Real Businesses.Real Results.

The Problem

A demolition and site-clearing contractor was spending hours every week manually checking government and municipal procurement portals — missing opportunities, and writing proposals from scratch under tight deadlines. Revenue was limited not by capacity, but by bandwidth.

What We Engineered

We built an end-to-end bid intelligence system. It monitors multiple Alberta government and municipal procurement sources around the clock. When a relevant opportunity is posted, it scores the bid automatically against the company's specific service lines, equipment, crew capacity, and geographic range — filtering out irrelevant bids before anyone sees them. Only real opportunities land in front of the team. The system then calculates an estimated cost and bid price for each opportunity using the company's actual equipment rates and target margin before a human has touched it. The operator opens a bid, sees crew days, equipment mix, and recommended price already calculated, and makes a go or no-go decision in under a minute. On approval, a complete, professionally written bid submission is generated and ready for review. The operator edits, signs off, and the system handles submission back to the procurement portal.

The Problem

This build covers one job specifically: spring cleanup and yard removal. Spring is the crunch — quote requests pile up faster than anyone can type, and the team was doing those cleanup quotes by hand. Mental math, calls back to the office, inconsistent pricing. Quotes varied by who was on-site, margins were unpredictable, and staff constantly interrupted the office mid-estimate to get numbers confirmed.

What We Engineered

We built a password-protected internal quoting tool for field staff. Staff enter a client address, trace the yard on a live satellite map, and the tool calculates square footage automatically. Sliders capture property conditions, add-ons, and discounts — and a live quote total updates in real time. When the quote is ready, one tap copies a formatted, client-ready version. A Jobber integration pushes completed quotes directly into their CRM. Pricing lives in the tool, not in anyone's head.

The Problem

Commercial snow removal is sold before the snow falls. A property manager wants a seasonal number in the fall, and the contractor has to commit to it without knowing how often the crew will be out — on sites split by islands and frontages, where the parking lot and the sidewalks are cleared by different crews with different equipment.

What We Engineered

We built a staff-only quoting tool for commercial winter work. Staff outline the parking lot and the sidewalks as separate zones on a satellite map, or let AI suggest a starting outline. A seasonal contract is priced from five winters of measured Edmonton snowfall — how often a storm reaches the trigger depth and how many crew-hours a winter holds — and billed monthly. A one-off call is priced by the hour, scaled by how heavy the snowfall was. Every quote lands in Jobber as a draft.