In the ever-evolving landscape of artificial intelligence (AI), businesses are constantly seeking innovative solutions to leverage their data effectively. Enter Pienso, a groundbreaking User Interface (UI) for AI that is changing the game without requiring a single line of code.

Pienso, a company headquartered in Arlington, VA, has successfully secured $10 million in new funding to bolster its efforts in revolutionizing AI development, allowing individuals to harness the power of text data without the need for coding expertise.

The funding round was spearheaded by Latimer Ventures, supported by Gideon Capital, and saw participation from returning investors SRI, Uncork, and Good Growth Capital. With this infusion of capital, Pienso aims to expand its team and further reshape the landscape of AI development within companies.

Under the leadership of CEO Birago Jones and Karthik Dinakar, Pienso has developed an interactive AI platform that empowers users to train AI models seamlessly, eliminating the necessity for coding. This platform enables users to manage Large Language Models (LLMs) with their own data, simplifying the annotation process for vast amounts of text, which in turn facilitates algorithm training.

Pienso stands out for its interoperability across all major Large Language Model (LLM) providers and its flexibility in deployment, whether on-cloud or on-premise. This AI orchestration tool is not just another platform; it’s a gateway to real-time insights that can transform the way businesses operate.

One of the key features of Pienso is its customization capabilities. With Pienso, businesses can tailor any foundation model from top providers like Hugging Face, OpenAI, Google, and Anthropic. Whether deploying models on Google Cloud, AWS, Dell, or utilizing AI accelerators such as Graphcore and Nvidia, Pienso offers unparalleled flexibility.

But how exactly can Pienso work for your business? The possibilities are vast, ranging from gaining valuable customer insights to enhancing document intelligence and implementing robust content moderation strategies. By analyzing diverse data sources such as chat logs, call transcripts, emails, social media posts, and more, Pienso empowers businesses to answer critical questions and address key challenges head-on.

The Pienso Way:

In the traditional approach, you may have to pay the hidden costs of LLMs, Donate your data to the LLM Provider, Sacrifice data sovereignty, and also pay data egress fees. You may also have to wait 3-6 months to build the model. You may also need continuous testing of models, get feedback from businesses to expect, and train them into your model again. Pienso avoids all these and makes it easier for your LLM deployments.

Moreover, Pienso puts subject matter experts in the driver’s seat, eliminating the need for advanced technical skills or coding expertise. From customer experience to legal and beyond, domain experts across various departments can easily train, deploy, and manage AI models, ensuring that insights are tailored to the unique nuances of each organization’s data.

Unlike traditional AI approaches that may involve hidden costs, data privacy concerns, and lengthy development timelines, Pienso offers a streamlined solution. By avoiding data egress fees, maintaining data sovereignty, and enabling rapid model iteration, Pienso delivers precise insights without compromise.

Furthermore, Pienso offers a unique advantage in the realm of Generative AI. By empowering users to manipulate LLMs and imbue them with contextual understanding, Pienso opens the door to innovative AI applications that deliver tangible ROI.

In conclusion, Pienso represents a paradigm shift in the world of AI. By democratizing access to advanced AI capabilities and putting the power of AI directly in the hands of businesses, Pienso is poised to revolutionize the way organizations leverage their data. Say goodbye to complex coding and hello to Pienso – your partner in AI excellence.

For more such insightful news & updates around AI or Automation, explore other articles here. You can also follow us on Twitter.