OneByZero, a Singapore-based enterprise AI company, announced on October 5 that it has closed a $20 million Series A round led by Jungle Ventures, according to TechNode. The raise is the company's first outside funding since it was founded in 2023, and it arrives just as large enterprises across Asia begin moving AI workloads from experimentation into production systems.
The firm operates a forward-deployed engineering model: rather than selling software licenses, it embeds its own engineers inside client companies to build AI directly into their operating systems, then keeps improving it after launch. According to TechNode, OneByZero works mainly with banks, telecom operators, and retailers, and builds its systems exclusively on Amazon Web Services.
The funding news was first reported by TechNode and Tech in Asia on October 5, with both outlets noting that the company had previously grown without external capital. Jungle Ventures managing partner Yash Sankrityayan said the firm stood out for having spent three years deploying AI inside large, complex organizations with measurable results, at a moment when more Asian enterprises are moving AI from pilots into core operations.
Governed agents instead of AI pilots
At the center of the strategy is OneByZero's NEO platform, software that deploys and manages AI agents inside large organizations. According to Tech in Asia, part of the new capital will go toward developing NEO and expanding the company's AI agent deployments. The platform is designed to run governed AI agents with defined roles and controls, operating alongside human staff rather than as standalone experiments.
That governance layer is the differentiator. OneByZero describes its systems as AI Coworkers — agents with named human managers, defined responsibilities, and measurable performance indicators. According to TechCoffeeHouse's coverage of the company's AWS partnership, those agents already handle more than 100,000 enterprise interactions a day across Asia-Pacific and Japan. In one deployment for Krungsri, a Thai financial institution, the company's ETL Crew tool modernized legacy data pipelines at a reported pace more than 50 percent faster than the incumbent approach.
NEO is built on Amazon Bedrock and Bedrock AgentCore, which gives enterprises a foundation for running agentic AI inside their own AWS environments, according to CRN Asia's reporting on the company's three-year strategic collaboration agreement with AWS. AgentCore supplies the plumbing that regulated companies care about: identity and access controls, policy management, session persistence, connections to external tools, and observability for monitoring agent execution.
Chief executive Niket Vaidya argues that the companies winning this decade will not be the ones that ran the most AI pilots, but the ones that moved fastest from experimentation into production, TechNode reports. Kirsten Gilbertson, a partner organization leader at AWS ASEAN, put it in similar terms when the AWS deal was announced: the next wave of enterprise productivity will come from human-AI collaboration done right — governed agents working alongside people, with full auditability.
Asia's enterprise AI moment
The $20 million will also fund geographic expansion. According to TechNode, OneByZero plans to grow its engineering teams across its nine operating markets — Australia, India, Indonesia, Malaysia, the Philippines, Singapore, Thailand, the United States, and Vietnam — and to open a team in Japan. The company also aims to move into new verticals, including healthcare and the public sector.
OneByZero says it has more than doubled revenue each year over the past three years. Its deployments have automated more than 90 percent of some customer-facing interactions, the company said. Data-modernization projects have run about 50 percent faster with its tooling. Those are company-supplied figures reported by TechNode, not independently verified results, but they help explain why a first outside check landed at $20 million.
The raise continues a busy stretch of capital flowing into agent infrastructure, as investors back the companies building the control planes for AI agents inside the enterprise. For more on how businesses are managing fleets of agents and keeping them under human oversight, see the earlier piece Vercel fx Coding Agent Gets Ultrafast Mode and Smarter Compaction, and follow the AI News topic page for the latest.
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