DataKnobs: Transforming Enterprises with AI-Powered Data Products for Humans and Machines



DataKnobs: Empowering Enterprises to Build Cutting-Edge Data Products

DataKnobs is at the forefront of innovation, enabling enterprises to seamlessly build data products by harnessing the full potential of human-created and machine-generated data. Our approach is grounded in understanding the diverse languages of humans and machines, offering two broad categories of data-driven capabilities:

1. Human-Created Data

This category focuses on NLP (Natural Language Processing) and structured datasets crafted by human inputs. Human-created data encompasses text, tabular data, and structured information generated in business processes, research, and decision-making workflows. DataKnobs provides tailored solutions for this category through its products:

  • Kreate: A comprehensive platform to build, experiment with, and deploy data products that leverage NLP and structured datasets. Kreate allows enterprises to design AI-driven workflows, generate actionable insights, and build scalable data products for a wide range of use cases, such as sentiment analysis, personalized content, and predictive analytics.
  • Kontrols: A powerful tool for monitoring, managing, and optimizing the lifecycle of data products. Kontrols ensures data integrity, compliance, and performance metrics for AI and data-driven applications.

2. Machine/Robot-Generated IoT Data

This category deals with IoT (Internet of Things) data and streaming data generated by machines and robots. IoT data represents the language of machines, encompassing sensor readings, telemetry, and other real-time data streams. To address this unique data stream, DataKnobs introduces:

  • AI Twin: A robust platform designed to build data products using IoT and streaming data from both machines and human-machine interactions. AI Twin enables enterprises to create AI models that simulate and analyze machine behavior, optimize operations, and deliver predictive maintenance capabilities.

Unified Approach to Building Data Products

DataKnobs brings together the best of human and machine data to redefine how data products should be built for enterprises. By understanding the nuances of both human language and machine communication, DataKnobs bridges the gap between structured and unstructured data sources, creating a holistic framework for data product development.

This integrated approach ensures that enterprises can:
- Harness the power of diverse data sources, from human-generated text to machine telemetry.
- Experiment with and optimize data-driven workflows using advanced AI models and tools.
- Build scalable, enterprise-grade solutions that drive innovation and operational efficiency.

With DataKnobs' suite of tools—Kreate, Kontrols, and AI Twin—enterprises gain the ability to navigate the complexities of modern data ecosystems and unlock the true potential of their data. Whether it’s transforming NLP insights into actionable strategies or leveraging IoT data for operational excellence, DataKnobs is your partner in building the future of data products.




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Dataknobs Blog

Showcase: 10 Production Use Cases

10 Use Cases Built By Dataknobs

Dataknobs delivers real, shipped outcomes across finance, healthcare, real estate, e‑commerce, and more—powered by GenAI, Agentic workflows, and classic ML. Explore detailed walk‑throughs of projects like Earnings Call Insights, E‑commerce Analytics with GenAI, Financial Planner AI, Kreatebots, Kreate Websites, Kreate CMS, Travel Agent Website, and Real Estate Agent tools.

Data Product Approach

Why Build Data Products

Companies should build data products because they transform raw data into actionable, reusable assets that directly drive business outcomes. Instead of treating data as a byproduct of operations, a data product approach emphasizes usability, governance, and value creation. Ultimately, they turn data from a cost center into a growth engine, unlocking compounding value across every function of the enterprise.

AI Agent for Business Analysis

Analyze reports, dashboard and determine To-do

Our structured‑data analysis agent connects to CSVs, SQL, and APIs; auto‑detects schemas; and standardizes formats. It finds trends, anomalies, correlations, and revenue opportunities using statistics, heuristics, and LLM reasoning. The output is crisp: prioritized insights and an action‑ready To‑Do list for operators and analysts.

AI Agent Tutorial

Agent AI Tutorial

Dive into slides and a hands‑on guide to agentic systems—perception, planning, memory, and action. Learn how agents coordinate tools, adapt via feedback, and make decisions in dynamic environments for automation, assistants, and robotics.

Build Data Products

How Dataknobs help in building data products

GenAI and Agentic AI accelerate data‑product development: generate synthetic data, enrich datasets, summarize and reason over large corpora, and automate reporting. Use them to detect anomalies, surface drivers, and power predictive models—while keeping humans in the loop for control and safety.

KreateHub

Create New knowledge with Prompt library

KreateHub turns prompts into reusable knowledge assets—experiment, track variants, and compose chains that transform raw data into decisions. It’s your workspace for rapid iteration, governance, and measurable impact.

Build Budget Plan for GenAI

CIO Guide to create GenAI Budget for 2025

A pragmatic playbook for CIOs/CTOs: scope the stack, forecast usage, model costs, and sequence investments across infra, safety, and business use cases. Apply the framework to IT first, then scale to enterprise functions.

RAG for Unstructured & Structured Data

RAG Use Cases and Implementation

Explore practical RAG patterns: unstructured corpora, tabular/SQL retrieval, and guardrails for accuracy and compliance. Implementation notes included.

Why knobs matter

Knobs are levers using which you manage output

The Drivetrain approach frames product building in four steps; “knobs” are the controllable inputs that move outcomes. Design clear metrics, expose the right levers, and iterate—control leads to compounding impact.

Our Products

KreateBots

  • Ready-to-use front-end—configure in minutes
  • Admin dashboard for full chatbot control
  • Integrated prompt management system
  • Personalization and memory modules
  • Conversation tracking and analytics
  • Continuous feedback learning loop
  • Deploy across GCP, Azure, or AWS
  • Add Retrieval-Augmented Generation (RAG) in seconds
  • Auto-generate FAQs for user queries
  • KreateWebsites

  • Build SEO-optimized sites powered by LLMs
  • Host on Azure, GCP, or AWS
  • Intelligent AI website designer
  • Agent-assisted website generation
  • End-to-end content automation
  • Content management for AI-driven websites
  • Available as SaaS or managed solution
  • Listed on Azure Marketplace
  • Kreate CMS

  • Purpose-built CMS for AI content pipelines
  • Track provenance for AI vs human edits
  • Monitor lineage and version history
  • Identify all pages using specific content
  • Remove or update AI-generated assets safely
  • Generate Slides

  • Instant slide decks from natural language prompts
  • Convert slides into interactive webpages
  • Optimize presentation pages for SEO
  • Content Compass

  • Auto-generate articles and blogs
  • Create and embed matching visuals
  • Link related topics for SEO ranking
  • AI-driven topic and content recommendations