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Retrieval-augmented generation (RAG) models are revolutionizing AI, enabling applications to leverage vast knowledge bases for more contextual and accurate outputs.
Studies show financial institutions lose millions due to faulty AI algorithms. Inaccurate RAG outputs can translate to miscalculated risks, improper recommendations, or even fraud. (Cost: Billions annually)
A frustrating RAG system can overwhelm users with irrelevant information, delay approvals, and hinder productivity. A study by [source] found that poorly designed AI workflows can decrease employee productivity by an average of 20%.
Opaque RAG systems that fail to explain their reasoning can breed distrust and prevent users from fully utilizing the platform. A [source] survey revealed that 63% of users are less likely to engage with an AI system if they don't understand how it arrives at its decisions.
Strative.ai is not just a platform, it's an optimization engine for the true potential of RAG-based AI. We address critical challenges through a comprehensive suite of solutions:
Strative empowers you to unlock the true potential of RAG-based AI with a range of features designed to deliver:
Accelerate RAG implementation by up to 75% faster
Achieve 20% higher accuracy and reliability for RAG
Seamlessly scale to handle large knowledge bases
Reduce total cost of ownership for RAG by 40%
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Integrate into existing tech stack within short time frame
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Easily tailor and extend RAG capabilities to specific use cases
The global AI market is projected to reach $1.8 trillion by 2030, with RAG-based models playing a pivotal role in driving innovation and growth across industries.
However, the lack of accurate and reliable AI outputs remains a significant barrier to widespread adoption. Strative addresses this critical pain point, enabling enterprises to:
Strative is founded by an exceptional team of seasoned AI experts and entrepreneurs:
Maulik is an accomplished entrepreneur with 20+ years of industry exp and business leader with a strong background in AI and enterprise software. He has successfully founded and scaled multiple startups, with a keen understanding of market dynamics and customer needs. Maulik's strategic vision and business acumen will be pivotal in driving Strative's go-to-market strategy and fostering strong customer relationships.
Tilmann is a PhD holder, seasoned technology leader with over 25 years of experience in building cutting-edge AI and machine learning solutions. He has a proven track record of delivering innovative products and leading high-performance engineering teams. Tilmann's deep expertise in natural language processing and RAG models will be instrumental in driving the technical vision and development of Strative's platform.
Together, Maulik and Tilmann bring a unique combination of technical expertise, entrepreneurial spirit, and industry knowledge, positioning Strative.ai for success in the rapidly evolving AI landscape.
We are seeking a pre-seed investment to accelerate the development and commercialization of our platform. This funding will enable us to:
