Syntora Ai · software studio · Islamabad · since 2019
Systems that do the work
We build AI systems, automation and the web products they run on, for teams that want the repetitive part of their week handled by software. We also make SyntoraData, company data you can trace.
Free 30-minute process audit→ one process mapped · a straight answer on whether to automate it
2019
Founded
Same two founders since day one
5
Practices
AI, automation, web, private AI, growth
1
Own product
SyntoraData, company data with sources
$4,500
Projects from
Fixed scope, fixed price
30 min
Free audit
One process, a straight answer
What we do
Five practices, one team
Most real problems cross two or three of these at once. A lead-qualification problem is a data problem, an automation problem and an interface problem before it is an AI problem.
Work arrives, is cleaned, is reasoned over, and then meets a gate. If the system is confident, it acts. If not, it stops and asks a person.
01ArrivesPDF, email, ticket, form
02Retrievecontext from your own documents
03Modelextract, classify or answer
04Gateconfidence threshold you set
05Actwritten to your system, source kept
Below the threshold, a person decides. The item waits in a review queue, and the correction becomes a new test case, so the same doubt costs less next time.
Our product
SyntoraData: company data you can trace
Company records built from official registers, global identifiers and licensed datasets, enriched from each company’s own website by a crawler that follows robots.txt. Every fact keeps the page and the date it came from. We build it and run it.
It is a real trade-off and worth naming. A two-person studio cannot absorb five projects at once, and if we are full we will tell you when we are free rather than stretching thin across your work and someone else's.
What you get in exchange is that nobody is managing the person who is managing the person doing the work. The person who scopes your project writes it, and the person you call when something breaks is the one who shipped it.
If your project genuinely needs a team of ten in parallel, we are the wrong choice and we will say so on the first call.
What if the AI is not accurate enough?
You find out in days rather than months, because measuring it is the second stage of the process and not the last.
We build an evaluation set from your real data — including the awkward cases — and score against it before anything reaches production. If it cannot hit a threshold that makes the project worth doing, we tell you then, while very little has been spent.
Everything we ship also has a confidence gate: below the threshold, the case stops and waits for a person rather than being written and quietly being wrong.
Who owns the code?
You do, on delivery. It lives in your repository, deployed to your accounts, with your credentials.
We do not retain a licence, and we do not host anything on infrastructure you cannot access.
Send a paragraph about the process that costs you the most time. We will reply with a view on whether it is worth automating and roughly what it would take, before anyone talks about a proposal.