Design and build AI systems for real business workflows - from problem scoping to prototype, MVP, and production deployment.
AI Implementation is the core of what ALTERNATIX Lab delivers. We take a business problem, assess the data and technical landscape, design an AI system architecture, build a working prototype, and deploy it into your production environment. Every project is scoped around real workflows - not demos or proof-of-concepts that never ship.
Architect end-to-end AI solutions: model selection, data flow, API design, integration points, and deployment strategy.
Automate repetitive business processes with intelligent systems that handle decisions, routing, and execution.
Build fast, test with real data, iterate. Get a working system in weeks, not months.
Connect ML models, LLMs, and third-party APIs into your existing stack cleanly and reliably.
Build monitoring and analytics dashboards that make AI outputs visible, actionable, and auditable.
Replace manual, error-prone workflows with automated systems powered by AI decision-making.
A clear business challenge or workflow that could benefit from AI. It doesn't need to be perfectly scoped - we help refine it during discovery.
Historical data, current systems, APIs, or databases relevant to the problem. Even messy or incomplete data is a starting point.
What does "working" look like? Accuracy thresholds, speed requirements, cost targets, or business KPIs the system must meet.
Someone who can approve scope, provide feedback during iteration, and champion the project internally.
A complete AI implementation for gold market prediction. Built from research to deployable product: 239 engineered features, gradient boosting models, ONNX runtime packaging, and MetaTrader/MQL5 integration for live probability-based trade execution.
Tell us about your problem and we'll respond with clarity on what's possible.