Intelligence. Localization. Scale.

Architecting High-Trust AI for Emerging Markets.

We specialize in production-grade RAG systems and LLM orchestration, bridging the gap between raw compute and regional market intelligence.

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The Taupe AI Three-Tier Architecture

01 // THE ENGINE

Intelligence Layer

Powered by Gemini 3 Flash. We implement strict hyperparameter tuning (low temp, top-p) to ensure zero-hallucination professional outputs.

Initialize Engine
  • + Google GenAI API
  • + High-Speed Synthesis
  • + Safety Filtering
02 // THE PERSONA

Brand DNA Filter

A specialized System Instructions framework that localizes AI for West African markets (Katiola, Bondoukou), adopting the tone of a Top-Tier Strategic Consultant.

Activate Persona
  • + Strategic Consultant Voice
  • + Market Context Injection
  • + Executive Formatting
03 // THE MEMORY

Knowledge Vault

Advanced RAG via Weaviate. We use Recursive Character Text Splitting with 1200-chunk overlap for deep contextual memory and source-cited retrieval.

Access Vault
  • + Weaviate Vector DB
  • + Docker & WCS Support
  • + Metadata Source Citing

Deployment Ready Solutions

Production blueprints configured for corporate intelligence layers, executive tooling, and low-resource data modernization.

Legal & Research RAG Bot

Parsing complex PDF/DOCX structures into actionable insights with full semantic parsing and metadata source verification.

Production Stack: Python | Unstructured | Weaviate

Brand Voice Generator

Automating executive-level LinkedIn and corporate content that mirrors the exact communication DNA of elite consulting partners.

Production Stack: Streamlit | Gemini 3 Flash

Tagbana Speech Collector

A mobile-first crowd-intelligence interface built to ingest clean indigenous language data. Features native browser audio clock controls to capture high-fidelity inputs directly from messengers.

Production Stack: Gradio 6.0 | FFmpeg | 16kHz Mono Target Launch Prototype →

Tagbana Peer Validator

A consensus-driven validation pipeline designed to isolate noise, filter low-quality audio blocks, and prepare validated arrays for deep learning ASR models (Whisper/Wav2Vec2).

Production Stack: Audio Datasets | Secure HF Repository Secrets Launch Prototype →