Tech Layer · Position 2
Data Layer
Data pipelines, market data feeds, alternative data providers
Technology Stack
Segments at This Layer
Top Companies by Funding
View in directory
Databricks
Unified data and AI platform
Palantir
AI data platform for finance
AlphaSense
AI-powered market and search intelligence
Dataminr
AI for real-time event and risk detection
Socure
Digital identity verification and fraud prevention
Snowflake
AI-enhanced data platform for finance
MX
AI-powered financial data enhancement
Quantexa
AI decision intelligence for risk
Chainalysis
Blockchain analysis and crypto compliance
Yipitdata
AI consumer transaction analytics
Hyperscience
AI-powered document processing platform
Feedzai
AI-native fraud and financial crime prevention platform for major banks
Persona
AI identity infrastructure platform
WorkFusion
AI-powered intelligent automation
Incode
AI identity verification with deepfake detection
Zest AI
AI-automated underwriting for credit unions and banks
Instabase
GenAI-powered document extraction
Shift Technology
AI fraud detection for insurance claims
Frequently Asked Questions
What is the Data layer in financial AI?
Data pipelines, market data feeds, alternative data providers The Data layer sits at position 2 in the five-layer financial AI technology stack, below Models and above Infrastructure. 93 companies in the AIFI directory operate at this layer, with $30.6B in combined funding.
Which companies operate at the Data layer?
93 companies operate at the Data layer. Databricks: Unified data and AI platform. Palantir: AI data platform for finance. AlphaSense: AI-powered market and search intelligence. And 74 more.
How does the Data layer fit in the financial AI stack?
The financial AI stack has 5 layers: Applications, Automation, Models, Data, Infrastructure (ordered by position). Data is at position 2. Above it, Models: AI/ML models, algorithms, prediction engines, foundation models Below it, Infrastructure: Cloud compute, blockchain networks, core financial infrastructure
What is the most funded Data company?
Databricks is the most funded company at the Data layer, with $14.0B raised. Unified data and AI platform Followed by Palantir ($2.5B).
What AI technologies are used at the Data layer?
Companies at the Data layer most commonly use Data Platform (43 companies), Computer Vision (15 companies), Predictive ML (13 companies), LLM / NLP (11 companies).
Which market segments are represented at the Data layer?
The Data layer serves 9 market segments. The largest are Research & Data (44 companies), Lending & Credit (31 companies), Risk & Compliance (31 companies).