Zig.ai
Also known as: Zig, Zig AI
AI native sales execution platform that orchestrates and completes revenue workflows across the stack with living memory and outcome based billing.
Zig.ai is an AI native sales execution platform that orchestrates and completes revenue operations across the sales stack. Rather than surfacing tasks for a rep to remember, Zig embeds AI agents into revenue workflows that carry follow ups, CRM updates, meeting prep, lead routing, prospecting, and outbound sequencing forward autonomously across the CRM, inbox, and outreach tools a team already uses. It builds a living memory in which every conversation, deal movement, and signal compounds into sharper next actions, captures and analyzes calls through ZigScribe, detects buyer intent from real time signals, and surfaces context loaded action cards. Complex actions require approval while simple ones just happen, and every execution is visible, reviewable, and reversible with verification through system logs. Zig replaces per seat licensing with outcome based billing, charging only when agents complete verified work.
Vendor details
Canonical URL
https://zig.ai
Category
GTM / revenue agent
Funding status
Seed round of 3 million dollars led by super{set}, a data and AI focused venture studio in San Francisco, per Business Wire and Morningstar. Founded by Steve Ancheta (CEO), with co founder Lavish Mantri as head of engineering. Officially launched January 2026, headquartered in San Francisco.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects the CRM, inbox, outreach tools, proprietary documents, and other SaaS platforms into one coordinated system, and accepts commands over voice, Slack, text, and email.
Sources & related URLs
Capability coverage
9.5 / 14 capabilities · 68%
| Integrations & Tool CallingConnects the CRM, inbox, outreach tools, proprietary documents, and other SaaS platforms into one coordinated system and acts across the entire sales stack per zig.ai/platform. | Full |
|---|---|
| Workflow OrchestrationZig orchestrates activity across the entire sales stack and completes workflows such as follow ups, CRM updates, meeting prep, lead routing, and outbound sequencing autonomously, positioning itself as the operating system for the sales motion per zig.ai/platform. | Full |
| Knowledge Grounding & RAGZig integrates with existing data including CRM, proprietary documents, and SaaS platforms, and an initial agent analyzes historical data to build a foundational intelligence layer that grounds actions per the Business Wire launch. | Full |
| Human Oversight & GuardrailsComplex actions require approval while simple ones just happen, and every execution is visible, reviewable, and reversible, so the rep approves rather than executes per zig.ai. | Full |
| Security, Identity & GovernancePositioned as enterprise ready with executions verified through system logs and reversible actions, but no named infosec certification was retrieved this session. | Partial |
| Observability & AuditabilityEvery execution is visible, reviewable, reversible, and verified through system logs, and Zig gives leaders visibility into deal movement and team execution without extra reporting work per zig.ai and the Business Wire launch. | Full |
| Memory & State PersistenceZig builds a living memory in which every conversation, deal movement, and signal compounds into organizational memory and sharper next actions, remembering every call, deal, and signal per zig.ai and the launch coverage. | Full |
| Deployment & Data ResidencyDelivered as a cloud SaaS platform; no self hosted or data residency option was retrieved this session. | Partial |
| Prebuilt Agents / Templates / PacksShips an AI agent team including ZigScribe and agents for lead generation, prospect research, qualification, and outreach, a set of prebuilt agents rather than a broad self serve catalog per the Demand Gen Report coverage. | Partial |
| Triggers & Channel CoverageZig detects buyer intent from real time signals such as proposal views, email opens, and meeting sentiment, listens during calls, and accepts commands across voice, Slack, text, and email per zig.ai and the mobile app blog. | Full |
| Model Flexibility & RoutingDescribed as AI infrastructure at its core, but no customer selectable model or model routing was documented this session. | Unable to verify |
| APIs / SDKs / MCP ExtensibilityPlugs into the existing sales stack through integrations, implying an integration surface, but no public developer API, SDK, or MCP endpoint was documented this session. | Partial |
| Testing, Debugging & OptimizationZig learns from actual deals, wins, and buyers and gets sharper each month, analyzing closed won patterns and verifying outcomes through system logs, a compounding learning and outcome verification loop rather than a formal agent evaluation framework. | Partial |
| Browser / Computer-useNo browser driving or computer use capability; Zig executes through integrations and communication channels rather than operating a browser or GUI. | Unable to verify |
Pricing
$0.25 per execution (100 included); Growth $2,250/mo
Cost watchouts
Cost scales directly with the number of executions the agents complete, so high volume sales motions can run well above the Growth tier; executions are the billed unit, not seats.
Variable cost rationale
Pure outcome and execution based billing means cost scales directly with the volume of verified tasks the agents complete, with unused executions carrying forward.
Sales call required
Mixed (some tiers require a call)
Key ambiguities
Executions are the unit of billing; what counts as one execution across complex multi step tasks determines effective cost.
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