About Ward

We scaled 400+ retail locations.
We know what goes unnoticed.

Ward came out of running LeanBox. It came out of every problem we found too late.

Read-only to start · your LLM keys, no lock-in · SOC 2 Type II underway

We lived the problem before we built the solution.

LeanBox was a micromarket retailer: unmanned locations inside offices, hospitals, and universities. We scaled it past 400 locations and 8 figures.

01
It broke quietly

A location slips. Spoilage creeps up. Nobody catches it for weeks.

02
Found too late

We had the data. By the time anyone spotted it, the damage was done.

03
We patched it

Dashboards, alerts, spreadsheets wired to APIs. It worked, barely.

04
There had to be more

Real-time visibility for operators, without building a data team from scratch.

Ward came out of every problem we found too late.

We custom-built the entire stack. Every piece of it.

No off-the-shelf tool fit unmanned micromarket retail at our scale. So we built it all.

400+locations operated
8-figannual revenue
5custom-built systems
Custom ERP

The system of record that ran inventory and replenishment.

Self-service POS

Kiosk checkout capturing every transaction at unmanned locations.

Web & mobile ordering

Inventory and ordering unified on the same data.

Pipelines & ETL

Five systems wired together into one source of truth.

Anomaly detection

Catching drift and alerting before it hit the shelf.

It took an engineering team most operators cannot afford. Ward is that team’s work, packaged.

AI recommends. You decide.

Agents catch the problem and propose the fix. A named person decides whether it runs. Lane assist, not autopilot.

Nothing writes back unreviewed

Ward drafts the change. Someone on your side approves it by name before it reaches SAP, Relex, or Oracle.

You keep your keys and your data

Model-agnostic, on your API keys, your data inside your boundary. Read-only until you turn a write on.

You can see all of it

Every answer cites the SQL it ran. Detection, cause, playbook, write-back, and approver stream to your SIEM.

The breakthroughs already happened in the labs. The hard part is making them run in a 200-store operation where the ERP dates to 2014 and the POS still exports CSV.

Serial founders. 30+ years building and running retail systems.

The same team behind LeanBox and askotter.ai. Operators who became data engineers who became platform builders.

Brian C.
CEO / Founder

Scaled LeanBox from concept to 400+ locations and 8 figures. Built the ERP, POS, and data stack that became the blueprint for Ward.

Chad B.
Chad B.
Chief Product Officer

Ex-YC and Meta. Built and scaled LeanBox’s product suite. Turns operator pain points into interfaces that get used.

Edward C.
Chief Architect

Ex-YC and Amazon. Designed the pipelines that process millions of retail transactions at scale.

Advisors who have done this before.

Brian L.
Strategic Advisor

Investor and operator with multiple exits across consumer and technology. Advises on business development and market strategy.

Retail is the hardest observability problem nobody is solving.

Engineers have had Datadog, PagerDuty, and Grafana for years. Retail got dashboards.

A server goes down, someone gets paged in minutes. A location drops 20% and it sits in a spreadsheet for weeks.

Stockout prediction, shrink detection, demand forecasting, price optimization. Every location, every SKU, every day.

minutesto page an engineer
weeksbefore retail notices
24/7every location, every SKU

POS, Transactions & Inventory

Every sale, refund, and basket on one view with stock levels, spoilage, and fill rates. Anomalies caught before they hit the shelf.

Finance, Margin & Operations

Per-store P&L, COGS drift, and margin erosion flagged as they happen, not at month-end close.

We built Ward because we kept finding problems too late.

The shrinkage we couldn’t attribute. The promos we couldn’t score. See what Ward finds in your data.

Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info