Shadowlabs.ai

Tool snapshot
Best fitChatbots · Sales · Productivity
In one lineShadow is an AI coworker for sales teams that provides live-call assistance, captures meeting context, drafts follow-ups, and builds a cited team knowledge base.

Shadowlabs.ai

Shadow is an AI coworker for sales teams. According to the vendor, it works during and after sales calls by providing contextual answers during conversations, tracking agendas and action items, drafting follow-ups, and building a cited team knowledge base from calls. Shadow currently runs on macOS and is intended to work with call platforms that provide audio; Windows support is listed as in development.

What it does

Shadow’s live-call assist surfaces relevant account and team context when a prospect asks a question. The vendor’s examples show it retrieving details such as a customer’s recent funding, security information, previous pricing discussions, and comparable deal language. It can also identify actions during a call—such as sending a pricing document—and draft the follow-through.

After a meeting, Shadow can automatically capture notes, create follow-up drafts, and track actions to completion. Its team-memory features organize facts, objections, and successful sales plays with links back to the originating conversation. The vendor says this allows sellers to ask questions such as how a pricing objection was handled, what a particular account requested, or which loss reasons recur across calls.

Some capabilities are explicitly marked as roadmap items rather than currently available. These include a Monday digest, deal-risk explanations tied to exact quotes, broader forecasting support, and an “Intelligence Desk” for querying large conversation collections. The product page also labels some team-memory and pipeline features as “next,” “ready,” or “roadmap,” so availability should be confirmed with Shadow.

Who it helps

Shadow is aimed at sales representatives who need account context, objection handling, and next-step support without switching between multiple tools. It may also help sales managers and enablement teams preserve effective talk tracks, identify recurring objections, and help new representatives learn from prior calls.

The vendor positions Shadow as different from post-call conversation intelligence: its stated focus is helping sellers during the call as well as afterward, rather than primarily reporting on conversations for managers. Its shared team graph is intended to retain plays, objections, and answers as representatives continue talking to customers.

Workflow and integrations

Shadow runs natively on a Mac rather than joining meetings as a bot. The vendor says it works with conferencing platforms including Zoom, Google Meet, Microsoft Teams, and other services with audio. It lists live connections for Gmail, Outlook Mail, Google Calendar, Outlook Calendar, Notion, Slack, Salesforce, Jira, and Linear.

A typical workflow begins with Shadow listening during a call and displaying relevant answers or tracking agenda coverage. It then captures commitments and drafts emails or other follow-up tasks. For teams, the product page describes shared knowledge, CRM updates, onboarding support, administrative controls, and usage analytics as Team-plan features.

Shadow claims support for more than 60 languages, including transcription, live assistance, and follow-up drafts in the language used on the call.

Pricing, strengths, and limits

The first five hours of calls are free, with no credit card required. The Free plan includes live assist, automatic capture and follow-up drafts, and native Mac operation. The Team plan is priced per seat, monthly or annually, with pricing available by contacting the vendor; it adds shared team knowledge, CRM auto-update, onboarding, admin controls, and analytics. Enterprise pricing is custom and lists SSO/SAML, PII redaction, audit logs, retention policies, deployment support, and Coaching Staff.

The clearest limitations are platform and feature maturity: macOS is live while Windows is still in development, and several analytics and intelligence features are described as roadmap items.