Refold AI Raises $6.5M to Replace Enterprise System Integrators with AI Agents
AI Agent News
Refold AI emerged from stealth with $6.5M in seed funding to tackle enterprise system integration through AI agents, addressing what the company calls the “integration tax” that costs enterprises billions annually in consultant fees and project delays.
The Bengaluru and San Mateo-based startup’s platform deploys autonomous agents to write, test, and maintain complex enterprise integrations—work traditionally requiring armies of billable-hours contractors from firms like Accenture and Infosys.
The Enterprise Integration Bottleneck
Enterprise system integration represents a massive operational bottleneck where companies spend months and six-figure budgets connecting disparate software systems. The traditional approach relies heavily on human consultants who manually map data flows, write custom code, and maintain integrations as systems evolve.
Refold’s founders, CEO Jugal Anchalia and co-founder Abhishek Kumar, experienced this pain firsthand while managing large-scale digital transformations before selling their previous startup to Reliance. Their research revealed that enterprises effectively pay an “integration tax”—the combined cost of consultant fees, project delays, and maintenance overhead that can easily reach millions annually for large organizations.
The market is dominated by legacy integration platforms like MuleSoft, Boomi, and Workato, plus global consulting firms that bill by the hour rather than outcomes. This creates a structural inefficiency where complex integrations that should take days stretch into multi-month engagements.
AI Agents Replace Human Consultants
Refold’s platform operates on three layers designed to eliminate human involvement in integration workflows. Workflow Code Agents handle engineering tasks by generating integration code and automatically mapping complex data relationships. MCP Chains serve business users and AI developers with simplified integration tools. An Embedded Integrations Platform enables SaaS providers to offer native connections without custom development.
Unlike low-code alternatives, Refold takes a code-first approach where AI agents write custom logic in context rather than requiring pre-built connectors. The platform packages senior consultant expertise into scalable software that can be deployed instantly rather than waiting weeks for human resources.
The company’s differentiation centers on outcome-based billing rather than hourly consultant rates, fundamentally changing the economics of enterprise integration projects.
Enterprise Validation and Growth Metrics
Refold has already deployed integrations across finance, supply chain, and business intelligence workflows for over 30 enterprises, including customers like Incorta and Naehas. The platform serves 1,500+ active users and processes 30 million API calls monthly.
Key deployment examples include automating reconciliation between expense reports and accounts payable systems, integrating multiple order and inventory systems for improved forecasting, and building reverse ETL workflows that feed analytics dashboards with near real-time data. Projects that traditionally required months were completed in days.
The company reports low seven-figure annual recurring revenue with healthy gross margins of 75%-78%, projecting $4-5M ARR by end of 2025. Customer growth demonstrates strong product-market fit in addressing the integration bottleneck that blocks enterprise AI initiatives.
Market Shift Toward Autonomous Infrastructure
Refold’s $6.5M seed round, co-led by Eniac Ventures and Tidal Ventures with participation from Better Capital, Ahead VC, Karman Ventures, and Z21, reflects growing investor recognition that enterprise AI deployment requires infrastructure that eliminates human bottlenecks.
The funding provides a 24-month runway as the company scales from its current team to 30 employees by year-end. Strategic backing from Innovaccer’s founders and other enterprise software veterans validates the approach of replacing consultant-dependent workflows with autonomous agents.
The company’s ambitious goal of “replacing 300,000 consultants with 3,000 lines of code” positions Refold at the center of a broader shift toward infrastructure that enables enterprises to deploy AI systems without expanding their consulting budgets.
Looking Forward: The Integration-First Enterprise
Refold’s emergence signals a critical infrastructure evolution where enterprises can deploy AI agents for core business processes without the traditional dependency on human system integrators. As organizations increasingly require real-time data connectivity for AI workflows, the ability to deploy integrations instantly rather than through multi-month consulting engagements becomes a competitive advantage.
The platform’s success in reducing integration timelines from months to days suggests that autonomous integration infrastructure may become as fundamental to enterprise AI deployment as cloud computing was to software delivery. For enterprises building agent-driven workflows, the difference between human-dependent and autonomous integration capabilities could determine the speed and scale of AI adoption.
Enterprise AI deployment increasingly depends on infrastructure that eliminates traditional bottlenecks. Overclock provides agent orchestration platforms that enable organizations to automate complex workflows without the consulting overhead that has historically limited enterprise AI scaling.