Systems built end to end, then run in production.

One webhook catches every submission from the site. A scoring step grades each lead on service type, budget signal and how complete the submission is, then writes it to the CRM with the score attached.

The lead gets a branded reply in under thirty seconds. The team gets an alert with the score already applied, so nobody triages from a blank slate. Duplicate protection on every write means retries never create a second record.

Approving a lead fires the whole sequence. The record moves to the client roster with every field carried across, a personalised welcome goes out, and the team gets an internal brief with the context they need for the first call.

The source row is marked complete on the way out, so the workflow is safe to re-run and nothing fires twice.

A chatbot grounded in the company's own knowledge base, running on a self-hosted inference backend instead of a metered vendor endpoint. It holds conversation memory across a session, so it remembers what the visitor told it two messages ago.

It answers from real content and says so when it does not know. When a question needs a person, it flags the conversation and emails the team before it replies to the visitor.

A multi-tenant knowledge base that people and agents both write to. Team members edit in a normal notes app on their own machines. Changes sync through version control to a server where the agent reads and writes the same files through a filesystem protocol layer.

The agent dashboard runs as a managed service on the box, reachable over a private network rather than the public internet. Sync runs both directions on a two minute cycle.

Rent moves straight from the tenant to the property owner. The platform routes and records every transaction but never holds a dollar, which removes an entire category of regulatory and liability exposure from the broker.

Around that sits maintenance intake with vendor assignment, state-specific compliance deadlines tracked per property, and an owner portal that reports performance against live market data. The referring agent is a first-class entity in the data model, so whoever brought the owner in stays attached to the relationship.

A full SaaS product built end to end. Users upload a video or connect a feed. The platform transcribes it, identifies the strongest moments, cuts the clips and writes platform-specific copy for a dozen channels.

Long renders run through a background job queue so they never block the interface, and credits are metered per operation rather than per plan.

A self-hosted service that tracks the speaker frame by frame and moves the crop window to follow them, with smoothing on both the tracker and the crop so the frame never jitters or snaps.

It compares frames to find natural cut points and burns styled captions from the transcript, including word-by-word highlighting. Packaged as its own container and called over HTTP from the main app.

Detection models running locally on the customer's own hardware instead of a hosted endpoint, so footage never leaves the premises.

Includes a georeferenced augmented reality overlay that renders buried utility lines in position on a live camera feed, plus sensor selection and hardware specification for multi-sensor detection rigs.