Unlock AI's Full Potential
The AI Incubator is currently accepting applications from established companies eager to leverage AI’s potential in addressing concrete business challenges
We welcome fortune 1000, innovative mid-size companies and b-series startups with industrial challenges and companies who have already started building AI-based systems but face difficulties in delivering value in various industries.
Manufacturing
Machinery
Retail
Telco
Logistics
Energy
Agritech
Robotics
By Joining the AI Incubator you will be able to accelerate the development of your AI-powered system by:
Creating your Market Ready Solutions - Comprehensive codebase and AI models
Working on your specific business cases with measurable ROI
Preparing structured investment cases and providing investment support
We created an ecosystem to help you boost measurable business success avoiding common AI pitfalls
weeks vs. years
More about the Ecosystem
AI Incubator Ecosystem
At the heart of the AI Incubator lies a collaborative network of certified Elite NVIDIA ecosystem partners, united in the pursuit of innovation. These distinguished organizations bring a wealth of experience, boasting highly skilled teams with a proven track record in delivering exceptional NVIDIA ecosystem solutions, validated through years of successful practice and NVIDIA certification.
Within the incubator, these certified NVIDIA ecosystem partners join forces with industry-leading professionals from both NVIDIA and SIEMENS, working together to address the challenges faced by various companies. Moreover, subject matter experts and business specialists from client companies actively engage in this dynamic environment.
The AI Incubator harnesses the collective expertise of engineering firms and automation solution providers, enriching the incubator's projects with practical application and integration knowledge in the field of AI solutions.
NVIDIA Technologies
Software:
- Omniverse (USD, Replicator, Isaac SIM, Drive SIM, ACE)
- Metropolis
- NeMo
- Riva
- Maxine
- Triton
- RAPIDS
Hardware:
- RTX
- DGX
- IGX, incl. Jetson Orin
Siemens Technologies
Our Funding Partners Include:
- GPU-based Industrial Computers
- Siemens Industrial Edge Platform
Meet our top industry experts from Siemens, NVIDIA and NVIDIA Elite partners
With over 20 years of experience in the automation industry, Thorsten Julich is a seasoned and passionate Sr. Business Development Manager at Siemens, where he lead the AI & Edge Computing, IPC and SCADA / HMI Software business in the US. His main focus is on large OEMs and end-users in discrete automation markets, such as automotive, oil and gas, renewable energy, food and beverage, and pharmaceuticals, as well as emerging industries.
Industrial AI solution architect and engineer. German’s background is in automotive manufacturing, manufacturing automation, supply chain management, AI. For the past 2 years he worked at Data Monsters as Solutions Architect focusing on NVIDIA Metropolis / DeepStream / TAO/ TensorRT / Triton, NVIDIA Omniverse, edge AI deployment and orchestration: NVIDIA FleetCommand.
Raithel has an engineering degree (Dipl-Ing(FH)) from the TU Nürnberg (Germany) and has 27 years of experience in automation in various roles in R&D, Engineering, Product Management, and Marketing. Before moving to the USA, he has been with Siemens for more than 17 years, defining the next-generation automation systems and expanding Siemens’ Industrial PC portfolio to the IoT space. In the US, he focuses on integrating new technologies such as Edge and AI in Siemens Automation portfolio.
Ramon has an engineering degree and 32+ years of experience in engineering, sales, marketing and supply chain management. Ramon started his career at Hewlett-Packard and held several executive positions at British Telecom, Sony Corporation, SoftBank Group and Accenture. Ever since he wrote his first line of code at the age of 11, Ramon has been fascinated by technology and its uses in support of corporate and societal goals.
Caleb Eastman is a dynamic force, combining a background in business bootstrapping and a proven track record as the former Head of Product for a Silicon Valley venture-backed startup. With a strong presence in both Fortune 500 corporations and innovative startups throughout North America, Caleb is a trusted advisor. A systems engineer at heart and a prolific inventor, Caleb’s driving passion is exploring how cutting-edge technologies can synergize to bring meaningful change to our world. His High-Context Product Management™ framework accelerates product launches and shapes the future of innovation.
Ravit Dotan, PhD is an AI ethics advisor, researcher, speaker, and content creator. Her specialty is helping tech companies, investors, and procurement professionals develop responsible AI approaches. Ravit’s recognition includes a PhD in philosophy from UC Berkeley, being named one of the “100 Brilliant Women in AI Ethics” by Women in AI Ethics, being a finalist for the “Responsible AI Leader of the Year” Award by Women in AI, and frequent interviews in publications such as the New York Times, The Financial Times, CNBC, and TechCrunch.
Our Process: From Idea to AI Solution
Submit Your AI Solution Request
A client requests AI Incubator for an AI solution. At this phase is a high-level description of the problem to be solved and client ideas on how this should be solved.
Collect requirements and estimation
AI Incubator team collects requirements from the client and conducts a thorough estimation to understand the scope, resources, and timeline required for your project. We ensure that all factors are considered for a smooth and efficient workflow. This step includes the following action items:
- Meetings with the client to collect requirements and data samples
- Developing a Solution Requirements Document and approval of the document with the client
- Selecting the best matching partners from the AI Incubator ecosystem
- Involving partners into the estimation. Partners receive requests for proposal (RFP) and respond with clarifying questions and proposals
- AI Incubator consolidates proposals in a single solution and present it to the client
Purchase Order and Paperwork
AI Incubator prepares a Master Service Agreement (MSA) and Statement of work (SOW). Both sides sign the papers.
The client issues a purchase order.
Proof of Concept Development
Next, we develop a Proof of Concept (POC) to demonstrate the feasibility of the AI solution. This phase helps validate the core functionalities and ensures that the proposed solution meets the business needs.
Pilot Testing & Solution Validation
Upon successful POC, we move on to the Pilot phase. Here, we deploy the solution in a controlled environment to test its performance, scalability, and real-world applicability.
Full Production Deployment
Finally, after refining the solution during the Pilot phase, we transition to full-scale production. AI Incubator supports the client.
Our ecosystem brings a wealth of experience, demonstrated by
- Access to 102 world-class AI experts with domain expertise
- Elite pool of 50 partners, experts, and architects
- A collective 84 years in AI expertise
- Proven Strategies to reduce AI CapEx/OpEx
- Minimizing risks (reputation, resources)
- Real learnings across all projects / use cases
Skilled
professionals
Hardware
resources
Software
licenses
The AI Incubator operates on-site, centrally located in the heart of Silicon Valley
Milestone events and workshops take place at two prestigious venues: the NVIDIA Headquarters in Santa Clara, CA, and the Siemens Factory Automation showroom in Campbell, CA. For day-to-day activities, the teams are based in a dedicated space in Sunnyvale, CA, providing a conducive environment for their innovative work.
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