AI Research and Development

Companies that choose to engage external research and development teams specializing in artificial intelligence usually have specific needs and motivations, such as:

– Expertise gap: They lack their own AI expertise or require expertise that is not readily available within the organization.
– The need for rapid innovation: They want to use external teams to accelerate innovation processes, especially if the external R&D team has a track record of fast and successful implementations.
– Cost effectiveness: Building and maintaining an in-house R&D team can be costly. Outsourcing can sometimes be a more cost-effective solution, especially for short-term projects.
– Risk mitigation: By outsourcing, companies can share the risks associated with R&D, especially in areas outside their core expertise.
– Access to cutting-edge tools: External teams, especially those specializing in AI, often have access to the latest tools and technologies, ensuring that the solutions are state-of-the-art.
– Collaborative synergy: Working with external teams can foster new partnerships and collaborations, potentially leading to further business opportunities and advancements in the field.

We’re all about practical solutions and real results. Our team knows the ins and outs of AI, and we’ve worked with various industries, giving us a well-rounded view of different challenges. We easily fit into your existing setup, helping to fill any expertise gaps without the overheads of an in-house R&D team. Our goal is simple: to work alongside you, bringing fresh ideas and efficient solutions, all while keeping costs in check. When you team up with us, you get dependable expertise and a straightforward approach to innovation.

Check out our QED Labs division to review their groundbreaking accomplishments!