From AVs to LLMs – SiloGen expands its product team with experience in building production-grade AI

SiloGen welcomes an award-winning product development team with a background in developing production-grade AI for the real world. Prior to SiloGen, the product team was behind Sensible 4’s DAWN platform for autonomous vehicles (AVs). The new team strengthens SiloGen’s position by bringing together industry leading capabilities in building production-grade computer vision and perception features for AVs with data-centric development related to large language models (LLMs).

Building AI that reaches production-grade quality has persistently posed a challenge for industry. One area depicted by multiple challenges is the objective of full self-driving and AV technology at large. With the rapid adoption of LLMs and generative AI, industry is faced with similar challenges in achieving production-grade performance and ensuring models are trustworthy, reliable and robust.

In the past years, one path to production-grade AI has been through a data-centric approach to development. Data-centric AI represents a paradigm shift that focuses on the quality of data for a given model, rather than a focus on producing the best model for given data. In line with that, data-centric AI aims at increasing model performance and reducing development time of production-grade AI solutions. These improvements can make it easier to control project budgets and timelines, and help companies shift from a "this is what we've got" to a "this is what we need" mode of working. At the same time it accelerates R&D iteration cycles, and the ability to both scale within R&D streams and to parallel streams.

Silo AI started to shift from model-centric development to data-centric development a few years ago. Key initiatives have been on computer vision and perception related to AVs, with companies like Honda, Rolls-Royce and Sandvik among many others. For the past year SiloGen has taken the same data-centric perspective as on computer vision and perception, and applied it to LLM development in order to achieve production-grade performance that is trustworthy, robust and reliable. SiloGen's client engagements include companies like Allianz, Sandvik, Tietoevry, Happeo and 10-15 other clients.

Core team members from Sensible 4 join SiloGen

To further strengthen SiloGen's team, we are welcoming the award-winning product team behind Sensible 4's DAWN platform for autonomous driving. Founded in 2017, Sensible 4’s original vision was to develop a self-driving vehicle capable of operating in all weathers. After failing to secure their Series B funding, despite successfully launching a platform for self-driving shuttle buses in Europe and Asia, Sensible 4's CEO notes in a Linkedin post that: "I hope our top notch team and the technology finds a new home that would use this opportunity to build great autonomous products". We are happy to provide that home for them.

SiloGen welcomes Markku Jokinen as Head of Product, with a long background in heading product development organizations and building strong product teams for production-grade AI, including computer vision and perception based products. Markku is joined by Lead AI Scientist Antti Silver, DevOps Lead Kalle Mäkelä and QA Lead Henri Terho, as well as AI Engineers and software developers Eelis Peltola, Woojae Lim, Teemu Kuusisto and Tomas Saaristola.

We welcome Markku, Antti, Kalle, Henri, Eelis, Woojae, Teemu and Tomas to the SiloGen team and look forward to great things to come!

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