Data : The Quiet Edge
Smaller Firms Move Faster
Scale is often framed as an advantage in technology adoption. But in the context of AI where speed of iteration and willingness to experiment matter more than procurement budgets smaller firms hold structural advantages that are easy to underestimate and difficult to replicate.
Prospecting : Opportunities Hiding in Plain Sight
Two publicly available datasets — often underutilized — contain the raw material for a fundamentally better prospecting engine.
Advisor-Level Intelligence
- Registered advisor AUM and growth trajectory
- Custodial relationships and platform preferences
- Fee structures and compensation models
- Client demographics and account minimums
- Disciplinary history and compliance posture
Retirement Plan Intelligence
- Plan assets, contributions, and participant counts
- Current fund lineup and investment options
- Service provider relationships and fee disclosures
- Plan sponsor industry and geographic data
- Year-over-year changes signaling dissatisfaction
What AI Unlocks in Practice
Identify Growth RIAs
Surface registered investment advisors with rising AUM, expanding teams, or shifting allocations before competitors notice.
Find Underserved Retirement Plans
Detect 401(k) and defined-benefit plans with suboptimal fund lineups or aging provider relationships ripe for rebalancing.
Detect Transitions
Monitor advisor moves, team breakaways, and firm acquisitions triggering outreach at the moment of maximum receptivity.
Build Lookalike Profiles
Analyze your best client relationships and generate algorithmically ranked prospect lists that mirror winning patterns.
In a single analysis of Form 5500 data, our team identified over $2B in retirement plan assets with no current coverage from a client's sales team sitting in plain sight, unworked.
CRM Enrichment
Prospecting data is only valuable if it flows into the systems your team actually uses. AI-powered enrichment bridges the gap between raw public data and actionable CRM intelligence — automatically, continuously, and at scale.
Automatically enrich advisor records with AUM, custodian, channel, and product data
Match entities across Form ADV, Form 5500, and CRM to eliminate duplicates
Flag stale records and surface re-engagement opportunities
Create dynamic segmentation that updates as public filings refresh
Entity matching — resolving the same advisor across multiple data sources is where most manual processes break down. AI handles this at scale, reducing CRM maintenance from a quarterly project to a continuous background process.
Meeting Intelligence
Meeting preparation is one of the highest-friction, lowest-visibility activities in distribution. Sales teams spend hours assembling context that should be automatic.
AI-driven meeting intelligence aggregates advisor history, recent activity, product holdings, and competitive context into a single pre-meeting brief — generated automatically and delivered before your team opens their laptop. The result isn't just time savings. It's better conversations, sharper follow-up, and a compounding knowledge advantage.
The edge isn't louder. It's quieter.
Smaller firms that move with precision not scale build advantages that compound quietly and become impossible to replicate.