CUSTOM AI DEVELOPMENT · MLOPS
AI-POWERED MACHINE LEARNING SOLUTIONS
Get models out of notebooks and keep them accurate in production.
We help organisations deploy, monitor and scale machine learning with MLOps: CI/CD for models, deployment across cloud, on-premise or edge, version control and automated retraining, and monitoring for drift and performance degradation. Delivered by the same team that builds Prime AI’s production software.
Deployment on cloud, on-premise or edge
CI/CD, version control and automated retraining
Same team as Prime AI’s production software
THE PROBLEM
WHY MODELS FAIL AFTER THE PROOF OF CONCEPT
Building a model is only the start. Most of the effort lies in running it reliably.
STUCK IN DEVELOPMENT
Models that work in notebooks never reach production systems.
SILENT DRIFT
Accuracy degrades as data changes, and nobody notices until results suffer.
MANUAL PIPELINES
Data preparation and retraining depend on individuals and ad hoc scripts.
GOVERNANCE GAPS
Access, audit trails and compliance are added as an afterthought.
WHAT WE BUILD
MLOPS FOR RELIABLE PRODUCTION AI
The infrastructure and processes that keep models useful.
MODEL DEPLOYMENT & INTEGRATION
Deploy models across cloud, on-premise or edge environments, with CI/CD for minimal downtime.
MODEL MANAGEMENT AT SCALE
Version control and automated retraining keep models current, with consistent performance as you scale.
MONITORING & DRIFT DETECTION
Monitoring that detects drift, bias and performance degradation, with automated alerts and retraining triggers.
DATA PIPELINES & WORKFLOW AUTOMATION
Automated preprocessing, feature engineering and pipeline orchestration for faster experimentation and collaboration.
SECURITY, COMPLIANCE & GOVERNANCE
Access controls, audit trails and data encryption, with governance policies for ethical and regulatory compliance.
Have models that need to reach, or survive, production? Tell us about it.
OUR ENGINE
PROPRIETARY TECHNOLOGY, NOT A RESOLD PLATFORM
We do not resell a general-purpose platform. Three in-house technologies do the heavy lifting, each matched to the task.
NEURAL NETWORKS
Small, agile networks for classification, surrogate development, forecasting and pattern recognition.
In MLOps: retraining small, agile networks automatically as data changes.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In MLOps: managing and monitoring larger convolutional models in production.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In MLOps: optimising model and pipeline settings.
The same team and engine are behind Prime AI’s production software, including the API d'ID de périphérique persistant and the Clothing Size Finder used by retailers today. You work with engineers who ship production AI, not slideware.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
FAQ
MLOPS FAQ
MLOps applies software engineering discipline to machine learning: automated deployment, version control, monitoring, retraining and governance, so models stay accurate and reliable in production.
Across cloud, on-premise or edge environments, with CI/CD so updates reach production with minimal downtime.
Monitoring tracks model performance and input data over time, detects drift, bias and degradation, and triggers alerts or automated retraining.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
RELATED
CUSTOM AI IN RELATED INDUSTRIES
TELL US ABOUT THE MODELS YOU NEED TO RUN
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.