Raw Alt-Data Sources
Multi-vendor composite. Invoices, POS, card, supply chain, web/app, ratings adjuncts. No single-source dependency.
Approach
The model is the product —
not the data.
We own the synthesis layer that turns fragmented alt-data panels into credit-grade signals. Daily production pipelines, point-in-time backtests, vendor diversification, transparent methodology.
Data architecture
Four-layer pipeline. One model. Two distribution channels.
Ingestion + entity resolution
Lakehouse architecture for ingestion, entity resolution, feature engineering, and model processing. Issuer mapping to public + private universes.
Alt Credit Model
AI/ML + LLM agentic systems produce relative-value, distress, ratings-migration and nowcast signals. PIT, no look-ahead.
Distribution
Distribution via secure cloud storage and governed sharing formats · low-latency API · Terminal · Research Agent.
Methodology principles
Built so a customer can audit it on day one.
We clearly explain the causal relationships between each data source and its predictive contribution to our credit signals — so customers can fully understand the economic logic and audit every signal on day one. This is quantamental credit research by design — quant-grade signal construction that fundamental and quantamental investors can interrogate, trust, and act on, not a black box.
Point-in-time, no look-ahead
All signals are reproducible at any historical timestamp using only data available at that point.
Reproducible backtests
OOS IC, quintile returns, and regime breakdowns — published per signal, refreshed on each model release.
Vendor-diversified
No single panel decides a signal. Robustness is a primary KPI; weak sources lose weight automatically.
Transparent methodology
Public white papers describe construction; clients receive the deeper internal methodology pack on signing.
Versioned schema
Breaking changes ship behind named model versions. Migration windows guaranteed; nothing changes under the client's feet.
Deterministic engine
The LLM agent is a facilitation layer. Numbers always come from the deterministic signal engine.
Data acquisition strategy
Multi-provider composite. Owned platforms.
Partners
3rd-party multi-provider composite
Ratable contracts with best-in-class panel providers across invoices, cash flow, card spend, banking transactions, supply chain, and sectoral telemetry. Coverage independent of any single provider — operational and pricing risk are diversified by design.
See partner brief →Internal Resources
Pay-with-data SaaS networks
Rebelative seeks to launch or acquire industry-specific SaaS tools offered free or at low cost in exchange for de-identified contribution rights. Compounds into a proprietary private-company data moat over time — owned, not rented.
Positioning
Where we sit in the alt-data landscape.
| Aspect | Rebelative | Global provider of financial data | Generalist alt-data | Private mkts. platforms | Ops platforms |
|---|---|---|---|---|---|
| Focus | Credit-only (public + private) | All-in-one finance aggregator | Equity earnings & inflections | Private-company unification | Private capital operations |
| What you get | Investment signals + workflows + mapped data | Alternative data and signals | Raw / licensed feeds + basic analytics | Unified or lightly processed raw data | Backward-looking anonymized stats |
| Coverage | Thousands of public + private names (target at launch) | Public and private issuers | Requires heavy internal rework | Depends on sourced data | Limited to client ecosystem |
| Ongoing burden | Turnkey API + terminal + agent | Fully managed but expensive | You own feature engineering | You own signal engineering | None (but no alpha signals) |
| Users | Quants + PMs + fundamental analysts + credit analysts (whole credit team) | Credit desks | Equity research teams | Data/ops/diligence teams | Ops & reporting teams |
| Moat | Credit-native intelligence layer · daily production | Generational workflow platform | Data pipelines & panels (replicable) | Plumbing & single source of truth (replicable) | Software lock-in + network effects |
Categorical positioning · drawn from public vendor descriptions and our own buy-side experience.
Growth–share matrix
Our target trajectory: become the alt-credit intelligence category leader.
Most players in today's alt-data market are either data resellers or traditional SaaS platforms that bolt alternative data onto equity-centric or generic workflows. Rebelative is different. We build the credit-native intelligence layer — the governed system that turns fragmented alternative and traditional data into production-grade, point-in-time credit signals and persistent research workflows. That’s not an add-on. That’s the new operating layer for credit teams.
Rebelative Question marks — generalist & private platforms Cash cows — incumbent data majors Laggards — niche single-source vendors
Illustrative strategic positioning · BCG growth–share matrix · arrow denotes Rebelative's target trajectory, not current state.
Why we win
A focused execution play in an underserved market — and we know how to sell into it.
Founder advantage
Built by a former quant product leader who ran alt-data and fixed-income quant platforms — and saw exactly where generalist vendors fall short for credit investors.
Workflow lock-in
The combination of API + Terminal + Research Agent maps to how an actual credit team works — fundamental research analysts, credit analysts, quants and PMs each get the exact surface they prefer, with integration into Excel and Google Sheets.
Category position
Alt credit is structurally hard: 10k+ borrowers, non-standard panels, credit-specific signal construction. Generalists can't repurpose their equity stack into this.
Lean, AI-native build
Outsourced cloud, zero/low-code integrations, every non-core integration replaced with managed SaaS. Optimized for speed-to-customer.