“Which specification
actually applies?”
Find the requirement, its conditions and the governing revision.
Aster is taking shape · Singapore
The next possibility starts
with connecting what you know.
We're building Aster: a workspace for company documents, connected knowledge and AI-assisted work. Less piecing things together. More seeing what comes next.
Workflow discovery · Solution design · Focused pilots
Your company knows a lot.
Getting it to work together is the interesting part.
02 / EXPLORE THE POSSIBILITY
From a useful answer to the details behind it.
Choose a path through this small example.
TECHNICAL KNOWLEDGE
“Which pressure rating applies?”
Illustrative concept. Choose a path; inspect the original.
The issue 4 specification gives a maximum working pressure of 14 bar for fresh water at 20°C. The medium and temperature belong with the number.
“R7 maximum working pressure: 14 bar, for fresh water at 20°C.”
A documented rating does not confirm actual operating conditions.
03 / BUILT AROUND THE WORK
The conversation is a starting point. The bigger idea is company knowledge that stays connected to its origins—and can be put to work again.
Start with original documents and a useful question. Keep the source and its version in view.
Explore useful facts, conditions, people and relationships, with evidence behind the interpretation.
Review what becomes shared knowledge. Make uncertainty and the next human decision clear.
Reuse what is relevant. When sources change, preserve the history and reassess what can still be used.
This is the direction we're building toward. Reliable extraction, reuse and correction are still being evaluated.
04 / START SOMEWHERE USEFUL
The business changes.
The need for better context doesn't.
Find the requirement, its conditions and the governing revision.
Compare relevant passages and keep unchanged terms in the picture.
Bring prerequisites together and surface the decision that remains.
Possible starting points for a focused pilot—not a promise that every workflow is already supported.
AN AMBITIOUS DIRECTION.
A PRACTICAL FIRST STEP.
Amp-AI is a founder-led project in Singapore. We start with how your team actually works.
We offer workflow discovery, solution design and focused pilot discussions while developing Aster. One recurring task, the information behind it, and a result we can check together.
A working synthetic prototype includes text and Markdown sources, search, a graph, knowledge proposals, review and reuse. Broader formats and company-scale operation are still ahead.
A LITTLE CLARITY
Tell us about one repeated task: what people need to find, the documents involved and where things get difficult. We can discuss a small demonstration or focused pilot. Scope, cost, access and data handling would be agreed before a pilot begins.
Current demonstrations use synthetic data. Aster is a developing prototype; real company documents need an agreed approach to access, storage, model providers and review. This public website does not accept uploads.
No. A source link makes an answer easier to inspect. It does not guarantee the interpretation, completeness or applicability. We are evaluating those concerns separately, including conflicting documents and changing information.
That is not a promise of the current prototype. Connected testing may send selected context and passages to OpenAI. A suitable deployment and data-handling model would need to be agreed and validated before sensitive company information is used.
Teams in Singapore that repeatedly search, compare or piece together company information. You don't need an AI strategy ready. A real example of a recurring task is a useful place to start.
THE NEXT CONNECTION STARTS HERE
Singapore ↗Bring us one question your team
keeps coming back to.
Keep your first message free of confidential documents and sensitive data.