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Zig.ai

Also known as: Zig AI

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Entry priceStarter Team $799 a month and Growth Team $1,199 a month, each on a 12 month agreement with unlimited users · Enterprise custom on a 2 to 3 year agreement · every plan booked through a meetingFull pricing detail

AI native sales execution platform whose team of agents researches buyers, preps meetings, drafts outreach and follow ups and updates the CRM, with reps approving before anything goes out.

Zig.ai is an AI native sales execution platform that takes on the admin work around a sales team. Every workflow runs on a team of AI agents built for a specific job, named Research, Outreach, Meetings, Follow-Up, CRM Sync and Pipeline, working across the CRM, inbox, calendar, Slack and outreach tools a team already uses. Zig researches accounts and buyers, prepares buyer context and talking points before each conversation, records and transcribes meetings, drafts outreach and follow ups, and keeps the CRM current, and reps can direct it through email, Slack or the phone app.

Reps stay in control: Zig drafts, prepares and proposes, and reps approve before anything goes out, with complex actions requiring approval while simple ones just happen, and every execution visible, reviewable and reversible. Plans are priced per team rather than per seat, with unlimited users and included pools of enrichment credits, AI emails and dialer minutes, and the Enterprise page offers hosting in Zig's cloud or the customer's own on AWS, Azure or Google Cloud.

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. 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

Sales execution and workflow completionCRM hygiene and meeting prepProspecting, research, and outreachDeal risk monitoring and next best actions

Target customers

B2B sales leaders and teamsHigh volume sales organizationsField and mobile first sales reps

Deployment options

SaaScustomer cloud

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.

Agentic Index coverage score

8.5 / 14 capabilities · 61%

Integrations & Tool Calling Full

The agents act in named systems. The platform page says Zig "Connects to your CRM, inbox, calendar, and Slack in minutes" and names Salesforce, Gong and Apollo, with sending through "Gmail, Outlook, or your existing outreach tools"; a CRM Sync agent keeps the CRM current, and the Enterprise page adds CRM, email, marketing, ERP and document sources.

The pricing page includes a dialer, AI outbound email and AI LinkedIn outreach on every plan. No integration catalog or connector documentation is published, and connectors Zig listed earlier (HubSpot, Pipedrive, Microsoft Teams, Instantly, HeyReach) no longer appear on the pages. WhatsApp and SMS outreach are sold as a Multi-Channel add on for every Team plan.

Sourcezig.ai/platform, zig.ai/enterprise and zig.ai/pricingread 2026-10-01

Workflow Orchestration Full

Multiple agents share the work, each with its own job. The platform page says "Every workflow runs on a team of AI agents built for a specific job" and names six: Research, Outreach, Meetings, Follow-Up, CRM Sync and Pipeline, covering research, outreach, meeting prep, follow up, CRM updates and pipeline work, with Zig running in the background so nothing falls through. The pages describe the team, not how handoffs between agents are configured or changed.

Sourcezig.ai/platform and zig.ai/how-it-worksread 2026-10-01

Knowledge Grounding & RAG Full

Zig 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.

Sourcezig.ai/platformread 2026-10-01

Human Oversight & Guardrails Full

A person approves before an action commits, stated as a product rule. The platform and how it works pages say "Your reps stay in control": Zig drafts, prepares and proposes, and "your reps approve before anything goes out". The home page states the tiering, "Complex actions require approval. Simple ones just happen.", and a customer quote shows the mechanism, an approval card waiting for the rep and approved with one tap.

Sourcezig.ai, zig.ai/platform and zig.ai/how-it-worksread 2026-10-01

Security, Identity & Governance Partial

The pricing page lists SOC 2 Type II compliance on the Enterprise plan, and the site footer links a hosted trust portal at trust.zig.ai under the label Security. No customer-facing access surface appears on the home, platform, how it works, Enterprise or pricing pages; no single sign-on, role-based access control or admin permission model is named, and the Enterprise page's "Governed" is a word without a control behind it. The trust portal's contents are not described on the public pages.

Sourcezig.ai/pricing, zig.ai/enterprise and trust.zig.airead 2026-10-01

Observability & Auditability Full

Every execution is visible, reviewable and reversible, Zig states, and reversibility implies a per-action record: undoing an action requires knowing what the agent changed and where. No run history interface, decision trace or reasoning record is documented, so the published record covers what the agent did rather than why, and the verification through system logs that the launch announcement describes may draw on the systems the agent acted in rather than Zig's own trail.

Sourcezig.ai and the March 2026 launch announcementread 2026-09-01

Memory & State Persistence Not documented

No memory construct is published: the platform page no longer describes a living memory layer and carries no memory language. What remains is one learning sentence on the home page, "Every call, email, and deal adds to what your assistants know about your team, your buyers, and what closes", with the how it works page adding that at month 12 the assistants know the pipeline better than a new hire; that is a learning claim with no mechanism behind it. Buyer context assembled for meeting prep comes from the CRM and connected tools, the business record rather than agent memory.

Sourcezig.ai, zig.ai/platform and zig.ai/how-it-worksread 2026-10-01

Deployment & Data Residency Full

The customer chooses where Zig runs. Under Flexible Hosting the Enterprise page says "Host Zig in our cloud or yours" and names AWS, Azure and Google Cloud, "public or private", which puts a deployment in the buyer's own cloud account on any of three providers alongside the vendor hosted service. The option is stated in one line on the Enterprise page, with no documentation of how a customer cloud deployment is set up, and no region list is published for the hosted service.

Sourcezig.ai/enterpriseread 2026-10-01

Prebuilt Agents / Templates / Packs Partial

Zig names agent roles inside one team and sells one add-on agent. The platform and how it works pages say every workflow runs on a team of AI agents built for a specific job, Research, Outreach, Meetings, Follow-Up, CRM Sync and Pipeline, and the pricing page sells an AI Agent Inbound Engine as an add-on on Starter and Growth and includes it on Enterprise.

The six roles work together on every workflow and the customer never selects among them, the Inbound Engine is one selectable agent rather than a set, and plan inclusions such as meeting prep, transcription and LinkedIn outreach are entitlements of one product. ZigScribe, a separately launched conversation agent, no longer appears on the pages, and the agents are described on marketing pages without documentation.

Sourcezig.ai/platform, zig.ai/how-it-works and zig.ai/pricingread 2026-10-01

Triggers & Channel Coverage Full

Zig 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.

Sourcezig.ai/platformread 2026-10-01

Model Flexibility & Routing Not documented

Zig describes itself as AI infrastructure at its core, but no customer-selectable model or model routing is documented.

Sourcezig.ai/platformread 2026-10-01

APIs / SDKs / MCP Extensibility Not documented

Nothing callable from outside is documented. No API reference, endpoint, authentication scheme, SDK or MCP server appears on the site, and there is no developer or documentation surface. Zig's integrations reach into the CRM, inbox and Slack rather than offering a way for a customer to build on Zig, and the voice, Slack, text and email command surfaces are ways a rep talks to the product, not interfaces another system calls.

Sourcezig.ai/platform and the zig.ai siteread 2026-09-01

Testing, Debugging & Optimization Partial

The site asserts a learning loop and names what feeds it. The home page says "Every call, email, and deal adds to what your assistants know about your team, your buyers, and what closes", and the how it works page calls the result a compounding effect, with the assistants knowing the pipeline better than a new hire by month 12. Nothing documents what the loop tunes, how a change is measured, or a surface where a revenue leader tests or reviews agent quality.

Sourcezig.ai and zig.ai/how-it-worksread 2026-10-01

Browser / Computer-use Not documented

No browser driving or computer use capability is documented; Zig executes through integrations and communication channels rather than operating a browser or GUI.

Sourcezig.ai/platformread 2026-10-01

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Starter Team $799 a month and Growth Team $1,199 a month, each on a 12 month agreement with unlimited users · Enterprise custom on a 2 to 3 year agreement · every plan booked through a meeting

plan tier with included enrichment credits, AI outbound emails and dialer minutes; unlimited users

Cost watchouts

Starter Team and Growth Team require a 12 month agreement and Enterprise a 2 to 3 year agreement. The AI Agent Inbound Engine is an add on at $499 a month on Starter and $249 a month on Growth. No rate is published for use past the included credits, emails and minutes.

Variable cost rationale

Plans are fixed monthly fees with included pools of enrichment credits, AI emails and dialer minutes; the home page describes pre-bought execution pools with unused executions carrying forward. No rate for use past the included pools is published, so the cost of a heavier motion cannot be estimated from public material.

Sales call required

Yes, required for paid access

Lowest paid plan

Starter Team $799 a month on a 12 month agreement

Key ambiguities

The home page describes a pre-bought pool of executions, while the pricing page lists plan quotas for enrichment credits, AI emails and dialer minutes; how executions map to those quotas, and what use past them costs, is not stated. A Proof of Value engagement is offered before commitment; its terms are not published.

Agentic Index verified 2026-10-01

Alternatives to Zig.ai

The closest documented capability profiles to Zig.ai among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Oliv AI7.5 / 14A lighter documented profile than Zig.ai
  • Kleio9.0 / 14Adds documented APIs, SDKs & MCP Extensibility and Testing, Debugging & Optimization
  • Spring Labs9.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
  • Actively AI7.5 / 14Adds documented APIs, SDKs & MCP Extensibility
  • CommerceIQ8.5 / 14Adds documented Testing, Debugging & Optimization
  • Element4519.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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