Parallel Loop Raises $6.6 Mn to Help Companies Move Past Off-the-Shelf AI
With close to nine in 10 AI-using Singapore firms still relying on off-the-shelf tools, investors are backing a startup that embeds engineers inside companies, provided the model can scale like software.
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Singapore-based enterprise AI startup Parallel Loop has raised $6.6 Mn in seed funding led by Bengaluru-based venture capital firm 3one4 Capital, betting that the next phase of corporate AI spending will shift from standalone productivity tools towards integrating artificial intelligence into existing business systems and operations.
The company did not disclose its valuation.
The round attracted participation from Germany’s Picus Capital, fintech investor Flourish Ventures and Economic Development Innovations Singapore (EDIS), alongside Paytm founder Vijay Shekhar Sharma, CRED founder Kunal Shah and Philip Yeo, former chairman of Singapore’s Economic Development Board and A*STAR. Yeo also founded and chairs EDIS, an investment firm focussed on deeptech companies.
From Tools to Systems
The funding comes as Singapore companies adopt AI far faster than they build it into their operations. Singapore’s Digital Economy Report 2026, released by the Infocomm Media Development Authority (IMDA) on October 5, showed AI adoption among the nation’s small and medium-sized enterprises rising to 23.4% in 2025 from 14.5% in 2024. Among larger enterprises, adoption increased to 70.4% from 62.5%.
But wider adoption has not translated uniformly into more sophisticated deployment. The report found that nearly nine in 10 AI-adopting enterprises relied on off-the-shelf tools, and only 28.3% customised them to meet their needs. About two in five were either expanding deployment or had completed company-wide integration, leaving the rest at earlier stages.
The benefits also differ. While 87.6% of AI-adopting enterprises reported productivity and process improvements, 44% cited cost reduction and resource optimisation. The findings suggest productivity gains are more widespread than cost savings, putting pressure on enterprise technology providers to demonstrate commercial returns.
For Parallel Loop, which formally launched on October 14, that divide represents a commercial opportunity. Founded in June 2026 by Prateek Jogani and Yujun Chean, the company combines a proprietary AI software platform with engineers embedded within client organisations to connect existing technology systems, automate workflows and develop applications.
According to the company, the idea came from Jogani running hands-on AI programmes for leadership teams in 2025. Those sessions showed him that companies quickly adopted AI tools but seldom established the systems, organisational know-how and working processes necessary to sustain gains.
An Operating Partner, beyond Standalone Software
The startup has a 30-member team spread across Singapore, Bengaluru, Bangkok, London and Dubai. It serves more than 10 enterprise customers such as Indian electrical equipment manufacturer Havells, online meat and seafood retailer Licious and Tokio Marine Safety Insurance in Thailand. Chean told e27 that Singapore companies, including a local healthcare group, are also among its clients.
Unlike companies selling AI applications as standalone subscriptions, Parallel Loop pitches itself as an operating partner for mid-sized and large enterprises. Its engineers, whom it calls forward-deployed engineers, work alongside customer teams to connect AI models with organisational knowledge, internal processes and legacy software, areas where implementation can be more complex than introducing general-purpose AI tools.
Palantir made the model famous, and AI developers, including OpenAI, have since built similar teams to win corporate accounts.
“Intelligence has become abundant. What many organisations lack is the context, systems and capability to turn this into tangible business outcomes,” said Jogani, co-founder of Parallel Loop.
The company’s offering comprises three interconnected services. AI Enablement helps corporate management identify applications and develop implementation strategies. Its modular AI Stack connects enterprise systems and organisational knowledge, while its Software Factory uses engineers and AI agents to modernise legacy applications and build new software.
A distinguishing element is its approach to data control. Parallel Loop’s platform can run within a client’s own cloud infrastructure or on-premises, with data residency and access governed by the client’s requirements. It supports multiple AI model providers, including open-weight models with published parameters that can run on a company’s own servers. That spares clients from being tied to a single provider. The platform also maintains audit trails of prompts, responses, context changes and automated actions.
The architecture is designed for businesses that manage data residency, governance and security requirements across multiple jurisdictions. The company also says customers can retain ownership of their data and the applications developed specifically for them.
Insurtech Roots
The founders bring their experience in ASEAN’s insurance technology industry. They worked together for nearly a decade and previously founded Thai insurtech FairDee, which Indonesian insurance technology platform Qoala acquired. Jogani later served as Qoala’s group chief technology officer, overseeing engineering across five ASEAN markets, while Chean served as group chief operating officer, managing commercial and operational functions across the region.
That background shapes Parallel Loop’s strategy. Insurance businesses operate across multiple distribution channels, legacy systems and regulatory environments, making technology integration a central operational challenge. The founders are applying that experience to industries ranging from financial services and insurance to retail, healthcare and manufacturing.
Early Proof at Havells
The startup has disclosed early evidence of enterprise deployment. At Havells, several hundred employees are using Parallel Loop’s platform for workflows, automation and dashboards, according to Pramod, the manufacturer’s president and chief information officer, in a statement released at the launch.
Havells is also applying the technology to sales operations and interactions with distribution partners. However, neither company disclosed the contract value or independently measured productivity gains.
For 3one4 Capital, Parallel Loop’s combination of software and implementation capabilities addresses a problem increasingly confronting companies with complex technology infrastructure.
Anurag Ramdasan, a partner at the venture capital firm, said in the launch statement that enterprises now carry so much complexity across their technology and processes that adopting AI has become a domain-led challenge, requiring deep expertise in both business and technology. He pointed to the startup’s ability to secure enterprise contracts and expand customer relationships across geographies as early evidence of demand.
Can Embedded Engineering Evolve into a Repeatable Product?
Yet the approach raises a scalability question. Embedding engineers within client organisations can support complex implementation and strengthen customer relationships. But it is also more labour-intensive than selling standardised software. How much Parallel Loop can convert customised deployments into repeatable products will affect its ability to expand without a corresponding increase in engineering costs.
The company has not shared information about its revenue, profitability or the proportion of its business from recurring software fees versus implementation services. These factors will matter, though, as investors assess whether the startup can achieve software-like profit margins while maintaining its hands-on delivery model.
Parallel Loop is entering the market as enterprise AI adoption broadens, but investors are still scrutinising the economics of large-scale deployment. Its early customers in India, Thailand and Singapore provide a starting point for regional expansion, while its teams in London and Dubai signal ambitions beyond ASEAN.
The seed round gives the founders fresh capital to pursue that opportunity. The bigger test will be whether Parallel Loop can turn enterprise AI integration, traditionally a labour-intensive services business, into a scalable technology model that delivers measurable returns for customers.
Singapore-based enterprise AI startup Parallel Loop has raised $6.6 Mn in seed funding led by Bengaluru-based venture capital firm 3one4 Capital, betting that the next phase of corporate AI spending will shift from standalone productivity tools towards integrating artificial intelligence into existing business systems and operations.
The company did not disclose its valuation.
The round attracted participation from Germany’s Picus Capital, fintech investor Flourish Ventures and Economic Development Innovations Singapore (EDIS), alongside Paytm founder Vijay Shekhar Sharma, CRED founder Kunal Shah and Philip Yeo, former chairman of Singapore’s Economic Development Board and A*STAR. Yeo also founded and chairs EDIS, an investment firm focussed on deeptech companies.
From Tools to Systems
The funding comes as Singapore companies adopt AI far faster than they build it into their operations. Singapore’s Digital Economy Report 2026, released by the Infocomm Media Development Authority (IMDA) on October 5, showed AI adoption among the nation’s small and medium-sized enterprises rising to 23.4% in 2025 from 14.5% in 2024. Among larger enterprises, adoption increased to 70.4% from 62.5%.
But wider adoption has not translated uniformly into more sophisticated deployment. The report found that nearly nine in 10 AI-adopting enterprises relied on off-the-shelf tools, and only 28.3% customised them to meet their needs. About two in five were either expanding deployment or had completed company-wide integration, leaving the rest at earlier stages.
The benefits also differ. While 87.6% of AI-adopting enterprises reported productivity and process improvements, 44% cited cost reduction and resource optimisation. The findings suggest productivity gains are more widespread than cost savings, putting pressure on enterprise technology providers to demonstrate commercial returns.
For Parallel Loop, which formally launched on October 14, that divide represents a commercial opportunity. Founded in June 2026 by Prateek Jogani and Yujun Chean, the company combines a proprietary AI software platform with engineers embedded within client organisations to connect existing technology systems, automate workflows and develop applications.
According to the company, the idea came from Jogani running hands-on AI programmes for leadership teams in 2025. Those sessions showed him that companies quickly adopted AI tools but seldom established the systems, organisational know-how and working processes necessary to sustain gains.
An Operating Partner, beyond Standalone Software
The startup has a 30-member team spread across Singapore, Bengaluru, Bangkok, London and Dubai. It serves more than 10 enterprise customers such as Indian electrical equipment manufacturer Havells, online meat and seafood retailer Licious and Tokio Marine Safety Insurance in Thailand. Chean told e27 that Singapore companies, including a local healthcare group, are also among its clients.
Unlike companies selling AI applications as standalone subscriptions, Parallel Loop pitches itself as an operating partner for mid-sized and large enterprises. Its engineers, whom it calls forward-deployed engineers, work alongside customer teams to connect AI models with organisational knowledge, internal processes and legacy software, areas where implementation can be more complex than introducing general-purpose AI tools.
Palantir made the model famous, and AI developers, including OpenAI, have since built similar teams to win corporate accounts.
“Intelligence has become abundant. What many organisations lack is the context, systems and capability to turn this into tangible business outcomes,” said Jogani, co-founder of Parallel Loop.
The company’s offering comprises three interconnected services. AI Enablement helps corporate management identify applications and develop implementation strategies. Its modular AI Stack connects enterprise systems and organisational knowledge, while its Software Factory uses engineers and AI agents to modernise legacy applications and build new software.
A distinguishing element is its approach to data control. Parallel Loop’s platform can run within a client’s own cloud infrastructure or on-premises, with data residency and access governed by the client’s requirements. It supports multiple AI model providers, including open-weight models with published parameters that can run on a company’s own servers. That spares clients from being tied to a single provider. The platform also maintains audit trails of prompts, responses, context changes and automated actions.
The architecture is designed for businesses that manage data residency, governance and security requirements across multiple jurisdictions. The company also says customers can retain ownership of their data and the applications developed specifically for them.
Insurtech Roots
The founders bring their experience in ASEAN’s insurance technology industry. They worked together for nearly a decade and previously founded Thai insurtech FairDee, which Indonesian insurance technology platform Qoala acquired. Jogani later served as Qoala’s group chief technology officer, overseeing engineering across five ASEAN markets, while Chean served as group chief operating officer, managing commercial and operational functions across the region.
That background shapes Parallel Loop’s strategy. Insurance businesses operate across multiple distribution channels, legacy systems and regulatory environments, making technology integration a central operational challenge. The founders are applying that experience to industries ranging from financial services and insurance to retail, healthcare and manufacturing.
Early Proof at Havells
The startup has disclosed early evidence of enterprise deployment. At Havells, several hundred employees are using Parallel Loop’s platform for workflows, automation and dashboards, according to Pramod, the manufacturer’s president and chief information officer, in a statement released at the launch.
Havells is also applying the technology to sales operations and interactions with distribution partners. However, neither company disclosed the contract value or independently measured productivity gains.
For 3one4 Capital, Parallel Loop’s combination of software and implementation capabilities addresses a problem increasingly confronting companies with complex technology infrastructure.
Anurag Ramdasan, a partner at the venture capital firm, said in the launch statement that enterprises now carry so much complexity across their technology and processes that adopting AI has become a domain-led challenge, requiring deep expertise in both business and technology. He pointed to the startup’s ability to secure enterprise contracts and expand customer relationships across geographies as early evidence of demand.
Can Embedded Engineering Evolve into a Repeatable Product?
Yet the approach raises a scalability question. Embedding engineers within client organisations can support complex implementation and strengthen customer relationships. But it is also more labour-intensive than selling standardised software. How much Parallel Loop can convert customised deployments into repeatable products will affect its ability to expand without a corresponding increase in engineering costs.
The company has not shared information about its revenue, profitability or the proportion of its business from recurring software fees versus implementation services. These factors will matter, though, as investors assess whether the startup can achieve software-like profit margins while maintaining its hands-on delivery model.
Parallel Loop is entering the market as enterprise AI adoption broadens, but investors are still scrutinising the economics of large-scale deployment. Its early customers in India, Thailand and Singapore provide a starting point for regional expansion, while its teams in London and Dubai signal ambitions beyond ASEAN.
The seed round gives the founders fresh capital to pursue that opportunity. The bigger test will be whether Parallel Loop can turn enterprise AI integration, traditionally a labour-intensive services business, into a scalable technology model that delivers measurable returns for customers.
