
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 voice agent
A voice interface over your own systems. Someone asks a question out loud, gets a few sentences back, and can ask the agent to explain how it reached the answer.
Built with Claude, Supabase, DigitalOcean, Next.js.
The situation you are probably in
Some of your people are never at a desk. They are driving, on site, between meetings or walking a floor. The information they need exists, but reaching it means stopping, opening a laptop and clicking through screens built for someone sitting down.
What we do about it
We build a voice layer over the systems that already hold the answers, tuned for how people actually listen: a few sentences, not a paragraph. The agent assembles the same context it would for a written answer, and every figure it speaks is computed in code first. It can be asked to explain itself, which is what turns a spoken answer into one somebody will act on.
Typical engagement. Three to six weeks over systems that already answer in writing, then a monthly line to run it and widen what it covers.
Where this already runs
Running inside our own market intelligence product: a spoken question about a position or a market gets a few sentences back, and the agent can be asked to explain what the answer was built from. It reads the same live streams the written brief reads, so the spoken answer and the morning brief never disagree.
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 assessmentConcrete things, not outcomes on a slide. This list is the scope of the engagement.
A voice agent answering spoken questions from your live systems, on the device your team already carries
Answers shaped for listening: short, direct, and never a read-aloud dashboard
An explanation on request, so a person can hear what the answer was based on
Every figure computed in code before it is spoken
A written boundary: what it answers out loud, and what it sends as text instead
A transcript of every exchange, in one log your team can read
You want inbound calls answered. Start with the written and spoken channels we run today, and bring the telephony requirement to the first call. We will tell you exactly what it takes to add.
Customers, not staff, are the ones asking. Start with the chatbot, where every answer is graded against a test set before launch and each conversation is logged.
The question is really a report. The ask-your-data agent answers in writing from the same records, and shows the query behind every figure.
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 numbersFigures from our own systems that this service draws on. Each one names its source.
Every figure names its source. How we count. The investing system runs on a broker paper account, not real money.
Decifer Markets is a public product we run with the same method this service uses. Open it before you hire us.

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 MarketsThirty 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.