Actively AI took the contrarian lane in the AI sales wave and said the quiet part loudly: AI SDRs failed, activity is not the constraint, and what GTM teams need is superintelligence about where to focus. Its product is custom reasoning engines built over a customer’s existing CRM and data, deciding which accounts and actions deserve human attention. Bain Capital Ventures led its round; Ramp, Verkada and Attentive run it. Of everyone in the field, Actively is the company whose premise we agree with most, which makes the disagreement precise.
The shared premise, and the fork
Both companies believe the same sentence: the value of AI in sales is a function of the context it reasons over. A model with thin context produces generic outreach and bad prioritization no matter how clever the prompting. Where the products fork is what they do about it.
Actively reasons over the context you already have. It assumes an enterprise whose CRM, product data and history are rich enough to mine, builds a custom reasoning engine over them, and returns focus: which accounts, which actions, in what order. Your team then does the work.
Stalar builds the context, then does the work. Most teams’ context does not live in queryable systems; it lives in reps’ heads, calls and inboxes, next to a CRM that trails reality. Stalar’s sales brain captures it: every prospect, conversation and touchpoint recorded and remembered, every interaction learned from, how you talk, what works, who buys. Agents then apply that context across the whole motion: researching accounts, drafting outreach in your voice, briefing meetings, keeping the CRM current, proposing the next move, with your reps approving each step.
Side by side
| Actively AI | Stalar | |
|---|---|---|
| Core product | Custom reasoning engines for prioritization | Agentic workspace on a shared sales brain |
| Context source | Your existing CRM and data | Built by the brain from your team’s interactions |
| Output | Focus: which accounts, which actions | The work itself, proposed for approval |
| Execution | Your team | Agents, human-approved |
| Prospecting | Out of scope | Included, with verified contacts paid per found |
| Built for | Data-rich enterprises | Working sales and revenue teams |
When Actively is the better pick
An enterprise with clean, deep data and a team that executes well has a prioritization problem, and Actively is purpose-built for it. If your CRM is trustworthy and your motion runs, a reasoning engine that ranks the next best account is leverage on top of strength.
When Stalar is the better pick
If the data underneath is the problem, prioritization inherits it: a reasoning engine over a stale CRM ranks fiction. Stalar starts one layer down, capturing the context as your team works and acting on it, so the intelligence and the execution come from the same place. The approval-loop numbers show what that looks like in production, and the AI SDR guide maps where both products sit in the wider field.
