Eric Raynal

AI Data Reliability Expert | Data Quality & Finance

The data is the fuel for your AI, I make it impeccable.

With 17 years of experience in audit and finance, I apply accounting rigor to the reliability of datasets for AI. I help Tech and business teams transform raw data into high-quality assets for fine-tuning or deploying RAG models.

Why me? The effectiveness of an LLM depends on its training. My business expertise detects biases and logical errors that automated tools and junior profiles miss.

Expertise (B2B - SASU)

Audit & Cleaning: Deep analysis (JSON, CSV, SQL), duplicate removal, and structural normalization.

Data Curation & Annotation: Precision labeling on complex data (Finance, Business, Reporting).

RAG Optimization & Fine-tuning: Data structuring to maximize relevance and eliminate hallucinations.

Quality Control (HITL): Critical review of AI outputs for absolute business compliance.

Concrete Cases (Audit-Ready Methodology):

Financial Dataset Audit (5,000 entries): Identification of 12% calculation errors and JSON restructuring for a conversational agent.

Business Data Curation: Cleaning of a CRM/ERP database. Result: Reduction of the model's hallucination rate from 20% to <1%.

Management Bot Validation: Tax robustness tests. Result: 100% compliance of responses with regulations.

Assets

Auditor's Rigor: "Zero error" approach (ex-Cerfrance).

Business Expertise: Real mastery of financial and administrative flows.

Professional Framework: Services via SASU, simplified invoicing, and total confidentiality (NDA).

Objective: Reliable data to secure the performance of your AI solutions.