Dataknobs Commitments | How We Operate

Dataknobs focus on data centric AI. Using knobs (abstract levers) we make data usable and useful in governed manner. Using knobs we create data, augment data, anonymize data and make it usable. To make data useful we enable experimentation with knobs. Using knobs one can also publish/share insight to different channels.

DataKnobs Positioning

The Integrated AI Product & Services Platform

This interactive report analyzes DataKnobs, a hybrid AI company combining a unified SaaS platform—built on the "Kreate, Kontrols, Knobs" framework—with high-touch fractional executive services. Explore the data below to understand their technology, strategy, and market position.

The Kreate, Kontrols, Knobs Triad

DataKnobs' core platform is an end-to-end solution for the AI product lifecycle. Click each component to explore its features and strategic purpose. This integrated approach is designed to reduce the friction of using disconnected tools for development, governance, and optimization.

KREATE

The Generative Engine

AI-powered tools to democratize the creation of data assets, web experiences, and conversational agents.

KONTROLS

The Governance Framework

A multi-layered guardrail system to ensure reliability, compliance, security, and ethical integrity of all AI products.

KNOBS

The Optimization Engine

An advanced experimentation platform to systematically test and optimize all components of an AI application.

High-Impact Vertical Solutions

DataKnobs applies its core framework to solve specific industry problems. Filter the use cases below to see how the platform delivers value across different sectors.

Fractional CTO/CAIO Services

Beyond the platform, DataKnobs offers a strategic "land-and-expand" service model. The chart below visualizes the indicative monthly investment for each flexible engagement tier, providing a clear comparison of the available options.

Market Positioning & Analysis

DataKnobs operates in a complex market. The visualizations below provide a strategic assessment of its competitive standing and a summary of its core strengths, weaknesses, opportunities, and threats.

Competitive Landscape

This radar chart compares DataKnobs' perceived strengths against typical competitor archetypes. Its balanced profile highlights the advantage of its integrated, full-lifecycle approach.

SWOT Analysis

A summary of the internal and external factors impacting DataKnobs' strategic position, based on the research report.

About Dataknobs

Innovate with responsibility

Instead of focusing on sophisticated algorithms, we focusing on building quality dataset(s) that have high predictive power

"We help you power your AI applications with the data you need"

Generative AI

We use generative AI in controlled manner. We have built methods to govern/control/validate generative AI output. We are making more progress in this area.

Our prducts
  • KREATE - Use knobs to generate web experience. Behind the scene automation + AI +Generative AI is used
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  • KONTROLS - Use knobs to define controls for AI and generative AI
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  • AB Experiment - Using knobs allow teams to experiment quicker and cheaper
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    Our commitmments

    At our company, we are committed to advancing the field of artificial intelligence and leveraging its potential to create a better world. Our commitments are as follows:

    Ethical AI: We are committed to building ethical AI systems that prioritize human values and rights. Our AI systems will be designed with transparency, fairness, and accountability in mind, and we will work to mitigate any potential biases and risks associated with their use.

    Innovation: We are committed to driving innovation in the field of AI and developing cutting-edge technologies that can solve real-world problems. We will invest in research and development, collaborate with industry and academic partners, and continuously improve our AI systems to deliver the best possible results.

    Customer Success: We are committed to the success of our customers and will work closely with them to understand their unique needs and goals. We will provide them with the best possible solutions and support to help them achieve their objectives.

    Privacy and Security: We are committed to protecting the privacy and security of our customers' data and ensuring that our AI systems comply with all relevant regulations and standards. We will implement robust security measures and data protection protocols to safeguard our customers' data.

    Diversity and Inclusion: We are committed to promoting diversity and inclusion in the field of AI and building a team that reflects the diversity of our global community. We will create an inclusive workplace culture that fosters creativity, collaboration, and innovation.

    By upholding these commitments, we aim to be a trusted partner for our customers, a leading innovator in the field of AI, and a responsible member of the global community.


    Our Address

    Dataknobs Inc

    9844 244th PL NE

    Redmond WA 98053

    United States
    info@dataknobs.com

    Website - www.dataknobs.com

    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

    Launch intelligent chatbots instantly
  • 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

    AI-driven website builder
  • 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

    Content Management for GenAI
  • 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

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

    • Content Compass

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