Decifer Markets
Market intelligence
Decifer Markets turns market noise into a plain-English read on what is moving, why it matters and what to watch, across stocks, themes and catalysts.
Open MarketsAI monitoring agent
Watched around the clock, and a named person told when it matters.
An agent that watches your feeds, numbers and systems continuously, and escalates to a named person when a threshold you set is crossed.
Built with Supabase, DigitalOcean, Claude, Telegram.
The situation you are probably in
The dashboard exists and nobody opens it, because nothing is usually wrong. Then something is wrong for three days before anyone notices, and the cost of those three days would have paid for years of watching. Attention is the scarcest thing in the business, and dashboards spend it; they do not save it.
What we do about it
We write down what worth knowing means for you: the threshold, the change, the silence that signals a problem. The agent watches continuously and does nothing visible until a rule fires, and then it tells a named person, with the context attached, through the channel they already read. Escalation paths, thresholds and who is told are written rules. The measure of success is how rarely it speaks and how much it matters when it does.
Typical engagement. Two to five weeks from scope to the first monitors running, then a monthly line to tune thresholds as false alarms surface.
Where this already runs
Six monitors run inside our own market intelligence product: news, momentum, sectors, options flow, system health, and a watchdog on the broker connection that repairs its own scheduler and pages a human when it cannot. In our marketing system the monitor proposes changes into a ledger and a person commits them, which is the escalation pattern most businesses actually want.
Most builds of this shape start with the two-week assessment: we map the process as it runs today, cost it, and write the scope. The fee is credited in full against the build.
Start with the two-week assessmentWhat you receive.
Concrete things, not outcomes on a slide. This list is the scope of the engagement.
- 1
A written definition of what gets watched and what worth knowing means
- 2
Continuous watching, with silence as the default state
- 3
Escalation to a named person with the context attached, in the channel they already read
- 4
A watchdog on the watcher, so the monitoring itself failing is also an alert
- 5
Every alert and its outcome logged, so false alarms get tuned out
- 6
Thresholds editable by your team as the business changes
A good fit when
- A problem discovered late has already cost real money at least once
- The signals exist in feeds or systems a machine can read
- You would rather be interrupted rarely and reliably than watch a screen
The right starting point when
You want the regular picture, not the exceptional moment. Reporting automation sends the scheduled report; monitoring is its always-on partner, and they share sources.
What needs watching is your own published content. The quality control agent checks it nightly against a known source and repairs what drifts.
Nobody has defined what normal looks like yet. The two-week assessment takes the baseline first, so the thresholds are facts rather than guesses. The fee is credited in full against the build.
Not sure which of these is you? Describe the process and we will point you at the right one, on this page or another.
Price it before you commission it
Put the hours the task takes today, the salary of the person doing it and any quote you hold through the payback calculator. It shows the yearly saving, the payback period and the arithmetic behind both. Free, and nothing is stored.
Run the payback numbersThings you can check.
Figures from our own systems that this service draws on. Each one names its source.
- 30+
- jobs that run overnight so nobody has to remember to start them
- 11
- live data streams read and cross-checked while nobody is watching
- 5
- months running every day with nobody operating it
Every figure names its source. How we count. The investing system runs on a broker paper account, not real money.
Built this way for ourselves
Decifer Markets is a public product we run with the same method this service uses. Open it before you hire us.
Live
Work of this shape
Financial markets intelligence
United Arab Emirates
Our own product
Market noise turned into a plain-English daily read
Decifer Markets, Decifer's own market intelligence product, public since March 2026 and named because it is ours.
Result: The system has run in production since March 2026, and every dated incident in its record produced a permanent fix rather than a note.
AI product development
Data and reporting automation
Read the case
Group marketing
United Arab Emirates
Nine businesses, one board-level view
A family-owned group with operating companies across automotive, infrastructure and financial services.
Result: Leadership sees every company on one page, refreshed nightly, instead of quarterly.
Data and reporting automation
Read the case
Make the next AI project one the business can measure.
Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.
Replies come from a named person in Dubai within one working day.