Software, data platforms and AI that hold up under real load.

Since 2004, Telcotec has designed and built business-critical software, from high-volume data platforms to modern SaaS applications. We help organisations develop new systems, modernise existing technology and apply AI where it delivers real value.

Clients

Clients we have delivered for

What we do

From first idea to production system.

Whether you need a new SaaS product, a faster database or an AI feature your users can trust, the same senior team designs it, builds it and stays accountable for it.

Software & SaaS Engineering

When you need a new product, portal or SaaS platform, or an existing system has become hard to change.

You get a well-built application your team can run and extend, with secure accounts, subscriptions, integrations and APIs.

How we do it

Data Engineering & Analytics

When your data is spread across systems, reports are slow, or the numbers don't agree.

You get reliable pipelines and reporting that answer in seconds, from millions of rows to billions.

How we do it

Database Performance & Modernisation

When queries time out, storage and licence costs keep rising, or the platform has hit its limits.

You get faster systems now, and a measured plan for what comes next: tune, re-architect or migrate.

How we do it

Cloud Architecture

When you're moving to the cloud, scaling up, or your cloud bill has outgrown its value.

You get secure, scalable cloud environments on Azure, AWS or Google Cloud, with automated deployments and costs you understand.

How we do it

Applied AI & Automation

When you want AI that helps your users or team, without risking wrong answers or leaked data.

You get practical AI features grounded in your checked data, with guardrails, audit trails and measurable value.

How we do it

Across all five

Technical Advisory

Feasibility studies, architecture and code reviews, technical due diligence and roadmaps, for decisions you want to get right before you commit budget.

Get in touch →

Our track record

Experience you can check.

Figures from systems we have designed, built and delivered. No figure is attributed to a named client.

Established 2004

Designing and delivering business-critical software for more than 20 years.

High-volume engineering 150M

Experience engineering telecom platforms that process 150M records a day.

SQL Server to ClickHouse benchmark
300–970×faster daily reports
15×less storage

Moving a reporting layer from SQL Server to ClickHouse, with every report checked value by value.

SaaS platform eMock

An AI-powered education platform, designed and built end to end by Telcotec.

Our products

Real systems. Designed, built and delivered.

Two platforms in very different industries, both designed and built by Telcotec.

NPP Network Performance Portal

What is NPP? A traffic management and quality-of-service platform for telecom operators. It brings call records from every switch into one place, so teams can see how the network is performing, spot problems early and drill down to the individual call to find the cause.

150Mrecords a day, with near-real-time summaries

Key features

  • Traffic & QoS monitoring

    Traffic, call quality and route performance across the network.

  • Near real time

    Near-real-time summaries, not next-day reports.

  • Many CDR sources, one view

    Call records from multiple vendors, combined in a single report.

  • Hourly to monthly

    Hourly, daily, weekly and monthly reporting.

  • Drill down to the call

    Start at the top level, drill through any dimension, down to the CDR.

  • Rules & alarms

    Thresholds on key KPIs, with alerts when they are breached.

  • Static reports

    Scheduled, standard reports in a consistent format.

  • Dashboard reports

    Live KPIs and trends at a glance.

  • Ad hoc reports

    Build your own queries across any dimension.

Built into NPP

Rocky, our AI assistant

Ask questions about network performance in plain English. Answers come from checked queries, with sensitive data masked.

  • Plain-English questions
  • Checked queries
  • Data masking

Industries

Where we apply our expertise.

Our expertise grew up in telecoms, where data volumes are extreme and downtime is costly. We now apply it to education, to any business whose data has outgrown its systems, and to retailers who want to put machine learning to work.

Telecommunications

Operators, carriers and MVNOs

Call-record processing, network performance reporting, route quality, alarms and modernisation of analytics platforms that have hit their limits.

Common challenges

  • Call records from many switch vendors, each in its own format
  • Reports that slow down as traffic and history grow
  • Route and quality problems found only after customers complain
  • Storage and licence costs rising every year

How we help

  • One reporting view across all switches, down to the individual call
  • Near-real-time KPIs such as ASR, NER, PDD and MOS
  • Rules and alarms on the KPIs that matter
  • Faster, lower-cost analytics on modern columnar databases

Our experience We built NPP, our network performance platform, for operators handling 150 million records a day. About NPP

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Education & EdTech

Learning platforms with AI that helps

Online assessment, automated marking and feedback, and AI study tools, as built for eMock.

Common challenges

  • Teachers and tutors spending hours on marking
  • Students practising without useful feedback
  • Generic AI tools that give unreliable answers
  • Running subscriptions, accounts and content at scale

How we help

  • Online mock exams and timed practice tests
  • Automated marking with clear, detailed feedback
  • AI study help for vocabulary, comprehension and essay writing
  • A complete SaaS platform: sign-up, plans and payments

Our experience We built eMock, an online exam preparation platform, with Rocky as its AI study assistant. About eMock

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Retail & e-commerce

Machine learning on the data you already have

Demand forecasting, customer segmentation and sales analytics, built from your sales, stock and customer data.

Common challenges

  • Stock that runs out, or sits unsold, because demand is hard to predict
  • Customer data spread across tills, website and loyalty systems
  • Reports that show what happened, not what is likely to happen
  • Marketing sent to everyone instead of the right customers

How we help

  • Demand forecasting from sales history, seasonality and promotions
  • Customer segmentation based on how people actually buy
  • Sales and margin dashboards across products, stores and channels
  • Product recommendations for your website or campaigns

What we bring The data engineering and machine learning skills we use on high-volume telecom and education data, applied to your sales, stock and customer data. Applied AI

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Data-intensive businesses

When your data outgrows your systems

Slow reports, rising cloud bills, spreadsheets standing in for software. We fix the engineering underneath.

Common challenges

  • Reports that take minutes, or run overnight
  • Cloud and database bills growing faster than the business
  • Spreadsheets doing the job of proper software
  • Numbers that don't agree between systems

How we help

  • Database tuning, or a measured move to a faster platform
  • Cost reviews that find waste and right-size resources
  • Reliable applications in place of fragile spreadsheets
  • One trusted data model behind every report

Our experience In our own benchmark at telecom-operator volumes, ClickHouse ran daily reports 300–970× faster than SQL Server, and all KPIs matched. Read the case study

Get in touch

Contact

Let’s talk about your project.

Email us a few lines about what you need. We will reply and suggest a sensible first step.

  1. 1
    We reply within one working daywith any questions and a suggested next step.
  2. 2
    A short callto understand your goals, constraints and data.
  3. 3
    A written scopebefore any work starts, so you know exactly what you get.

Email us

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