Alternative data
In buildActivity signals on companies and sectors, for hedge funds, asset managers, banks and research teams.
- hiring
- store_openings
- prices
- footfall
- web_activity
FV 01 · Alternative data
The alternative data engine for global markets.
Fractales Ventures is building an engine that finds, collects, structures and validates data that standard financial feeds miss. We start in Japan, where local-language and offline sources are deep and underused, and the engine is designed to add new markets and new types of dataset from there.
Sources
- Job postings
- Store openings and closures
- Price lists
- Permits and filings
- Web and app activity
- Regulatory notices
- Footfall and queues
- Shipping and trade
Engine
- Discover
- Acquire
- Structure
- Validate
- Deliver
Dataset
| date | entity | signal | region | value |
|---|---|---|---|---|
| 2026-10-27 | Retailer A | store_openings | JP-13 | +4 |
| 2026-10-27 | Chain B | job_postings | JP-27 | +18% |
| 2026-10-26 | Maker C | price_index | JP | −2.1% |
| 2026-10-26 | Issuer D | reg_filing | JP | new |
How the engine works
Built to add sources, markets and datasets.
Each new dataset runs through the same five stages, so the engine scales by adding sources rather than by starting over. Japan is the first market; the method is the same in any market.
Technology partner Collection and data infrastructure are built with Context Plus, through Context Labs. Sourcing, validation and client relationships stay with Fractales Ventures.
Discover
Find signals that matter to investors and are not in standard feeds: local-language, fragmented or offline.
Acquire
Collect lawfully and repeatably, with the legal basis for each source recorded.
Structure
Map entities, normalise fields and build consistent history.
Validate
Test completeness and consistency, and document what the data can and cannot show.
Deliver
Ship as files or feeds in an agreed format, with full documentation.
What the engine captures
Four families of data.
Alternative data comes first. The same engine then extends to regulatory, risk and sustainability data. Each family is marked with its current stage.
Regulatory and legal data
PlannedRule changes, enforcement actions and filings, structured for monitoring and research.
- rule_changes
- enforcement
- filings
Risk data
PlannedEvents that change a counterparty's risk profile, for investors and compliance teams.
- sanctions
- corporate_events
- cyber_incidents
Sustainability data
ExploratoryEnvironmental and supply-chain signals, developed when a buyer need is confirmed.
- emissions
- supply_chain
- biodiversity
Data standards
How we source data.
Institutional buyers review how a dataset was collected before they review what it shows. These standards apply to every dataset we deliver.
Lawful collection
Data is collected from sources we have the right to use, in line with each source's terms and the law of each market.
Personal information
Datasets are designed to exclude or aggregate personal information, consistent with Japan's Act on the Protection of Personal Information and equivalent laws elsewhere.
No inside information
We do not collect or deliver material non-public information, and we do not induce anyone to breach a duty of confidentiality.
Documented provenance
Each dataset ships with its sources, collection method, coverage, history and known gaps.
Agreed delivery
Format, frequency, history depth and exclusivity are agreed in writing before a pilot begins.
Verified before release
We test each dataset for completeness and consistency, and state what we could not verify.
Coverage
Starting in Japan. Built for every market.
We start where we are based and where sources are deep and underused. Each new market reuses the same engine, standards and delivery, with sources validated locally.
Advisory practices
Advice built on the same expertise.
Two practices draw on two decades leading financial data and legal information businesses, and on the regulatory data the engine produces.
FV 02
Board & Governance
For Boards, CEOs and investors.
- Board advisory and external directorships
- Board oversight of AI, cyber and compliance risk
- Leadership of information and data businesses
FV 03
Risk, Compliance & Legal Operations
For General counsel, compliance and risk leaders.
- Compliance programme and monitoring workflows
- Legal operations and legal technology workflows
- AI governance and cyber risk governance
Ways to start
A small first step.
Scope, deliverables and fees are agreed in writing before work starts. Formats marked in development are not yet available.
Scoped data pilot
A dataset built around one investment question, with a defined history, coverage and delivery format.
Offered nowData licences and recurring feeds
Ongoing delivery of validated datasets, introduced as pilots prove their value.
In developmentBoard and executive advisory session
A focused session on a defined governance, strategy or market question.
Offered nowBoard risk review
A structured review of how the board oversees AI, cyber and compliance risk, with written recommendations.
Offered nowCompliance workflow diagnostic
A review of current compliance or legal operations workflows, with a prioritised improvement plan.
Offered now
Founder
Pascal Rosier
Founder and Managing Partner
Pascal has spent his career where important decisions are made: inside the information behind them.
A former President and Representative Director of LexisNexis Japan, he has spent two decades leading information businesses across Asia Pacific for Bloomberg, Dow Jones, Business Wire and ICE Data Services. He founded Fractales Ventures to help organizations turn data, technology and regulation into better decisions and sustainable growth.
Career history is shown for context. Former employers are not Fractales Ventures clients and do not endorse its work.
Tell us what you need to know.
A short note is enough to start: the market, the question, and how you would use the answer. We reply with a view on whether and how we can help.