New Investment: Inspeq AI, Addressing AI Performance Issues Throughout the LLM Development Lifecycle
We are excited to announce our newest investment in Inspeq AI, a platform that optimizes Large Language Models (LLM) performance, ensuring safety and ethical compliance.
Roberto Sampietro
Addressing the AI safety concerns through innovative technology
The increasing frequency of AI failures is evident in recent incidents:
- Google's $70 billion market loss due to historically inaccurate images
- DPD's reputational damage caused by its AI chatbot swearing at users
- Snap's AI chatbot providing incorrect advice
Inspeq AI is defining the path for responsible and safe AI development, allowing businesses urgently needing a solution to protect themselves and their users.
Recent news articles highlighting language model failures demonstrate the need for developers to perform rigorous testing to ensure consistent customer experiences. While many competitors are developing testing and evaluation frameworks, none focus on Federated Learning as a core component of their solution.
As an enterprise-grade platform, Inspeq’s technology can be used alongside other data platforms to build reliable AI applications at scale. Inspeq doesn't rely on LLM like most competitors do, resulting in cheaper, faster, and more accurate outcomes.
The technology used in the platform ensures that customer data privacy is not compromised while evaluating, optimizing, or monitoring the AI app, resulting in more AI solutions being developed less costly, and more efficiently.
The team behind Inspeq
Fueled by a passion for responsible AI development, Apoorva Kumar and Ramanujam Macharla Vijayakumar, veterans of the tech industry with experience at Microsoft, Meta, Amazon, and LinkedIn, have traded their jobs to lead the charge in AI safety.
Apoorva and Ram founded Inspeq AI in Q4 last year as they graduated from the Founders and NDRC accelerator. They both personally experienced AI going wrong in their previous employers. When they further validated this problem with over 200 customers, they decided to solve this at a fundamental level. Apoorva's breadth of experience in building and commercializing enterprise-grade platforms, and Ram's depth in building and fine-tuning AI models, resulted in the birth of Inspeq's transformative platform which can evaluate, optimize, and monitor LLM applications at scale across enterprise workflows.
Why we’re excited to invest
We're excited to invest in this opportunity because the company's timing aligns perfectly with a significant market need, and they're addressing a genuine problem with innovative solutions. The team behind the venture is stellar, boasting tech founders with an exceptional track record in the industry. Additionally, the traction they've achieved solely through the founders' technological expertise is highly promising, and we are confident the team will push the boundaries of AI and transform the industry.
Plug and Play is one of the most active VCs in Silicon Valley. Our goal is to fund the teams building the defensible businesses of the future. Join our ecosystem today.
