AI Clearing vs Zig (formerly MarkovML)

AI Clearing connects design and BIM data, schedules, budgets, drone imagery, mobile inputs, and ground surveys into one construction intelligence system for large-scale infrastructure and renewable energy projects. Contractors and asset owners use its CORE platform to see what is actually happening on site instead of relying on scattered spreadsheets and field notes.

A proprietary computer vision engine trained on millions of construction objects compares as-built conditions against design plans. The platform delivers progress and quality reports within 6 to 24 hours of data capture and includes Clara, a conversational assistant that answers project questions from live field data.

Where most construction software tracks tasks in spreadsheets, AI Clearing is built around visual site evidence. It reconciles drone imagery, schedules, and BIM models automatically, which makes it better suited to utility-scale earthworks and renewables than generic project management tools that lack geospatial progress verification.

General contractors, EPC firms, and asset owners working on renewables, transmission, wind, highways, pipelines, railways, and civil earthworks use AI Clearing for progress tracking, quality control, billing verification, and portfolio oversight. Customers include PCL Solar, baywa-re, and Rosendin Renewables.

Zig, formerly MarkovML, gives sales teams a crew of AI assistants that research prospects, draft outreach, prep meetings, send follow-ups, and log CRM updates while reps approve the work. The markovml.com domain now points visitors to Zig.ai, where the product covers research, outreach, meetings, follow-up, CRM sync, and pipeline monitoring in one revenue operating system. It connects to CRMs, inboxes, calendars, and outreach tools your team already uses.

Most sales stacks split those jobs across Apollo, Gong, Salesloft, and a notetaker that reps have to open manually. Zig runs in the background through email, Slack, phone, and the ZigMobile app, surfacing approval cards before messages send and claiming 60+ hours back per rep each month with 95% CRM accuracy. Pricing is outcome-based with unlimited users, not per-seat licenses, and execution pools carry forward instead of expiring unused.

Starter Team runs $799 per month on a 12-month agreement with 3,000 ZigLead enrichment credits and 25,000 AI outbound emails. Growth Team adds higher volume and a dedicated customer success engineer at $1,199 per month. Enterprise teams get custom capacity, SOC 2 Type II, SSO, and forward-deployed engineering through the Enterprise Forward Deployment program.