Ask Data. Get Insights. Instantly.
Prism Analyst is an AI data analytics platform for people who don't have a data team. Upload an Excel or CSV file, ask questions in plain English, and get verified, SQL-backed answers you can actually trust.
Total Revenue
$2.4M
Active Users
48.2K
Churn Rate
2.1%
NPS Score
72
Revenue Trend
Monthly performance ($K)
Active Sessions
Today by hour
Intelligence Without Complexity
AI-Driven Analytics
Machine learning models surface hidden patterns and anomalies in your data automatically, without a data scientist on staff.
Natural Language to SQL
Ask questions in plain English and get charts, tables, and summaries — Prism Analyst writes the SQL for you, no data engineering required.
Decision Support
AI recommendations backed by your data guide strategic decisions and highlight risks before they escalate.
Cost Reduction
Eliminate expensive data engineering pipelines and BI licenses. One platform handles ingestion, querying, and visualization.
No Pipelines Needed
Connect your data source and start querying — no ETL, no data warehouse setup, no infrastructure overhead.
From question to verified answer in four steps
Upload your data
Drop in a CSV or Excel file. Prism Analyst auto-detects your schema, column types, and dates — even in messy, real-world spreadsheets.
Ask in plain English
Type a question the way you'd ask a colleague — "which region grew fastest last quarter?" No SQL, no filters to configure, no dashboard to build first.
The agent turns your question into SQL
Behind the scenes, Prism Analyst handles the natural language to SQL translation — a purpose-built text-to-SQL step that writes a query against your data and runs it on a local engine.
Get a verified answer
You get the answer as a chart or table, with the exact SQL query attached so you can audit it or re-run it. Nothing is guessed — every number comes straight from your data.
Why Analysts Love Prism
Faster Decisions
Cut analytics lag from days to seconds with real-time AI processing.
Simplicity
No data science degree needed. If you can ask a question, you can get the answer.
Efficiency
Replace 3 tools with one: BI platform, data warehouse query, and AI advisor.
What is AI data analytics?
AI data analytics is a way of exploring business data by asking questions in plain language instead of building reports or writing queries. Rather than learning a BI tool or waiting on an analyst, you type a question — "which products drove revenue growth last quarter?" — and an AI system translates it into a database query, runs it, and returns a verified answer with a chart. Prism Analyst is an AI data analytics platform built on that idea, with one hard constraint: every number it gives you traces back to a SQL query you can read and re-run.
How is AI data analytics different from traditional BI?
Traditional business intelligence tools — Tableau, Power BI, Looker — are built around dashboards that someone configures in advance. They're powerful, but they answer the questions you already knew to ask, and they usually need a data analyst to set up and maintain. AI data analytics flips that: there's nothing to pre-build. You upload your data and start asking. Setup takes minutes instead of days, and you don't need to write SQL or own a BI license to get an answer. Think of it less as another dashboard and more as a conversational layer over your data.
Do I need SQL or a data team?
No. Prism Analyst is a self-service approach to analytics, designed for operators, founders, and ops managers who have data but no dedicated analyst. You ask in plain English; the system handles the natural language to SQL translation, runs the query, and shows you both the answer and the query behind it. This is what people mean by conversational analytics or natural language analytics: the interface is a conversation, and the mechanism underneath is real SQL against your real data.
Is my data sent to a language model?
This is the question we hear most, and the answer is no — not your raw data. Most AI analytics and AI business intelligence tools send your rows to a third-party model to interpret. Prism Analyst doesn't. Its Schema-Only Protocol means the language model only ever sees column names, data types, and aggregated results — never individual records or PII. The analysis itself runs on a local query engine, so your data stays in your environment. That's what makes a data intelligence platform safe to point at real business data, not just sample sets.
Start with the files you already have
Prism Analyst works as an Excel analytics tool today — upload a spreadsheet and start asking questions right away. More connectors are on the way. Here's exactly what's live now and what's coming.
Live now
Available todayCSV upload
LiveDrop in any .csv export and start querying it in seconds.
Excel (.xlsx / .xls)
LiveTurn spreadsheets into answers. LLM-guided header detection handles messy, real-world files — so you can automate the reporting you'd otherwise build by hand in Excel.
On the roadmap
Coming soonGoogle Sheets
Connect a sheet directly, no export step.
PostgreSQL & MySQL
Query your application databases in place.
Snowflake, BigQuery & Redshift
Point Prism Analyst at your cloud data warehouse.
Salesforce
Analyze CRM data alongside the rest of your business.
Not another dashboard. Not a chatbot with your data.
| Prism Analyst | Traditional BI | General-purpose AI | |
|---|---|---|---|
| Setup time | Minutes — upload a file and start asking | Days to weeks of configuration | Minutes, but per conversation |
| SQL required | None — 100% natural language | Yes, or an analyst who writes it | None |
| Data privacy | Raw data never leaves your environment | Data typically sent to a cloud vendor | Raw data uploaded to the model provider |
| Answer verification | Every answer cites the SQL that produced it | Dashboard shows numbers — trust the tool | Can make up numbers, no audit trail |
| Forecasting | Regression computed via SQL on your data | Requires setup and modeling | Estimated from model memory |
| Built for | Business owners and operators | BI developers and data analysts | General-purpose use |
Built for operators, not just analysts
Prism Analyst is a self-service analytics platform for the people closest to the business. It's a business analytics platform anyone can use — if you can ask a question, you can get the answer.
Founders & operators
"I can't get a simple answer from my data without bothering an analyst or waiting a week."
Ask the question yourself and get a verified answer in the time it takes to type it — no ticket, no dashboard request.
Ecommerce & ops teams
"I need to know why sales dropped last month, not just that they dropped."
Dig into revenue, inventory, and SKU performance conversationally — the right specialist agent handles trends, breakdowns, and forecasts.
Teams without an analyst
"We had an analyst but they left — now nobody can run reports."
Anyone on the team can self-serve the answers they need without learning SQL or a complex BI tool.
Privacy-first enterprises
"We can't use ChatGPT for data analysis — legal won't allow it."
The Schema-Only Protocol keeps raw data in your environment and gives you an auditable query behind every answer.
Frequently asked questions
Do I need to know SQL or have a data team to use Prism Analyst?+
No. You ask questions in plain English and Prism Analyst writes and runs the SQL for you. It's built for operators, founders, and ops managers, not just analysts. Every answer comes back with the query attached, so you can still check exactly how a number was produced.
How is this different from using ChatGPT or Claude for data analysis?+
General-purpose AI tools upload your raw data to a third-party model and can make up numbers. Prism Analyst never sends your raw rows to a language model — its Schema-Only Protocol shares only column names and aggregated results — and every answer is backed by a SQL query you can audit.
What happens to my data? Is it sent to a language model?+
Your raw data never leaves your environment. The analysis runs on a local query engine, and the language model only ever sees column names, data types, and aggregated results — never individual rows or PII. We call this the Schema-Only Protocol: it's a guarantee built into the architecture, not just a policy.
Can I trust the answers, or will the AI hallucinate numbers?+
Every answer is backed by SQL you can audit. The agents are built so they can't return a number without first running a query against your data, so you always see exactly where a figure came from and can re-run it yourself.
Can I analyze an Excel or CSV file with AI?+
Today you can upload CSV and Excel (.xlsx/.xls) files — Prism Analyst auto-detects the schema, column types, and dates, even in messy spreadsheets. Direct connectors for Google Sheets, PostgreSQL and MySQL, and cloud warehouses like Snowflake, BigQuery, and Redshift are on the roadmap.
We already have Tableau or Power BI — why add Prism Analyst?+
Those tools show you dashboards someone configured in advance. Prism Analyst answers the questions you haven't anticipated yet — ask anything, any time, and get a verified answer without waiting on a dashboard update or the data team.
How much does Prism Analyst cost?+
Pricing is available on request. Contact our team and we'll walk you through the options that fit how your team works.
We already have a data team — where does Prism Analyst fit?+
It handles the routine questions — trends, breakdowns, forecasts — so your analysts spend their time on strategic work instead of repetitive report requests.
Prism Analyst in Action
Ask your data anything. Get verified answers.
Upload a CSV or Excel file, ask a question in plain English, and see the SQL behind every answer. No data team, no pipelines, no black box.