Dataknobs Partnership With Hyperscalers



DataKnobs: Driving Innovation Through Strategic Partnerships with GCP, Azure, AWS, Nvidia, and Databricks

In today’s dynamic tech landscape, partnerships play a pivotal role in driving innovation and expanding access to cutting-edge technologies. DataKnobs, a leader in AI-driven solutions, has established strategic alliances with industry giants like Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS), Nvidia, and Databricks. These partnerships enhance DataKnobs’ ability to empower businesses with innovative tools for building, experimenting, and deploying AI and data products.

Google Cloud Platform: A Marketplace Powerhouse

DataKnobs has made a significant impact on GCP, with its flagship products now available on the GCP Marketplace:

  1. KreateWebsites: A revolutionary tool for building high-performance websites using AI, enabling businesses to achieve superior SEO results effortlessly.
  2. KreateBots: A no-code platform that allows businesses to create advanced AI chatbots and assistants.
  3. Kreate Knowledge: A solution for organizing and retrieving enterprise knowledge efficiently using AI.
  4. AI Twin: A digital twin platform that simulates real-world processes and systems for predictive analysis.
  5. AB Experiment: A robust platform for A/B testing and experimentation with data-driven insights.

By leveraging GCP’s robust infrastructure, DataKnobs delivers scalable, reliable, and efficient solutions to its users.

Microsoft Azure Marketplace: Expanding Horizons

The collaboration between DataKnobs and Azure has resulted in the availability of five innovative products on the Azure Marketplace:

  1. Kreate Knowledge: A solution that streamlines knowledge management through AI-driven insights.
  2. KreateWebsites: A cutting-edge platform for creating high-performance websites optimized for search engines.
  3. KreateBots: A tool that empowers businesses to build intelligent, no-code chatbots and assistants.
  4. AB Experiment: A platform designed for comprehensive A/B testing and experimentation.
  5. AI Twin: A digital twin solution that models and simulates real-world processes for predictive and prescriptive analytics.

These tools enable businesses to harness AI capabilities, streamline operations, and accelerate digital transformation. With Azure’s global reach and enterprise-ready infrastructure, DataKnobs’ products provide seamless integration and scalability for diverse industries.

AWS Compatibility: A Seamless Fit

DataKnobs products are fully compatible with AWS, ensuring businesses can leverage the cloud giant’s capabilities. This compatibility provides users with flexibility and accessibility, making it easier to adopt DataKnobs solutions alongside their existing AWS infrastructure.

Nvidia Inception Program: Pioneering AI Excellence

DataKnobs is proud to be a member of Nvidia’s Inception Program, an exclusive initiative designed to nurture startups leveraging AI. This partnership provides access to Nvidia’s cutting-edge GPU technology and resources, enabling DataKnobs to push the boundaries of AI innovation, especially in computationally intensive applications like predictive maintenance and AI twins.

Databricks Marketplace: The Data-Driven Edge

DataKnobs’ focus on data experimentation and predictive analytics is highlighted by its offerings on the Databricks Marketplace:

  1. AB Experiment: A platform for designing, managing, and analyzing A/B tests at scale, leveraging Databricks’ robust data processing capabilities.
  2. Predictive Maintenance: An AI-driven solution designed to predict equipment failures and optimize maintenance schedules, maximizing operational efficiency.

By combining the power of Databricks with DataKnobs’ expertise, businesses can unlock deeper insights and achieve data-driven decision-making.

Transforming Industries Through Collaboration

DataKnobs’ partnerships with GCP, Azure, AWS, Nvidia, and Databricks underscore its commitment to delivering cutting-edge solutions that empower businesses to thrive in an AI-driven world. Whether it’s building user-friendly websites, creating intelligent chatbots, or enabling predictive maintenance, DataKnobs continues to redefine possibilities through strategic collaboration.

For businesses looking to harness the power of AI and data, DataKnobs provides the tools and platforms needed to stay ahead of the curve, all while leveraging the infrastructure of industry-leading partners.






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 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.

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.

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.

What is KREATE and KreatePro

Kreate - Bring your Ideas to Life

KREATE empowers you to create things - Dataset, Articles, Presentations, Proposals, Web design, Websites and AI Assistants Kreate is a platform inclide set of tools that ignite your creatviity and revolutionize the way you work. KReatePro is enterprise version.

What is KONTROLS

KONTROLS - apply creatvity with responsbility

KONTROLS enable adding guardrails, lineage, audit trails and governance. KOntrols recogizes that different use cases for Gen AI and AI have varying levels of control requirements. Kontrols provide structure to select right controls.

What is KNOBS

KNOBS - Experimentation and Diagnostics

Well defined tunable paramters for LLM API, LLM fine tuning , Vector DB. These parameters enable faster experimentation and diagosis for every state of GenAI development - chunking, embedding, upsert into vector DB, retrievel, generation and creating responses for AI Asistant.

Kreate Articles

Create Articles and Blogs

Create articles for Blogs, Websites, Social Media posts. Write set of articles together such as chapters of book, or complete book by giving list of topics and Kreate will generate all articles.

Kreate Slides

Create Presentations, Proposals and Pages

Design impactful presentation by giving prmpt. Convert your text and image content into presentations to win customers. Search in your knowledbe base of presentations and create presentations or different industry. Publish these presentation with one click. Generate SEO for public presentations to index and get traffic.

Kreate Websites

Agent to publish your website daily

AI powered website generation engine. It empower user to refresh website daily. Kreate Website AI agent does work of reading conent, website builder, SEO, create light weight images, create meta data, publish website, submit to search engine, generate sitemap and test websites.

Kreate AI Assistants

Build AI Assistant in low code/no code

Set up AI Assistant that give personized responss to your customers in minutes. Add RAG to AI assistant with minimal code- implement vector DB, create chunks to get contextual answer from your knowlebase. Build quality dataset with us for fine tuning and training a cusom LLM.

Create AI Agent

Build AI Agents - 5 types

AI agent independently chooses the best actions it needs to perform to achieve their goals. AI agents make rational decisions based on their perceptions and data to produce optimal performance and results. Here are features of AI Agent, Types and Design patterns

Develop data products with KREATE and AB Experiment

Develop data products and check user response thru experiment

As per HBR Data product require validation of both 1. whether algorithm work 2. whether user like it. Builders of data product need to balance between investing in data-building and experimenting. Our product KREATE focus on building dataset and apps , ABExperiment focus on ab testing. Both are designed to meet data product development lifecycle

Innovate with experiments

Experiment faster and cheaper with knobs

In complex problems you have to run hundreds of experiments. Plurality of method require in machine learning is extremely high. With Dataknobs approach, you can experiment thru knobs.

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