AI adoption flourishes, but the lack of comprehensive evaluation tools has caused teams to guess the model to fail, resulting in inefficiency and prolong iteration cycles.
Future AGI directly addressed this issue with the launch of its AI lifecycle management platform, aiming to help businesses achieve 99% accuracy in AI applications. To accelerate its vision, the company has received $1.6 million in advance funding, led by Powerhouse Ventures and Snow Leopard Ventures, with participation from the Angellist Quant Fund,,,,, Swadharma Source Ventures,,,,, Saka Ventures, and a network of more than 30 industry veterans and angel investors.
Reduce the gap in AI accuracy
Currently, current AI tools lack in providing precise, actionable insights. Most assessments are manual and superficial, and often rely on vague assessments rather than systematic experiments. Future AGI transforms the game by introducing deep multimodal evaluation, real-time observability, and continuous optimization.
Future AGI’s proprietary technology includes advanced evaluation systems for text and images, proxy optimizers and automated storage tools that reduce AI development time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to optimize production with minimal manual effort.
“AI is becoming new software, but its widespread adoption faces a critical challenge – reliability and accuracy of scale,” said Dr. Nikhil Pareek saysCEO of future AGI. “Today’s AI systems are probabilistic and error-prone systems, and the improvement cycle takes 6-8 months. We are building a foundation layer that ensures that AI systems are trustworthy and reliable in production. Our platform involves not only workflow automation – we are Create data layers for AI systems that continuously monitor, evaluate and improve multimodal interactions.”
Change the industry’s AI performance
The future AGI has gained influence throughout the industry:
- An E Sales-Tech company uses Future AGI’s LLM experimental hub to achieve 99% accuracy in its proxy pipeline, compressing weeks of work to hours.
- An AI image generation company uses the platform to reduce costs by 90%, while maintaining 99% accuracy for catalog and marketing images.
- The platform’s capabilities extend to robotics and autonomous vehicles, enabling enterprises to simulate edge cases and validate AI models before deployment.
The future AGI enables enterprises to:
- Generate and manage synthetic datasets for AI model training.
- Try proxy workflow without writing code.
- Carry out in-depth evaluations to identify the root causes of AI failure.
- Automate optimization using the built-in scoring mechanism.
A visionary team drives AI innovation
Future AGI was founded by Nikhil Pareek and Charu Gupta, who have experienced the challenges of data collection, annotation and model evaluation in person. Their frustration has led them to build a solution that can revolutionize the development of AI.
Nikhil Pareek, a former AI founder of AI with multiple patents and research papers, faced challenges in automated drones and data science for Fortune 50 companies . Revenue growth expert Charu Gupta has brought several startups to $100 million from its inception to expansion.
Consisting of 30 AI researchers and ML engineers from Microsoft, Amazon and top Ivy League institutions, Future AGI is at the forefront of AI Innovation, bringing patented technologies and deep expertise to solve the most pressing challenges of AI.
“The AI landscape is growing rapidly, and one of the biggest challenges facing today’s businesses is ensuring the accuracy and reliability of their AI applications,” he said. explain Sri Peddu, General Partner of Powerhouse Ventures. “Innovative approaches to future AGIs to address this critical problem through its comprehensive AI lifecycle management platform make them uniquely positioned in the market. We believe that their solutions will help companies achieve the highest required for production-grade AI applications. Accurate level.”
“We believe great people will build great companies, and from our data we know that future AGI is one of the best early-stage startups to attract the best job applicants from Wellfound (FKA Angellist talent),” explain Dr. Abraham Othman, Managing Partner of Angel Level Early Quantitative Fund.
Expand to meet growing market demand
Funding will enable future AGI to expand its product development, expand its engineering and growth teams, and enhance its proprietary technology stack. At its Bay Area headquarters and in Bangalore’s R&D center, future AGI can strategically serve businesses as an AI transition from experimental projects to mission-critical applications, serving businesses around the world.
As AI evolves, multimodal interactions that combine text, images, audio and video, accuracy and reliability will define success. Future Agi lays the foundation for AI systems that businesses can trust, ensuring that AI innovation is not only cutting-edge, but always accurate and reliable.
