Ingest
Connect directly to your Snowflake, BigQuery, or Redshift warehouse. Sonus auto-discovers your schema and ingests raw event streams without moving a single byte of data.
Core Engine
Signal Detection —
Signal Detection —
Find the Metric That Actually Matters
Stop chasing noise. Sonus isolates statistically significant anomalies in real-time, so you can focus on the metrics that drive revenue and protect your bottom line.
How It Works
From raw data to actionable signal in three steps
Score
Our proprietary algorithm applies statistical models to detect anomalies, seasonality, and trend shifts. It filters out "holiday noise" and server maintenance events to surface only the relevant signals.
Surface
Receive a concise narrative explaining the anomaly, the root cause, and the recommended action. Share these insights instantly with stakeholders via Slack, email, or the Sonus dashboard.
The Methodology
Why Sonus doesn't just flag numbers — it finds meaning
Most anomaly detection tools rely on simple thresholding (e.g., "if sales drop below $10k, alert"). This approach generates thousands of false positives during normal business fluctuations. Sonus uses a Relevance Algorithm that understands your business context.
By analyzing historical baselines, seasonality patterns, and external factors, Sonus calculates a Signal Score for every metric. Only anomalies with a high relevance score are surfaced, ensuring your team spends time on critical issues rather than debugging the data pipeline.
Real-World Scenarios
See how Sonus catches what others miss
E-Commerce Revenue Dip
The Noise: A 5% drop in conversion rate on a Tuesday afternoon.
The Sonus Signal: Sonus detects a statistically significant drop in conversion rate specifically for mobile users on the checkout page, correlating with a recent CSS update. It alerts the engineering team immediately, preventing a 15% revenue loss.
SaaS Churn Spike
The Noise: A spike in cancellations on a Friday evening.
The Sonus Signal: Sonus identifies a churn pattern linked to a specific feature release from two weeks prior. It surfaces a narrative suggesting the new feature introduced a bug that is driving users away, prompting a targeted retention campaign.
Supply Chain Delay
The Noise: A delay in shipping lane "East Coast-1".
The Sonus Signal: Sonus monitors inventory levels against projected demand. It predicts a stockout for a high-margin SKU in 48 hours based on the shipping delay, allowing procurement to reroute stock before the customer even notices.
The Difference
Traditional BI vs. Sonus Signal View
Traditional BI
You stare at a 20-tab dashboard. You see 50 metrics moving. You don't know which one to investigate first.
> Querying 50 tables...
> Rendering charts...
> No anomalies detected.
> (False negatives)
> Rendering charts...
> No anomalies detected.
> (False negatives)
Sonus Signal View
You receive one notification: "Conversion rate dropped 12% on mobile due to CSS update. Action required."
> Signal Detected: HIGH
> Impact: Revenue
> Root Cause: CSS Update
> Action: Rollback CSS
> Impact: Revenue
> Root Cause: CSS Update
> Action: Rollback CSS
"Before Sonus, our team spent hours manually checking dashboards every morning. Now, Sonus surfaces the one anomaly that actually matters, saving us roughly 10 hours a week. It’s like having a senior analyst sitting next to us."— Sarah Jenkins, Head of Analytics at FinTech Global
Related Features
Go deeper with the rest of the Sonus suite
Signal detection is just the beginning. Explore how Sonus helps you communicate and act on your data.
Get Started
Stop guessing.
Stop guessing.
Start listening.
See Sonus run against a dataset that looks like yours. No slides, no deck — just signal.