Our Expertise and Services
ML Business Transformation.
We help businesses seamlessly transition to, and reap the impact of, machine learning and cloud technologies. Instead of one-size-fits-all solutions, we tailor our approach to meet your unique needs, ensuring measurable business value.Optimising Existing ML Capability.
We provide the expertise to enhance and productionise your efforts, adopting MLOps best practices and building custom workflows across cloud, on-premises, or hybrid environments. Our solutions often lead to substantial cloud cost and engineering time savings.Strategic Partnership.
Our diverse team, with experience from procurement to delivery, can act as a critical friend, offering strategic guidance to strengthen and de-risk your machine learning and cloud transformation initiatives.Contracting Services.
We offer a broad range of contracting services across cloud computing, data engineering, and data science, supporting all stages from value proposition design to production scaling.
ML Business Transformation.
Our founders' extensive experience across the entire machine learning lifecycle - from data collection to model deployment - enables us to deliver innovative, tailored solutions that maximise business impact.
Our ML Business Transformation services help organisations move from proof of concept experiments to scalable, production-ready solutions with a focus on business value. We work closely with your team to align our approach with your needs and goals, ensuring continuous innovation and measurable outcomes.
Core Capabilities:
- Business Value
- Machine Learning Lifecycle
- Innovation
- Reproducibility
- Production-Ready
- Value Proposition Design
- Assumption Mapping
- Lean & Agile
- Problem on a Page
Optimising Existing ML Capability.
For organisations that have already implemented machine learning but seek to enhance its performance, ImpactML can optimise existing ML capabilities, help take existing models from proof of concept to full production, incorporating Machine Learning Operations (MLOps) best practices to ensure efficient deployment, monitoring, and scaling.
Focussing on cost optimisation, improving engineering efficiency, and reducing time to market. Our solutions maximise current resources while ensuring reproducibility and long-term sustainability. Adopting MLOps brings smoother operations and increased collaboration across departments.
Core Capabilities:
- Machine Learning Operations (MLOps)
- Cost Savings
- Reproducibility
- Hybrid Environments
- Customer Service Bots
- Engineering Efficiency
- Monitoring & Alerting
- Custom Chatbot Development & Deployment
Strategic Partnership.
ImpactML believes in building strategic partnerships with our clients, acting as a critical friend that offers both technical expertise and strategic insight.
Our team of machine learning, data science, and data engineering professionals will work alongside your organisation to help navigate the complexities of AI business transformation. We don't just implement solutions — we engage in continuous dialogue with your team to ensure the project stays aligned with your evolving business needs.
Core Capabilities:
- Strategic Guidance
- Critical Friend
- Partnership
- AI-powered transformation
- Collaboration
- Digital Transformation
Contracting Services.
At ImpactML, we offer a broad array of contracting services to help organisations of all sizes implement, scale, and refine their machine learning and cloud infrastructures. Whether you need support at the conceptual stage, assistance with building AI-based propositionsor guidance through production scaling, our team is prepared to engage at any point in the project lifecycle.
Our contracting services cover a variety of areas, including cloud computing, data engineering, and data science. From setting up serverless architectures to managing complex pipelines, we offer the flexibility to meet your organisation's needs as they evolve, ensuring scalability and business impact at every stage.
Core Capabilities:
- Scalability
- Pipelines
- Serverless
- Cloud Computing
- Data Engineering
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Computer Vision
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Generative AI
- Development Operations (DevOps)
- Machine Learning Operations (MLOps)