Last updated 08-10-2026
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Zig (formerly MarkovML)
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.
Unlimited users on every plan with outcome-based pricing instead of per-seat licenses
Starter Team includes 3,000 ZigLead enrichment credits and 25,000 AI outbound emails for $799 per month
ZigMobile scans badges or business cards and returns LinkedIn, email, phone, and company research instantly
Multi-agent workflows cover research, outreach, meetings, follow-up, CRM sync, and pipeline monitoring
Zigscribe provides unlimited meeting prep and transcription on paid team plans
Integrates with 30+ CRMs plus inbox, calendar, and outreach platforms without rip-and-replace migration
Covers research through pipeline monitoring in one platform instead of juggling separate point tools
Unlimited users and outcome-based pricing avoid per-seat penalties as adoption grows
Reps approve outbound and CRM actions through familiar email, Slack, and mobile surfaces
ZigMobile captures field leads from badges or business cards with instant enrichment
Enterprise plan includes SOC 2 Type II, SSO, and forward-deployed engineering support
Starter and Growth plans require 12-month agreements starting at $799 per month
AI Agent Inbound Engine costs an extra $499 per month on Starter or $249 on Growth
Enterprise-grade deployment and custom capacity need a sales conversation rather than self-serve checkout
What happened to MarkovML?
MarkovML rebranded to Zig. The markovml.com site now directs visitors to Zig.ai, where the product is an AI revenue operating system for sales teams rather than the earlier no-code text dataset analysis tool.
Does Zig replace Salesforce or Gong?
No. Zig connects to CRMs, inboxes, calendars, and outreach platforms your team already uses. It reads existing data, drafts work in the background, and logs results back without requiring a full tool migration.
How does Zig pricing work?
Zig charges a platform fee plus execution usage, not per seat. Starter Team is $799 per month on a 12-month agreement, Growth Team is $1,199 per month, and Enterprise pricing is custom with SOC 2 Type II and SSO.
Can sales reps use Zig on mobile?
Yes. The ZigMobile app on iOS and Android lets reps scan badges, send voice commands, approve outreach, and update deals from the field while staying synced with the desktop platform.
What does Zig automate for reps?
Zig assistants research prospects, draft and schedule outbound messages, prep meetings, transcribe calls, send follow-ups, and sync CRM fields. Complex actions wait for a one-tap rep approval before sending.
How fast does Zig start producing output?
Zig says most reps see a lead list, morning brief, or drafted follow-up within 24 hours of connecting their CRM. The system compounds context from calls, emails, and deals over subsequent months.
What is Zig's Enterprise Forward Deployment?
Enterprise Forward Deployment embeds a Zig engineer in your account to unify fragmented revenue data into a knowledge graph, prove measurable impact, and scale AI agents across your GTM organization before a long-term contract.