Market MapWealthTech
Vertical Market Map · WealthTech
WealthTech AI, mapped across 10 layers & 50 sublayers.
AI-native wealth management, advisor copilots, planning, estate, RIA compliance.
As of AI-native wealthtech · seed → growth · May 2026 (v2, post-audit)·Re-reviewed monthly·methodology
ThesisWealthTech inverted the legal-AI playbook. The biggest capital is going to AI-native FIRMS (Farther, Savvy), not software sold to firms. The advisor-copilot layer (L7c) is the crowded, commoditizing middle, the Robin AI position. The open prizes: L1d plan-vs-outcome data (unclaimed by AI-natives), L8d household memory, and L3a RIA compliance.
Filter by stage:
Solid = primary layer · faded = secondaryOpen whitespaceFeature (absorbed)Horizontal (owned outside vertical)
· A ·
· B ·
· C ·
· D ·
· E ·
L8
Memory
L8A
Session & Short-Term Memory
Framework / infra feature
L8B
User & Entity Profiles
Absorbed into platforms
L8C
Aggregated Network Learning
⌁ Cross-household network learning, open
L8D⌁ OPEN
Institutional Knowledge
L8E
Learned World Models
⌁ Predictive household / market world models, open
L7
Surface
L7A
Conversational
L7B
Visual Interfaces & Media
Horizontal media tools
L7C
Embedded & Embodied AI
L7D
Transaction Surface
⌁ Custodians (Schwab, Fidelity) hold the rails, AI-native version unbuilt (DocuSign pattern)
L7E
Async & Ambient Surfaces
⌁ Ambient monitoring of client life events, emerging
L6
Orchestration
L6A
Agent Loops
Built into platforms
L6B
Human-in-the-Loop
Built into platforms
L6C
Role Routing & Task Decomposition
Built into platforms
L6D
Context & State Management
Built into platforms
L6E
Runtime Assurance & Learning Loops
Built into platforms
L5
Execution
L5A
Domain Execution & Tool Use
L5B
Decision Frameworks & Reasoning Scaffolds
L5C
Retrieval-Augmented Workflows
L5D
Operating Playbooks
Feature inside L5a / L7c products
L5E
Interaction Skills & Actuation
Feature inside L5a / L7c products
L4
Access
L4A
API & Integration Layer
L4B
Agent Interface Protocols
Cross-industry protocol (emerging)
L4C
Access Governance & Agent Commerce
Platform feature
L4D
Real-Time Interaction Infrastructure
Horizontal infra
L4E
Agent Identity & Provenance
⌁ Agent identity / provenance, open
L3
Gates
L3A⌁ OPEN
Compliance & Export Controls
L3B
Quality Gates
⌁ Advice quality / suitability gates, open
L3C
Safety, Security & Provenance
Platform feature
L3D
Editorial Gates
Platform feature
L3E
Distribution Gates
⌁ FINRA marketing-review automation, emerging
L2
Models
L2A
Foundation & Multimodal Models
Foundation labs (OpenAI / Anthropic / Google)
L2B
Specialized & Fine-Tuned Models
⌁ No meaningful wealth-specific models yet, foundation models suffice so far
L2C
Embedding & Retrieval
Horizontal infra
L2D
Model Routing & Composition
Horizontal / infra
L2E
Reasoning & World Models
Foundation labs
L1
Data
L1A
Public & Open Data
Market data incumbents (Bloomberg, Morningstar, exchanges)
L1B
Proprietary Data
L1C⌁ OPEN
Behavioral & Sensor Data
L1D
Outcome Data
⌁ Plan-vs-outcome data, unclaimed by AI-natives. Incumbents hold raw data but haven't productized outcome intelligence
L1E
Synthetic & Simulation Data
⌁ Synthetic households / scenarios, emerging
L0
Infra
Vertical-agnostic, shared GPUs / silicon / data centers / cloud. Not wealth-specific.
L-1
Resources
Vertical-agnostic, energy, materials, fabrication. Not wealth-specific.
Layer scorecard, contested vs. open
| Sublayer | AI-first occupants | State |
|---|---|---|
| L1c Behavioral & Sensor Data | Zocks (conversation exhaust) | Open & fundable |
| L1d Outcome Data | No AI-native owner, incumbents hold raw data | Open & fundable |
| L3a Compliance & Export Controls | Hadrius (small), Greenlite (adjacent) | Open & fundable |
| L5a Execution (as firms) | Farther, Savvy, Arta; Wealth.com, Powder, Vanilla | Most crowded |
| L5b Planning / Reasoning | Conquest | Squeezed middle |
| L5c Research / RAG | Brightwave (Rogo adjacent), FP Alpha | Most crowded |
| L7c Advisor Copilot | Jump, Zocks, Zeplyn, Mili (Parrot AI acq.) | Most crowded |
| L7d Transaction Surface | Nobody AI-native, custodians hold the rails | Scarce → bought |
| L8d Household Memory | Farther / Savvy best positioned | Open & fundable |
Where the next winner comes from
1 · L1d plan-vs-outcome data, unclaimed by AI-natives.
Incumbents (eMoney, Morningstar, custodians) hold raw plan/portfolio data but haven't productized outcome intelligence. Wealth's EvenUp doesn't exist yet. Whoever builds it owns pricing, benchmarking, and the trust layer.
2 · L8d household memory.
Multi-generational client knowledge as structured memory. Integrated firms are best positioned but distracted by growth, a neutral layer could still emerge.
3 · L3a RIA compliance.
The Norm Ai / Delve playbook applied to wealth, recurring, audit-grade, nearly empty. Hadrius is alone at seed.
4 · L7d transaction surface.
Custodians (Schwab, Fidelity) hold the rails; an AI-native layer on account opening / transfers, where outcome data lives, is open.
5 · Copilot consolidation arbitrage.
L7c will consolidate (Parrot AI already acquired). Winner = whoever converts notes into a proprietary L1c behavioral asset first (Zocks' thesis).
v2, post-audit. Verified: Farther, Savvy, Jump, Zocks, Conquest, Wealth.com, Brightwave, Rogo, Zeplyn, Powder, Hadrius. Flagged: Arta total, Vanilla, FP Alpha, Mili. Range excluded (unverified). '$4.2B 2025 wealthtech funding' figure single-source (TFN). Sources: General Atlantic, BusinessWire, WealthManagement.com, InvestmentNews, Financial Planning, Celent, TFN. Valuations point-in-time (2025-26).