synthetic data generation, which is crucial for scenarios where real-world data is scarce, sensitive, or imbalanced, effectively solving the "cold start problem" for many AI projects.

The KONTROLS Governance Framework

The KONTROLS module provides the critical governance layer for enterprise AI. Its value is in providing a trust and safety framework that is essential for regulated industries. This section breaks down the multi-layered approach Dataknobs takes to ensure AI is developed and deployed responsibly.

Data-Centric Kontrols

Ensures data quality and security through lineage tracking, pre-processing pipelines, and privacy measures like data masking and anonymization.

Model-Centric Kontrols

Provides oversight of the ML model lifecycle, including bias detection, performance monitoring, and version management for rollbacks.

Output-Centric Kontrols

Focuses on the results generated by AI, implementing user feedback loops and automated ethics and compliance checks on model outputs.

Infrastructure-Centric Kontrols

Secures and optimizes the underlying environment with auto-scaling, cost monitoring, disaster recovery, and end-to-end encryption.

Governance-Centric Kontrols

Manages overarching policy with detailed audit trails, comprehensive documentation, and strict Role-Based Access Control (RBAC).

Business & User-Centric Kontrols

Bridges the gap to business value by tracking ROI and ensuring AI products are aligned with user needs and enhance satisfaction.

Market Positioning & Competition

Dataknobs competes not as a single product but as an integrated platform. Its key differentiator is the unified, governed lifecycle it offers, which point solutions cannot match. This chart visualizes the competitive landscape for its primary KREATE products. Use the buttons to switch between categories.

Expert Assessment: SWOT Analysis

The Dataknobs platform has a promising strategic outlook, especially for enterprises seeking governed AI solutions. However, it also faces significant challenges. This SWOT analysis summarizes the platform's key strengths, weaknesses, opportunities, and threats.

Strengths

  • Unified K-K-K lifecycle vision
  • Founder's enterprise credibility
  • Technical flexibility (multi-cloud, on-prem)
  • Comprehensive governance framework

Weaknesses

  • Limited market awareness and traction
  • Ambiguity in KONTROLS UI/product
  • Lack of transparent platform pricing
  • Absence of public customer reviews

Opportunities

  • Rise of the CDO and AI governance mandate
  • Second wave of enterprise GenAI adoption
  • "Data-as-a-Product" strategic trend

Threats

  • Competition from hyperscale cloud platforms
  • Market preference for "best-of-breed" tools
  • Explosive pace of AI innovation



1-Dataknobs-Products    2-Dataknobs-Products    3-Dataknobs-Products    4-Dataknobs-Products    5-Dataknobs-Products    Ai-powered-data-products-for-    Capabilities    Co-pilot-for-data-products    Dataknobs-capabilities    Dataknobs-for-data-products   

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

  • 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

  • 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 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

  • Give prompt to generate slides
  • Convert slides into webpages
  • Add SEO to slides webpages
  • Content Compass

  • Generate articles
  • Generate images
  • Generate related articles and images
  • Get suggestion what to write next