What we're building

Pipeline tracking and follow-up for inbound and outbound motion, in one place.

Problem

Leads arrive from a dozen channels and go cold in the gap between capture and first reply. The real pipeline state usually lives in someone’s memory or a spreadsheet nobody else opens.

Approach

One capture path for every source, stage transitions recorded as timestamped events rather than an overwritten status field, and follow-up prompts driven by what actually changed on a lead instead of a fixed cadence.

Trade tracking and options strategy tooling across equity and derivative positions.

Problem

Positions and option legs are easy to record and hard to reconstruct. The P&L number is right until someone asks how it got there — then the running totals and the trade history disagree.

Approach

Trades are append-only events and positions are derived from them, so exposure, realised P&L, and leg-level history are all queries against one ledger rather than three separately maintained numbers.

Rank tracking, content audits, and technical crawl health in one dashboard.

Problem

Rank, content quality, and technical health are typically three tools that disagree with each other, and none of them can tell you what changed the week a page dropped.

Approach

Scheduled crawl and rank snapshots stored as time series rather than a current-state table, so a ranking change can be lined up against the deploy or content edit that preceded it.

Controls, evidence, and findings on one trail — attributable and immutable.

Problem

Preparing for a review usually means reconstructing months of history out of email threads and shared drives, and hoping the version you found is the version that was approved.

Approach

An append-only evidence store mapped to a control library, with findings that carry their own lifecycle — so preparing for a review is running a report, not an excavation.

Stock, consumables, and procurement tracking built for property operations.

Problem

Property stock — linen, consumables, F&B, maintenance parts — gets counted late, ordered on instinct, and reconciled at month end, by which point the variance is unexplainable.

Approach

Every movement is an event against a location, so par levels, consumption rates, and reorder points are derived from real usage instead of estimated from last quarter.

Demand and trend forecasting productionised behind a plain reporting layer.

Problem

A forecast nobody can interrogate is a number nobody trusts. Models also drift quietly once they leave the notebook, and the first sign is usually a decision made on a stale prediction.

Approach

Versioned models behind a plain reporting layer, with backtests and drift checks on a schedule — so every forecast ships with its own track record attached.