Muhammad Haseeb
Founder & CEO
14+ years in software engineering, with a strong background in architecture. Works on agentic AI systems and retrieval-augmented generation, and leads the architecture on every engagement.
TechnoMeta builds AI tools on Google Cloud for organisations with slow databases, paper archives and repetitive data entry. Each one starts with a fixed-price pilot.
Your systems → TechnoMeta → result
Query Advisor
Ranked fixes, with the reasons
Archive Search
Searchable in plain words
Workflow Agents
Entered once, approved by a person
For IT and DBA teams
Your Oracle, SQL Server or MySQL system has become slow.
See Query AdvisorFor records teams
Years of records are on paper, and finding one takes hours.
See Archive SearchFor operations teams
Your finance and operations staff type the same data twice.
See Workflow AgentsThree stages, the same for every product. Each has a fixed scope, a written output, and a point where you can stop. Targets are agreed per client, in writing, before the pilot starts.
Stage 1
Fixed scope and price
We look at the one system the product is for and write an assessment: architecture, data-handling plan, pilot scope, and the numbers the pilot will be judged on. You can stop here and keep it.
Stop here and keep the assessment.
Stage 2
One product, your data
One product, one workflow, your real data, in an isolated Google Cloud project. We build the evaluation set from your real questions and documents and report against the numbers agreed in Discovery.
Fixed price, agreed in writing before it starts.
Stage 3
Rollout and handover
Rollout to the users who need it, access rules mapped from your directory, monitoring and an audit trail, training for the people who approve. Then a support agreement with named contacts.
Named contacts for support after handover.
Based in Islamabad. Enterprise software, digitisation and language models, in the same room.
Founder & CEO
14+ years in software engineering, with a strong background in architecture. Works on agentic AI systems and retrieval-augmented generation, and leads the architecture on every engagement.
Digitisation Expert
Specialises in moving organisations from file-based systems to digital assets, and in the automation that follows. Leads the digitisation side of each engagement, from the sample pages in Discovery to the archive in production.
AI Engineer
Builds LLM-based systems: retrieval pipelines, agent workflows, prompt design and evaluation. Owns the evaluation sets that every release is measured against.
A fixed price and a fixed scope, agreed in writing at the end of Discovery once we have seen the system and the data. Discovery itself is short and fixed-price. You can stop after either stage and keep the written outputs.
No. Each product runs in a Google Cloud project we operate for you, or inside your own Google Cloud organisation if you prefer to own the project and the billing. On your side you need somewhere to run a small connector and outbound HTTPS.
Gemini models on Vertex AI. Google Cloud's published data-use terms for Vertex AI do not allow Google to train its models on your prompts or documents without your permission, and we do not give that permission. We do not train on client data either.
The model behind a task can change as models improve. The evaluation set tells us whether the change is better, and you are told when it happens.
Yes. TechnoMeta is a sole proprietorship, FBR-registered for income and sales tax since 2020, and certified by the Pakistan Software Export Board. Its principal activity on record is computer software services.
A slow database, an archive on paper, or work that is still typed by hand: name the one that fits and say a little about the system. That is enough for a first conversation. Leave an email address or phone number in the reply-to field if you want an answer.
Innovation through Imagination