Marko Lah
CEO / Founder
Founder. Architects the context engineering thesis and drives commercialization.
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.
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.
Knowledge Graph SystemsAI / Agent SystemsEngineering DataFrontend & InteractionDevOps / PlatformProduct & Customer EngineeringGovernance / Enterprise Readiness
Marko Lah
CEO / Founder
Architects the context engineering thesis and drives commercialization.
Product EngineeringArchitecture
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Jan Bernasch
Chief Operating Officer
Customer success, partnerships, scaling enterprise delivery.
OperationsCustomer Delivery
Kilian Reisenegger
Principal Engineer · Architect
Graph infrastructure, governance, and scale decisions.
ArchitectureGraph Systems
Jürgen Zernig
Principal Engineer · DevOps & SRE
Reliability and deployment across on-prem and cloud.
DevOpsSite Reliability
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Vishnu Viswambharan
Head of AI Data Visualization
AI-driven visualizations, context extraction engines, and product marketing experiences.
AI AgentsData Visualization
Vitalii Lytovskyi
Principal Software Engineer
Core platform internals — retrieval and graph runtime.
Graph SystemsArchitecture
Alexandra Poier
Senior DevOps Engineer
Operates and automates infrastructure across environments.
DevOpsSite Reliability
Ferdinand Paar
Forward Deployed Engineer
Embedded with customers, turning data into deployments.
Forward DeploymentCustomer Delivery
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
Jan Bernasch
Chief Operating Officer
Operates the company. Customer success, partnerships, scaling enterprise delivery.
Kilian Reisenegger
Principal Engineer · Architect
Designs the platform. Graph infrastructure, governance, and scale decisions.
Jürgen Zernig
Principal Engineer · DevOps & SRE Lead
Owns reliability and deployment across on-prem and cloud customer environments.
Vishnu Viswambharan
Head of AI Data Visualization & Interaction
Designs interaction surfaces — AI-driven visualizations, context extraction engines, and product marketing experiences.
Vitalii Lytovskyi
Principal Software Engineer
Builds core platform internals — retrieval pipelines and graph runtime performance.
Alexandra Poier
Senior DevOps Engineer
Operates and automates Context64 infrastructure across cloud and on-prem.
Ferdinand Paar
Forward Deployed Engineer
Embedded with customers. Turns engineering data and workflows into running deployments.
Help build the context layer for engineering AI.
We are a senior team building infrastructure for the next generation of engineering software. Join us.