Lead scoring + lifecycle automation for a SaaS team
Replaced a rules-based MQL flag with a calibrated model on 18 months of CRM data. Routed scored leads into a triggered onboarding sequence.
- Trial → paid
- +34%
- Sales hours saved
- 12/wk
AI technical services
We partner with businesses — from SaaS teams to local contractors and field-service shops — to ship AI that drives revenue growth, lifts organic search, and removes operational drag. No buzzwords. Working systems, on your stack, measured against your numbers.
Engagements are scoped tight: a clear problem, a measurable outcome, and a deliverable that lives in your repo, not a slide deck.
Start a conversationFour ways we put applied AI to work — each scoped around a number you're trying to move.
Lead triage and ROI scoring, lifecycle automation, churn prediction, and conversion-path AI tuned to your funnel.
Programmatic SEO, semantic search, and AI-assisted editorial workflows that compound month over month.
Custom copilots, RAG over your knowledge base, and agentic workflows that cut operational drag.
From "we have a CSV" to production ML — pipelines, evaluation harnesses, and honest dashboards.
What we ship
A few shapes our work has taken. Every engagement starts with a measurable outcome and ends with code in your repo.
Replaced a rules-based MQL flag with a calibrated model on 18 months of CRM data. Routed scored leads into a triggered onboarding sequence.
Built a templating + AI-assisted editorial pipeline that publishes location- and category-specific pages, each grounded in first-party inventory data.
Hybrid search + grounded answers + escalation routing. Shipped with an evaluation harness so the team can measure regression on every model swap.
Engagement shapes shown are representative of the work we scope. Numbers reflect realistic outcomes from comparable builds.