MLOps. From experimentation to dependable production
Services
Machine learning models often stall between experimentation and real-world use. We design and run robust MLOps pipelines that enable teams to train, deploy, monitor and govern their own models in a controlled, repeatable way across public, enterprise, and regulated environments.
Trusted to operationalise machine learning at scale
What if machine learning didn’t stall after experimentation?
Controlled, repeatable pipelines that move models from development to operation, with monitoring, versioning and governance built in.
We work with organisations who
Operate in public, enterprise or regulated environments where governance and auditability matter
Build machine learning models but struggle to run them reliably in production
Need consistent, repeatable pipelines for training, deployment and rollback
Struggle to get accurate answers from traditional search tools
Are looking to reduce manual effort and operational overhead across the ML lifecycle
Want visibility into model performance, drift and versioning
Deliverables that drive momentum
Automate delivery. Improve reliability. Stay in control.
Automated ML pipelines
For training, testing, deployment and rollback.
Model monitoring & drift detection
Visibility into performance, data drift and model behaviour over time.
Model versioning & registries
Clear version control across models, data and configurations.
Governance & auditability
Defined approval flows, traceability and compliance across the model lifecycle.
Production-ready deployment
Consistent, repeatable deployment into cloud, hybrid, or on-premise environments.
Continuous optimisation
A grounded view of technical scope, effort and investment required to move forward.
“We weren’t just exploring AI, we had real business problems to solve. Processing millions of identity documents demanded secure, private infrastructure we could control. Catapult helped us deploy a high-performance AI platform inside our own environment, with zero data leakage and total transparency. Now we’re confident in scaling AI, without compromising speed, cost, or trust”
Head of Data & AI
Regulated Financial Services Firm
Our approach. From experimentation to operation
Build. Deploy. Operate.
Build repeatable pipelines
We design automated pipelines for training, testing and packaging models, replacing manual processes with consistent, versioned workflows that teams can rely on.
Deploy with confidence
Models are deployed through controlled, repeatable processes with support for rollback and environment-specific configuration, ensuring reliable operation across cloud, hybrid, or on-premise setups.
Operate, govern & monitor continuously
We implement monitoring, drift detection and clear governance across the model lifecycle, providing visibility, auditability and confidence as models evolve in production.
Key technologies
We use proven CI/CD practices for machine learning to automate how models are trained, tested, deployed and updated. Repeatable pipelines are combined with model registries, feature stores and monitoring, all integrated directly with cloud platforms including Azure, AWS and GCP to support reliable, governed operation at scale.
Angular
React
Nest JS
SQL
No SQL
Node JS
Rabbit MQ
Java
Google Cloud
AWS
Microsoft Azure
Jenkins
GitHub Actions
Azure DevOps
OKTA
Auth0
Entra ID
Jira
ELK
Prometheus
Cloud Watch
Modular Monolith
DDD
Claude
Cursor AI
Open AI
.Net
The work we’ve brought to life
How MLOps transformed identity verification accuracy, cost and scale
Why clients choose Catapult
20+
Years of software development excellence
400+
Satisfied clients and thousands of successful projects
$
On time, on-budget and on-scope delivery
An ISO 27001 certified company
Fixed price guarantee. We guarantee to deliver the outcome we’ve agreed with you, at a fixed price.
Hothouse veterans. Rapid, iterative & hands-on. We’re pragmatic problem solvers who thrive on building things that work.
Secure, auditable AI designed to work with sensitive data, access controls & enterprise constraints.
Tech-agnostic, outcome-first. Guidance in selecting stacks that minimise costs & maximise ROI
Cross-sector expertise
With deep experience across government and financial services, we design and deploy AI systems that work within real operational, regulatory, and domain-specific constraints.
Finance
Government
Education
Insurance
Banking
Telecoms
Real Estate
Retail
Gaming
Our expertise is frequently called upon
