You too can make
| decisions now
I'm Enola, your AI Super-Analyst. Ask me anything, and I'll turn your data into actionable answers within seconds.
What difference
can I really make for you?
Good question. Let's quickly calculate your time and cost savings.
Loading calculator...
Fill out the form to see your potential savings.
How I actually work
My engine turns raw data into strategic decisions in just three easy steps
Connect
Instant plug-and-play with your data warehouse
- Secures OAuth connection (Snowflake, Redshift, BigQuery, Azure, etc.)
- Scans metadata like table names, column names, and usage patterns
- Builds a semantic layer on the fly, no manual data modeling needed
Ask
Ask in plain English. I do the rest.
- Natural Language Querying (NLQ) interprets your intent
- Matches your question to metrics, dimensions, and filters from the semantic layer
- Applies Enola's BADIR™ framework to structure analysis like an expert analyst
Decide
Get Insights in seconds. Take decisions faster than ever.
- Runs in-warehouse queries. No data movement, no delays
- Delivers sharp, explainable insights with charts, summaries, and business context
- Results tailored to your role (RevOps, Finance, Product, etc.)
- One-click follow-ups or drill-downs, like chatting with a senior analyst (Coming Soon)
Connect
Warehouse
- • Semantic Layer
- • Metadata Scan
Ask
Interact in English
- • BADIR™ Engine
- • Plan + SQL Generation
Decide
Insight UI
- • Visual Output
- • Insight Summaries
How I stack up
against everything else
See why I'm miles ahead of BI tools, LLMs, and other AI analytics. From speed and security to business alignment, I outperform across the board, and I can easily prove it.
Overall Score
Speed to Insight
Lightning-fast: answers in seconds (ask and get)—no waiting
Glacial: dashboards/reports often take days–weeks to create or update
Fast-ish: generates analytic insights in minutes, but requires setup time
Ease of Use
Instant insights. True English Q&A with context-aware conversation. Zero setup beyond warehouse connection—start querying in minutes
No NLQ: GUI/drag-and-drop only; analysts translate needs into reports. Complex setup takes months
Not difficult, but spotty: NLQ works, yet misunderstandings happen.Setup is easier than BI, but time-consuming
Analyst Dependency
Low: business users self-serve with BADIR™ backing (analysts freed)
High: each new metric/report requires analyst work and BI development
Medium: reduces ad-hoc requests but still needs data science oversight
Business-Goal Alignment & Accuracy
Enterprise-grade trust: Built on the BADIR™ framework, always aligned to business objectives. Delivers warehouse-native, goal-first insights with near-zero hallucination
Structured and reliable: Insights are mostly grounded in business goals and supported by formal methods like BADIR™; some auto-insights may be data-led. Accuracy is strong, with rare AI drift
Mixed rigor: Uses generative AI and some logic, but lacks consistent business-goal framing or formal frameworks like BADIR™. Accuracy varies; hallucinations possible
Data Security
100% secure: no data movement, no copying, no storage—queries run in place
High: connects to your systems; some tools cache or store extracts
Mixed: some process data in-warehouse; others send data to vendor clouds
Cross-Team Adaptability
Universal: one interface for marketing, sales, finance, product—everyone speaks the same language
Siloed: each department needs its own dashboards, separate development
Broad: serves multiple functions, but may require separate configurations per team
| Feature | Enola | Traditional BI | AI Analytics | LLMs |
|---|---|---|---|---|
| Overall Score | 10 | 3 | 7 | 5 |
| Speed to Insight | 10 Lightning-fast: answers in seconds (ask and get)—no waiting | 2 Glacial: dashboards/reports often take days–weeks to create or update | 7 Fast-ish: generates analytic insights in minutes, but requires setup time | 5 Instant text output, but needs prompt engineering to extract data meaning |
| Ease of Use | 10 Instant insights. True English Q&A with context-aware conversation. Zero setup beyond warehouse connection—start querying in minutes | 2 No NLQ: GUI/drag-and-drop only; analysts translate needs into reports. Complex setup takes months | 6 Not difficult, but spotty: NLQ works, yet misunderstandings happen.Setup is easier than BI, but time-consuming | 6 Easy to use, excels at conversation, but lacks direct warehouse data access.Data integration requires extra work, and doesn’t always work |
| Analyst Dependency | 9 Low: business users self-serve with BADIR™ backing (analysts freed) | 2 High: each new metric/report requires analyst work and BI development | 5 Medium: reduces ad-hoc requests but still needs data science oversight | 3 High: users must train LLMs, verify responses, and correct hallucinations |
| Business-Goal Alignment & Accuracy | 10 Enterprise-grade trust: Built on the BADIR™ framework, always aligned to business objectives. Delivers warehouse-native, goal-first insights with near-zero hallucination | 7 Structured and reliable: Insights are mostly grounded in business goals and supported by formal methods like BADIR™; some auto-insights may be data-led. Accuracy is strong, with rare AI drift | 4 Mixed rigor: Uses generative AI and some logic, but lacks consistent business-goal framing or formal frameworks like BADIR™. Accuracy varies; hallucinations possible | 1 Unreliable analysis: Generic or exploratory outputs, no alignment to business objectives, no structured method like BADIR™, and high risk of hallucinations |
| Data Security | 10 100% secure: no data movement, no copying, no storage—queries run in place | 7 High: connects to your systems; some tools cache or store extracts | 5 Mixed: some process data in-warehouse; others send data to vendor clouds | 2 Questionable: requires data upload or API access, often external storage |
| Cross-Team Adaptability | 10 Universal: one interface for marketing, sales, finance, product—everyone speaks the same language | 4 Siloed: each department needs its own dashboards, separate development | 7 Broad: serves multiple functions, but may require separate configurations per team | 5 Generic: works for any team in theory, but no built-in business modules |
I integrate easily with your data & tech stack
If you have any other integrations, we can provide support for it within 1 week of onboarding
Experience decision acceleration today
Want to see what instant insights look like? Get started for free today. Enola is already transforming how teams decide.
What I do best
These are the features that power your decision-making
AI-Powered Analysis
I never sleep. I scan your data 24/7 to surface patterns, trends, and anomalies that matter most.
Natural Language Interface
Just ask in plain English. I'll understand your intent and give you direct, data-backed answers.
Real-time Insights
No waiting. I deliver instant responses to your biggest business questions—right when you need them.
Multi-source Data Integration
I connect to Snowflake, BigQuery, Azure SQL, and more—so your data stays unified and ready to explore.
Advanced Visualizations
Need a chart? A graph? I auto-generate the visuals that best explain what the data is saying.
Enterprise-grade Security
I'm SOC 2 Type II certified, with encryption and controls that meet the highest standards.
BADIR™ Framework
Every insight I share is grounded in the BADIR™ methodology, so you can trust it's business-ready.
Questions?
I've already got the answers.
How quickly can I get started with Enola?
You can be up and running in just 15 minutes. Simply connect your data warehouse through our secure OAuth integration, and Enola will automatically scan your metadata and build a semantic layer. No complex setup or data modeling required.
Is my data secure with Enola?
Absolutely. Enola operates with 100% data security - we never move, copy, or store your data. All queries run directly in your warehouse, ensuring your data stays exactly where it belongs. We're SOC 2 compliant with bank-level security standards.
What makes Enola different from traditional BI tools?
Unlike traditional BI tools that require weeks of setup and technical expertise, Enola provides instant insights through natural language queries. You can ask questions in plain English and get answers in seconds, not days. Plus, our BADIR™ framework ensures every insight is business-goal aligned.
Can Enola integrate with my existing data warehouse?
Yes! Enola supports all major data warehouses including Snowflake, Redshift, BigQuery, Azure, Databricks, and more. If you have a specific integration need, we can typically provide support within 1 week of onboarding.
Do I need technical skills to use Enola?
Not at all! Enola is designed for business users. Simply ask your questions in natural English - no SQL knowledge required. Our AI understands your intent and translates it into the appropriate queries, delivering insights that are easy to understand and act upon.
How does the BADIR™ framework improve my analysis?
BADIR™ (Business-Analysis-Data-Insights-Recommendations) ensures every analysis starts with a clear business question and ends with actionable recommendations. This structured approach eliminates random data exploration and guarantees that insights directly support your business objectives.