Gain access to top talent from reputable universities globally to work on your Deep Tech projects with co-funding of up to 70%* from SGInnovate. These highly skilled talent will bring in fresh perspectives that add value to your organisation. Increase your brand awareness by being a part of the programme’s outreach activities.
* Subject to terms & conditions, see FAQ for details
Founder & CEO, Polybee
Co-Founder, Interviewer.AI
Access to Top Talent
Attract top Deep Tech talents – undergrads to PhDs from reputable universities across the globe.
Co-Funding
Attract top talent with co-funding from SGInnovate, up to 70% of the total stipends for the programme.
Brand Outreach
Increase your brand awareness by being a part of the programme’s outreach activities.
Fresh
Perspectives
Bring in energetic students with fresh perspectives to test out new ideas or roles for your organisation.
Networking
Opportunities
Get plugged into the Deep Tech ecosystem through exclusive invites to various industry and community events.
Company Profile
Your organisation should be a startup specialising in Deep Tech with proof of financial stability.
Deep Tech Projects
Projects offered must be related to Deep Tech, such as Artificial Intelligence, Blockchain, Cybersecurity, Quantum, and Robotics.
Skilled Mentor
Mentors should demonstrate technical expertise, ideally with five years of technical and two years of mentorship experience.
Please see the FAQs for more details and eligibility criteria.
Click here for FAQsClick here for the full list of past Deep Tech projects.
Company applications close on 31 October 2022.
Two apprentices with SGInnovate’s Summation Programme discuss their apprenticeships at Singapore-based startups Taiger and See-Mode Technologies.
Shen Yue, a recent apprentice with SGInnovate’s Summation Programme, shares her experiences as an apprentice at Singapore-based artificial intelligence company Dathena.
SGInnovate’s Summation Programme alumnus Gabriel Wong shares how the apprenticeship has helped him better understand the field of deep tech.
Topics: A.I., Data Science / Data Analytics, Startups, Talent
