AI infrastructure firm Future AGI has secured $1.6 million in a Pre-Seed funding round co-led by Powerhouse Ventures and Snow Leopard Ventures. The round also saw participation from Angellist Quant Fund, Saka Ventures, Swadharma Source Ventures, and over 30 industry experts and angel investors.

The company plans to utilize the funds to scale its AI lifecycle management platform, enhance its proprietary technology, and expand its engineering and growth teams.

Future AGI’s CEO, Nikhil Pareek, highlighted that while AI adoption is increasing, its reliability and accuracy at scale remain a major challenge. Current AI systems are probabilistic and error-prone, with improvement cycles taking 6-8 months.

The company was founded in 2024 and aims to address this by building a foundational layer that ensures AI systems are trustworthy in production. Their platform goes beyond workflow automation by creating a data layer that continuously monitors, evaluates, and refines AI across multimodal interactions.

Co-founder Charu Gupta noted that while deploying AI products is relatively simple, maintaining accuracy and a seamless user experience requires constant retraining, iterations, and extensive data. Future AGI’s proprietary technology, including advanced evaluation tools for text and images, agent optimizers, and auto-annotation features, is designed to streamline this process.

According to the company, its platform can reduce AI product development time by up to 95%. Users can complete evaluations in minutes, automatically optimize AI systems, and eliminate manual overhead, ensuring consistent performance. Future AGI also reported that a Series E sales-tech company leveraged its LLM Experimentation Hub, achieving 99% accuracy in its agentic pipeline while accelerating processes tenfold.