Build
We design and build AI systems that do the heavy lifting of one concrete process, integrated with what you already use.
A system in production
It reads what comes in by WhatsApp, email, PDF or spreadsheet, decides with your company's rules and loads it where it belongs: into the system you already have, or into the tool that best fits that job. And when it doesn't know, it doesn't guess: it tells a person.
Comes in
Goes out
The system
Reads, decides, loads
With your company's rules, in writing.
When it doesn't know, it tells a person.
The starting point
Inboxes sorted by hand.
Someone reads every email and decides where it goes.
Data trapped in documents.
That someone has to read, understand and type into a spreadsheet.
Questions that always land on the same two people.
And when they're out, nobody knows.
Systems that don't talk to each other.
Data gets copied from one to the other, sometimes wrong.
Inquiries that arrive after hours and get lost.
At the end of the month nobody knows how many there were.
All of the above is the same thing: work a person does today because until now there was no other way to do it.
What is worth building
If the data is already tidy and the rule is clear, automation is enough. If something has to be read, interpreted or answered, you need a system with AI. Which one fits gets settled in the diagnostic, not in the sales call.
When the data is already structured and the rule is clear.
When something has to be read, interpreted or answered.
It gets decided by looking at how the work happens today, not at a catalog.
What we build
What was there before and what happened after.
Wholesale distribution · Wholesale distributor of cleaning products
Four out of ten orders arrived after 6pm. Now they load on their own.
The order comes in over WhatsApp, in whatever format it arrives. The system checks it against the current price list, confirms it with the customer and loads it into Tango. It flags only what doesn't add up for review.
Distribution · Distributor of hardware and plumbing supplies
100 prices got checked a week. The other 3,700, never.
The system crawls competitor sites every day, matches each product to its own, and flags it when the gap crosses that category's threshold. Whoever sets prices changes them or doesn't.
Engineering and tenders · Electromechanical engineering and installation company
They bid on three tenders a month. Now they bid on nine, with the same people.
Three steps, one chain: the system crawls the portals every day, pulls deadlines, requirements and amounts from the tender document into a spreadsheet with a link to the paragraph, and drafts the proposal. The two people in the tenders team review and sign.
House rule: a number is only published when it can be defended with a period and a method. Otherwise we tell the fact. A number without a method is worse than no number.
The catalogue
Forty systems grouped by area of the company. Several are already running; which one comes first comes out of the diagnostic.
01 Sales and customers 11 systems
Answers, quotes, loads the order into the system and flags when a person is needed.
Takes the order and the price list and builds the quote, ready to review and send. Replaces copy-pasting from old templates.
The one who asked and didn't buy, the one who hasn't come back in six months. With judgement, not spam. New sales without spending on ads.
Confirms, reminds, reschedules. Cuts no-shows in healthcare, workshops and home services.
Order status, simple claims, warranties, returns.
Sign-up, documents, verification, first contact. Widely used in financial services and healthcare.
See the caseBy region, by product, by size. Raises conversion without adding salespeople.
See the caseWrites at the right moment, knowing what the person looked at.
See the caseFor companies that export or sell across the region. Opens up the market without adding staff.
See the caseWatches other people's prices every day and flags when it's worth moving yours.
See the caseReviews, complaints and conversations grouped by topic, with the trend over time.
See the case02 Administration 10 systems
Reminders before the due date, follow-up after, escalation to a person when it's warranted. Pays for itself by speeding collection up a few days.
See the casePulls the data out and loads it into the system. Every company with a back office needs it.
See the casePulls data from several sources, builds the periodic report and flags when a metric drifts. Gives administration a day back every week.
See the caseCross-checks, flags differences and leaves only the mismatches for review.
See the caseMatches bank movements with invoices and payments. Especially useful if you run many small transactions.
See the caseReads the receipt, categorises it and loads it.
See the caseBrings together real costs, discounts and logistics. Many mid-sized companies don't know which customer loses them money.
See the caseDuplicates, empty fields, made-up categories. The first step before almost everything else, and a good first project.
See the caseWith explicit, auditable criteria. For companies that hire seasonally.
See the caseLeave, payslips, policies. Lowers the admin load on the HR team.
See the case03 Operations 6 systems
Sorts, routes to the right team and answers the simple ones. Takes the pressure off the inbox that never empties.
See the caseAnswers the team's questions about policies, processes, products and customers. Removes the dependence on “the two people who know”.
See the caseSummary, decisions and tasks with an owner. Cheap to build, and the team notices on day one.
See the caseWhat today gets copied by hand from a spreadsheet to the ERP, from email to the CRM. Unglamorous, and one of the biggest hour savers.
See the casePast quotes, projects and cases, searchable in plain language. “What did we quote for something like this in 2023?”
See the caseHow much will be needed and when to buy it. Frees up the money sitting in stock.
See the case04 Documents and tenders 5 systems
Pulls deadlines, requirements and amounts into a spreadsheet, with a link to the source paragraph.
From the tender and previous proposals, builds the draft. With it you can bid on more tenders with the same people.
See the caseScans public procurement portals and flags the ones that fit the company's profile. For anyone who lives off tenders.
See the caseExpiry dates, clauses, amounts, automatic renewals. Avoids the fine or the renewal nobody saw.
See the caseWhat changed between the version you sent and the one that came back signed.
See the case05 By industry 10 systems
Handles the leads that arrive through MercadoLibre and WhatsApp, qualifies them, books the visit and leaves a count at month end. That's Raudo, a FOMO Labs product.
Loads, time windows, fuel costs. For distribution and last mile.
See the caseOn sensor data or failure history. Industry and fleets.
See the caseA camera on the production line to catch defects. Food, plastics, auto parts.
See the caseCertificates, customs, per-country requirements. Agriculture and food.
See the caseReport, documents, assessment, follow-up. Insurance and healthcare.
See the caseReminders, confirmations and the billing cycle. Medical and dental centres.
See the caseProgress, certifications, deviations from the schedule. Construction.
See the caseReal costing per dish or per product. Restaurants and food.
See the caseAssembles the periodic filing from the operational data.
See the caseWhich one comes first is decided in the diagnostic, not in the sale.
How we work
We understand how your company works today and build right there, so AI does the heavy lifting with your team inside.
01 Weeks 1–2
We talk for 30 minutes. Then we sit down with the people who do the work. You leave with a short list of what to do first, and why.
02 Weeks 3–6
One thing, small, with real data. We measure before and after, in your operation.
03 Weeks 7–10
What worked goes to production and the team takes ownership: training on their cases, use policy, a visible metric.
04 Weeks 11+
What's next. New processes, new areas. AI stops being a project.
Every stage can be the last one: at each step you decide whether we continue. We give the numbers in the first conversation.
Questions
Whatever the problem calls for. We don't sell licenses and we don't have a stack to push. Everything stays in your accounts and your repository.
No. We build alongside it, integrated through APIs, without touching what runs. What shouldn't be touched goes in writing.
Weeks, not months. One to two to discover, three to six to pilot small with real data, seven to ten to go to production with your team inside. Every stage can be the last.
At first we do, with your team watching. Then whoever you decide: everything stays documented and in your accounts, and it's built so you can keep going without us.
Let's talk
Tell us what's going on and we'll tell you frankly whether we can help, and how.
