Gurugram-based enterprise AI startup Irame.ai has secured $1 million (₹8.4 crore approx.) in seed funding from SenseAI Ventures, a fund focused on backing AI-first companies. The funding will be used to expand the startup’s product capabilities, enhance its audit automation platform, and drive enterprise adoption at scale.
🔍 What Irame.ai Does
Irame.ai provides an AI-powered enterprise productivity and audit intelligence platform that enables organizations to:
- Automate internal audits
- Detect anomalies and compliance deviations in real time
- Streamline risk and governance processes
- Improve accuracy and transparency across departments
The platform uses machine learning algorithms to continuously monitor enterprise workflows, reducing the manual burden of audits and helping organizations stay regulatory-compliant.
🚀 What the Funding Will Support
According to Kapil Arora, co-founder and CEO of Irame.ai, the company plans to:
- Scale its AI audit solution across large enterprises
- Strengthen its proprietary anomaly detection engine
- Expand its use cases into broader risk management and governance verticals
“With SenseAI’s backing, we’re closer to making AI-powered audit intelligence the new norm for risk and compliance,” said Arora.
💼 Why It Matters
The corporate world is under increasing pressure to comply with dynamic regulatory standards and ensure transparency in internal controls. Manual audits are often laborious, error-prone, and slow. Irame.ai’s platform automates much of this process, offering real-time insights and data-driven alerts, which are critical for modern compliance teams.
📈 Growing Investor Interest in AI-GRC
The funding reflects growing investor interest in the AI-for-enterprise space, especially within the Governance, Risk, and Compliance (GRC) category. SenseAI Ventures, known for investing in early-stage AI disruptors, sees Irame.ai as a key enabler in this rapidly digitizing domain.
With this fresh capital, Irame.ai aims to become a category-defining platform in enterprise audits, moving beyond traditional compliance tools to predictive and autonomous governance systems.