Skip to content
DSA joins Blackford Capital
Modular & Adaptive Automation

Planning for the Future

Automated solutions that address both current and future needs are a critical challenge for businesses and their management.  Yet, because of the expense of equipment, software and training, many systems are installed with the expectation that they will continue to operate productively, without change, over extended periods of time.

In fact, traditional automation methods tend to achieve short-term goals at the expense of long-term adaptive potential, often lacking the flexibility required to integrate business life cycle and market changes into the technology.  In addition, even if the systems were designed with foresight and implemented with modularity or the flexibility to be changed, the time and skill required is itself a deterrent to the ROI compounding benefits of adaptation.


Adapting For
The Future

Component 2 – 14784678

Flexibility For New Measurements

Modularity To Ease New Instrument Integration

Decoupling For Easier-To-Maintain Code

Architectures For Expanding Capabilities

Data Science Automation has been a pioneering force in applying Adaptive Automation to research, manufacturing, government and business clients that depend on maintaining competitive advantage in their respective industries.  Systems that are designed with foresight and built to adapt become strategic and economical tools for continuous process improvement and long-term competitive advantage.

Our method of applying Adaptive Automation makes it possible to address both current and future needs of an engineering, laboratory, manufacturing, or test system so that continuous improvement through incremental, adaptive change is achievable, seamless and affordable.


What We Perfect

Baseline Functionality First

Continuous Process Improvement

Software Configurability


Adaptive Designs

Modular Architectures

Affordable Incremental Adaptations

Synthetic Instrumentation


Scalable Automation Solutions

Software Reusability

Reconfigurable IO


System on a Chip

Software Instrument Drivers


Adaptive Control

Distributed Computing

Get Started Today

Robust, modular test system architectures can result in short test development times and higher test capacities; and with more products getting tested sooner, more products will be sold and shipped. High throughput testing for pass/fail results is a worthy goal, but so much more can be accomplished. Data Science Automation extends the test strategy to automated text, web and database reporting, and ultimately to process improvements focused on defect prevention.

Would you like one of our Automated Test experts to contact you to discuss your application?