Dataknobs – Build, Govern & Optimize AI Data Products

Build intelligent, governed AI products faster with Dataknobs. Create, control, and optimize data-driven assistants, websites, and insights in one platform.


Dataknobs Overview

Dataknobs is a platform designed to help organizations build, deploy, and manage data-driven AI products rapidly and securely. It bridges the gap between data, AI models, and business applications, empowering teams to transform raw data into intelligent assistants, automation systems, and decision-support tools.

Core Products

1. Kreate

A no-code / low-code environment to build AI assistants and data products. It lets teams orchestrate LLMs, APIs, and databases into working systems without heavy engineering.

  • Build domain-specific AI Assistants
  • Integrate structured and unstructured data sources
  • Connect APIs and external feeds
  • Deploy via chat, dashboards, or custom apps

2. Kontrols

An observability and governance layer to ensure every AI product behaves predictably and compliantly.

  • Guardrails for prompts and responses
  • Monitoring of AI accuracy and bias
  • Policy and security enforcement (OAuth, JWT)
  • Experimentation with A/B testing

3. Knobs

Customizable modules that help fine-tune performance and user experience.

  • Scoring, ranking, and model tuning knobs
  • Plug-and-play metrics for business goals
  • Self-learning loops and feedback systems

Architecture Overview

Dataknobs architecture is modular and cloud-agnostic, built for enterprise-grade scalability and flexibility.

  • UI Layer: Next.js, React
  • Orchestration: LangChain for flow and reasoning
  • AI Process Layer: OpenAI, Gemini, Azure OpenAI, or custom models
  • Data & Knowledge: Vector DBs, PostgreSQL, storage buckets, APIs
  • Security: OAuth, JWT, audit trails
  • Deployment: CloudRun, App Services (GCP, Azure, AWS)
  • Experimentation: ABExperiment.com integration

Use Cases

  1. Complaint Management with AI

    • Classify, summarize, and route customer complaints automatically
    • Generate insights to improve service response time

  2. Audit Sales, Service, and Collection Calls

    • Transcribe and analyze call logs for compliance and performance
    • Surface coaching insights and compliance gaps

  3. E-commerce Analysis

    • Track product performance and review sentiment
    • Forecast sales trends using AI-driven insights

  4. Financial Planner AI Assistant

    • Conversational assistant to summarize investments and returns
    • Integrate with financial APIs for personalized insights

  5. Tax Research AI Assistant

    • OCR + structured data extraction for W2, 1099, and IRS forms
    • Query tax rules and generate filing recommendations

  6. Stocks Earnings Call AI Assistant

    • Analyze quarterly earnings calls to generate momentum scores
    • Detect EPS and revenue growth trends

  7. AI Twin for Google Data Center

    • Predict system anomalies and optimize energy usage
    • Monitor performance KPIs in real-time

Why Customers Choose Dataknobs

  • End-to-end platform to go from raw data → insights → AI product
  • Integrates seamlessly with existing cloud and data infrastructure
  • Transparent and governed AI workflows with audit and lineage
  • Modular and composable design for rapid experimentation

Example Deliverables

Module Description Example
Data Layer Vector DB + Knowledge ingestion Financial reports, website data
AI Assistant Domain-specific model Tax, Finance, Sales
Dashboard Insights and metrics Earnings trend visualization
Guardrails Policy and privacy layer Secure AI governance

Summary

Dataknobs enables teams to turn data into intelligent, explainable, and governed AI systems — without reinventing infrastructure. It’s the foundation for building scalable, safe, and value-driven AI assistants and data products across industries.


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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

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