SAN FRANCISCO, Dec. 13, 2023 — In a significant leap forward for data science, Delphina announced a groundbreaking $7.5 million seed round to develop its AI copilot for data science. This innovative platform, led by former Uber data and engineering leaders, is set to revolutionize the way predictive AI models are built and deployed.
The Dawn of a New Era in Data Science
Delphina, an LLM-powered AI copilot, is not just another tool in the data science toolkit. It’s a game-changer. By leveraging large language models (LLMs), Delphina promises to transform tedious, months-long AI workflows into efficient, day-long processes.
“Today, even the most advanced data science teams are mired in painstaking work that AI is better suited to do,” said Jeremy Hermann, Co-founder of Delphina.
“With the recent advancements in large language models, it is now possible to massively improve data science productivity so the world gets the value it wants out of AI faster.”
Bridging the AI Skills Gap
A staggering 94% of business leaders recognize AI as critical for future success, yet 41% cite technical skill gaps as a major hindrance. Delphina aims to bridge this gap. Its platform will empower data science teams to build and deploy superior AI models swiftly, democratizing access to AI for enterprises without dedicated AI teams.
Delphina’s Unique Approach
Unlike other tools focusing on MLOps, Delphina targets the creation and fine-tuning of predictive AI models. Its approach is tailored for technical builders who code, standing apart from the prevalent low-code solutions.
“There’s been a boom in AI tools in recent years, but building valuable models and putting them into production has not gotten easier,” said Tony Liu of Costanoa Ventures.
“Delphina is taking a very different approach to the problem by using LLMs in a way that was not previously possible.”
Industry Leaders’ Endorsement
Delphina’s approach has garnered support from industry leaders and venture capitalists. Rob Toews of Radical Ventures highlighted the transformative potential of LLMs in traditional data science workflows, akin to their impact in software engineering.
Looking Forward
With five design partners already onboard, Delphina eyes full commercial availability in the second half of 2024. Its founding team, with seasoned data scientists and engineers, is poised to redefine the landscape of AI in business processes.
Conclusion
Delphina’s journey from a promising start-up to a pivotal player in AI for data science is not just a testament to its innovative approach but also a beacon for future advancements in AI. Its success could very well mark the beginning of a new era where AI is not just an auxiliary tool but a fundamental driver in data science.
We’d love to hear your thoughts on this revolutionary development in AI and data science. How do you see Delphina shaping the future of predictive AI model building and deployment? Share your comments below and join the conversation!
