Atmo AI vs Zig (formerly MarkovML)

Atmo AI builds deep learning weather forecasting systems for governments, militaries, and large enterprises that need sharper predictions than legacy numerical models deliver. The company ingests real-time data from satellites, ground stations, radars, and ocean buoys, then runs neural network models that cover nowcasts out to 14-day medium-range outlooks. It sits in the data science stack for organizations where a missed storm or wind shift has operational consequences, not just a ruined picnic.

Where traditional numerical weather prediction leans on supercomputers and fixed grid resolutions, Atmo claims forecasts up to 40,000 times faster and up to 50% more accurate on major variables, with grids as fine as 1 km by 1 km for microclimate detail. That resolution gap matters for launch sites, island nations, and defense bases where a county-level forecast hides the local wind shear. The trade-off is access: Atmo sells custom deployments, not a consumer app you open for tomorrow's rain.

National weather agencies, defense commands, and enterprise risk teams use Atmo when they need site-specific forecasts backed by live production contracts. Deployments cited on Atmo's site include the U.S. Air Force, U.S. Navy, the Philippines national government, Cape Canaveral launch operations, and Tuvalu's national forecasting rollout.

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.