Break boundaries and explore new possibilities with custom data models, bringing answers to questions through niche equations and bespoke frameworks.
The unique challenges of a business require unique solutions. We specialize in building custom data models, using statistical frameworks to solve problems and answer advanced business questions not normally considered feasible.
Using both linear and frequentist methods, building on closed and open-source architectures and developing parameters specific to each business and market, our problem solving techniques can illuminate the unknown and calculate the uncertain.
Whether it’s optimizing operations, enhancing customer experiences, or uncovering new revenue streams, our models can help you answer difficult questions specific to your business.
Stand out in the marketplace with models that provide unique insights, enabling smarter strategies that competitors simply cannot replicate. Go beyond marketing with unique models to answer unique business questions.
Generic models can’t see the world through the lens of your business. Our custom models are meticulously crafted to align with your specific goals, challenges, and data environment.
We dare to go where others fail and answer niche questions that other providers couldn't. With access to some of the best statistical and mathematical data scientists, we pool bright minds to push boundaries and uncover innovative methods.
Work alongside our team of experts in a collaborative environment to co-develop models that truly understand the nuances of your business.
No black boxes. See exactly what goes into your model with jupyter notebooks, APIs and .py files which seamlessly integrate into infrastructure.
Our open-source expertise allows us to tap into a vast ecosystem of cutting-edge tools and methodologies, ensuring that our models are built using the latest advancements in data science and analytics and offering you a collaborative foundation for innovation.
By leveraging Bayesian methodologies, we ensure that our custom models are not only tailored to the specific needs and contexts of our clients but also equipped to evolve with their growing data landscapes, offering a level of insight and foresight that traditional statistical methods cannot match.
This predictive capability enables businesses to optimize inventory management, reduce waste, and ensure product availability, enhancing customer satisfaction and loyalty. By understanding the likely demand patterns, companies can also tailor their marketing and sales strategies to target specific customer segments at times when they are most likely to make a purchase.
By analysing factors including customer demand, market trends, competitor pricing, and inventory levels, these models can predict optimal pricing points that maximize revenue and market share. The dynamic nature of these models allows businesses to adjust prices on the fly, responding to market changes with precision and agility.
By analysing patterns in customer behaviour, purchase history, service usage, and engagement levels, alongside broader market trends, businesses can pinpoint warning signs of churn before it happens. Use this to implement targeted retention strategies, such as personalized offers, improved customer service, or tailored communication plans.
By simulating consumer decision-making processes, this model assesses how individual product attributes—such as price, quality, features, and brand reputation—contribute to overall customer preference and value perception. This enables companies to identify the most desirable combinations of product features and prioritise them in their development strategies.
This model can predict demand more accurately, identify bottlenecks, and suggest improvements in logistics and inventory management. By incorporating variables such as lead times, transportation costs, demand forecasts, and supplier performance, the model offers actionable insights to reduce costs, improve operational efficiency, and enhance service levels.
Meticulously analysing observational data through sophisticated statistical techniques, this model distinguishes between correlation and causation, identifying the true effect of one variable on another. This capability is invaluable for evaluating the effectiveness of marketing campaigns, policy changes, or new product launches, providing clear insights into what strategies work and why.
Tell us briefly about you, your business and your objectives and we'll get back to you to see how we can help.