An AI copilot built into the workflow, not bolted on top
Loomstrat's AI Copilot reads the same data your reps see and turns it into a summary, a draft message, or a transcript — right inside the lead page.
AI Copilot
lead insight — Novapeak Ltd
From lead capture to a drafted reply
A lead arrives
From Meta Lead Ads, an embedded form, CSV import, or manual entry — landing in your pipeline with a stage and an AI score.
The Copilot reads the lead
Profile fields, engagement history, tags, and prior activity feed the insight summary and score in real time.
A rep gets a starting point
Buyer intent, objections, a recommended next action, and a drafted pitch for the channel they're about to use.
Everything logs itself
Calls are transcribed, messages sync into the timeline, and the score updates as engagement changes.
Point an AI agent at your own pipeline
Beyond the in-app copilot, a remote MCP server exposes read and write tools — search_leads, get_lead, create_lead, update_lead_stage, analyze_lead_with_ai — plus get_pipeline_summary and get_analytics_summary for ask-your-CRM-about-your-numbers workflows.
AI Copilot & MCP — questions answered
Loomstrat's AI Copilot is built on Google's Gemini models for lead insight summaries, pitch generation, and call transcription.
Put an AI copilot on every lead
Start free, connect your channels, and see the first AI-generated pitch in minutes.
Loomstrat — The CRM built for speed-to-lead sales teams