A small but mighty efficient R&D partner in Finland


Accelerating Development and Reducing R&D costs
Across diverse industrial sectors, the imperative to shorten development cycles is critical for competitiveness. Our approach directly addresses this challenge by applying advanced nonlinear modeling to fundamentally streamline R&D. Often, production data suffices, but when experimentation is necessary, we use our special approach to experimental design in combination with our nonlinear modelling capabilities. Our methodology systematically plans trials to reveal the underlying nonlinear process behavior directly, avoiding the inefficiencies of traditional one-factor-at-a-time or full-factorial grids and delivering actionable models with dramatically fewer experiments.

The result is a decisive reduction in experimentation—often by 50% or more—which translates into significantly shorter time-to-market, lower R&D expenditures, and superior achievement of target product specifications.

Featured Case Studies & Publications:

Speeding development of an enantioselective enzymatic process for a pharmaceutical intermediate
Abhay Bulsari, Eero Kiljunen and Mirva Suhonen
BioProcess International, Vol. 5, No. 8 (September 2007) 52-63

Nonlinear models tune precipitation hardening
Abhay Bulsari, Ilkka Vuoristo and Ilpo Koppinen
Advanced Materials and Processes, Vol. 168, No. 5 (May 2010) 31-33

Nonlinear modelling speeds up tyre rubber recipe development
Abhay Bulsari, Jouko Ilomäki, Mika Lahtinen and Risto Perkiö
British Plastics and Rubber (June 2015) 28-29

How nonlinear models of crystallinity and strength of polylactide/glycolide implants speed up product development
Abhay Bulsari, Mikko Huttunen, Kimmo Lähteenkorva and Esa Suokas
Medical Plastics News (December 2015) 38-41

Nonlinear models help cement process and product development
A. Bulsari, M. Frankenhaeuser, S. Lindfors and M. Westén
Global Cement Magazine (November 2016) 24-28

Nonlinear models speed development of crosslinked polyethylene foam
Abhay Bulsari and Markku Talja
Advanced Materials and Processes, Vol. 176, No. 7 (October 2018) 21-25

The Additive Manufacturing of tool steels: how non-linear modelling enables precise hardness control
Ulrik Beste and Abhay Bulsari
Metal Additive Manufacturing, Vol. 10, No. 4 (Winter 2024) 165-171

The Foundation of Our Success:

This consistent performance is achieved by integrating deep expertise in industrial mathematics with process-specific knowledge and a powerful proprietary software infrastructure.

While the direct benefits—reduced development time, lower costs, and minimized resource consumption—are substantial, an equally critical outcome is the enhanced fundamental understanding of materials and processes that our nonlinear models provide, driving smarter, more sustainable innovation.



30+
Years of Industrial R&D Expertise
150+
Projects for Industry
to < half
Typical R&D Time & Effort
70+
Clients

Explore Our Expertise

Learn about our specialised approach to nonlinear modelling and how we can help your organisation.

Introduction

Overview of nonlinear modelling for industrial applications

Understanding Nonlinear Modelling

Fundamental issues and applications

Benefits of Nonlinear Modelling

Advantages over traditional approaches

Services

Our consulting and project services for industrial R&D

Publications

Technical articles and papers

Tools

Our Software Suite

Contact

Get in touch with us

Links

Useful links and references

Proven methods. Measurable results. Since 1996.