Intelligence unique to your account data
Scout trains on your data and your data alone, ensuring world-class security and zero hallucinations. Built on top of Factors.ai, your account interactions, marketing campaigns, revenue pipeline and third-party intent are now ready to be queried and acted on using 90+ languages
Start from your data.
Not from scratch.
AI Agents that turn raw data into winning moves that your competitors wish they had.
Scout Watch
Scout Map
Scout Patrol
BI tools = 2 weeks,
Scout < 5 minutes
Scout lives where you work
Scout on your Slack threads
Get AI-summarized account intelligence delivered directly where your team works.
Work with Scout on Claude
Ask Scout anything about your pipeline, accounts, or campaigns, right inside Claude.
Pre-built agents to get you started
Any GTM use case you can describe, Patrol can run. Use the built-in prompt framework to write your own agent in plain language and deploy it across Slack, CRM workflows, segment columns, reports or the API. No code required.
FAQs on Scout by Factors.ai
Scout looks interesting, but we already use Clay, ChatGPT, and other AI tools. Why add another one?
This is one of the most common concerns raised across customers. The key difference is where the data lives. General tools like ChatGPT or Clay work on data you bring to them. Scout works on data Factors has already collected about your accounts, including website activity, CRM history, LinkedIn ad engagement, G2 intent signals, and more, without you having to export, clean, or paste anything. The goal isn't to replace those tools; it's to make the intelligence you've already built in Factors actionable without switching tabs.
Can Scout and agents push data back into our CRM (HubSpot / Salesforce) automatically?
Yes. Agent outputs like scores, tiers, summaries, and attribution values can be sent to HubSpot or Salesforce via Factors' native workflow triggers or through a webhook into Make.com or Clay. The typical flow is: agent runs on a trigger, the output is written as a custom property on the CRM record. For certain custom property types, confirm the field mapping with your CSM before building the workflow.
How does Scout's credit system work, and what happens when credits run out?
Scout and Agents run on a credit model. Most customers start with an initial credit grant to explore the features. Credits are consumed per agent run or Scout query, varying by the number of tools the agent calls and the length of the output. When credits are exhausted, the features pause. Credits can be topped up as a bulk purchase or on a recharge basis. For segment column agents, results are cached so revisiting an account doesn't re-run the agent. Monitor credit usage closely if you're running daily batch agents across large account lists.
Our sales team won't log into Factors daily. How do we get Scout's insights to them without changing their workflow?
This is exactly the problem Scout Patrol is designed to solve. Rather than requiring reps to check Factors, agents can push outputs directly to Slack, to the CRM as enriched properties reps already see in HubSpot or Salesforce, or via email. The key setup step is choosing the right deployment surface, whether that's a Slack alert, CRM workflow, or segment column, based on where your team actually works.
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