
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 MarketsAbout
Decifer is an AI implementation company in Dubai, United Arab Emirates. It takes business processes from AI pilot to dependable daily operation for businesses here and abroad, and it runs three public products with exactly the same method.
Why the company exists
Decifer builds AI that actually runs inside a business, from week one.
We run the same rule on our own systems first: three public products, running day and night for months. The software computes every number. AI only writes the words or reads the documents, inside limits we write down in advance and test. Most of a job does not need AI at all; it is only used where a decision needs real judgement. We sell that discipline — deciding exactly where that point is, then building it inside your business, the same way we already built it inside our own.
That is the whole method in one sentence. Every figure a customer sees is produced by ordinary code that can be read and checked. A model may write the sentence around the figure, or pull a fact out of a document, but it never invents the number, and the build stops if it tries.
It shows up in different ways. A figure that cannot appear in a sentence unless the code produced it. A child's maths marked by arithmetic rather than by opinion. A quote that cannot be issued above what the kitchen can actually deliver. A guest record with nowhere to write a passport number, so it cannot be kept.
Sometimes the right move is to take the AI out. We have done that in working systems 5 times, because a plain check was cheaper to run, faster, and could not make anything up. A client pays for the result, not for a model doing work that does not need one.
Inputs that can be checked
Your documents, your records, live reads from the systems you already run. Everything the system may answer from, and nothing it may not.
Code works out the numbers
Prices, scores, totals, checks, business rules. Worked out the same way every time, and the only place a figure can come from.
AI writes the words
Reading documents, sorting, summarising, drafting the reply. It may explain a figure it was handed. It may never produce one.
A person keeps the decision
Anything expensive has a named owner, an approval step, and a route out when the information is not there.
The line is held by a check, not by a promise. If a model writes a figure the code did not calculate, the change does not ship. That check runs across all four stages, which is the only reason the rule above survives contact with a deadline.
Three steps that run every product we make and every engagement we take.
Step 01
Start with inputs that can be checked. In a product, that means trusted sources and structured data. In your business, it means seeing how the work actually runs, not how the process document says it runs.
Step 02
Apply the rules of the domain and the systems you already pay for. AI is used only where a decision needs real judgement; every number is computed in code, never guessed by a model.
Step 03
Plain language, sources visible, uncertainty stated. For a client that also means a log you can read, a runbook, and a system you can switch off.
They apply to our products and to every client engagement. They are why the work holds up at real volume.
The system explains context and drafts the next step. We keep a human wherever a mistake is expensive.
Outputs are connected to checked inputs, references or defined logic.
AI should not sound certain when the information is incomplete or changing. Neither should we.
A clinic, a classroom and a trading desk need different safeguards. Some domains get no AI at all where a person could meet it.
Your accounts, your data, your repository. At handover there is nothing of yours that only we can reach.
By default, work is described by shape. Numbers appear only with the method and written permission.
Amit Chopra
Founder, Decifer. Dubai, UAE.
I started Decifer because businesses are drowning in information and short of understanding. The first answers were our own products. Running them in production taught me what it takes to keep AI working after the demo, and other businesses began asking for the same thing.
Before we sell a method, we run it. Operating real products builds a discipline that demonstrations do not: real users, real data, model failures, infrastructure cost, monitoring and support. Decifer operates three public products built the same way we build for clients. They are not what this site sells. They are how we know the method holds.

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 Markets
Learning intelligence
Decifer Learning is a guided companion for the UK National Curriculum. Children learn, practise and quiz through each topic while parents see real progress.
Open Learning
Marketing intelligence
Decifer Marketing turns campaign, channel and audience data into a plain-English read on what is working, why, and what to do next.
Open MarketingThe investing system trades a broker paper account. It has never submitted a live order and is not a real-money track record. We say this everywhere it is mentioned.
Every figure about Decifer on this site comes from this list, and each one names where it was read from and when. If a number about us is not here, it must not appear on the site. Published third-party research is the one exception, and it is only ever shown with the publisher and date beside it.
| Figure | What it means | Where it was read from | Verified |
|---|---|---|---|
| 3 | live systems you can open and use before you hire us. Decifer Markets, Decifer Learning and Decifer Marketing are public and running, built the same way we build for clients. You can try the standard of work before you commit to it. | products.ts; each href resolves | 2026-08-22 |
| 5 | months running every day with nobody operating it. The market intelligence system has run since March 2026. Nobody starts it in the morning and nobody restarts it at night. That is the standard a system has to reach before it takes work off your team rather than adding some. | decifer-trading git history, first commit 2026-03-25 | 2026-08-22 |
| 380+ | working screens and system connections in daily use. Around 235 screens people use and 145 connections between systems, across the live products. Shipped and in use, not demonstrations. | route counts per repo, summed | 2026-08-22 |
| 120+ | tables of business data you could export tomorrow. Every product keeps its data in standard Postgres. There is no Decifer format and nothing has to be rescued from us, so replacing us stays a commercial decision rather than a technical one. | schema and migration files per repo, summed | 2026-08-22 |
| 30+ | jobs that run overnight so nobody has to remember to start them. Scheduled work running unattended on servers and on Vercel, including a watchdog that repairs its own scheduler and pages a human if it cannot. | crontab, vercel.json and launchd files per repo | 2026-08-22 |
| 25+ | business systems already connected: CRM, email, ads, payments. Brokers, market data, analytics, advertising, messaging, payments, email and four model providers. Wiring your systems together is work we have already done elsewhere, not work we learn on your budget. | integration clients per repo, deduplicated | 2026-08-22 |
| 11 | live data streams read and cross-checked while nobody is watching. Alpaca, Financial Modeling Prep, SEC EDGAR, FRED, Alpha Vantage, Yahoo Finance, Finviz, Interactive Brokers, Reddit, X and Wikipedia all arrive on their own schedule. The system pulls them, checks them against each other and writes the result up as a brief, around the clock, with nobody starting it. That is the mechanism any business with more feeds than readers needs, whether the feeds are markets, shipments or claims. | decifer-trading: distinct external data providers called from the code, counted 2026-08-25 | 2026-08-25 |
| 9,000+ | automatic checks that run before any change reaches a user. 9,064 checks across 411 files in the market intelligence system, plus suites that grade the agents against the live database. They are the reason a fault is caught by the build and not by your customer. | decifer-trading tests/, counted 2026-08-22 | 2026-08-22 |
| Paper | broker account, not real money. The investing system trades a broker paper account. It has never submitted a live order and is not a real-money track record. We say this everywhere it is mentioned. | decifer-trading CLAUDE.md, LIVE_TRADING_GATE.md | 2026-08-22 |
| 719 | documents from thirty years of trading, searchable in weeks. 388 PDFs, 331 Word files and 25 spreadsheets from a catering business, turned into customers, events and a priced menu that anyone in the office can look up in seconds. | cater-command-center data pipeline, DATA_REPORT.md | 2026-08-22 |
| 1,312 | prices a customer can quote themselves, at any hour. A public menu builder runs the business's real function-sheet maths, including staffing, transport and VAT, so an enquiry arrives already priced instead of waiting for someone to open a spreadsheet on Monday. | cater-command-center menu_items table | 2026-08-22 |
| 16 | data sources feeding one set of numbers everyone reads. GA4, Search Console, Meta, LinkedIn, X, YouTube, Shopify, Klaviyo, HubSpot and more, pulling in nightly, so the report assembles itself instead of costing someone two days a month. | decifer-marketing connector catalog, status live | 2026-08-22 |
| 40/40 | guest questions answered correctly, including the ones set to trip it up. Forty-two real guest questions with known answers, seven of which pass only by refusing to leak or invent. Documented runs went 35 to 38 to 40 out of 40, which is how you know an agent is safe to put in front of a customer. | rebiza evals/concierge.json and run log | 2026-08-22 |
| 5 | times we swapped AI for plain code that costs less to run. Each time a simple rule-based check was cheaper, faster and could not invent anything. You pay for the result, not for a model doing work that does not need one. | rebiza, atlas, healcounselling: documented in code comments | 2026-08-22 |
Decifer is based in Dubai, United Arab Emirates, and its UAE company registration is in progress. It serves clients in the UAE, the wider Gulf, Singapore and the United Kingdom. Client work is named on this site only with written permission; the reasons are in our client confidentiality statement.
Enquiries are read and answered by the founder within one working day. Write to [email protected] or book a call.
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.