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TashIT

AI, software and intelligent engineering company: Engineering Intelligence. Building the Future.

TashIT builds AI, software and automation, from customer portals to monitored production lines, and judges the work by the cost, delay or waste it removes.

  • Outcome firstWe start from a number you want to move.
  • Paid pilotJudged on success measures agreed in writing.
  • Existing systemsWe integrate with your ERP, PLCs and data.
  • Private by designIn-country or on-premises when data must stay.

Technology

Technology we work with

Tools and standards we design for and build with. We choose them for each problem and deploy in the cloud, in-country or on your premises.
  • AI & machine learning

    • Python
    • PyTorch
    • scikit-learn
    • XGBoost
    • OpenCV
    • ONNX Runtime
    • Hugging Face Transformers
    • Open-weight LLMs
    • pgvector
    • MLflow
  • Software & cloud

    • TypeScript
    • Node.js
    • .NET and C#
    • Java and Spring Boot
    • Kafka
    • RabbitMQ
    • Docker
    • Kubernetes
    • Terraform
    • Azure, AWS and GCP
    • In-country hosting
  • Web & mobile

    • Next.js
    • React
    • Tailwind CSS
    • React Native
    • Flutter
    • Swift
    • Kotlin
    • Headless CMS
  • Industrial & IoT

    • OPC UA
    • Modbus
    • MQTT
    • Node-RED
    • Edge gateways
    • NVIDIA Jetson
    • ROS 2
    • ISA-95
    • EtherCAT
  • Data & analytics

    • PostgreSQL
    • SQL Server
    • Redis
    • TimescaleDB
    • InfluxDB
    • Power BI
    • Grafana
    • Metabase

How we work

Prove it small, then scale what works

Operational and AI engagements follow the same discipline: understand the operation, measure the problem, prove the fix on a paid pilot, then roll it out.
  1. Paid diagnostic

    Understand the operation

    We spend time with the people who run the process and map its systems, data and constraints before proposing anything.

  2. Baseline agreed

    Find the measurable problem

    We pick one problem with a clear cost, record its baseline and agree what improvement would be worth paying for.

  3. Typically 8–16 weeks

    Paid pilot with agreed success measures

    A focused pilot, typically 8 to 16 weeks, judged against success measures agreed in writing before work starts.

  4. Fixed-scope rollout

    Scale and integrate

    If the pilot meets its measures, we harden it, extend it to more lines or sites and connect it to your ERP and plant systems.

  5. Managed service

    Operate and improve

    We monitor, retrain and support what we deliver, so the results hold as your operation and data change.

Why TashIT

Practical technology, accountable delivery

Four principles shape every engagement, from the first conversation to a system running in production.
  • Headquartered in PakistanOur home and first commercial market.
  • Working internationallyIncluding the GCC. Software and data work runs remotely; site work is planned where needed.
  • English-firstSpecifications, handover and training written in plain English.
  • Sell outcomes, not technology

  • Build on existing systems

  • Prove it before you scale it

  • Security and data residency by design

Engagement models

Three ways to work with us

Start with the level of commitment that fits your budget and risk. Each model is designed to lead to the next once results are proven.
Discuss your project
  1. Start here

    Diagnostic and paid pilot

    For a new problem or a technology you have not used before. Confirm the problem, then prove the result on your data in a proof of concept before you scale.

    What's included
    • A short paid diagnostic first, typically 1–3 weeks
    • Then a paid pilot, typically 8–16 weeks, with a fixed fee and agreed scope
    • Baseline and success measures agreed in writing
    • Clear decision point: scale, adjust or stop
  2. Defined scope

    Fixed-scope project

    For a defined system: an application, a portal, an integration or a plant installation.

    What's included
    • Agreed specification and milestones
    • Acceptance criteria set before build starts
    • Documentation and handover to your team
    • Change control for any change in scope
  3. After go-live

    Retainer or managed service

    For systems that must keep running and improving after go-live.

    What's included
    • Monitoring, support and maintenance
    • Model retraining and performance reviews
    • Planned enhancements on a monthly agreement
    • Agreed service levels

Insights

Practical notes on AI, software and engineering

Plain-language guidance on applying technology to real operations: what works, what it costs and what data it needs.
All insights

FAQ

Questions about working with TashIT

Straight answers on what we do, where we work and how an engagement starts.

Another question?

info@tashit.com
Contact us
What does TashIT do?

TashIT is an AI, software and intelligent engineering company. We design, build and integrate custom AI and machine learning, enterprise software, web and mobile applications, business process automation, industrial automation and robotics, to solve real operational and business problems.

Where is TashIT based, and do you work outside Pakistan?

TashIT is headquartered in Pakistan, our first commercial market, and works with clients internationally, including the GCC. Software and data work runs remotely; installation and commissioning are planned on site where the work needs it.

What happens after we get in touch?

Write to info@tashit.com or use the contact form. A person reads every enquiry and replies by email, with any questions we need answered first. A 30-45 minute discovery call then covers the problem, the systems and data involved and what a good result would look like. After that you receive a short written proposal for a paid diagnostic or pilot, with scope, timeline, success measures and cost.

Who owns the code and models you build for us?

Ownership is agreed in the contract before work starts. A common arrangement is that you own the source code, trained model weights and documentation produced for you, while open-source libraries and third-party components keep their own licences. Handover is planned from the start, so your team can take over or keep us on a support retainer.

Do we need to replace our existing systems?

No. We connect through the interfaces they already offer. ERP and accounting systems are reached through their supported APIs or database connectors. Plant equipment is normally read through OPC UA, Modbus or historian interfaces in read-only mode, and control logic is never changed without your engineers' approval. Older machines can usually be monitored with retrofit sensors and edge gateways, without modifying the machine.

Do we need a large dataset before we start?

Not always. Many forecasting models can start from one to two years of transaction history, and a first vision model can often be trained on a few hundred labelled examples per defect type, then improved. The diagnostic checks your data and tells you what is realistic before you commit to a pilot.

Can AI run privately, with our data kept in-country?

Yes. Open-weight models can run on your own hardware, in a private cloud tenancy or with an in-country hosting provider. Assistants are grounded in your approved sources and show citations, their actions are limited to defined tools, and high-risk actions need human approval, with every interaction logged for review.

Which industries and businesses do you work with?

Manufacturing, food and agribusiness, energy and utilities, retail and distribution, healthcare, financial services and insurance, logistics and fuel, and the public sector. We also build websites, mobile apps, customer portals and process automation for startups, SMEs and growing businesses.

Have an operational problem worth solving?

Tell us what you are trying to improve. We will come back with a practical first step, what it would take and which technology is worth using.