Custom Algorithms - Tailor-Made Algorithms for Real-World Impact
We craft custom algorithms for your most complex data challenges. Leveraging deep expertise, we deliver practical, efficient, and profitable AI solutions that are easy to operate and aligned with your business goals, ensuring your investment translates into measurable results.
Why Partner With Us for Algorithm Development?
Partnering with us means choosing a team dedicated to clarity and practical results. We combine academic rigor with industry experience to build solutions that work.
- Knowledge-Driven. Leveraging deep expertise (PhD in ML, ~10 years experience), we provide insightful strategies and develop robust, effective algorithms.
- Pragmatic & Fit-for-Purpose. We focus on realistic, achievable AI solutions that deliver genuine business value. Our recommendations are grounded in what’s practical and effective for you.
- Value-Focused & Profitable. Every step is geared towards achieving measurable outcomes. We design for real-world use, focusing on affordability, ease of operation, and profitability.
Understanding & Planning
A successful algorithm starts with a deep understanding of your goals. We collaborate closely to define the problem, business objectives, and the value you want to deliver.
- Defining Success: We establish clear, measurable KPIs to define what success looks like and how to measure it.
- Data Deep Dive: We thoroughly assess your data landscape—its sources, quality, and nuances—to inform our approach.
- Infrastructure & Constraints: We evaluate your existing infrastructure and operational constraints to ensure our solution is a perfect fit.
The output is a well-defined project plan that ensures our development efforts are targeted, efficient, and aligned with your strategic goals.
Key Activities
- Problem Analysis
- Stakeholder Workshops
- Data Source Analysis
- Infrastructure Assessment
- Project Planning
Prototyping & Iterative Development
With a clear plan, we move to the core of algorithm creation using an iterative and pragmatic approach.
- Data Preparation & Exploration: We meticulously collect, clean, and explore data to uncover patterns and prepare it for robust modeling.
- Iterative Model Building: We start with a simple baseline, then iteratively develop and refine models, selecting the simplest, most interpretable solution that is fast, efficient, and easy to operate.
- Fit-for-Purpose Design: Algorithms are designed for their final environment, whether it's a resource-constrained embedded system (C/C++) or a scalable cloud platform (Python).
Key Activities
- Data Collection & Cleaning
- Exploratory Data Analysis
- Baseline Modeling
- Iterative Prototyping
- Performance Optimization
Production, Monitoring & Support
An algorithm only delivers value when it’s seamlessly integrated and performs reliably. Our final phase makes this a reality.
- Robust Productionalization: We translate the algorithm into production-grade code (C/C++ or Python) optimized for its target environment.
- Monitoring & Documentation: We implement robust monitoring to track real-time performance and provide clear, comprehensive documentation for easy operation and maintenance.
- Roll-out & Support: We assist with deployment strategies for a smooth transition and provide ongoing support to ensure continued success and identify future enhancements.
Key Activities
- Embedded C/C++ Development
- Cloud Microservices (Python)
- Performance Monitoring
- Comprehensive Documentation
- Roll-out strategy
- Post-Launch Support
Let's Talk
We love to hear more about your business and ideas for using data to reach your goals.
Say Hej