Company
Building the context layer for engineering AI.
Context64.ai was created to help engineering organizations turn fragmented systems into governed context that humans, applications, and AI agents can trust.
Industrial programs · 2017–2022
BMW GroupSiemens MobilityBroseVirtual Vehicle
Engineering domains
RequirementsTest · ValidationProduct DataFMEASystems EngineeringTraceability
Context64.ai layer
Context GraphEvidenceGovernanceAI-ready Context
Origin
From research foundations to a live engineering platform.
Context64.ai began as industrial knowledge-graph research — connecting product, simulation, and validation data into a single semantic layer.
Through years of co-development with industry partners including BMW Group, Siemens Mobility, and Brose, that research hardened against real CAD, requirements, test, and approval data — and became a product.
The Data Context Hub, Memory 4 Your AI, and C64 Studio each grew directly from what engineering teams actually needed next — not from a generic AI roadmap.
Milestones
Research to product, step by step.
2017
Research Foundation
Industrial knowledge-graph research begins — connecting product, simulation, and validation data into a single semantic layer.
Research
2017–2022
Built Inside Real Programs
Built hands-on inside real engineering programs at BMW Group, Siemens Mobility, and Brose. Every layer hardened on real production data, real constraints, and how top engineering teams actually work — not lab theory.
IndustrialEngineering Data
2023
Data Context Hub
The research is commercialized into Data Context Hub — a governed engineering knowledge graph.
DCH
2024
Governed Context Layer
DCH matures into a governed context layer — ontology modeling, lineage, projections, and reliable retrieval.
Governance
2025
Memory 4 Your AI
M4AI adds persistent agent memory and reasoning over context graphs — collaborating agents on governed context.
M4AI
2026
C64 Studio
Studio turns the stack into engineering workflows and application surfaces — search, change impact, root cause, FMEA audit.
Studio
Team & expertise
A technical, product-driven team.
Advisors
Advisors
Strategic advisors supporting Context64.ai across enterprise AI, industrial engineering, scaling, and go-to-market.
Industrial R&DMobility EngineeringVirtual Vehicle TechnologyEnterprise EcosystemsResearch Commercialization
Jost advises Context64.ai on industrial research ecosystems, mobility engineering, and scaling deep-tech context infrastructure from research into enterprise adoption.
Operating principles
How we build.
Context before automation
AI is only as good as the context it reasons over. We build the layer first.
Engineers stay in control
Humans make the decisions. The system makes the context defensible.
Governance by design
Provenance, access, and lineage are part of the architecture, not an add-on.
Built for industrial systems
Real components, revisions, and approvals — for teams that ship physical and digital products.
Want to build context-aware engineering AI with us?
Talk to the team about your engineering context layer — or explore open roles.
01 · Built with industry
Built where engineering actually happens.
Context64.ai was built hands-on inside real engineering programs at leading industrial companies, including BMW Group, Siemens Mobility, and Brose, between 2017 and 2022. Every layer was hardened on real production data, real constraints, and how top engineering teams actually work, not lab theory. We didn’t study the context problem from the outside. We solved it on real programs, program by program.
Context64.ai is a deep-tech spin-out of Virtual Vehicle Research GmbH, Europe’s largest R&D center for virtual vehicle technology.
02 · Milestones · Research → Product
From research foundations to a live engineering platform.
Click any milestone to expand. The active path lights up from start to selected.
2026
C64 Studio
Studio turns the stack into engineering workflows, application surfaces, and custom AI tools — Engineering Search, Change Impact, Root Cause, FMEA Audit, and more.
StudioApplication Surfaces
A decade of industrial research, hands-on engineering inside German OEM programs, and relentless product engineering shaped the Context64 stack.
03 · Team
The team building context infrastructure for engineering AI.
A senior team of engineers, system architects, AI specialists, DevOps experts, and forward-deployed engineers building the operating layer for context-aware engineering systems.
Filter · Expertise
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04 · Advisors
Advisors
Strategic advisors supporting Context64.ai across enterprise AI, industrial engineering, scaling, and go-to-market.
Industrial R&DMobility EngineeringVirtual Vehicle TechnologyEnterprise EcosystemsResearch Commercialization
Jost advises Context64.ai on industrial research ecosystems, mobility engineering, and scaling deep-tech context infrastructure from research into enterprise adoption.
Help build the context layer for engineering AI.
We are a senior team building infrastructure for the next generation of engineering software. Join us.