ML development

ML development for SMEs, Enterprises and Govt. agencies

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ML Development (AI)

Tailored AI/ML solutions that drive impactful business transformations.Explore

ML Discovery Workshop

Expert-led workshops to uncover valuable ML opportunities.Explore

Machine Learning services

Smart machine learning solutions for data-driven decisions.Explore

Big Data services

Powerful big data solutions to unlock actionable business insights.Explore
100s
of projects delivered
90%
client retention
100%
American presence
28
years in the industry

ML Discovery Workshop

WNPL’s ML Discovery Workshop uncovers AI/ML opportunities within your business. We conduct an in-depth analysis of your objectives, challenges, and data resources to identify scalable ML solutions. The workshop covers AI and ML fundamentals, trends, and security considerations, fostering a collaborative brainstorming session. By the end, you'll gain actionable insights on how AI and ML can enhance efficiency, security, and ROI across your operations.

ML development

With years of industry experience, our team of experts bring extensive knowledge in discussing, analysing and problem-solving your AI & ML needs.

We partner with
Microsoft AI Cloud Partner

Machine Learning Services

Our machine learning services cover the entire lifecycle, from data preparation and model training to deployment and monitoring. We develop custom ML models that deliver predictive insights and automate complex tasks, improving efficiency and decision-making.

AI Development

We provide end-to-end AI development services, from conceptualization to deployment. Our team designs and implements AI solutions tailored to your business needs, ensuring seamless integration with your existing systems and delivering measurable business value.

AI Consultancy

Our AI consultancy offers expert guidance on implementing AI strategies that align with your business goals. We help you understand AI technologies, assess their potential impact, and develop actionable plans to integrate AI into your operations.

Big Data Services

We offer comprehensive big data services to manage, process, and analyze large datasets. Our solutions transform raw data into actionable insights, helping you make informed decisions and gain a competitive edge.

Generative AI

We specialize in generative AI, creating systems that can produce new, original content such as text, images, and music. These solutions can drive innovation, enhance customer experiences, and open new revenue streams for your business.

AI Discovery

Our AI Discovery service helps uncover valuable AI opportunities through a comprehensive analysis of your business objectives, challenges, and data resources. This includes education on AI basics, trends, and applications, fostering creative brainstorming for innovative solutions. You'll gain insights into how AI can enhance your operations.

AI Readiness

We empower your organization with AI by assessing your tech infrastructure, enabling new AI apps and integrations with existing applications and legacy systems. We guide on AI readiness, strategic road mapping, and upskilling your workforce for seamless AI adoption.

Ethical AI

WNPL ensures that all AI systems we develop are transparent and their decisions can be explained, fostering trust and understanding among users and stakeholders. We also focus on Bias Mitigation, Privacy & Data Security, Regulatory Compliance as well as Stakeholder Engagement.

Business analysis

Business analysis is crucial for aligning AI solutions with your unique business objectives and challenges. We initiate with an in-depth analysis of your business needs, objectives, and challenges. Leveraging our expertise in AI, we identify specific opportunities where AI technologies can optimise processes, enhance decision-making, and create new value propositions for your business. We conduct a return on investment (ROI) analysis to ensure that the proposed AI initiatives are cost-effective and aligned with your financial goals. The process concludes with a strategic roadmap for AI development & implementation.

Data requirements

Our AI consultancy service recognizes the pivotal role of data in powering AI solutions. We emphasise the importance of high-quality, relevant data, ensuring that the data used is accurate, current, and directly applicable to the specific AI applications. Our team assesses the volume and variety of data needed. We help establish strong data governance frameworks, focusing on data collection, storage, and management practices. Our service includes thorough guidance on data privacy and regulatory compliance.

Implementation & Prototype

After thorough business analysis and understanding the data requirements of your AI objective, an AI prototype is built with Machine Learning. Employing agile methodologies, a functional prototype is built through Data Integration & Model Training, Testing & Validation, and Iterative Refinement.
Some customers to who WNPL technical team members have delivered products/consultancy/services.

Some of our work

WNPL serves many industries including startups, SMEs and large enterprises.
Over the years we’ve had the pleasure to work with many great clients, some of which include:

ALDI

WNPL specialises in building sophisticated tracking and reporting systems for global organisations to enhance their operational efficiency. Our solutions include workforce synchronisation through mobile applications and alerts for critical tasks and changes. These systems are globally deployed and adhere to the highest standards of security and reliability. WNPL continues to develop and enhance a range of applications to support the efficiency management needs of our clients.

Simplex Living

Simplex Living is an emerging platform aimed to help make the lives of apartment residents and their building managers easier and more streamlined. With many apartments and residents signing up, Simplex Living is on the route to becoming the new norm in resident-and-apartment communication.

Shriro

A platform for enhancing their product presentation and customer education initiatives. This platform, which included tablet-based marketing and presentation tools was developed for use by their associates and partner stores in international locations. A secure backend server was also developed to manage the products. The app, while not publicly available to download, is distributed internally by Shriro and deployed internationally, and would help retailers who deal in Shriro products better present these products and provide their customers with the best information to make the right decision in purchasing quality products.
The reviews listed above are provided by WNPL and have not been fact checked or provided by the clients. Claims made are purely the expressions of WNPL.
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Why choose WNPL

We understand the importance of building great, long-term partnerships through delivering high quality software, on time at affordable rates. With many years of industry experience and knowledge we’re committed to our work, and you can be assured you’re in good hands.

AI Services

Machine learning, Big Data, Consultancy, Discovery workshop, Prototype, AI Readiness.

Intellectual Property

Treated with utmost confidentiality. All communications & discussions are confidential.

Complex ideas

All levels of complexity, mathematical rigour and R&D welcome.

Support & maintenance

Support included to cover all updates & change requests. Quick turn-around & easy to manage.

Methodology & practices

Software engineering principles and development practices like Agile followed.

On-time delivery

Project deliveries are on time for all milestones and final product. Phased delivery.

Our services

  • Machine Learning (AI)
  • Custom Software Development
  • Operational Efficiency Applications
  • Big Data & Decision Trees
  • Mobile App Development
  • Web App Development
  • API Integrations & Development
  • Cloud Development
  • Digital Transformation

Our development process

WNPL’s ML services are designed to deliver reliable, production-grade machine learning models that solve real business problems, leveraging your data and aligning with your operational goals.
The key steps in our process are:
1
Initial consultation & data review
 
We start by understanding your objectives and reviewing available data. This ensures we identify a business-aligned ML use case and assess whether your data supports meaningful model development.
2
Problem framing & ML opportunity mapping
 
We frame the ML task clearly - classification, regression, clustering, anomaly detection, etc. We identify the most valuable application areas with measurable ROI and stakeholder alignment.
3
Data preparation & feature design
 
We process, clean, and transform your data into model-ready form. This includes selecting or engineering features that best represent the patterns we aim to model.
4
Model selection & baseline development
 
We select suitable algorithms based on your goals, data size, and constraints. We build baseline models and establish performance benchmarks as a reference for tuning.
5
Iterative raining & evaluation
 
We train, test, and compare multiple models using cross-validation and real-world test sets. We focus on performance metrics relevant to your use case (e.g. precision, recall, RMSE).
6
Model explainability & validation
 
We ensure the model is interpretable and aligned with business expectations. We use techniques like SHAP, feature importance, or rule extraction to promote trust and adoption.
7
Business simulation & pilot testing
 
Before full deployment, we simulate the model's output in a business workflow to validate assumptions, assess risk, and align outputs with your team’s expectations.
8
Deployment & API integration
 
We deploy the model into your preferred environment - via APIs, embedded logic, or pipeline hooks. We enable batch, real-time, or scheduled usage depending on business needs.
9
Monitoring & re-training strategy
 
We monitor live performance using drift detection, alerts, and usage metrics. We design re-training schedules or automated feedback loops to ensure long-term effectiveness.
10
Support, handoff & lifecycle management
 
We support your team with documentation, handover sessions, and model lifecycle planning. We can also continue as your ML partner for iterative improvements and expansion.

Next steps

1
Contact: We'd love to hear about your Machine Learning project! Get in touch to arrange a face-to-face, phone or online chat.
   
2
Discuss: We'll reach out to you to discuss project details (we're happy to sign an NDA as needed).
   
3
Quotation: A project quotation, including cost & timeline, will be provided to you. There are no fees or obligation for this process.

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