# Clerix R&D

> Clerix R&D is a systems research team that turns undocumented software and protocol behavior into reproducible models and production-grade data infrastructure.

The team works across reverse engineering, runtime instrumentation, network traffic analysis, distributed systems, and data modeling. Research examples are anonymized unless disclosure has been explicitly approved.

## Core pages

- [Clerix R&D](https://clerix.io/research.html): Team capabilities, research process, and production deliverables.
- [R&D Field Stories](https://clerix.io/case-studies.html): Short field stories about surprising data-collection behavior we've stumbled upon while reverse-engineering clients and sources — local-network reconnaissance, always-on sensor telemetry, keystroke-cadence fingerprints, battery-drain device IDs, ambient-audio co-presence signaling, and cross-app device graphs assembled over the LAN.
- [Clerix](https://clerix.io/): Product overview, use cases, methodology, API delivery model, and contact information.

## Capabilities

- Binary analysis and runtime instrumentation
- Signed client-protocol reverse engineering
- Coordinated failure and session-lineage analysis
- Undocumented protocol-drift detection
- Response reconstruction, entity resolution, and provenance
- Research harnesses, contract tests, canaries, and production safeguards

## Research approach

1. Observe and instrument the system.
2. Recover the smallest deterministic model that explains the behavior.
3. Falsify the model with drift, malformed state, concurrency, and partial failure.
4. Transfer the result into production with fixtures, safeguards, observability, and runbooks.

## Contact

- Website: https://clerix.io/
- Email: contact@clerix.io
- Research: https://clerix.io/research.html