Talk to your data
in plain English.

Get strategic insights, actionable suggestions,
and instant answers to your questions.

Self-service. No coding required.

Try it out

Examples

Real-life examples

We help you put your domain know-how into strategic and tactical action.

With Datova, you can create an automation system based on your company's internal knowledge that generates insights and suggestions for taking action based on your data.

Here are some examples.

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User Query

What machines have been offline today?

What can we do for you?

Datova AI turns complex data into actionable insights, empowering non-technical users to make data-driven decisions.

Chat &
Charts

Intuitive chat interface that produces plain English answers, supported by charts and tables for interactive data exploration.

Reports &
Dashboards

Automated visual and textual summary of answers to your query, generated periodically from your latest data and sent to users for review.

Alerts &
Suggestions

Automated actionable messages sent to users based on plain English conditions, grounded in your company's data and internal knowledge.

Deployment options

Cloud, private, or on-premise

Deployment options
  • Datova AI Cloud

    Our cloud-based solution, with a focus on ease of use and scalability.

  • Private Cloud

    Your own cloud environment, Kubernetes cluster, or a virtual machine.

  • On-premise

    A hardware appliance for physical data center or desktop deployment.

Onboarding steps

From data and knowledge
to insights and action

Step 1: Link data and context

The first step is to link your data and seed the business context.

We connect to your data sources (in place, read-only) and ask you to provide context information about your business, goals, and team. With this foundational information, we fine-tune our solution to match your domain and use-case.

We then index your meta-data. We never copy the actual data - they stay in place. The index only covers metadata, such as column names, types, and relationships, and sample data.

Optionally, you can use plain English to augument the index with descriptions of your data and further fine-tune the solution.

Solution - AI chat interface for data exploration
Solution - AI chat interface for data exploration

Step 2: Building knowledge

At this stage, you're ready to explore and query your data. Just start asking your questions in the chat interface, and you'll get answers grounded in your data, reports, drill downs, and more.

But for advanced functionality like suggestions and recommendations, we can take you one step further. With our plain English based knowledge building tool we help you and your team transfer domain knowledge into your Datova solution.

The domain knowledge can take many forms: descriptions of actions to be taken in specific situations, description of ways to discover anomalies or patterns, or simply a collection of best practices and guidelines. Just imagine teaching a new team member what your business is all about - that's all that's needed.

As you add more knowledge, the solution will become more and more competent, helpful, accurate, and adapted to your business.

Step 3: Copilot or Autopilot

With both data and domain knowledge in place, the solution can now be fully put to work.

Datova will continuously monitor your data and leverage the domain knowledge to provide you with answers, reports, and recommendations.

In the copilot mode, you take the lead and Datova will serve as your personal assistant. It will answer your questions, provide you with reports, but also make proactive suggestions and recommendations.

In the autopilot mode, the solution can be further integrated into your systems and act more like a team member on your internal communication channels, such as Slack, Teams, or email.

Solution - AI chat interface for data exploration
Making connection seamless

Our Integrations

Reuse existing data sources to enhance results created by our solutions.

Google Analytics 4
Shopify
GCP BigQuery
Azure SQL
PostgreSQL
MongoDB
AWS Redshift
AWS DynamoDB
Azure Cosmos DB
MySQL
TimescaleDB
InfluxDB
Databricks
Snowflake
SAP HANA
SAP IQ
SAP ASE
Innovating across sector

Served industries

Food and Beverage

Food and Beverage

Supply Chain and Logistics

Supply Chain and Logistics

Data centers

Data centers

Chemical and Petrochemical

Chemical and Petrochemical

Pharmaceuticals and Biotechnology

Pharmaceuticals and Biotechnology

Hospitals and Healthcare

Hospitals and Healthcare

Semiconductor and Electronics Manufacturing

Semiconductor and Electronics Manufacturing

Aerospace and Automotive Manufacturing

Aerospace and Automotive Manufacturing

Founder

Led by a seasoned data engineer.

Datova AI is run by Vit Prajzler, a seasoned data engineer with a passion for building products that enable and secure the next generation of connected systems, from the edge to the cloud.

In his previous roles, he started and scaled companies that built real-time data pipelines focused on IoT and edge computing.

Vit's LinkedIn

Vit Prajzler

Founder

Vit's profile picture
Team member 1
Team member 2
Team member 3
Team member 4
About us

We empower better decision making

Datova AI is a boutique data and knowledge company that helps business make better data-driven decisions.

Join our team

We are always looking for data and knowledge enthusiasts to join our team.

Trivia: The name Datova comes from the Czech word "datová" which means "of data".

Contact our
data team

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Are you interested in one of our products?

Our team will be happy to answer your questions and get you started.