Model Ingestion & API Evaluation
- Import models via:
- REST APIs
- ONNX, PMML, or JSON formats
- Integrate third-party LLMs through prompt–response capture.
- Establish real-time API connections for continuous validation and telemetry.
Simulated Real-World Testing
- Inject synthetic, anonymized datasets to simulate diverse demographic and contextual conditions.
- Test for:
- Fairness and bias
- Explainability gaps
- Adversarial robustness
- Sector-specific libraries:
- Healthcare
- Finance
- Human Resources
- Legal
- Retail & E-commerce
- Public Sector
LLM Prompt & Output Benchmarking
- Build a library of standardized prompt sets to check:
- Accuracy
- Cultural bias
- Language inclusivity
- Hallucination rate
- Benchmark against:
- Historical responses
- Competing model outputs
- Human-validated gold standards
Real-Time Monitoring & Observability
- Integrations:
- OpenTelemetry
- Langfuse
- Prometheus
- OpenTelemetry
- Track model drift and behavioral changes post-deployment.
- Receive alerts when:
- Outputs deviate from compliance thresholds
- Models begin producing biased or unsafe responses
Corrective Feedback Loops
- Human-in-the-loop remediation: Compliance officers can approve, reject, or correct outputs.
- Carlo sends JSON-based feedback directly to the model pipeline.
Suggests policy tuning or model retraining datasets.
Certification & Trust Badging
Once your model meets defined thresholds:
- Issue co-branded Ethical AI Certification.
- Generate:
- Detailed audit logs
- Compliance scorecards
- Digital trust badges for your app, website, or investor decks
Maintain certifications with scheduled re-validation.
Carlo provides an end-to-end framework for ethical AI compliance, seamlessly connecting your models with clear, testable policies. It transforms rules into executable checks and benchmarks against real and synthetic data.
- Ingest Model/API → Carlo connects to your AI or ML system.
- Upload Policies → Convert global or internal rules into executable tests.
- Simulate & Benchmark → Run synthetic and historical data tests.
- Analyze Results → Dashboard displays compliance scores and flagged issues.
- Remediate → Correct, retrain, or adjust policy logic.
- Certify → Issue Ethical AI Compliance Certificates.
- Monitor → Real-time drift detection & alerts.
With automated remediation, certification, and real-time monitoring, Carlo ensures your AI systems remain transparent, responsible, and aligned with global standards.
Carlo is built with security and trust at its core, giving you full control over how and where it runs — whether on-premise or in the cloud. Sensitive data never leaves your infrastructure, ensuring privacy by design.
- On-Premise or Cloud Deployment: Your choice.
- No Sensitive Data Leakage: Policies and datasets stay within your infrastructure.
- Encryption at Rest & In Transit: AES-256, TLS 1.3.
- Role-Based Access Control (RBAC) with audit trails.
Immutable Logs stored via blockchain integration for high-trust verification.
Carlo ships with pre-built compliance modules aligned to:
- EU AI Act
- General Data Protection Regulation (GDPR)
- California Consumer Privacy Act (CCPA)
- Rome Call for AI Ethics
- OECD AI Principles
- ISO/IEC AI Governance Standards
Sector-Specific Laws (HIPAA, FINRA, PSD2, etc.)
Healthcare – Clinical Decision Support AI
Challenge: A hospital deploys an AI diagnostic assistant. It must not produce discriminatory recommendations based on patient ethnicity or gender.
Carlo’s Role:
- Simulates diverse patient profiles via synthetic health records.
- Validates outputs against HIPAA and WHO ethics guidelines.
- Alerts compliance team when disparities are detected.
Certifies the model before hospital-wide rollout.
Banking – Loan Approval Model
Challenge: A bank’s credit scoring AI must comply with Equal Credit Opportunity Act and EU AI Act rules on transparency and fairness.
Carlo’s Role:
- Parses both laws into machine-readable thresholds.
- Benchmarks model decisions for bias by ethnicity, gender, or age.
Issues compliance badges for regulator reporting.
Retail – AI Personalization Engine
Challenge: A global e-commerce site wants to avoid recommending products in a way that reinforces harmful stereotypes.
Carlo’s Role:
- Injects varied demographic profiles.
- Detects biased product suggestions.
Generates real-time alerts for marketing teams to adjust personalization logic.
Government – Citizen Chatbot
Challenge: A public service AI must provide accurate, unbiased, multilingual information without political or cultural bias.
Carlo’s Role:
- Tests chatbot with multilingual prompt sets.
- Flags politically sensitive or biased responses.
- Certifies chatbot for public-facing deployment.
HR – AI Resume Screening Tool
Challenge: An HR AI system should not unfairly filter candidates based on name, gender, or location.
Carlo’s Role:
- Uses synthetic resumes with controlled variations.
- Detects hiring bias patterns.
- Provides audit logs to prove fairness to labor regulators.
LegalTech – Document Summarization AI
Challenge: A law firm uses AI to summarize case law. Hallucinated case citations could cause legal missteps.
Carlo’s Role:
- Tests against validated legal databases.
- Flags non-existent case references.
Ensures summaries meet ISO 9001 quality benchmarks.
Why Carlo Sandbox Is Different
- Not Just Theory – Enforceable Ethics
- Carlo turns abstract ethics into hard-coded, testable engineering rules.
- Lifecycle Coverage
- From pre-deployment simulation to post-deployment monitoring.
- Multi-Layered Observability
- Drift detection, telemetry, and corrective feedback.
- Co-Branded Certification
- Boosts trust with customers, regulators, and investors.
Customizable for Any Sector
Finance, healthcare, retail, government, manufacturing, education, and beyond.
Call to Action
Carlo is the AI compliance cockpit your organization needs to navigate the complex landscape of AI regulation and ethics. Whether you’re a startup aiming for market trust or a multinational under strict regulatory scrutiny, Carlo makes AI governance transparent, enforceable, and scalable.