GetDot.ai Finds Insights. Zenlytic Delivers Understanding

Zenlytic turns questions into clear, verified answers your team can act on, without dashboards, agents, or BI complexity

Read More
data agent background

Why Modern Teams Choose Zenlytic

Verified answers with transparent logic

Zenlytic doesn’t just fetch insights — it explains why results are correct, making findings trustworthy and immediately usable.

Immediate productivity, without artificial agent overhead

Teams connect Zenlytic to their data and start getting business answers in minutes; GetDot.ai’s agent setup, governance, and BI integration mean additional configuration and maintenance.

Built for real decisions, not just discovery

Zenlytic’s conversational model focuses on decision-ready answers, not just exploratory insights or summaries.

Designed for the whole organization

Zenlytic supports operators, finance, GTM, and executives with intuitive explanations, reducing dependence on analysts or dashboards.

See Zoë in Action, Book a Demo Today

Quick Summary:
Zenlytic vs GetDot.ai

Best-in-Class
Acceptable / Mixed
Weak / Missing
Feature category
Feature
Zenlytic
GetDot.ai
Trust, Accuracy
& Governance
Verification of logic
Verifies analytical logic before returning answers
Inferences depend on agent responses and existing BI context
Explanation of results
Explains analytical reasoning in plain language
Provides summaries and recommended actions, but logic visibility varies
Transparency of assumptions
Makes assumptions and filters explicit by default
Assumptions are influenced by integrated metadata and BI models
Decision readiness
Outputs confident, verifiable answers ready for action
Outputs may need follow-up checks for enterprise decisions
Analytics &
BI Capabilities
Natural language questioning
Converts questions directly into answers with detailed context
Maps natural language to insights leveraging BI metadata
Root cause analysis
Strong iterative analysis with context retention
Offers root-cause style analysis and business summaries
Visual insights integration
Provides explanation + optional context visuals
Generates insights and summaries but relies on BI or other tools for visuals
Ease of Use
& Adoption
Target users
Built for non-technical users company-wide
Designed for business users but may require BI familiarity
Learning curve
Very low — connect and ask questions
Accessible, but configuration and governance workspace may add complexity
Setup and Time
to Value
Initial setup
Fast connection to data, minimal config
One-click connections but deeper integration into BI stacks may take time
Configuration overhead
No semantic layers or modeling required
Uses BI models, dbt metrics, LookML, or documentation to ensure governed responses
Time to first insight
Answers in minutes
Insights quickly, but discovery depth depends on setup
Analytical Depth &
Proactive Intelligence
Proactive insight generation
Focused on answering specific questions with depth
Provides weekly business summaries and actionable recommendations
Hidden patterns discovery
Identifies patterns through context-aware follow-ups
Uncovers previously unknown insights via continuous monitoring
Role in the Modern
Data Stack
Primary role
Decision layer delivering verified answers
AI data analyst layer that bridges BI tools and data sources
Relationship to other tools
Complements BI and warehouse tools without lock-in
Integrates with Slack, Teams, and BI tools like LookML, dbt, etc.
Scalability, Integration
& Enterprise Fit
Scalability model
Scales with modern cloud data warehouses
Scales with agent infrastructure and BI tool ecosystem
Governance alignment
Respects enterprise access controls by default
Offers role-specific permissions and row-level security
Enterprise operational overhead
Minimal ongoing maintenance
Training and governance workspace for tuning accuracy
Use Case
Zenlytic
ThoughtSpot
Conversational analytics
Best-in-class
Limited
Fast onboarding for startups
Plug-and-play
Complex setup
Sales & Marketing enablement
Tailored workflows
More generic
Data analyst support
Works alongside analysts
Strong tooling support
Enterprise deployments
Scales well
Trusted by large enterprises

Customer Love & Case Studies

Whether it’s doubling down on channels that are performing, fixing campaigns that are broken or acting on early warning signals to reduce subscription churn rates – Zenlytic gives us the insights we need to grow.

Melissa DiNapoli, Director of Omnichannel
,
LOLA
Challenge

With LOLA’s previous analytics tools, they lacked the ability to see when and where their customer subscriptions were slipping.

Zenlytic Solution

The Zenlytic BI platform allows LOLA to identify exactly what is causing changes in subscription revenue so they can push innovative new features to combat churn. By using Zenlytic to identify, and act on early warning signs of churn, LOLA has seen higher customer satisfaction and a 10% decrease in their chun rate over the last 12 months.

Before Zenlytic, we were wasting 20+ hours per week suffering through excel files and reporting we didn’t even trust. Now the first thing I do every morning is open slack, check Zenlytic, and get to work.

VP of Marketing
,
KOIO
Challenge

KOIO was manually pulling excel files from a multitude of disparate sources (i.e. Shopify, ad platforms, website, etc) and relying on an expensive third party data consultant to provide analytics and reporting. KOIO’s team couldn’t pull reports or interactively slice their metrics on their own – rendering it impossible to capture important aspects of their business like inventory, specific product sales, acquisition channels and more.

Zenlytic Solution

Zenlytic’s data engineering support team was able to organize KOIO’s data pipelines, upgrade their data stack, and get them running on Zenlytic so that their entire team could understand the full story of their brand’s data.

Without Zenlytic, we never would have spotted these patterns. We have 100 x'ed our ability to understand what’s happening in our business.

CEO
,
Neobank
Challenge

For a DTC digital bank, security is paramount. Neo-bank noticed flagged accounts and higher default rates, signaling a possible early attempt to circumvent their fraud protection protocols. They needed to identify high-risk users, quickly and reliably.

Zenlytic Solution

With the help of Zöe, Neo-bank detected common traits among flagged accounts and found bad applicants in their system. In minutes (not weeks), they removed the users and tightened fraud protection.

Conclusion

‍

Choose Zenlytic if your team needs trusted, verified answers they can act on immediately, without heavy configuration, dashboards, or BI modeling and you want clarity as well as insight.

Schedule A Demo to See Zoë in Action

Give your team a true AI data analyst with Zoë. No setup headaches. No tickets. Just answers.

Book a Demo