HublinkTech

HublinkTech Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from HublinkTech, Information Technology Company, sisli, Istanbul.

Hublinkly Ai Software Technology , designs and launches AI-powered SaaS products — from global B2B marketplaces to CRM+ERP systems and e-commerce — plus custom platforms and websites built for businesses worldwide.

Most teams ship AI features on impressions. Then something degrades and nobody can tell what changed.We wrote up how eva...
12/10/2026

Most teams ship AI features on impressions. Then something degrades and nobody can tell what changed.

We wrote up how evaluation is actually built: start from real failures rather than a published metric, build the dataset from real inputs including the hard ones, score retrieval separately from generation, and treat variance as a metric in its own right.

The first AI pilot usually works. The second phase stalls.The model needs the CRM, then the ERP, then the document store...
06/10/2026

The first AI pilot usually works. The second phase stalls.

The model needs the CRM, then the ERP, then the document store. Each connection gets built separately and the integration work grows faster than the value.

We wrote up what an AI system actually needs from a business system interface, how to handle permissions, and the order that works.

KVKK was written before modern AI. It still applies to it.Most teams scope their assessment to the database and miss the...
01/10/2026

KVKK was written before modern AI. It still applies to it.

Most teams scope their assessment to the database and miss the rest: the vector index, the prompt logs, the conversation history, the model weights, and every external API call that carries personal data across a border.

We wrote up which components hold personal data in an AI system, and what each one requires.

AI Agents in Production: Why They FailAgent demos work and production deployments stall. The failure modes are predictab...
28/09/2026

AI Agents in Production: Why They Fail
Agent demos work and production deployments stall. The failure modes are predictable — error compounding, context limits, tool design, and no way to observe what happened.

An AI agent demo is easy to build and hard to forget. A model receives a goal, calls tools, reasons about the results, and completes a task that would have taken a person an hour. It works on the first try in front of an audience.

The same system put into production behaves differently. It succeeds most of the time, fails in ways nobody anticipated, and produces failures that are difficult to reproduce and harder to explain. Teams that have shipped agents describe the same gap repeatedly: the demo was the easy part.

AWS Local Zone Istanbul: What It Actually ChangesAWS opened a Local Zone in Istanbul in May 2026. What a Local Zone is, ...
26/09/2026

AWS Local Zone Istanbul: What It Actually Changes

AWS opened a Local Zone in Istanbul in May 2026. What a Local Zone is, how it differs from a full Region, and what it changes for builds in Türkiye.
AWS made its Local Zone in Istanbul generally available on 20 May 2026. In the months since, it has often been described locally as AWS opening a region in Türkiye. It is not that, and the difference is the whole point of the announcement.
A Local Zone is a smaller infrastructure deployment that extends a subset of services into a metropolitan area, attached to a parent Region elsewhere. Knowing exactly which parts sit in Istanbul and which do not is what determines whether it solves your problem.

Why AI Struggles With HS Code ClassificationHS classification looks like a text matching task and is not. Here is what t...
21/09/2026

Why AI Struggles With HS Code Classification
HS classification looks like a text matching task and is not. Here is what the legal structure demands, and how to design an AI system around it.

Every SaaS product answers one architectural question before it answers any others: when two customers use the same syst...
17/09/2026

Every SaaS product answers one architectural question before it answers any others: when two customers use the same system, how far apart are their data, their compute and their failure modes? That question is called tenancy, and the answer shapes cost, compliance, release cadence and incident blast radius for the life of the product.

Most teams pick a tenancy model early, when the product has one customer and the decision feels theoretical. It stops being theoretical the first time a regulated buyer asks where their records physically live.

# # What a tenant actually is

A tenant is one customer organisation and everything that belongs to it: users, records, files, configuration, audit history. Tenancy is the set of rules that keeps one tenant's world separate from the next one's.

Separation happens at several layers, and they are independent of each other:

- **Data.** Separate rows, separate schemas, or separate databases.
- **Compute.** Shared application processes, or processes dedicated to one tenant.
- **Storage.** Shared object buckets with key prefixes, or dedicated buckets.
- **Identity.** Shared authentication with a tenant claim, or a dedicated directory.
- **Release.** Everyone upgrades together, or each tenant upgrades on its own schedule.

A system can be pooled at one layer and isolated at another. "Multi-tenant" on its own is not a specification.

AI agents help businesses automate tasks, improve productivity, and accelerate growth. From customer engagement to opera...
13/09/2026

AI agents help businesses automate tasks, improve productivity, and accelerate growth. From customer engagement to operations and decision-making, they work continuously to make your business smarter, faster, and more efficient.

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Istanbul

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