AI & ML interests

## 🤖 Uniplexity AI — Hugging Face Profile **Uniplexity AI** builds domain-specific AI models and intelligence systems for African businesses and public institutions. We specialize in **fine-tuning large language models and predictive systems for real operational environments**—where data is messy, multilingual, resource-constrained, and high-impact decisions matter. Our work focuses on transforming fragmented enterprise and public-sector data into **actionable intelligence**, embedded directly into business workflows, ERP systems, and decision platforms. --- ## 🔧 What We Build ### 1. **LLM Fine-Tuning for Business & Government Use Cases** We develop and fine-tune models for: * Financial intelligence & reporting * ERP copilots (operations, finance, HR, procurement) * Policy analysis and decision support * Compliance, audit, and regulatory reasoning * Customer and citizen service automation Models are trained on **structured + unstructured enterprise data**, not generic internet text. --- ### 2. **Multilingual & Low-Resource Language Systems** We build AI systems optimized for **African and emerging-market contexts**, including: * Multilingual LLMs (English + local & regional languages) * Cross-lingual retrieval and reasoning * Language-agnostic business intelligence * Speech-to-text and text-to-text pipelines for low-resource settings Focus: **accessibility, inclusivity, and real deployment—not benchmarks only.** --- ### 3. **AI for SMEs: Credit, Risk & Growth Intelligence** We train models for: * AI-based credit scoring using operational data * Cash-flow and revenue forecasting * Risk detection and early-warning systems * Behavioral and growth pattern analysis These models power **fairer, data-driven financing** for SMEs beyond collateral-based systems. --- ### 4. **Enterprise & Public Sector AI Models** We develop **custom models trained on institution-specific data**, including: * Process automation and document intelligence * Policy impact simulation * Resource allocation and demand forecasting * Monitoring & optimization across departments Designed for **secure, compliant, and sovereign deployments**. --- ### 5. **Edge & Resource-Efficient AI** We optimize models for: * Edge devices and low-compute environments * On-premise and hybrid deployments * Quantized and distilled LLMs * Offline-first and bandwidth-aware systems This enables AI adoption in **infrastructure-constrained environments**. --- ## 🧠 Core Focus Areas * LLM fine-tuning & alignment for enterprise data * Retrieval-augmented generation (RAG) * Predictive analytics & decision intelligence * Multilingual NLP for emerging markets * AI agents for operations & automation * Secure, scalable, and production-ready AI systems --- ## 🌍 Why Uniplexity AI Most AI models are built for Silicon Valley assumptions. We build for **real businesses, real governments, and real constraints**. Our models are: * Practical, not experimental * Affordable, not over-engineered * Designed for impact, not demos ---

Uniplexity-AI 's datasets

None public yet