Algorithm Development - Tailor-Made Algorithms for Real-World Impact

We specialize in crafting custom algorithms that tackle your most complex data challenges. Drawing on deep expertise in machine learning and foundational principles, we deliver solutions that are innovative yet practical, efficient, and aligned with your business goals. We focus on fit-for-purpose tools to create understandable, affordable, and profitable AI solutions that are straightforward to operate, ensuring your investment translates into measurable results.

Our Foundation - Deep Expertise, Practical Solutions

With a PhD in Machine Learning for time-series and nearly a decade of hands-on experience since 2016, our algorithm development is rooted in deep technical expertise and a commitment to practical, value-driven outcomes. We transform complex data into powerful, working solutions.

Our approach is based on selecting fit-for-purpose tools for the simplest, most cost-effective solution. We create AI that is effective, understandable, transparent, affordable, profitable, and easy to operate, avoiding unnecessary hype.

We specialize in algorithms for sensor data (time-series, IMUs, GPS), spatial, and spatio-temporal data, leveraging foundational mathematics, statistics, sensor fusion, signal processing, and machine learning. While experienced with text and images, our core strength is in these complex data types which are collected over time. We build solutions for both embedded systems (C/C++) and cloud environments (Python).

Key Expertise Areas

  • Machine Learning
  • Time-Series & Sensor Data
  • Spatial & Spatio-Temporal Data
  • Sensor Fusion & Signal Processing
  • Statistical Modeling
  • Embedded AI (C/C++)
  • Cloud AI Solutions (Python, GCP)

Phase 1: Understanding & Planning

Every successful algorithm is built on a solid foundation of understanding. We kick off by collaborating closely with you to truly grasp the problem you aim to solve and the specific business objectives you want to achieve. This isn't just about data; it's about the value you want to deliver to your customers.

  • Defining Success: We work with you to articulate the customer value proposition and establish clear, measurable Key Performance Indicators (KPIs). What does success look like, and how will we measure it?
  • Data Deep Dive: We thoroughly assess your data landscape – its sources, quality, volume, velocity, and veracity. Understanding the nuances of your data is critical.
  • Infrastructure & Constraints: We evaluate your existing infrastructure, computational capabilities (batch vs. streaming, real-time requirements, caching strategies), and any operational constraints.

The output is a well-defined project plan, ensuring that our subsequent development efforts are precisely targeted, efficient, and directly aligned with your strategic goals.

Key Activities

  • Problem Analysis
  • Stakeholder Workshops
  • Data Source Analysis
  • Infrastructure Assessment
  • Project Planning

Phase 2: Prototyping & Iterative Development

With a clear understanding and plan in place, we transition to the core of algorithm creation. Our approach is iterative and pragmatic:

  • Data Preparation & Exploration: We meticulously collect, clean, and explore the relevant data. This crucial step involves uncovering patterns, identifying anomalies, and preparing the data for robust modeling.
  • Iterative Model Building: We always start by establishing a simple baseline model to provide a benchmark. From there, we iteratively develop, test, and refine various algorithmic approaches. Our philosophy is to select the simplest, most interpretable model that effectively solves the problem, ensuring it's fast, easy to operate, and resource-efficient.
  • Fit-for-Purpose Design: Algorithms are designed with their final operational environment in mind, whether that's a resource-constrained embedded system requiring efficient C/C++ code, or a scalable cloud environment leveraging Python microservices.

This iterative cycle of prototyping and refinement allows for flexibility, incorporates learnings quickly, and ensures the resulting algorithm is not only robust and efficient but genuinely tailored to your specific needs and constraints.

Key Activities

  • Data Collection & Cleaning
  • Exploratory Data Analysis
  • Baseline Modeling
  • Iterative Prototyping
  • Performance Optimization

Phase 3: Production, Monitoring & Support

An algorithm only delivers true value when it’s seamlessly integrated into your operations and consistently performs as expected. Our final phase is dedicated to making this a reality:

  • Robust Productionalization: We translate the validated algorithm into production-grade code, optimized for its target environment – be it efficient C/C++ for embedded systems or scalable Python microservices for cloud deployment.
  • Comprehensive Monitoring & Documentation: We implement robust monitoring solutions to track the algorithm's performance in real-time, ensuring ongoing reliability and early detection of any issues. Clear, comprehensive documentation is provided for ease of understanding, operation, and future maintenance.
  • Seamless Roll-out & Ongoing Support: We assist with deployment strategies, such as A/B testing or blue/green deployments, to ensure a smooth transition. Our commitment doesn't end at deployment; we provide ongoing support and follow-up to ensure continued success and help identify opportunities for future enhancements.

We see ourselves as your partners in this final stage, ensuring a smooth transition from a developed algorithm to a solution delivering tangible, real-world impact.

Key Activities

  • Embedded C/C++ Development
  • Cloud Microservices (Python)
  • Performance Monitoring
  • Comprehensive Documentation
  • Roll-out strategy
  • Post-Launch Support

Our Commitment - Why Partner With Us for Algorithm Development?

Choosing Kotte Consulting means opting for a partner dedicated to clarity, practicality, and genuine results. We combine academic rigor with extensive industry experience to build solutions that truly work and are easy to manage.

  • No-Hype Expertise. We deliver solutions grounded in solid data science principles and deep technical knowledge, not fleeting trends. You get what you need, explained clearly, leveraging our PhD-level expertise.
  • Fit-for-Purpose Solutions. Your unique problem dictates the solution. We select and develop algorithms that are the simplest, most cost-effective, and best fit for your data, goals, and operational constraints, ensuring they are understandable and transparent.
  • Focus on Operability & Profitability. An algorithm is only valuable if it can be effectively deployed, maintained, and contributes to your bottom line. We design for real-world use, considering affordability, ease of operation, and profitability.

Let's Discuss Your AI & Data Goals

We love to hear more about your business and ideas for using data to reach your goals.

Say Hej