SimplyPut - Conversational AI data analytics for enterprises

What is SimplyPut

If you're like most business leaders, you've experienced this frustration: your team needs data to make decisions, but they can't access it without filing tickets, waiting for analysts, or writing SQL queries themselves. The data exists in your systems, but it's locked behind technical barriers that slow down every decision.

That's exactly the problem SimplyPut was built to solve.

SimplyPut is an enterprise-grade conversational AI data analytics platform that lets anyone ask questions about their data in plain language and get trustworthy answers in seconds. Whether you're embedding analytics into your product for customers or democratizing data access within your organization, SimplyPut handles the complexity so your users don't have to.

What makes SimplyPut different from other AI analytics tools is our unique SQL verification mechanism. Unlike traditional Text-to-SQL solutions that can hallucinate incorrect queries, SimplyPut lets users review and validate the generated SQL before execution. This creates a trust layer that enterprise teams actually rely on—because in business, getting the wrong answer is worse than getting no answer at all.

The platform serves forward-thinking companies across industries, including American Hospital Association, Harry's, MoneyLion, Kajabi, and dozens of other organizations that need to scale data access without compromising accuracy. As Jim Jazwiecki, CTO of Clipp.com, put it: "This is the most exciting application of Generative AI I've seen to date."

SimplyPut isn't just about answering questions—it's about transforming how organizations think about data access. When 80% of your team needs data to do their jobs but only 20% have SQL skills, you need a solution that bridges that gap without creating new risks.

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Core Features That Drive Real Business Value

Every feature in SimplyPut was designed with one goal in mind: making data accessible without sacrificing accuracy. Here's what you can actually do with the platform.

AI-Powered Conversational Analytics

You can use SimplyPut to ask follow-up questions and dig deeper into your data. Unlike static dashboards that show what you pre-configured, this platform supports iterative exploration. Ask "What happened last month?" and then naturally follow up with "And how does that compare to the same period last year?" The AI understands context and maintains the conversation flow.

AI Data Verification

This is SimplyPut's standout feature. You can verify every query the AI generates through a visual SQL editor before it executes. Data teams can audit the logic, business users can confirm the results match their expectations, and everyone gains confidence in the answers. One customer told us: "Other tools hallucinate and aren't usable, whereas I can verify the SQL in SimplyPut and trust the answers the tool delivers."

AI Insights and Dashboards

You can set up automated monitoring that surfaces trends, anomalies, and actionable recommendations without asking. SimplyPut analyzes your datasets continuously and alerts you to meaningful changes—whether it's a sudden drop in conversion rates or a emerging pattern in customer behavior. The system transforms conversations into formatted reports you can share with stakeholders.

Multi-Source Data Connections

You can connect to BigQuery, Snowflake, Amazon Redshift, Azure SQL, Databricks, PostgreSQL, Vertica, or upload CSV files. The AI automatically learns your data schema, so setup takes minutes rather than months. Most customers are up and running within a day.

Flexible Deployment Options

You can embed SimplyPut into your product via REST API, deploy a custom web application, or give your team access through Slack. The Slack integration is particularly popular—teams love asking data questions directly in the channels where they already work.

Automated Reporting

You can schedule reports to be delivered via email or Slack on a daily, weekly, or monthly basis. Set it up once, and your team gets consistent insights without manual follow-ups.

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Who Uses SimplyPut

SimplyPut works for two distinct but complementary use cases: embedding analytics into products for your customers, and democratizing data access within your organization. Here's how different teams apply the platform.

Customer Self-Service Analytics

If you build software that serves other businesses, your customers probably constantly ask for data reports. Rather than building analytics features from scratch or manually responding to data requests, companies embed SimplyPut into their products. Customers ask questions in natural language and get instant answers—reducing your support burden while improving customer satisfaction.

Marketing Teams

Marketers can ask "Which ad campaigns have the highest ROI?" and immediately see performance by device, channel, and creative. Instead of waiting days for analyst support, they get instant insights on email campaign performance, conversion rates by source, and attribution modeling. The result: faster campaign optimization and better spend allocation.

Product Managers

PMs use SimplyPut to understand user behavior at scale. Questions like "What's our trial-to-paid conversion rate by signup source?" or "Which features have the highest adoption?" become instantly answerable. Teams at companies like Kajabi use this to prioritize roadmap decisions with real data.

Customer Success Teams

CS teams monitor retention metrics, identify at-risk customers before they churn, and measure onboarding effectiveness. Rather than building custom dashboards for every metric, they ask questions ad-hoc and get answers that inform proactive retention strategies.

Sales Organizations

Sales leaders track pipeline health, regional performance, and win rates without filing tickets. "What's our average deal size by industry?" or "Which products are closing fastest?" become questions anyone can answer in seconds.

Finance and Operations

Finance teams query financial data directly—"What are our current burn rate trends?" or "Show me revenue by department for Q3"—without navigating complex spreadsheets or waiting for analyst reports.

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Technical Foundation You Can Trust

When evaluating AI analytics tools, technical robustness matters as much as feature richness. Here's what powers SimplyPut and why it matters for your data security.

Enterprise-Grade AI Models

SimplyPut uses leading large language models—Google Gemini, OpenAI ChatGPT, and Anthropic Claude—selected based on your security requirements and performance needs. The platform routes queries intelligently, selecting the optimal model for each use case while maintaining consistent accuracy.

Broad Data Source Compatibility

The platform connects natively to the data warehouses most enterprises already use: Google BigQuery, Snowflake, Amazon Redshift, Microsoft Azure SQL, Databricks, PostgreSQL, Vertica, and supports CSV uploads. This means you don't need to migrate data or create new pipelines—SimplyPut connects to what you have.

Security Certifications and Compliance

SimplyPut maintains SOC 2 Type II certification with annual audits, is GDPR compliant, and undergoes regular penetration testing. These aren't one-time checkboxes—they represent ongoing commitment to security standards enterprise buyers require. You can request a copy of our Data Processing Agreement (DPA) for vendor assessments.

Data Encryption and Privacy

Data is encrypted at rest using industry-standard encryption. Query results are stored in isolated, encrypted cloud storage for up to 30 days—after which they're automatically purged. For organizations with stricter requirements, SimplyPut supports local deployment options where data never leaves your infrastructure.

Privacy-First Architecture

SimplyPut's privacy commitments go beyond compliance. Your data is never used to train AI models—neither our proprietary models nor third-party LLMs. Our enterprise contracts with LLM providers explicitly prohibit them from using your data for any purpose. We don't store underlying customer data in production databases; we only store query results temporarily for your convenience.

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Ecosystem and Integration

SimplyPut doesn't exist in isolation—it integrates into your existing data stack and workflows, whether you're building analytics into a product or equipping internal teams.

Deployment Flexibility

You can access SimplyPut three ways: through our web application, via the Slack integration, or embedded in your product using REST APIs. Most customers start with one channel and expand. Companies embedding analytics for their customers typically use the API approach, while organizations democratizing internal access often begin with Slack or the web app.

Data Source Integration

Connecting your data takes minutes, not months. SimplyPut supports eight major data platforms, and the AI automatically learns your schema upon connection. There's no need to build custom connectors or maintain separate pipelines. This speed-to-value is why customers like Mammoth Brands and SpaceBack chose SimplyPut over solutions requiring extensive implementation cycles.

Partnership Model

SimplyPut offers a structured engagement process designed to prove value before scale:

• 4-8 week POC pilot: Full platform access to validate business outcomes in your environment
• Unlimited usage during POC: Test with real data, real users, real questions
• Comprehensive onboarding: Training and support to ensure successful deployment
• Custom integration assistance: Technical guidance tailored to your stack

Customer Success Resources

Every customer gets dedicated support during onboarding. Enterprise plans include a dedicated account manager, 24/7 priority support, custom SLAs, and advanced analytics on platform usage. Whether you're a startup moving fast or an enterprise with complex requirements, SimplyPut scales support to match.

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Frequently Asked Questions