Let AI Do the Overtime For You

Reflekt Lab builds private AI pipelines that transform messy, real-world data — audio notes, PDFs, Excel files, images, and unstructured documents — into structured, reliable, machine-actionable outputs.

We focus on end-to-end automation, from ingestion to delivery, deployed in controlled environments where privacy, reproducibility, and maintainability matter.

We design and operate production pipelines for companies that need real results, not prototypes:

• Audio → Actions WhatsApp voice notes → structured orders, tasks, summaries.

• PDF & Images → Data Extraction, normalization, validation.

• Excel → Updated Models Financial reconciliations, automated categorization, monthly updates.

• Unstructured → Knowledge Hybrid RAG over internal documents, notes, archives.

Every pipeline is deterministic, testable, and built to integrate with existing systems.

Our stack is designed for reliability, portability, and privacy:

• Private LLM deployments (Llama 3.3, SLMs)
• Hybrid RAG combining embeddings, structured retrieval, compression & mapping
• Containerized services orchestrated for reproducibility
• GitHub Actions-powered CI/CD for automatic testing & deployment
• Terraform-based cloud provisioning (Scaleway, GCP, on-prem setups)
• Separation of concerns between ingest, transform, validate, and export stages
• Stateless services with explicit checkpoints and logs
• Minimal external dependencies to protect customer data

Nothing leaves your environment unless explicitly configured to.

We automate processes for finance teams, schools, retailers, and inventory platforms across Europe & the Middle East:

Transcribe, extract, classify, and generate structured orders from WhatsApp audio.

Automatic de-duplication, normalization, and structuring of wine inventories.

Take bank exports → categorize lines → update models → generate explanations.

Turn PDFs, photos, forms, and attachments into structured objects for ERPs.

These pipelines replace hours of manual work and reduce error rates.

• AI pipelines for audio, image, PDF, Excel
• Private LLM inference (Llama 3.3, SLMs)
• Model orchestration with strong guardrails
• Hybrid RAG (retrieval + compression + semantic mapping)
• On-prem & sovereign deployments
• Terraform-driven cloud infrastructure
• CI/CD automation for ML and backend systems
• Integration into legacy ERPs, admin tools, and backend workflows

We are a team of engineers, ML practitioners, and builders, working across France, SEA, and the Middle East.

Our culture is simple: build systems that solve real problems, run reliably, and respect users’ data.

Website: https://reflektlab.ai Email: hugo@reflektlab.ai

If your operations rely on PDFs, Excel files, images, or audio — we help your systems do the work for you.