About

Based in Dubai. Built to be checked.

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.

Code works out the numbers. AI writes the words. Nothing goes out with a figure the system did not calculate.

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.

In

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.

Calculated

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.

Written up

AI writes the words

Reading documents, sorting, summarising, drafting the reply. It may explain a figure it was handed. It may never produce one.

Owned

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.

One method, for our products and your business.

Three steps that run every product we make and every engagement we take.

  1. Step 01

    Collect

    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.

  2. Step 02

    Connect

    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.

  3. Step 03

    Explain

    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.

Six rules that apply to everything.

They apply to our products and to every client engagement. They are why the work holds up at real volume.

  • A person decides

    The system explains context and drafts the next step. We keep a human wherever a mistake is expensive.

  • A claim without a source does not ship

    Outputs are connected to checked inputs, references or defined logic.

  • The system says when it does not know

    AI should not sound certain when the information is incomplete or changing. Neither should we.

  • Safety depends on the domain

    A clinic, a classroom and a trading desk need different safeguards. Some domains get no AI at all where a person could meet it.

  • You own what we build

    Your accounts, your data, your repository. At handover there is nothing of yours that only we can reach.

  • Clients are named only with written permission

    By default, work is described by shape. Numbers appear only with the method and written permission.

Amit Chopra

Founder, Decifer. Dubai, UAE.

  • Reads every enquiry himself
  • Replies within one working day
  • Will say when AI is the wrong answer

You will deal with the person who builds the work.

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.

More about how we work

Built by Decifer

Evidence, not an offer

We run our own systems in production.

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.

  • Decifer Markets home page: the daily market read, today's biggest moves, and what to watch next.

    Decifer Markets

    Market intelligence

    Live

    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
  • Decifer Learning home page: a parent's view of a child's progress through the UK curriculum.

    Decifer Learning

    Learning intelligence

    Beta

    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
  • Decifer Marketing home page: three decisions to grow, each backed by the actual numbers.

    Decifer Marketing

    Marketing intelligence

    Live

    Decifer Marketing turns campaign, channel and audience data into a plain-English read on what is working, why, and what to do next.

    Open Marketing

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.

How we count.

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.

3
live systems you can open and use before you hire us
5
months running every day with nobody operating it
380+
working screens and system connections in daily use
120+
tables of business data you could export tomorrow
30+
jobs that run overnight so nobody has to remember to start them
25+
business systems already connected: CRM, email, ads, payments
9,000+
automatic checks that run before any change reaches a user
5
times we swapped AI for plain code that costs less to run
FigureWhat it meansWhere it was read fromVerified
3live 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 resolves2026-08-22
5months 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 2026-03-252026-08-22
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, summed2026-08-22
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, summed2026-08-22
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 repo2026-08-22
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, deduplicated2026-08-22
11live 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 2026-08-252026-08-25
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 2026-08-222026-08-22
Paperbroker 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.md2026-08-22
719documents 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.md2026-08-22
1,312prices 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 table2026-08-22
16data 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 live2026-08-22
40/40guest 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 log2026-08-22
5times 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 comments2026-08-22

A named person in Dubai, and a real reply.

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.

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.