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Data Storytelling,
Reimagined

Automate answers to data questions, define next steps, and generate personalized weekly reports with actionable insights.

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How did sales performance improve last week?
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Primary Objective
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How did sales performance improve last week?
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Insight
Analysis
Was there a recent marketing push geographically?
Insight
Yes, there was a marketing push for Los Angeles, CA last week through social media channels.
Insight
Analysis
Was there a change in visual layouts in the physical stores?
Insight
No, there were no changes made to layouts in physical stores last week.
Insight
Analysis
Did order value move?
Insight
Yes, order value increased by 4.3% from last week to this week.
Insight
Analysis
Did units per transaction move?
Insight
Yes, UPT increased by 1.96% from last week to this week.
The first
The first
data storytelling tool
data storytelling tool
that helps you
that helps you
ask the right questions.
ask the right questions.
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Data Playbooks
Unified
Data Model
Query using plain English
Automated Reports
Does this sound familiar?
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You know what is happening, but not how to interpret the data to drive actions.
Solved
solved
Stakeholders don't know what questions to ask based on their business objectives.
Solved
solved
You don’t have robust processes to build a unified semantic layer.
Solved
solved
You don't track and measure the decisions made because of your data.
Solved
solved
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Data Playbooks
Bridge the gap between
data
and decision making.
Pre-define what questions to ask and next steps to take based on data outcomes. After the playbook runs, receive automated report summaries to share with your team.
Butler AI
Ask questions about your personalized report in plain English.
Give anyone the power to answer and unblock their personal data requests, while being confident they're receiving the right answers.
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Data Models
Your unified semantic data model is built while you answer questions.
So you can focus on solving business problems without compromising on reusability & governance, and maintain software development best practices.
Confidence Ranks
Trust is non-negotiable. Total transparency.
Know exactly what sources power each insight, which tests are run, and a confidence ranking per response.
Can you confirm if 'Mountain Tire Sale' is the exact name of the promotion you are referring to?
Confirm
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Security is our top priority.
Built to handle enterprise scale and with your privacy in mind.
SOC 2 Type 2 Compliant

Ensure your data is handled with the highest security standards. We are actively seeking SOC 2 Type 2 compliance, and this certification reflects our commitment to safeguarding your sensitive information.

Encrypted In-Transit & At-Rest

Ensure that your data remains secure throughout its entire lifecycle. This robust encryption standard safeguards your data from unauthorized access, providing compliance with industry regulations.

Credentials Stored Securely

Your credentials are stored securely using industry-standard encryption and a robust secrets manager, ensuring they remain fully protected from unauthorized access at all times.

Label Columns as PII

Easily label columns as PII to ensure sensitive data is automatically identified and handled securely, maintaining privacy compliance throughout your workflows.

Self-Hosted or Managed LLM

Use your own OpenAI API key, or use ours for convenience. Maintain control over your data while still benefiting from seamless, powerful AI integration for reliable insights.

Maintain Unified Governance

Centralize control over data access, privacy, and compliance, ensuring consistent security policies across your organization with a unified data model.

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What is the AgentMesh?
We’ve built an orchestrated group of AI agents who work together to create a composite analysis, evaluating each other’s work, running calculations under the hood, and providing state-of-the-art accuracy in data analysis.
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Code Evaluator
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Semantic Retrieval
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Proprietary Ranking
System
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Single AI Agent
Sole purpose is to perform one component of the workflow to the best of its ability.
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The New Age of
Data Exploration is Here
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Data accessibility problems?
Solved
solved
Anyone can ask personalized follow-up data questions in plain English. Give users the power to unblock their data requests.
Semantic layer?
Solved
solved
As your data team answers questions, Kater automatically builds a shared data model which serves as the source of truth.
Reactive analytics?
Solved
solved
More than just what is happening, enable everyday users to find why outcomes occur, and outline what decisions they should make.
Is data a cost center?
Solved
solved
Accelerate your problem-to-impact workflow and enable a proactive, decision-driven analytics culture in your company.
Effortlessly Set Up in 15 Minutes
Ready to change the way your company interacts with data?
Try for Free
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Who is Kater for?

Kater is built for data professionals and data inquisitors. As your data team answers questions through playbooks, Kater automatically builds a shared data model which serves as the source of truth for your business metrics and semantics. This data model is version-controlled and follows SWE best practices. The data model enables business experts to ask personalized follow-up questions from the playbooks using plain English. Give anyone the power to answer and unblock their personal data requests.

How much does Kater cost?

We support free trials, with annual contracts determined by the size and complexity of your data and company. Contact us for more details.

What data warehouses do you integrate with?

You can connect with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL. If you have a warehouse not on this list, we can build a custom connector for you in ~1 day.

How long does it take to set up?

Set up takes as quick as 15 minutes, and we provide white-glove onboarding and concierge services. We've meticulously designed Kater to be interoperable with your existing data stack and extremely simple to onboard, so you can start seeing value immediately.

How will Kater use my data?

We take data privacy very seriously. Kater does not store any of your data in our application database, nor do we use your data to train any LLM. Everything is stored locally in your browser's cache.

Does Kater use AI to write SQL?

Kater only uses AI to help your data members write SQL as they build the Playbooks, ensuring that a human is still in the loop. Kater does not use AI to write SQL for non-technical users; it uses the defined YAML data model files instead. This ensures the highest accuracy in SQL results, as we found that using GenAI to generate SQL is not sufficient for business critical functions.

I have more questions. Who can I talk to?

More information can be found in our documentation portal. If you'd like to chat with one of our customer experts, book a quick 25 minute demo with us, or reach out to us at support@kater.ai.

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