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 MarketsCustom AI.
Built around your business.
Owned by you. Run by you. Measured for you.
We pair hands-on engineering with systems already proven in our own products. Live in weeks, not months.
Starts with a two-week assessment at a fixed fee, credited in full against any build.
Live today
Read every case- Answers customers
Hospitality and catering
Thirty years of pricing knowledge locked in one person's head. Turned into a quoting engine the customer runs themselves.
Data and reporting automationRead the case - Runs the operation
Financial markets intelligence
Live data arriving faster than anyone can read it. Eleven live streams ingested, cross-checked and written up as a decision brief, around the clock, unattended.
AI product developmentRead the case - Answers customers
Events management
The same questions asked over and over, at all hours. An agent answers from live data, and refuses what it cannot verify.
AI product developmentRead the case - Runs without hands
Creator and personal brand
The whole operation ran on one person's memory. Agents run it to a schedule, inside limits they cannot exceed.
AI agent developmentRead the case - Runs the operation
Education
Guidance that sounds right and is sometimes wrong. The model explains; the arithmetic decides what is correct.
AI product developmentRead the case - Runs without hands
Group marketing
Every company keeping its own numbers, none of them comparable. One set everyone reads, refreshed nightly, computed in code.
Data and reporting automationRead the case - Runs without hands
Healthcare and counselling
Skilled hours lost to intake paperwork. The admin runs itself, with no AI anywhere a client can meet it.
AI consulting and assessmentRead the case
Seven industries. One method. Clients are named with their written permission.
The AI implementation gap
Published research, cited95%
of enterprise GenAI pilots produce no measurable P&L return.
MIT, The GenAI Divide: State of AI in Business, 2025
30%
of GenAI projects would be abandoned after proof of concept by the end of 2025, Gartner predicted, blaming poor data, weak controls, rising costs or unclear business value.
Gartner, July 2024
84% / 31%
In the GCC, most companies now use AI in at least one function. Fewer than a third have scaled it across the business.
McKinsey, The State of AI in GCC Countries, 2025
11%
of GCC organisations qualify as value realisers, able to attribute at least 5% of earnings to AI.
McKinsey, same study
The models work. Getting them into daily work is the hard part.
Where AI stalls
Four reasons AI never reaches daily work.
The AI is the easy part. We close all four, as one team.
AI that does not know you
Everyone has the same models. Your business is the difference.
Read more: AI that does not know youHow we close the gaps
Six rules. Every project.
This is what turns a demo into daily work.
- 01
Cost it first
Every project starts with what the work costs you today.
- 02
Fix the process
We redesign the work before any AI touches it.
- 03
Real systems, day one
Your CRM, inbox and documents go in early, not at the end.
- 04
Plan the odd cases
We agree what the system handles and what a person checks.
- 05
Numbers you can trust
Every figure is worked out in code, never guessed by AI.
- 06
Measure the result
We record where you start, so the gain is proven, not claimed.
Built for daily use, not a demo
Drag the line. Too little AI, and the odd jobs land back on your team. Too much, and mistakes reach your customers. We set the line with you.
Steps where they work, judgement where they do not
16 of 16 handledoutput in order
Fixed steps do the parts that never change. Judgement is used only where the work genuinely needs it, agreed in writing before anything is built, and every number is still worked out and checked.
What you actually buy
Three ways to stop doing the work.
Same team. Same method. You choose how much you hand over.
- 01
Stop doing it by hand
Workflow automation
The jobs your team repeats every week get done without anyone doing them.
Right for you if
Bookings in a notebook. Quotes in email. The same report rebuilt every Monday. The business works, but it runs on people remembering things.
- The repeat jobs run on their own: the quotes, the replies, the reports, the paperwork
- One place for the customer side and the office side, instead of six
- The work that genuinely needs a person stays with a person, deliberately
- Everything on the infrastructure the big firms use, in accounts opened in your name
Your team gets its week back and spends it on the work only they can do.
- 02
Put someone on the front line
Workflow automation with agentic AI
Everything above, plus one more pair of hands that talks to your customers and gets on with things.
Right for you if
The same questions arrive all day and half the night. Somebody has to answer them, chase the details and tie up the loose ends, and that somebody is expensive.
- Customers get answered straight away, at any hour, in your voice
- It goes and does the job: looks things up, arranges them, follows them through
- It copes with the awkward cases somebody would otherwise have to handle, which is most of real work
- You decide in advance what it may do alone and what still comes to you
Your team keeps the work that needs them, and your customers get an answer whatever the hour.
- 03
A workforce that runs itself
Fully autonomous systems, a network of AI workers
A team of them, each holding a job, running the operation between them.
Right for you if
Work that never stops and should not need anyone awake for it. A product, a market, a channel that has to keep moving whether or not you are there.
- Each worker holds a job and they hand work between them, day and night
- They get better as they go, learning from what worked and what did not
- They catch their own mistakes and fix them, instead of waiting to be told
- You read the results in plain numbers rather than running any of it
The operation simply runs, and your attention goes where only you can go.
Tell us what you want to stop doing
Most businesses start on the first and climb. Not sure which? That is what the first call is for.
Built by Decifer
Proof, not a demoWe run what we build.
Every method we sell runs first in our own products. Real users. Real data. Real running costs. That is how we know it holds.
7
months running every day with nobody operating it
Source: decifer-trading git history, first commit 2026-03-25; months worked out when the site is rebuilt. Verified 2026-10-29.
30+
jobs that run overnight so nobody has to remember to start them
Source: crontab, vercel.json and launchd files per repo. Verified 2026-08-22.
25+
business systems already connected: CRM, email, ads, payments
Source: integration clients per repo, deduplicated. Verified 2026-08-22.
9,000+
automatic checks that run before any change reaches a user
Source: decifer-trading tests/, counted 2026-08-22. Verified 2026-08-22.
Every figure above is listed with its source and the date it was last checked on how we count.
- Live
BetaDecifer Learning
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
LiveDecifer Marketing
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 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.
What we do
How engagements runAI agent development
Two to eight weeks, then a retainer
Remove manual work from processes that can be measured.
We redesign the process, then build the system around it: agents scoped to one job, with limits you can see and a log you can check.
Scoped in writing
Human review where a mistake is expensive
Read the service
Data and reporting automation
One to eight weeks, fixed fee
Make business information usable.
Your data lands in one place you can query, including the data trapped in documents, and the reports assemble themselves from figures computed in code.
Fixed fee
Raw data exported to you
Read the service
AI product development
Six to twelve weeks, fixed fee
From nothing to live in weeks, and you keep the repository.
A complete product: website, database, logins, payments, email and analytics, built in weeks and handed over with the code.
Fixed fee
The repository transfers at handover
Read the service
AI consulting and assessment
Two weeks, fixed fee
Find the AI opportunities worth funding first.
A fixed-scope opportunity assessment that maps where time actually goes, costs the current process as a baseline, and ranks what to automate first.
Fixed fee
Credited in full against any build
Read the service
Four ways to start. Twenty workflows already built.
Discuss a business processThe founder
Decifer on LinkedInDecifer. Dubai, UAE.
- Every enquiry read by the person who builds the work
- A reply within one working day
- A straight answer on where AI pays
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.
I am in Dubai and I read every enquiry myself. You get a straight answer on where AI pays, and the simplest build that works.
Questions buyers ask us
Ask a different oneWhat does Decifer do?
Decifer is the AI team a business does not have to hire. We work out where AI pays in your business, learn how the work really runs, and build it into the systems you already use, starting from workflows we have already built and run. We stay until it is in daily use and measured against where you started. We also build and run products of our own, which is where the method is tested.
Where should we start?
With a process where the outcome can be measured: repeated manual work, high volume, slow response times, fragmented information, or decisions that keep needing the same context. The two-week assessment ranks these before anything is built, at a fixed fee credited in full against any build that follows.
We already ran a pilot and it stalled. Can you take it over?
Often, yes. The assessment works on an existing pilot as well as a new idea. We baseline the process, find the point it stopped at, and set out the shortest route from there to something running daily.
Can you work with our existing systems?
Yes. Most of the work involves existing environments. We assess the available APIs, databases, documents and permissions before deciding how the implementation connects to them.
Do you build AI agents?
Yes, where the workflow benefits from one. Where plain automation or a simple lookup does the same job, we build that instead: it costs less every month and your team can own it. We have made that swap 5 times in our own systems.
How do you deal with AI errors?
We design around them. Figures are checked against what the code calculated, actions are limited to what the job needs, a person reviews anything expensive, every step is logged, and unusual cases have a route out. The system will not publish a number it did not work out. How tight the controls are depends on what a wrong answer would cost you.
How do you calculate ROI?
The baseline is taken before implementation: employee time, processing cost, turnaround, error rate, conversion or another operating measure. After deployment the same measures are read again, the same way. Without a baseline, ROI is an opinion.
Who owns what gets built?
You do. Every account is opened in your name, the repository transfers to you at handover with a runbook, and the data lives in standard Postgres you can export. Ongoing support is a commercial choice, never a technical trap.
Can you show us named client work?
Where a client has agreed in writing to be named, yes. Otherwise we describe work by sector and shape, with what we built, what changed, how it is measured and where a person stays in charge. Your project would be treated the same way. Figures are published only with the method and written permission.
Discuss a business process
Thirty minutes on the process you want to improve. You will know what the right solution looks like, what it would take to build, and what it should return.
Replies come from a named person in Dubai within one working day.