Autonomous data analysis for SMBs

Your AI data analyst
that works while you sleep.

Upload a CSV. Get daily insights, anomaly alerts, and recommendations — automatically. No dashboards to check. No queries to write. Syfter runs 13 analysis engines for you, every time.

Try Free — Upload Your First CSV → 3 free reports/month · No credit card · Results in <30s
13×
Analysis engines per upload
<30s
Time to full analysis report
0
SQL, dashboards, or setup required
$90k
Saved vs hiring a data analyst

13 engines. Zero setup. Works while you sleep.

What happens when you upload a CSV

One upload fires thirteen engines simultaneously.

Every analysis runs automatically. No configuration, no prompting, no waiting for someone to "build a report." Syfter processes your data the way a team of analysts would — except it takes 30 seconds, not 3 weeks.

📂

You upload a CSV

Sales data, customer list, financial records, analytics export — any structured data

🧹
Engine 01

Auto-Clean & Classify

Semantic column detection identifies what each column means. Outliers are flagged, formats normalized, and data types corrected — before any analysis begins.

Preprocessing
📋
Engine 02

Executive Summary

Top findings quantified by business impact. Color-coded severity levels. Concrete next actions — not a wall of numbers, but a brief a CFO would actually read.

Intelligence
🔍
Engine 03

Key Driver Analysis

Explains why each KPI changed, not just that it did. Drivers ranked by contribution. Understand which levers actually matter — and which are noise.

Root Cause
🚨
Engine 04

Anomaly Detection + Narratives

Statistical outlier detection with LLM-written root cause explanations. Recurrence badges flag patterns you've seen before. Never miss a signal in the noise again.

Alerts
🎯
Engine 05

Predictive Scoring

Auto-detects churn, performance, and risk columns. Scores every row 0–100%. Surfaces revenue at risk, high-potential leads, and accounts about to leave.

ML Scoring
👥
Engine 06

Customer Segmentation

K-means clustering groups your data into natural segments. Each segment gets an LLM-generated name, key traits, and tailored recommendations. Scatter plot included.

Segmentation
🔮
Engine 07

What-If Forecaster

30-day projections with confidence intervals, or interactive profit lever sliders. Change a variable, see what happens. Scenario planning in seconds, not spreadsheets.

Forecasting
Engine 08

LLM Data Enrichment

Sentiment analysis on text columns. Auto-categorization of free-form data. Seasonal and holiday flags appended automatically. Your raw data, massively upgraded.

Enrichment
🔗
Engine 09

Multi-Dataset Auto-Join

Upload 2–3 CSVs. Syfter auto-detects join keys across files and merges them with confidence scoring. Cross-source analysis without a single line of SQL.

Data Fusion
🔄
Engine 10

Simpson's Paradox Detection

Catches the dangerous case where aggregate trends reverse at the segment level. The statistical trap that hides in every dataset — and that most analysts miss entirely.

Unique to Syfter
💬
Engine 11

Natural Language Querying

"Show me revenue by region for Q3." Syfter translates plain English into structured analysis. Tables, charts, and direct answers — no query language required.

Conversational
📊
Engine 12

Correlation Heatmaps

Every variable pair tested for statistical correlation. Heatmap visualization surfaces hidden relationships. Know which metrics move together before you make the wrong bet.

Statistics
Engine 13

Data Quality Scoring

Per-column completeness, consistency, and accuracy scores. A quality ring at the top of every report tells you how much to trust the data — before you act on it. Missing values, duplicates, and format inconsistencies are all surfaced and explained.

Trust Layer
Competitor comparison

Nobody runs all 13 for you.

Other tools need you to prompt, configure, and query. Syfter fires every engine automatically — on a single upload, zero setup, while you sleep.

Analysis Engine Syfter Julius AI ChatGPT
+ Code
Tableau Power BI ThoughtSpot
Auto-Clean & Classify Partial Manual Partial
Executive Summary Manual Partial
Key Driver Analysis Manual Add-on
Anomaly Detection + Narratives Partial Manual Partial
Predictive Scoring Manual Add-on
Customer Segmentation Manual Partial
What-If Forecaster Manual Add-on Add-on
LLM Data Enrichment Partial Manual
Multi-Dataset Auto-Join Manual
Simpson's Paradox Detection
Natural Language Querying Add-on Partial
Correlation Heatmaps Partial Manual Partial
Data Quality Scoring Manual Partial
Native, automatic
Partial — requires setup or limited capability
Manual — requires prompting or configuration per use
— Not available
Not another dashboard

An analyst, not
a tool.

Dashboards wait for you to look at them. ChatGPT waits for you to prompt it. Tableau waits for someone to build the report.

Syfter runs the whole playbook automatically. Upload once, get every angle of your data — no configuration, no queries, no data team required.

Try it on your data →

Instant depth

13 engines run in parallel on every upload. What would take an analyst a week takes Syfter 30 seconds.

🧠

LLM-native analysis

Every output is written in plain English. Insights, root causes, and recommendations — not raw stats you have to interpret.

🔒

Zero setup required

No connectors to configure, no schemas to define, no credentials to manage. Just drop a CSV and go.

💰

Fraction of the cost

A data analyst costs $90K/year. Tableau starts at $840/user/year. Syfter costs less than your team's coffee budget.

📎

Persistent, shareable reports

Every analysis gets a permanent link. Share with your team, your board, your investors. Reports live forever.

Get started free

See what your
data is hiding.

Upload your first CSV and get a full enterprise-grade analysis report in under 30 seconds. No account required. No credit card. Just answers.