Data, machine learning & enterprise AI · Austin, Texas
Data. Decoded. Delivered.
Turn your data into your competitive edge. We transform complex information into
actionable intelligence, helping businesses make smarter decisions faster.
chuckvoo Knowledge brings source-backed answers into technical support and engineering workflows, with deployment and integration tailored to your environment.
RAG software for support and engineering knowledge
Design, build, and improve data platforms and machine learning systems. Get technical expertise from architecture and modeling through production delivery.
Experience acrossTelecom & technologyFinancial servicesEnergy & industry
A practical path to delivery
Start with a clear need. Build toward a useful result.
A focused software pilot, a platform upgrade, or a model ready for production. We scope the
work around what your team needs to achieve.
01 / Define
Agree the outcome
Understand your workflow, data, and technical constraints. Define deliverables and success criteria before implementation begins.
02 / Deliver
Build and integrate
Configure software or implement the required systems. Work in agreed milestones and validate results with your team.
03 / Operate
Support what comes next
Document and hand over the solution, with optional monitoring, maintenance, and engineering support as your needs evolve.
Choose the right engagement. Software pilots and licenses
with scoped integration. Standalone engineering projects, technical assessments, and ongoing
support.
Who we are
Deep technical experience. Direct collaboration.
We are a team of experts in data science and engineering, dedicated to helping businesses
leverage the power of artificial intelligence. With deep technical expertise and a practical,
results-driven approach, we turn complex AI technologies into tailored solutions that drive
operational efficiency, competitive advantage, and sustainable innovation across industries.
Founded by Roland Utz, a physicist, data engineer, and AI platform architect with 15+ years of
experience delivering data and machine-learning systems across telecom, banking, asset
management, and industrial projects.
Architecture and hands-on implementation, from data infrastructure to enterprise AI.
Enterprise AI experience
Document ingestion, retrieval, model orchestration, and evaluation for enterprise
knowledge applications.
Data and ML experience
Cloud migration, distributed processing, sensor analytics, and quantitative modeling.