Industrial and equipment data
Historian, SCADA, PLC and DCS data, plant reports, equipment records and operational analysis: working out what the data can and cannot support before anything is built on it.
Your operational challenges and ideas, engineered into working systems.
Skyfall AI combines mechanical engineering, instrumentation and operational experience with AI and software capability to determine what is practical, then build it.
AI training data operations
Ongoing since 2019
Where we start
Our team brings backgrounds in mechanical engineering, instrumentation and operational environments. This helps us understand equipment, processes and practical constraints before applying AI or software.
We combine that foundation with modern AI and software capability to assess what is useful and build what is practical.
Most projects combine more than one capability. We determine the practical combination after assessing the challenge.
Automation and system integration
Workflows, reporting and approvals that still run by hand, and systems that should be exchanging information but are not.
AI agents and intelligent tools
Focused systems grounded in a client’s own products, procedures and records, so answers come from what the business actually holds rather than from general knowledge.
Computer vision
Detection, counting and inspection from images or video, where a person currently has to look.
How it works
How we approach the work.
01
Tell us about the challenge
Plain words are enough. No specification required.
02
We assess it properly
The real process, the data that exists, the systems already in place, and the constraints around them.
03
We build what is practical
The smallest useful solution, tested against real cases before wider use.
We don't force AI onto a challenge. If something isn't worth building, we'll tell you that instead.
Selected work
Two lines of work.
Delivered
Software and AI systems
- An inventory and purchasing system.
- Order-notification and follow-up automation.
- An AI sales agent grounded in a client’s own product data.
Ongoing since 2019
AI training data operations
Multilingual data collection, transcription and annotation for training AI models, including automatic speech recognition and image classification, with contributor operations managed end to end.
Notes from engineering, operations and AI practice, focused on what is useful, what is practical and what is not worth building.
Detect, count, check: three practical computer-vision tasks
A technical example of three useful starting points for operational computer vision, and the early checks an existing camera should pass before proceeding.
Skyfall AI Team
When automation is not worth doing
Four situations where automating a task costs more than the task does, and the questions to ask before you spend money finding that out the hard way.
Skyfall AI Team
Get started
Have a challenge or idea in mind?
Tell us what you are trying to improve, investigate or build. It may be taking too much time, costing more than it should, or becoming difficult to manage. You do not need to diagnose the solution first.