Reporting tools, dashboards, search engines are the past

Tomorrow's Technology will be Answer Engines

How our Agents Work?

Ask Your Question

STEP 1

Ask Your Question

Have a specific question about sales, operations, or any company function? With Denzing, your data architects create dedicated AI agents for each department or business process. Simply choose the relevant AI agent—like your Sales Pipeline Agent—and ask your question directly.

It Understands Your Intent

STEP 2

It Understands Your Intent

First, our Intent Engine uses cutting edge technology such as: NLP parsing, Retrieval Tree algorithms, and memory caching to fully understand your question. And when unclear, it asks follow-up questions to stay accurate.

It Extracts the Right Data

STEP 3

It Extracts the Right Data

Next, our Query Engine uses your metadata— attributes, metrics, relationships, and rules—to guide the LLM in generating optimized SQL queries which run directly in your on-premise warehouse, so your data stays secure.

Now You Have Your Answer

Results are returned as clear, interactive visualizations.

But it doesn’t stop there. There are many additional features to enhance your experience.

Edit SQL Responses

View and tweak the generated SQL for full transparency.

Bookmark Key Insights

View and tweak the generated SQL for full transparency.

See the AI’s Workflow

Track every step - no black-box decision-making.

Drill Down into Data

Easily explore deeper insights.

Customize Agent for You

Define your own metrics and terminology to tailor the AI to your needs.

How To Build An Agent

Connect Your Data

STEP 1

Connect Your Data

Easily integrate CSV files or databases like Snowflake, BigQuery, and Postgres, seamlessly and securely. We only query your data; it stays on your site with full encryption.

Train Your Agent

STEP 2

Train Your Agent

Explain your Agent the business process, its key metrics, attributes, and hierarchies, or our system can auto-generate the metadata from your glossary. Everything can be configured in minutes, so your team can start asking questions right away.

Deploy & Improve

STEP 3

Deploy & Improve

Your agent is now live and ready to answer questions instantly! As your team uses it, you can track feedback, likes, and questions to continuously refine and improve its accuracy through the metadata.

Humans and AI collaborating

We imagine a world where humans and AI are collaborating together
And we are building precisely to enable this collaboration:

Group Chats with AI

Multiple users can chat with an agent in the same conversation.

Threads
Agent
Users
Shared Users
Placeholder image for faux user Ishwor KafleIshwor Kafle
Placeholder image for faux user Sudeep MauratiSudeep Maurati
Placeholder image for faux user Data AgentData Agent
Placeholder image for faux user Sukman GurungSukman Gurung
Placeholder image for faux user Data Agent 2Data Agent 2
Placeholder image for faux user Ritesh PandeyRitesh Pandey
Placeholder image for faux user Pratistha BajracharyaPratistha Bajracharya

Escalation & Feedback

Power users can review queries, refine logic, and improve accuracy.

Sharing Conversations

Share AI-driven insights with your team.

Placeholder image for user

Bardan Raj Joshi

@bardanjoshi

@ritesh I've shared a conversation where I analyzed the monthly sales report. Can you please review it? 😊 ❤️

Agent Marketplace

Access pre-built agents for public data like stock market trends and weather.

Future Innovations

As AI keeps pushing boundaries, we’re focused on bringing these breakthroughs into real-world solutions

Agentic AI with roles & responsibilities

Agents can be assigned specific domains, like finance or marketing, so they can provide more accurate and context aware responses.

Multi-Agentic Chat

Multiple agents can participate in a single chat, each bringing their own expertise to solve more complex, cross-functional questions..

Semantic Layer Optimizations

Reduces the complexity of managing metadata by automating setup and supporting semantic imports from tools like Power BI or Looker.

Predictive Capabilities

Agents can tap into forecasting and modeling systems to deliver insights about future trends or outcomes.

Security and Privacy

At Denzing, we don’t just build AI—we build enterprise-grade systems with security at the core.

Our deep experience in large-scale app development ensures a foundation you can trust.

That’s why our approach to security and privacy is built on four core pillars:

Access ControlAccess Control

We ensure only authorized users have access through Two-Factor Authentication (2FA), session timeouts, and Role-Based Access Control (RBAC). These measures help enforce strong identity verification and limit access based on user roles.

Data EncryptionData Encryption

All data in transit is protected with TLS 1.3, and data at rest is encrypted using AES-256. Secrets and credentials are stored securely in Key Vaults, never exposed in plain text.

Network Security & IsolationNetwork Security & Isolation

Denzing can be fully isolated from the public internet, including on-premise deployments for complete control. We use Web Application Firewalls (WAFs) to block threats and protect system integrity.

CompilanceCompilance

Denzing is built to meet SOC 2, GDPR, and CCPA standards, with regular audits to ensure compliance. This ensures enterprise-grade data protection and adherence to global privacy regulations.

A world where virtual agents and real humans are collaborating together

At Denzing we are building and innovating as fast as possible for this future. Where AI agents and real humans are collaborating together to solve business problems.

Join us as we build for this future.