Melio AI
AI-Powered Automation for Africa’s Underserved Enterprises
About Melio AI
Melio AI is a plug-and-play platform that helps under-resourced teams adopt production-ready AI in under 30 minutes—no ML engineers required. From document verification and compliance checks to CV screening and policy search, Melio AI transforms repetitive business tasks into easy-to-integrate APIs. Built for SMEs in Africa and beyond, Melio’s Highwind platform empowers small teams with the same AI capabilities used by large enterprises.
The Problem
Many African SMEs are shut out of the AI revolution due to:
High costs of development and infrastructure
Lack of internal data teams
Complex toolsets and fragmented offerings
This gap limits their growth, competitiveness, and ability to digitally transform.
The AI Solution
Melio AI’s Highwind platform offers:
API-first access to fine-tuned, task-specific models
No-code testing interface
Modular chaining of AI workflows
Optimized for African data and deployment contexts
AI Models Used:
LLMs (Mistral, LLaMA, Claude, Titan) for classification, summarization, Q&A
Multimodal models (image + text) under development
Retrieval-Augmented Generation (RAG) for knowledge tasks
Custom classification/extraction pipelines for real-world data
Why It Matters
AI has the power to revolutionize productivity, but most small businesses in emerging markets are shut out due to cost and technical complexity. Melio AI democratizes access by turning enterprise-grade AI tools into easy-to-use APIs and no-code workflows. This empowers SMEs to automate repetitive tasks, cut costs, and compete globally—without hiring data scientists. Melio AI is closing the AI access gap and unlocking inclusive digital growth across Africa and beyond.
Business Model
SaaS model with monthly API subscriptions
Tiered pricing for SMEs and large enterprises
Enterprise pilots for insurance, logistics, and education clients
Progress So Far
Working prototype deployed with active SME users
RAG and LLM solutions tested in real-world scenarios
APIs fine-tuned on local use cases, with feedback-driven iterations
Past participant in AWS EEIP Program
Support & Collaboration
To scale effectively, Melio AI requires:
800–1000 GPU hours/month for fine-tuning and inference
Multi-node clusters (e.g., A100/H100) for distributed training
S3-compatible storage for unstructured customer data
Long-running endpoints to support concurrent SMEs
Fast-response environments for RAG + real-time feedback
Vote for Melio AI
Melio is proof that Africa can build world-class AI infrastructure. Vote to support AI made for African SMEs, by African engineers.