Services
We take on problems that need deep engineering and a scientific approach: decisions based on data and observation, not routine implementation without an understanding of the system and its data.
What we do
Analyze and optimize systems
We study your existing system, find its flaws and room for improvement, and deliver a written analysis with the pros and cons of each option. Your team can evaluate it before committing.
Build tools and AI solutions
Custom software and AI-enabled solutions, built from scratch or adapted from existing ones. Before rollout, each solution is demonstrated working, with screenshots and short recorded videos, so you can verify its behavior first.
System recovery and root-cause analysis
When a system is down or stuck, we find the root cause and restore a working state.
Connect existing systems securely
We make classic, standalone systems AI-enabled and connected with minimal effort and optimized cost, linking them securely to a central data center, cloud or neo-cloud. Our focus is the infrastructure and the application layer on top of it.
Technology evaluation reports
Which database, storage solution (HDFS and others), cloud, programming language or Linux distribution fits your team? We analyze the options against your requirements, decide, and deliver a written report. Charged as a fixed-scope engagement.
License it or have it built
Everything we offer comes in one of two ways.
License a product
- Closed source, licensed for your use: device-specific license key or online authentication
- An evaluation version first, so you can test it in your own environment
- License terms agreed to fit your requirements and budget
Build to your requirements
- Designed around your system and your problem
- Built from scratch, or adapted from an existing solution
- Source code and IP stay with you, with documentation and a handover
How we work
A clear path from your problem to a working solution, with your approval before any build starts.
Understand
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1
Requirements
We gather the facts about your existing system and the problem or requirement.
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2
Understand the system
We study the system in depth until we know how it really behaves.
Decide
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3
Formulate a solution
Long experience turns the picture into a clear solution.
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4
Propose with pros and cons
You receive the proposal with its advantages and its trade-offs.
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5
Approval
Work continues only after you approve.
Deliver
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6
Build
We develop the solution from scratch, or adapt an existing one to fix the problem.
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7
Test on a subset
It is tested on a small sample of your system first.
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8
Deploy gradually
It is rolled out step by step across the system.
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Success
The problem is solved, with source code, documentation and a handover.
NDA available. Source code and IP stay with the client.
Expertise
Computer vision on your data
Off-the-shelf models rarely survive real cameras, lighting and edge cases. Viki Labs builds the whole pipeline around your data, from labeling strategy to training, evaluation and deployment on your devices.
Explainable AI evaluation
Accuracy alone does not show whether a model decides for the right reasons. Viki Labs evaluates AI decisions with established explainability methods and with custom questionnaire applications that collect structured feedback from your domain experts. The approach follows the evaluation levels described by Doshi-Velez and Kim: with experts on real tasks, with people on simplified tasks, and with proxy measures.
Local LLM infrastructure setup and bring-up
Many organizations cannot send documents to an external AI service. Viki Labs sizes, sets up and brings up language-model infrastructure that runs entirely on your own machines, and connects it to your internal tools and documents.
Edge device security
Devices in the field cannot be reached by hand, so security has to be designed in. Viki Labs reviews and hardens the full chain from boot to update to remote access.
Kubernetes and service mesh
Clusters fail in ways that only appear under real load or after weeks of running. Viki Labs builds them to be operable and finds the cause when they are not.
Kernel crash analysis and recovery
A crashing kernel leaves little behind. Viki Labs collects what is left, from crash dumps to logs, finds the cause and brings the system back to a stable state.
Network debugging and resolution
Network problems hide in the details between devices. Viki Labs captures and reads the traffic, finds where it goes wrong and fixes it.
Linux application development and optimization
Solid foundations decide how maintainable everything above them is. Viki Labs builds Linux software and tunes the system underneath it, from boot to storage to security.
Industry 4.0: connecting existing systems
Connected devices must acquire data reliably, stay secure and remain maintainable for years. Viki Labs has built stable multi-process Linux applications for connected vehicles in Belgium and France, and connects existing standalone systems to central data centers and clouds in the same way.
Rescue debugging
Some problems resist every normal fix. Viki Labs steps in on a stuck system, isolates the cause and returns it to a state your team can run.