Technology Solutions
Machine Learning Platform (IMLP)
Getting a machine learning model out of development and into the real world shouldn't take months.
The Eighty20 Integrated Machine Learning Platform (IMLP) is a pre-built MLOps framework that deploys securely into your existing cloud environment. It automates the heavy lifting, from data ingestion to continuous model monitoring, so your data science team can stop worrying about infrastructure, focus on modelling and building use-case that deliver repeatable, measurable business value at scale.
Enterprise-grade machine learning at scale
AWS
Native (Azure on request)
E2E
Ingest → Train → Deploy → Monitor
AUC ROC on recent leads model
Less than
Re-train cycle time
Features you'll love
Data Ingest
Batch and streaming ingestion with schema enforcement and lineage tracking.
Feature Store
Versioned, shareable feature definitions consumable by all production and training models.
Model Build & Versioning
Auto-retraining pipelines, model registry, experiment tracking and approval workflows.
Deployment & Monitoring
API and batch deployment paths, drift detection, performance monitoring and value tracking.
GenAI & Agentic Patterns
RAG, GraphRAG, LangGraph and MCP-based agentic workflows for customer service, knowledge and automation.
Security & Governance
Role-based access, audit logging, encryption, and compliance with POPIA and client policies.
Want to know more? Let us help.
Operationalised Machine Learning Use-Cases
Risk &
Retention
Predict customer churn and identify
at-risk behaviour long before it happens.
Hyper-Personalisation
Power next-best-action and recommendation engines that natively link to your CRM.
Time-Series Forecasting
Operationalise advanced demand planning, sales forecasting, and trend analysis.
Product Recommenders
Deploy SKU-level and category-based engines to increase basket value and partner revenue.
Profit & Budget Optimisation
Simulate commercial outcomes, test behavior values, and manage program spend dynamically.
Client Impact
Financial Institution
Productionised loyalty decisioning
Challenge
Client needed a personalised loyalty programme with dynamic incentives but lacked the ML infrastructure to deliver it at scale.
Solution
IMLP deployed with uplift framework, behavioural response models and optimisation engine for individualised incentive allocation.
Result
Shift from static rewards to personalised incentives.
Programme economics managed
within 5% monthly.
Large Insurer
Leads conversion
Challenge
Insurance provider's sales team had no way to prioritise leads by conversion likelihood.
Solution
ML propensity model on IMLP deployed, scoring leads in near real time, with automatic retraining and drift monitoring.
Result
238% improvement in conversion in first period.
71% overall improvement.
Ready for Eighty20 to help you too?
Client References
Several ML models have been operationalised with measurable value, including significant improvements in conversion rates.
Senior Executive, Data Insights, Assupol
Their technical expertise combined with an agile, pragmatic and solution-oriented approach enabled us to deliver significant value back into the organisation within a short period of time.
Head of Data Science, HomeChoice
