Malaysia-based VC firm 1337 Ventures has launched its Request for Startups (RFS) 2026, naming seven problem areas where the early-stage investor believes new companies can be built as Malaysia’s economy responds to shifts in technology, industry and national policy.
Rather than following global sector labels, the RFS was built around a narrower question: what new problems are emerging that a small founding team can realistically begin solving now?
The result is a founder-facing list spanning:
● Vertical AI & Agentic Workflows
● Fintech, Trust & Compliance
● Industrial AI & Smart Manufacturing
● HealthTech & Care Infrastructure
● Food, Agriculture & Supply Chains
● Climate Intelligence & Resource Efficiency
● Semiconductor & HardTech Enablement
The themes track structural shifts already under way: national industrial strategy pushing manufacturers toward automation and higher-value activity; an energy transition creating new demand around efficiency and carbon management; Penang’s deepening semiconductor ecosystem; Johor’s growing cross-border integration with Singapore; and Sarawak’s emerging energy and digital-infrastructure opportunity. Cutting across all of it, AI is changing what’s possible in every one of these industries at once.
“AI is no longer a vertical on its own. It is becoming a horizontal layer across almost every industry,” Bikesh Lakhmichand, Founding Partner and CEO of 1337 Ventures, said in a statement on Wednesday.
“But that horizontal is also getting much thicker. Frontier models can now do many things that only a few years ago could have been standalone startup products. So the question for founders is no longer simply, ‘How do I add AI to this industry?’ It is, ‘What do I understand deeply enough about this industry that a general AI platform cannot easily replace me?’”
Sized for pre-seed, not for headlines
1337 Ventures built the RFS around a deliberate constraint: relevance to pre-seed founders specifically. The firm is focused on companies where roughly MYR150,000 to MYR500,000 ($36,776 to $122,589) of early capital can create a meaningful step-change, enough to build an MVP, secure first design partners, run pilots, win initial customers, or generate the evidence needed for a larger seed round.
“We deliberately did not want to publish a list saying things like ‘renewable energy is big’ or ‘semiconductors are growing,'” Lakhmichand said. “A pre-seed investor is probably not going to finance your solar farm or your semiconductor fab. But we might back the team building software that helps thousands of factories reduce energy consumption, the tool that improves semiconductor testing, or the AI system that changes how engineers operate those factories.”
That distinction runs through the RFS: industrial technology opportunities centre on machine vision, predictive maintenance and factory copilots rather than physical infrastructure; climate opportunities on energy analytics, carbon measurement and circular-economy tools rather than capital-intensive energy assets; semiconductor opportunities on design productivity, verification and test analytics rather than fabrication itself; and healthcare opportunities on clinic operating systems, AI documentation and remote monitoring that extend existing capacity rather than build new facilities.
The RFS also signals a shift in how 1337 Ventures evaluates AI startups. As frontier models grow more capable, the firm believes startups built as thin application layers over general-purpose models face rising platform risk, and is instead looking for defensibility rooted in deep industry workflows, hard-to-access data, operational integration, regulatory complexity or domain expertise, according to the statement.
“Building with AI has never been easier. Building a defensible AI company may actually be getting harder,” Lakhmichand said. “That is why we want founders to go deeper into the vertical. If you understand a hospital workflow, a factory line, financial compliance or an agricultural supply chain better than anyone else, AI can make that insight incredibly powerful. But AI itself cannot be the entire moat.”
1337 Ventures stressed the RFS does not restrict applications to the seven named areas. “The best founder may read our RFS and tell us we are completely wrong,” Lakhmichand said. “That is fine too. What we want to understand is why something needs to exist now, what has changed to make the timing right, and how a small amount of capital can help the team prove it.”
The RFS draws on 1337 Ventures position across accelerator programmes, direct investment, corporate innovation work and capital-market activities, through which it has supported more than 4,000 startups and invested in more than 60 companies, giving it visibility into founder activity, corporate demand and policy direction at once.
Founders selected through Alpha Startups, 1337 Ventures’ pre-accelerator program, will work on customer discovery, product validation, market development and the milestones needed to move from idea or early product toward a fundable company. The program’s underlying principle: build lean, validate fast, prove something meaningful, then earn the right to scale.
Applications for Alpha Startups Cohort 68 are open now through 8 November 2026. Founders can apply and read the full Request for Startups at https://1337.ventures/alpha-startups-pre-accelerator