01
Agentic infrastructure
Agents that coordinate work across your systems, with explicit permissions, durable workflows and human approval where it matters.
Independent engineering studio
VraiBlock.
AI engineering.
Built for production.
We build agents, intelligent products and the infrastructure behind them. From technical discovery to secure deployment.
Discuss your project
Explore our work 
VR / AI / BLOCKCHAIN
VR / AI / BLOCKCHAINEngineering across the full system
Agents Infrastructure Products Security
01 / The studio
The model is only
part of the system.
The hard work sits around it: connecting data, coordinating agents, setting boundaries and making the result dependable.
VraiBlock is a development team working across AI, VR and blockchain. Today, our focus is AI that can be put to work, whether you are building a new company or introducing it into an established one.
02 / What we build
Intelligence needs
good engineering.
We work on the architecture, the product and the operational details that make AI useful.
02
AI products & platforms
A new product, an AI capability inside an existing one, or the platform underneath both. Designed for the people who will use it.
03
Frontier AI development
Test a difficult technical idea before committing to a full build. We investigate model behaviour, multimodal interaction and new agent architectures.
04
Secure production systems
Control over data, access and deployment is part of the architecture. We build the boundaries, observability and recovery paths alongside the application.
03 / Agentic systems
Connected to your work.
Bounded by your rules.
Useful agents need access to the right context and a controlled way to act. We design the connections and the controls as one system.
Workflow agents
Less handover.
More work completed.
Read an incoming order, gather information from existing systems, prepare the next action and route exceptions to the right person.
- Work with existing APIs and business systems
- Keep consequential actions behind approval
- Track what happened and why
Knowledge systems
Your information.
In the right context.
Connect internal knowledge to an assistant that can retrieve relevant material, identify its sources and respect the access rights of each user.
- Retrieve from approved information sources
- Preserve document-level access boundaries
- Evaluate answers against your own questions
AI-native products
A capability people
can actually use.
Build an AI feature into a real product: from user interaction and model routing to tool execution, evaluation and the service running behind it.
- Design around a specific user task
- Manage latency, model choice and cost
- Release with measured behaviour and fallbacks
Your environment
Business systems
Orders & documents
Agent runtimeContext / tools / state
Prepared actions
Human approval Permissions
Audit trail
EvaluationIllustrative system. The deployment and data boundaries are defined around your requirements.
04 / Ready for production
A good demo
is the beginning.
Production adds real data, real users and real consequences. We work through those requirements before they become operational problems.
Discuss your environmentData stays within defined boundaries.
We establish where information can be processed, what can reach a model and which deployment options fit your requirements.
Behaviour is tested, not assumed.
Evaluation sets, adversarial inputs and failure scenarios help establish what the system does well and where a person must take over.
Every tool has a limited remit.
Scoped credentials, bounded actions and approval steps reduce the reach of a mistake or a compromised agent.
Your team can operate the result.
Logging, monitoring, rollback and documented ownership are part of delivery, alongside the code and deployment configuration.
05 / Working together
Different starting points.
The same engineering care.
For founders & startups
Build the first
useful version.
Make the critical technical choices, test the product thesis and build a system your team can continue to develop.
- Technical discovery & feasibility
- Prototype to first release
- Architecture & engineering leadership
For enterprise teams
Bring AI into
an operating business.
Integrate with the systems, controls and responsibilities already in place. Start with a defined use case and a credible route to production.
- Use-case & architecture assessment
- Systems integration & controlled pilots
- Production hardening & team handover
A clear path through the work
- 01Define
Problem, constraints and acceptance criteria.
- 02Prove
Test the difficult assumptions with working code.
- 03Build
Develop, integrate and evaluate the system.
- 04Operate
Release, document and establish ownership.
06 / In our name
Three disciplines.
One engineering team.
VraiBlock takes its name from VR, AI and blockchain: three areas the team has been developing in for a long time. AI is our main focus today. The broader engineering experience still shapes how we build.
Spatial computing
Immersive interaction, simulation and experiences that connect software to physical space.
Artificial intelligence
Agents, intelligent products and the infrastructure needed to run them responsibly.
Blockchain
Distributed systems, programmable ownership and verifiable transactions.
Before we start
A few practical
questions.
Can you work with our existing systems?
Yes. We start by understanding the systems, interfaces and controls already in place. Where possible, an integration works through existing APIs and scoped access. Any changes to core systems are assessed and agreed before development.
Do we have to use a public AI service?
No single deployment model fits every project. Hosted model APIs, private cloud and self-hosted models have different trade-offs. We assess data sensitivity, performance, cost and operational requirements before recommending an approach.
How does an engagement begin?
With a discussion of the problem, your environment and the decisions ahead. From there, we define an appropriate first scope, the expected deliverables and how success will be assessed. Some projects begin with discovery; others are ready for a build.
Who owns the code and the system?
Ownership, repository access, infrastructure responsibilities and handover are agreed at the outset. We structure delivery so your team has the documentation and access needed to maintain and extend the result.
Start a conversation
What are you
working on?
A new product. A complex integration. An AI system that needs to be ready for production. Tell us where you are and what needs to happen next.
hello@vraiblock.com
Independent thinking.Hands-on engineering.