AI Tools for Research 2026

The age of best AI tools for researchers has arrived — reshaping how scientific research is conceptualized, executed, and accelerated. No longer limited to passive automation, today's agentic AI systems actively interpret data, generate hypotheses, conduct experiments, and refine outputs without constant human intervention. This leap from procedural automation to cognitive autonomy marks a seismic shift in research workflows across disciplines — from computational biology to material science.

Artificial intelligence is no longer a distant vision for the healthcare industry — it’s here, actively reshaping how medical professionals make decisions, interact with patients, and manage workflows. A key advancement at the intersection of AI and medicine is the emergence of Agentic RAG, a powerful combination of autonomous agents and Retrieval-Augmented Generation (RAG).

Multi-Agent AI Systems are redefining autonomy by enabling networks of specialized agents to operate collaboratively toward shared goals. At the core of this capability is Agent2Agent communication, allowing agents to exchange data, coordinate tasks, and adapt in real time — unlocking distributed intelligence at scale.

Business process automation (BPA) has evolved from simple rule-based systems to intelligent ecosystems that drive real-time decision-making and operational agility. As organizations shift from traditional automation to autonomy, the integration of AI—especially agentic AI—and computer vision is not just enhancing efficiency; it's redefining what's possible.

How We Tested AI Tools for Development – and What We Learned. Digest from the Cody Solutions Team.

The increasing reliance on IoT devices in homes and businesses has improved efficiency but also introduced numerous cybersecurity risks. As more smart devices connect to networks, the need for stronger security becomes critical. Fortunately, as technology advances, cybersecurity follows… The White House declared the launch of the U.S. Cyber Trust Mark program—an initiative designed to enhance security standards for smart devices. The program currently focuses on consumer IoT, but the certification is expected to influence BPA in the future, paving the way for new standards in

Many changes are taking place in retail, and process mining helps companies meet these challenges and make the most of new opportunities. The number of online stores is expected to double in the next decade, so that retailers are dealing with more complex logistics and supply chain issues. To keep up, they need to optimize and adapt their fulfillment operations.

In the manufacturing industry, efficiency, precision, and scalability are critical to staying competitive in a fast-paced global market. With complex workflows, strict regulations, and a constant need to optimize resources, manufacturing companies are increasingly turning to Business Process Automation (BPA) to streamline operations and improve performance. BPA not only helps reduce costs and enhance productivity but also drives innovation by automating repetitive tasks and integrating processes across the supply chain.

In today’s fast-paced business environment, improving efficiency and optimizing workflows is key to staying competitive. Two powerful techniques that help businesses achieve this are Process Mining and Process Automation. While they are both essential tools for driving operational excellence, they serve different functions within an organization. At Cody Solutions, we specialize in both, helping companies streamline operations, gain insights, and automate workflows.