DataKnobs

Use Data Knobs to build Data Products

Build higher level concepts from raw data—creating packaged, delightful, and ready-to-consume "Chocolate Bars of Data."

Create DataProduct AB Experiment

Why - Dataknobs Philosophy

Create levers to control and **build data products** for multiple use cases

CIO

Define how data is being applied

Knobs provide the interpretation layer, giving you control over how information is applied in various AI and experimentation processes.

CDO

Improve performance of data org

Manage the complexity of modern enterprise data through standardized Knobs that ensure governance, lineage, and compliance across the organization.

CPO

Build data products for multiple use cases

Leverage Kreate to rapidly generate data products, websites, and bots, ensuring market validation through controlled experimentation with Knobs.

BUILD DATA PRODUCTS USING GENAI

DATA PRODUCTS BUILD RIGHT FROM START

Dataknobs capabilities—**KREATE, KONTROLS, and KNOBS**—ensure creative generation, robust guardrails, and precise experimentation for all your data and AI assets.

What - Dataknobs Capabilities

Built with intention, guardrails, and levers

KREATE

Create What Matters

AI-powered creation of new data with complete lineage, web designs, websites, and AI Assistants. Build things beyond imagination at fast speed.

Explore Kreate →

KONTROLS

Focus on guardrails and risks

Provide essential guardrails, lineage, audit trails, and governance for GenAI and Data Products. Apply creativity with responsibility.

Explore Kontrols →

KNOBS

Enable diagnostic and experimentation

Identify tunable parameters (levers) that have the highest influence on outcomes. Essential for faster A/B testing and diagnostics of AI agents.

Explore Knobs →
"Data products generally require validation both of whether the algorithm works, and of whether users like it."
— Harvard Business Review (HBR)

How - Dataknobs Deliver

Using the Drivetrain approach to build AI-driven data products effectively.

Predictive AI

Use AI for predicting specific outcomes

Traditional ML methods for specific outcomes like **Predictive Maintenance**, Risk Modeling, Sales Forecasting, and Anomaly Detection where historical patterns are strong.

AI for Asset Mgmt →

Generative AI

Use GenAI for generation and understanding like human

For creating new content (text, images) or human-like context understanding in unstructured environments, such as **Stocks Earnings Call Analysis**.

Generative AI Tutorial and Use Cases →

AI Agents

Agents built to think, act, and deliver

With Dataknobs Agentic AI, data becomes an active operator in your organization. Dataknobs delivers AI agents that think, act, and adapt across your business

AI Agents →

DataKnobs Product - Kreate

Build comprehensive data products—summarize data, create slides, websites, and chatbots.

Create Data

Create summaries, news data signals

Generate new, valuable data from raw sources by analyzing patterns. Generate summaries, extract meaningful signals, and create custom datasets.

KREATE DATA →

Create Websites

Generate Websites & Visualization

Generate webpages, SEO, and end-to-end websites directly from Google Drive or GitHub content. Create visualizations that win with search engines.

KREATE WEBSITES →

Create Bots

AI Agent, AI Assistants and chatbots

Create chatbots and AI agents with ease. Focus on enriching your knowledge base and use pre-built templates, including RAG implementation.

KREATE BOTS →

Use Cases Built With Dataknobs

Turning Raw Data Into Intelligent, End-to-End Data Products

Dataknobs Use Cases for Every Industry

For Every Industry

DataKnobs builds AI-powered data products that convert raw data into intelligent, end-to-end solutions tailored for business impact. Our portfolio includes specialized assistants for:

  • Business Analyst assistant for e-commerce analytics
  • Tax Research Assistant and Financial Planner Assistant
  • Earnings Call Insight Generator
  • Predictive Maintenance for manufacturing (AI Twin)
  • Compliance Assistant (Komply)
 View All Use Cases →

Latest Insights from the Blog

Deep dives into GenAI, Data Products, and Experimentation.

Build Dataproducts

How Dataknobs help in building data products

Enterprises are most successful when they treat data like a product, designing it for multiple use cases and consumption.

CTO and CIO Guide

How to Budget for GenAI (Slides & Guide)

Planning for GenAI adoption requires a careful balance of infrastructure, compliance, data, licensing, and scaling costs.

AI Agent Tutorial

How we use AI Agent for various scenarios

Learn about Agent AI features, types, benefits, challenges, and effective design patterns for modern systems.

Why knobs matter

Knobs are levers using which you manage output

See the Drivetrain approach for building AI products, where knobs are the abstract, controllable inputs key to success.