Detect Technologies is a leading Industrial AI company that is building innovative solutions and cutting-edge technology for the industrial ecosystem. At Detect, our mission is to re-engineer and automate industrial processes, deliver maximum and sustained industrial productivity, and accelerate the path to industry 4.0
Our broad portfolio of patented technology and AI solutions are indigenously researched and designed with the customer in mind. We unite data, workforce, equipment, and processes to solve complex industrial problems that were previously unsolvable. With the vision of making industries safe and efficient, we are a team of passionate people working together to build state-of-the-art technology and lead a new era of industrial technology.
Founded in 2016, Detect Technologies meets the highest industry standards of safety and compliance and builds solutions for various asset-intensive industries like oil and gas, petrochemicals, power, fertilizers, metals, pharmaceuticals, renewables, and more. With machine vision, sensors, robotics, and machine learning, we aim to bring complete industrial automation through patented hardware and industrial AI. Serving clients across 6 regions, we have over 25 IPs and trademarks and have successfully deployed solutions across 100 sites globally.
Detect Technologies is trusted by some of the biggest enterprises like Shell, ExxonMobil, Adani Group, Reliance Industries, Vedanta, Aditya Birla Group, GAIL, LOTTE, Hindustan Petroleum, Indian Oil, Cipla, and many more. Visit our website to see our unique suite of industrial solutions.
Unlock operational insights for maximum productivity, reduce industrial downtime, predictively maintain asset integrity, mitigate damages, and do a lot more with Detect Technologies.
Rating Reviews
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Pros: Excellent career growth as a Software Development Engineer. Gained hands-on experience with AI and industrial IoT solutions. Collaborative team in Chennai supports learning and skill development in the industrial SaaS sector. Management genuinely supports professional growth.
Cons: Sometimes the workload can be intense, especially during critical project phases, impacting work-life balance. Streamlining some internal approval processes could also help maintain agility.
Advice to Management: Continue investing in formal mentorship programs to enhance career progression. Streamlining internal approval workflows would boost agility as this deep tech company scales. Keep fostering innovation.
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Pros: The leadership team at Detect Technologies is truly visionary in the Industrial AI and SaaS space, which is inspiring. They foster an environment where AI Engineers like me can deep dive into challenging projects, working with cutting-edge deep tech for infrastructure monitoring. This focus on innovation and strong guidance really boosts career growth and makes the work meaningful.
Cons: As a rapidly growing deep tech startup, sometimes the workload can get pretty intense, especially during critical project phases. This can occasionally impact work-life balance for those of us in the engineering team. Improving some of the cross-team communication processes could also help streamline things a bit more.
Advice to Management: Continue to champion innovative solutions while also finding ways to better manage peak workloads and maintain a healthy work-life balance for all, especially as the company scales. Investing in more formal mentorship programs could also be beneficial for new AI Engineers.
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What is the day-to-day working culture like at Detect Technologies for a software engineer in their London office?
The culture at Detect Technologies encourages collaboration and knowledge sharing among engineers. Expect a focused environment where teams work on innovative solutions for the security industry, with regular opportunities to contribute ideas.
What is the day-to-day working culture like at Detect Technologies for a software engineer in their London office?
The working culture at Detect Technologies fosters collaboration and innovation, particularly within the engineering teams. Engineers often work in agile squads, tackling complex problems in the cybersecurity space. There's a strong emphasis on continuous learning and knowledge sharing, making it a dynamic environment for professional growth.