Catchlight vs FINNY vs Aidentified for advisor prospecting

Last updated April 13, 2026 · By Isaiah Grant, Founder

Catchlight, FINNY, and Aidentified are the three AI prospecting platforms advisors ask about most. All three find prospects. They find them differently, price differently, and fit different kinds of practices.

Where they overlap

All three use AI to scan data and surface people who look like good prospects for a financial advisor. All three score or rank those prospects. All three integrate with at least some advisor CRMs. And all three are priced as SaaS subscriptions rather than per-lead fees.

Where they differ

Data philosophy

Catchlight analyzes roughly 2,000 data points per individual, heavily weighted toward financial propensity signals. Incubated at Fidelity Labs, the data skews toward Fidelity ecosystem intelligence.

FINNY focuses on money-in-motion events — job changes, home purchases, inheritances, retirements — to catch people at the moment they need advice. YC-backed with a $17M Series A.

Aidentified maps relationship networks. Instead of cold-scoring strangers, it finds warm paths — who in your existing network is connected to prospects worth reaching. FactSet invested $12.5M, which signals the institutional-grade data angle.

Outreach approach

Catchlight generates personalized email drafts using AI. You review and send them yourself.

FINNY has a full AI outreach agent that handles research, content generation, channel selection, and sequencing. It is the most automated of the three.

Aidentified focuses on surfacing the warm introduction path rather than automating cold outreach. The thesis is that a warm intro converts better than any automated email.

Best fit

• Catchlight: Advisors in or near the Fidelity ecosystem who want strong lead scoring without overhauling their outreach process.
• FINNY: Advisors who want end-to-end automation — prospect identification through first touch — and are comfortable letting AI run outreach.
• Aidentified: Advisors and RIAs who grow through referrals and want to map their network to find the best paths to high-net-worth prospects.

What none of them do

All three find prospects. None of them writes your content, preps your meetings, runs your compliance review, manages your touch-point cadence, or handles your admin. They are one piece of the puzzle. If you want the whole system installed — not just another prospecting subscription — that is a different kind of engagement.

Frequently asked

Is AI prospecting just buying a list with extra steps?

No. A purchased list is a static snapshot of contacts somebody else also bought. AI prospecting watches public signals — life events, employer changes, mortgage payoffs, business filings — and surfaces real people whose situation just changed. Different inputs, different outputs, very different reply rates.

How is this different from Catchlight or Finny?

Catchlight and Finny are SaaS layers that score the leads you already have. The Lead Scorer workflow we install does that AND surfaces net-new prospects from public records, then drafts the outreach in your voice. Tools-vs-installed-system is the real difference.

What's a realistic reply rate?

On a properly scored list with personalized outreach, a one-percent reply rate is the floor and three to five percent is achievable on niche audiences. The lever is matching message specificity to signal quality — generic outreach to a generic list is still generic outreach.

Do we need a separate tool for this or does it run inside the stack?

It runs inside the stack you already have. Outputs land in your CRM, drafts land in your inbox. We don't sell or resell a prospecting SaaS — we install the pattern using your existing tools.

Quiet Machines installs a full AI system — including a Prospect Agent that pulls from 11 public data sources — inside your firm in a 3-day on-site build. Free AI visibility audit →