End-to-End Alternative Data Services
Put alternative data to work in real investment workflows.
We cover the full lifecycle, from vendor discovery and procurement through AI-assisted parsing, normalization, and signal research.
Signal Research & Forecasting
We translate alternative indicators into features, backtests, and forecasts that can be monitored over time.
Use outputs that stand up to investment committee review and deploy cleanly with your quant and research engineering teams.
Parsing, QA & Normalization
Alternative data arrives messy, including JSON feeds, text, imagery, logs, and edge cases.
We build repeatable pipelines with automated quality checks, standard schemas, and consistent time and entity alignment.
Ontologies, Reference Data & Entity Mapping
Use standardized ontologies to represent entities, instruments, products, and locations across vendors.
We map alternative datasets to your reference data and security master, improving joinability, reducing false matches, and producing consistent features for research and production.
Data Procurement & Vendor Due Diligence
We identify datasets aligned to your investment questions and coverage requirements. We evaluate provenance, licensing/usage rights, historical depth, and operational feasibility before you commit.
Insights in Numbers
67%
Managers using
Alt Data
94%
Plan to Increase Budgets
7k +
Available Datasets
$31B
2026 spend estimate
79%
Integration is the
#1 challenge
Built for Institutional Data Stacks
