Wilab
Wilab · AI-native data

Unlock thereal powerof your data

Two products, one mission — detect the anomalies hiding in your operations and turn every question into an answer you can ship to your team.

Pulse · Detection
Wilab Pulse architecture
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Two products

From silent signals
to guided actions.

Wilab Pulse listens to every stream — infrastructure, product, revenue — and tells you when something is off. Wilab Pulse Agent sits on top and lets anyone on your team interrogate that data in plain language, with charts and SQL attached.

Product 01 — Wilab Pulse Agent

Ask anything.
Get charts,
SQL, and answers.

Pulse Agent is a conversational analyst wired to your warehouse through Wilab MCP. It reasons over your data, writes the SQL, runs it, renders the visualization, and hands you a narrative you can forward to the rest of the team.

Live
Chat with your data
Powered by Wilab MCP
Top 10 Redistribution · Focus
01 / 03
Top 10 Redistribution Moves
Executed in 0ms · 10 rows
FromToRevenue
FLAGSHIP NYCBROOKLYN OUTLET$3084.45
MIAMI BEACHDENVER MILE$2964.66
CENTRAL DCSEATTLE CENTER$2929.30
PORTLAND PEARLAUSTIN SOUTH$2532.74
CENTRAL DCPHOENIX CORE$2385.34
ATLANTA EASTPHOENIX CORE$2318.09
HOUSTON WESTPHOENIX CORE$2299.14
BOSTON NORTHPHOENIX CORE$2231.90
CENTRAL DCCHICAGO LOOP$2169.83
CHICAGO LOOPDETROIT RIVER$2068.10
Ask anything about your data…
Show me a ranking of my top SKUs — sales, stock on hand, days-to-stockout and coverage status (low, normal, over, out).
Called sql_querysql
SELECT sku, total_sales_30d AS sales, total_stock AS stock
FROM sku_master_mv
WHERE total_sales_30d > 0 OR total_stock > 0
ORDER BY total_sales_30d DESC
LIMIT 10;
Top SKUs · Last 30 Days
Sales Distribution · Top 10
59,328 units
Total59.3k
SK-1024533.2%
SK-1026723.7%
SK-1103311.2%
SK-1120110.8%
SK-112898.3%
SK-120444.2%
SK-123103.7%
SK-125072.4%
Here is the ranking of your best-selling products over the last 30 days, with inventory levels and coverage status.

Key findings:
  • Leader is SK-10245 with 19,677 units sold. However, it's flagged Low Stock — current on-hand (3,614) only covers ~6 days of sales.
  • Runner-up SK-10267 holds a healthy pace with 14,051 units sold and sufficient coverage.
Give me a side-by-side bar chart so I can visually compare sales to stock.
Sales vs Stock · Top 15 SKUs
Sales vs Stock · Top 10
SalesStock
SK-10245
SK-10267
SK-11033
SK-11201
SK-11289
SK-12044
SK-12310
SK-12507
SK-12731
SK-13045
The contrast between sales and stock is immediately visible — SKU SK-11033 has stock far exceeding velocity (slow mover risk), while our leader SK-10245 runs the opposite pattern and is at imminent stockout risk.
Propose a redistribution plan — no new purchases. Which 10 store-to-store moves give me the highest revenue-at-risk reduction?
Top 10 Redistribution Moves
Top 10 Redistribution Moves
Executed in 0ms · 10 rows
FromToRevenue
FLAGSHIP NYCBROOKLYN OUTLET$3084.45
MIAMI BEACHDENVER MILE$2964.66
CENTRAL DCSEATTLE CENTER$2929.30
PORTLAND PEARLAUSTIN SOUTH$2532.74
CENTRAL DCPHOENIX CORE$2385.34
ATLANTA EASTPHOENIX CORE$2318.09
HOUSTON WESTPHOENIX CORE$2299.14
BOSTON NORTHPHOENIX CORE$2231.90
CENTRAL DCCHICAGO LOOP$2169.83
CHICAGO LOOPDETROIT RIVER$2068.10
To maximize reduction of lost-sales risk without new purchasing, I designed a redistribution plan. It identifies stores with zero stock in a critical size that sold well over the last 4 weeks, then matches them with donor stores holding excess inventory.
End of conversation
MCP-native
Hooked into your warehouse

Bring your own Postgres, Snowflake, BigQuery or ClickHouse. Wilab MCP exposes tables and views as typed tools the agent can reason over safely.

Grounded
Every answer is receipt-backed

Each chart or table is paired with the exact SQL that produced it — inspect, edit, re-run or promote to a production view in one click.

Action-ready
From insight to ticket in seconds

Ask for a redistribution plan, a supply decision, a cohort breakdown — receive a response you can ship to Slack, email or your ops tooling.

Product 02 — Wilab Pulse

Detect the
invisible.

Teams are drowning in operational signals, but insights arrive late and without context. Pulse standardizes ingestion, identifies deviations in real time, and delivers actionable alerts exactly where you need them.

Real-time intelligence

Turn raw operational and business signals into confident actions.

Our platform continuously evaluates incoming data and spots meaningful deviations without the noise of static thresholds.

  • Unified Ingestion: Seamlessly connect infrastructure, application, and business metrics.
  • Smart Normalization: Clean and enrich streams for consistent definitions across teams.
  • Correlated Events: Group related signals into higher-quality incidents.
Wilab Pulse Data Flow

Core capabilities

04 · features
Detection

Adaptive Anomaly Detection

Our models adapt to your data patterns automatically. By learning daily and weekly cycles, the platform reduces false positives and focuses on incidents that actually impact customers.

Anomaly Detection Timeline
Insights

Configurable Dashboards

Role-based views tailored for operations, engineering, or product stakeholders. Slice signals by service, region, or customer segment to pinpoint exactly where impact is concentrated.

Configurable Dashboards
Response

Smart Contextual Alerts

Reduce alert fatigue through event correlation. Related signals are grouped into higher-quality notifications delivered directly to Slack, Email, or your incident management tools.

Smart Alert Routing
Exploration

AI-Powered SQL Studio

A safe playground to explore sources and validate transformations. Use natural language to craft SQL queries, then promote them into production metrics with a single click.

AI-Powered SQL Studio
Start today

See your first signal
in under five minutes.

Start with a guided integration. We'll plug in one source, deploy your first agent, and route alerts to your team.