Impact for Good
Because doing the right thing shouldn’t require a full budget.
Outside of commercial engagements, I dedicate a portion of my capacity to organizations doing work that matters but cannot afford enterprise-level data support. This is not a separate service line. It is how I choose to spend some of my time.
Clarity Layer participates in Pledge 1%, committing at minimum 1% of annual hours to pro bono work. In practice, I regularly exceed this.
Why We Do This
Data is powerful when used well. Many organizations doing the most critical work in the world are making decisions with underfunded, unstructured systems. That is a fixable problem, and fixing it is worthwhile.
Case Study: Transylvania Wildlife Rescue
Bringing structure, clarity, and automation to a local environmental NGO on the frontlines of animal protection.
About the Client
Transylvania Wildlife Rescue (legal name: Organizația pentru Protecția Mediului și Combaterea Braconajului) is a Romanian NGO working to protect wildlife and fight environmental harm — especially in Cluj County. Their work spans:
Wildlife rescue and field interventions
Environmental education in schools
Legislative advocacy (e.g., stricter rules on fireworks and animal cruelty laws)
Anti-poaching and anti-pollution campaigns
Plans for a regional wildlife rehabilitation center
The Challenge
As their operations expanded, so did their data needs. But like many NGOs, they lacked:
A clear data architecture
Tools to track and flag illegal wildlife trade
Systems for regulatory compliance (especially GDPR)
Fast access to location data for field rescues
Structured workflows for reporting and future infrastructure
They didn’t need dashboards — they needed a foundation.
How We Helped
Clarity Layer supported Transylvania Wildlife Rescue as part of our Impact for Good program, providing free services to help them grow ethically and effectively.
Infrastructure Audit: We ran a full audit of their current tools, storage, and communication workflows to identify vulnerabilities and inefficiencies.
Wildlife Trafficking Monitor: We built a custom script that monitors OLX (a local marketplace) using an LLM (large language model) to flag posts potentially related to:
Illegal animal sales
Endangered species
Signs of poaching or animal abuse
The model uses contextual signals — not just keywords — to improve accuracy, and can be retrained as patterns evolve.
CITES Mapping: We helped implement internal mapping for species under the CITES convention, enabling the team to more accurately track protected wildlife references and report infractions.
GDPR & Compliance: We assessed compliance risks and created a lightweight GDPR framework, including:
Consent workflows
Data retention policies
Volunteer data protection practices
Field Rescue Optimization: We’re currently connecting their website and database to Google Maps API to help the team reach rescue locations faster. A real-time mapping interface will reduce response delays and support coordination.
Future Reporting Prep: As their infrastructure matures, we’re planning to support them with custom database architecture and donor-friendly reporting frameworks, ensuring every rescue and policy win can be counted and shared.
The Outcome (So Far)
Transylvania Wildlife Rescue now has:
A foundation for data governance and compliance
Automated monitoring for a key illegal activity channel
A growing tech stack they can build on
A partner to call when tech, ethics, and nature meet
Why It Matters
Wildlife NGOs like this are under-resourced and overburdened and yet they’re critical to protecting our ecosystems, shaping environmental laws, and helping animals survive human harm.
By giving them the tools they need to move faster, track smarter, and stay compliant, we help them do more good, more safely.
Note from Alexandra: "I’ve raised dozens of rescued hedgehogs for Transylvania Wildlife Rescue. This project is personal — and I’m proud we could support them both in the garden and in the codebase."
