Why choose Wavect for this brief?
We take on a phased product build with direct founder involvement, with scope and responsibilities agreed upfront. Our development offer connects scope decisions, reviewable increments and handover. Wavect’s offer
Start by agreeing the first deliverable, responsible people and acceptance checks with us.
What Andela publishes
Andela positions itself as the human layer for production AI: its homepage describes training models, deploying AI-native engineers, and upskilling the teams that build them.1
Its AI solutions page names data readiness, model alignment and production AI, and puts the deployable pool at more than 17,000 certified AI-native technologists.3
Its engineer page publishes three tiers: Builders for AI application engineering, Integrators for AI systems engineering, and Scalers for AI platform and production engineering.2
Its company page states talent in more than 135 countries, more than 200,000 technologists trained since 2014, and more than 2,000 global client master service agreements.5
The frame to expect is therefore a master service agreement plus a schedule of work, with term, notice and remedies set there rather than on a public page.5
Andela also publishes upskilling tracks for LLM engineering, agentic AI systems, AI in production, and AI strategy and leadership, which is a different lever again.4
Ask Andela to name the people responsible for this work and specify decision rights, deliverables and handover in the proposal. Published services do not determine the scope of your engagement.
Ask both providers who owns scope, technical decisions and acceptance, and what remains with your team after handover.