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ML Development (AI)Tailored AI/ML solutions that drive impactful business transformations.Explore
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ML Discovery WorkshopExpert-led workshops to uncover valuable ML opportunities.Explore
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Machine Learning servicesSmart machine learning solutions for data-driven decisions.Explore
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Big Data servicesPowerful big data solutions to unlock actionable business insights.Explore
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100s
of projects delivered
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90%
client retention
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100%
American presence
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28
years in the industry
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With years of industry experience, our team of experts bring extensive knowledge in discussing, analysing and problem-solving your AI & ML needs.
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Machine Learning ServicesOur 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.
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AI DevelopmentWe 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.
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AI ConsultancyOur 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.
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Big Data ServicesWe 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.
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Generative AIWe 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.
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AI DiscoveryOur 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.
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AI ReadinessWe 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.
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Ethical AIWNPL 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.
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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.
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Data requirementsOur 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.
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Implementation & PrototypeAfter 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.
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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:
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.
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Initial consultation & data review
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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.
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Problem framing & ML opportunity mapping
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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.
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Data preparation & feature design
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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.
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Model selection & baseline development
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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.
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Iterative raining & evaluation
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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).
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Model explainability & validation
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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.
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Business simulation & pilot testing
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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.
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Deployment & API integration
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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.
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Monitoring & re-training strategy
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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.
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Support, handoff & lifecycle management
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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.
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Contact: We'd love to hear about your Machine Learning project! Get in touch to arrange a face-to-face, phone or online chat. |
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Discuss: We'll reach out to you to discuss project details (we're happy to sign an NDA as needed). |
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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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