Intura Selected for Startup Campus: GenAI by Innovation Factory × Google Cloud

Innovation Factory is one of Indonesia's most active technology innovation hubs, running accelerators, market access programmes, and corporate innovation initiatives for the local and international startup ecosystem. Its partnership with Google Cloud for Startup Campus: GenAI was a deliberate signal: generative AI is not a future concern for Indonesian businesses. It is a present one, and the companies building real solutions right now deserve structured support, not just community events.

The programme was entirely free of charge. Selection was based on the strength of each startup's AI solution, the depth of their technical approach, and the team's ability to move from learning to execution. The cohort of ten companies represented a cross-section of the most promising GenAI applications being built in Indonesia in late 2024.

Beyond the programme structure, selected startups received $25,000 in Google Cloud credits — meaningful runway to build, test, and scale on production-grade infrastructure — along with direct office hours with Google Cloud engineers and the ability to tap into Innovation Factory's investor and corporate partner network.

The programme opened on the morning of November 20 at BLOCK71 Jakarta — Innovation Factory's home base and one of the most recognisable startup hubs in Southeast Asia. The first day was structured around building technical fluency: not surface-level familiarity with generative AI concepts, but the kind of working knowledge that a founding team needs to make real product and architecture decisions.

The morning session — delivered by a Google Cloud Customer Engineer — mapped the current state of generative AI and its practical applications across industries. This was followed by a sharing session from Verihubs, whose AVP of Engineering walked the cohort through real-world deployment challenges that do not appear in any tutorial. After lunch, the afternoon moved into prompt engineering with one of the field's practitioners, and concluded with a deep technical session on embeddings and vector databases — the foundational infrastructure behind most production RAG systems.

The second day moved to the Google Indonesia office — a shift in venue that matched the shift in focus. Day 1 had established the theoretical and conceptual foundations. Day 2 was about application: how do you take generative AI concepts and embed them into real enterprise software products?

The morning session on building enterprise chat applications using GenAI was followed by a sharing session from Irzan Raditya, CEO and co-founder of Kata.AI — one of Indonesia's most established conversational AI companies. His perspective on the distance between research-grade AI and production-grade AI products was one of the most practically useful sessions of the programme.

The afternoon moved into RAG architecture — the technical approach that underpins Intura's own product — before closing with a session specifically designed for the business matching day ahead: how to prepare, how to pitch, and how to make 1-on-1 conversations with investors and corporate partners count.

The final day of Startup Campus: GenAI was the one that mattered most for the trajectory of the companies in the room. At the Google Indonesia office, fifteen corporate partners and investors had cleared their schedules to meet — individually — with each of the ten selected startups.

The partner list read like a who's-who of Indonesian corporate innovation: MDI Ventures, BNI Ventures, Telkomsel Ventures, Astra Digital, DANA, Living Lab Ventures, PKSHA Capital, Siloam Hospitals, and more. These were not courtesy meetings. They were structured conversations between parties who had both shown up deliberately — the corporates and investors looking for AI solutions relevant to their portfolios, and the startups looking for partners who could accelerate their distribution, validate their enterprise roadmap, or write the first institutional cheque.

For Intura, the business matching sessions opened conversations about the specific challenge that sits at the centre of our product thesis: how large organisations — whether in financial services, retail, healthcare, or consumer goods — can make faster, more consistent design decisions without the bottlenecks that slow down every go-to-market cycle, and how AI can predict which creative direction will perform before any budget is committed.

Intura's selection into Startup Campus: GenAI was recognition that our approach to a real design and branding problem is a serious one. We are building an AI-powered design platform that gives teams data-driven insights, predicts design performance before a campaign goes live, and delivers design recommendations that accelerate time-to-market — reducing decision fatigue and keeping brand consistency intact across every touchpoint.

The technical depth required to do this well — running prediction models, processing design inputs at scale, and generating actionable recommendations in near real-time — is exactly the kind of problem that benefits from Google Cloud's infrastructure and expertise. The $25,000 in cloud credits and the direct access to Google Cloud engineers are not peripheral benefits. They are central to our ability to build the inference pipelines and models that make Intura's insights genuinely decision-grade rather than superficially impressive.

The business matching sessions added another dimension. Several of the corporate partners we met are running large marketing and creative teams where design bottlenecks directly slow down go-to-market velocity. Intura addresses exactly that gap — not with more tooling, but with AI that tells teams what will work before they spend the budget to find out. Those conversations have continued well beyond the three days of the programme.

Startup Campus: GenAI was not a validation event. It was a working programme — three days of learning, building context, and opening doors that have practical consequences for what Intura can do and who Intura can do it with.

We are grateful to Innovation Factory and Google Cloud for building a programme that took the work of serious founders seriously — providing not just access and credentials, but the kind of technical depth, peer community, and investor connectivity that can genuinely accelerate a company's trajectory.

The cohort of ten startups that came through Startup Campus: GenAI in November 2024 represents some of the most capable AI product teams in Indonesia right now. Being part of that group, learning alongside those founders, and meeting the investors and corporates who are actively looking to partner with companies like ours — that is exactly the environment in which good companies get built faster.