Customer intake
Capture the pest, property, history, urgency, access constraints, and service expectations up front.
Industry Solutions / Pest Control
Give every route and technician a smarter operating system.
We build internal AI products that connect customer intake, inspection findings, treatment recommendations, route planning, technician follow-up, and compliance documentation.
From customer concern to documented treatment
- 01Customer intake
- 02Inspection-to-recommendation
- 03Route & schedule
- 04Service follow-up
Where work gets stuck
Critical workflows deserve more than another generic tool.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Inspection-to-recommendation
Turn structured findings and photos into a consistent treatment recommendation for review.
Route & schedule
Balance geography, technician capability, recurring work, customer windows, and priority calls.
Service follow-up
Generate clear customer documentation, compliance records, recommendations, and the next action.
What we can build
One internal product, assembled around your operation.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
Built withPresidents, COOs, and field operations leaders
Service intake agent
Qualifies requests and prepares the office and technician before the visit.
Route decision engine
Continuously prioritizes schedules as cancellations, callbacks, and urgent work arrive.
Technician copilot
Property context, inspection prompts, treatment records, and recommendations in the field.
Commercial compliance hub
Site histories, service logs, documentation, and account-level exceptions in one product.
Evidence, not promises
AI can create measurable leverage when the workflow fits.
These are study results, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
more issues resolved per hour
Average result in a real-world deployment across 5,179 customer-support agents; less-experienced workers saw gains up to 34%.
NBER field study ↗faster on suitable tasks
A Harvard/BCG field experiment also found more than 40% higher quality on knowledge-work tasks inside the AI capability frontier.
Harvard Business School / BCG ↗higher labor productivity
Average firm-level effect in a 2026 BIS/EIB study of more than 12,000 non-financial firms adopting AI with complementary investment.
BIS / EIB study ↗The scorecard
Measure the product against operating outcomes.
- More productive routes
- More consistent recommendations
- Faster customer follow-up
More Industry Solutions
Built for other operationally complex teams.
Start small. Prove value. Expand.
Show us one expensive workflow.
We’ll show you the internal AI product that can simplify it.
Start the conversation →