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SUCCESS CASE
How an EdTech Company Secured Close to S$500K for an AI Career Platform
RIC helped a Singapore-headquartered EdTech company secure InnovSpur Grant support for an AI-powered career development and skills-matching platform.
CATEGORY
R&D and Innovation
CLIENT TYPE
EdTech / AI career development
GRANT TYPE
InnovSpur Grant support
FUNDING SECURED
Close to S$500,000
About the Client and Project
Client Profile
The client is a Singapore-headquartered education technology company with annual revenue exceeding S$10 million and operations across Singapore, Australia, and the Middle East. It has active partnerships with institutions including Nanyang Technological University and Swinburne University of Technology, and has delivered reskilling programmes for more than 1,200 learners across AI, cloud engineering, and product management. The company has also worked with government entities such as Tamkeen, Bahrain’s government skills agency.
Project Nature
The project involved developing a next-generation AI-powered career development platform designed to transform how learners assess skills, identify gaps, and connect with relevant job pathways. The platform focused on real-time, data-led skills assessments and job-matching capabilities, supported by AI integration layers, marketplace functionality, and scalable deployment architecture. The project aimed to move beyond conventional online learning by creating a more dynamic career development system that could support learners, training providers, employers, and institutional partners across multiple markets.
Funding Objective and Challenge
Funding Objective
The funding objective was to support development of the AI-powered Skills U Platform under the InnovSpur Grant administered by the Institute for Adult Learning. The grant covered 75% of eligible project costs and supported full-scale platform development, technology readiness progression, marketplace architecture, AI-enhanced learner outcomes, and commercial deployment planning. The funding helped the client advance from concept toward a Minimum Marketable Product with institutional collaboration and multi-market rollout potential.
The Challenge
The client was developing a next-generation AI platform in a sector where innovation claims can easily sound generic if not properly substantiated. The project needed to show more than online learning functionality. It had to explain how real-time skills assessments, job-matching capabilities, AI integration layers, marketplace design, and deployment architecture would improve learner outcomes and career pathways. The application also had to align with the InnovSpur Grant’s focus on online learning innovation, AI-enhanced learner outcomes, and enterprise technology adoption, while demonstrating technology readiness, commercial potential, execution planning, and multi-market scalability.
How RIC Supported the Client
RIC supported the client in identifying, structuring, and preparing the InnovSpur Grant proposal.
RIC’s support included:
• Matching the project to the InnovSpur Grant administered by the Institute for Adult Learning.
• Positioning the project around innovation in online learning, AI-enhanced learner outcomes, and enterprise technology adoption.
• Developing the full proposal, including technical articulation of AI integration layers, marketplace model, and deployment architecture.
• Preparing the financial modelling and business case.
• Conducting technology readiness planning across TRL 4 to 9, from prototype to market-ready product.
• Working with the client’s in-house technology team and external consultants on market adoption strategy.
• Structuring a multi-market expansion roadmap and talent development plan.
• Setting out milestone tracking, risk mitigation, and operational governance for grant reporting requirements.
RIC’s role was to turn a high-potential AI education platform into a credible, fundable, and executable innovation project.
Outcome
FUNDING SECURED
Close to S$500,000
The client secured close to S$500,000 in InnovSpur Grant funding, covering 75% of eligible project costs. The funding enabled full-scale development of the AI-powered Skills U Platform and positioned the client to launch a Minimum Marketable Product in collaboration with institutions such as Nanyang Technological University and Swinburne University of Technology. The project also supported a multi-market adoption pathway across additional geographies, industries, training providers, and large employers.
What This Means for Similar Companies
For EdTech and AI-enabled learning companies, grant support depends on more than having an AI product idea. The project must show how technology improves learning outcomes, career pathways, market adoption, and enterprise relevance. This case also shows why technology readiness, deployment planning, governance, and commercial strategy matter in innovation funding. Companies building AI platforms should be prepared to explain the product architecture, implementation roadmap, learner impact, institutional partnerships, and market expansion logic in one coherent funding case.
