Dataknobs: AI Suite for Data Product Management



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

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