Intelligence with a job
Models earn their place in the architecture, or they do not ship.
Avarix builds AI into products the same way we build any other demanding subsystem: with a job, a boundary, a version, and a way to be wrong. That includes classical machine learning, computer vision, edge inference, and agent-style automation that is logged and reversible. We do not sprinkle a chatbot on an unfinished system and call it transformation.
What we do
AI & Intelligent Systems
- 01
Problem framing
Which decision improves if a model exists? What data is actually available? What happens when the model is unsure?
- 02
Data and evaluation
Pipelines, labelling strategy, leakage, and tests that resemble the field rather than a leaderboard.
- 03
Inference in the real topology
Cloud, on-prem, or on-device. Latency, power, privacy and fail-closed behaviour decide, not a vendor diagram.
- 04
Agents with brakes
Tool-using systems that operate inside contracts: permissions, logs, human confirmation where the action matters.
When to engage
- You have a genuine inference or automation problem, not a mandate to “add AI.”
- A model must run near a device, a plant, or a regulated workflow.
- Existing software needs intelligence without losing auditability.
- Vision, sensing or document-heavy operations are the bottleneck.
Disciplines in play
- Problem framing
- ML systems
- Computer vision
- Edge inference
- Agents
- Evaluation
- Data pipelines
- Product integration
Typical outputs
- — An explicit decision and data design
- — Training / evaluation approach
- — Inference services or on-device runtimes
- — Application integration with override paths
- — Operational monitoring for model behaviour
Related work
03
Representative engagement · AI-enabled operations
Inspectable inference in an ops workflow
Software / AI / Cloud / Web
An operations product where models had to earn their place: grounded in real events, inspectable by people who own the outcome, and deployable next to systems that already run the business.
06
Representative engagement · Sensing & edge
Calibrated measurement with a device identity
Hardware / Embedded / IoT / AI / Cloud
A sensor product where the value lived in the measurement itself: calibrated, timestamped, and available to both an on-site system and a remote platform.
Enquire
Tell us what you are building.
An engineer will read it. If we are the wrong team, we will say so.