Products

What we're building.

Three efforts at different stages — one ready for its first partner, one in development, and one taking shape. We'd rather tell you exactly where each stands than dress them up.

For universities

Evora

An academic insight engine for universities.

Evora turns a student's academic record into a clear, private report — GPA trends, progress, strengths, and where to focus next — running entirely inside the university's own system.

It reads a student's existing academic data — grades, attendance, fees, credit progress — and presents it as a single, coherent report. No chatbot, no external AI, no data leaving the network. It's designed to live inside a university's student portal as a natural extension of what students already use.

Runs fully inside your network No external AI services Undergraduate to PhD
Evora GPA trend chart showing semester-by-semester movement with peak and lowest points. Sample data. GPA trend across semesters · sample data
Evora grades and marks detail, showing each semester's courses and grade composition. Sample data. Grades & marks detail · sample data
Evora degree progress showing completed credit hours, strengths and focus areas. Sample data. Degree progress & focus areas · sample data

What Evora shows a student

Academic Health Score

A single 0–100 snapshot built from CGPA, attendance, and fee status — with an honest "not enough data yet" state for new students.

GPA Trend Analysis

A semester-by-semester journey showing rises and falls, peak and lowest points, and overall direction at a glance.

Degree Progress

How far a student has come toward completing their programme, adapted correctly for undergraduate, master's, and PhD structures.

Grades & Marks Detail

Every semester and course, with the exact composition of each grade — mid-term, final, sessional — shown transparently.

Strengths & Focus Areas

Surfaces where a student is excelling and where attention would help most.

Attendance Insight

Flags courses below the required threshold and shows what's needed to recover.

Personalised Guidance

State-aware next steps that adapt to each student's situation, from first semester through to graduation.

Downloadable Report

A clean, print-ready PDF students can keep or share with an advisor.

The principles behind it

Private by design.Evora runs fully offline, inside the institution's own network. No student data is ever sent to external servers or third-party AI services.
Built for every student.From a first-semester student to a graduating PhD researcher, Evora adapts its analysis and language to each academic stage — accurately and respectfully.
Honest by principle.Evora reports what the data shows. It doesn't inflate, guess, or replace human judgment — it gives students and advisors a clearer view.
Ready for its first campus

Evora is built and ready for its first university partnership, and we're in conversation about bringing it to a first campus as an integrated portal feature. We make no deployment or usage claims until there are some. If your institution is interested in a private, in-house academic insight tool, we'd welcome a conversation.

Enquire about Evora

In development · built for a specific partner

Lexara

Lexara is being built as a dedicated AI research layer for one Pakistani legal-research platform — not a generic tool we license out to any firm that asks. It starts where the questions are most common and the stakes are personal: inheritance and succession law.

Under the hood it matches the terms in a lawyer's question against a structured database of statute and case law, weighting the fields that matter most and expanding synonyms as it goes — including Roman Urdu legal vocabulary, so that wirasat and inheritance reach the same provisions. An AI layer then explains why each result matters, held to what the retrieved text actually says rather than what the model might infer. This is term-based retrieval, not embedding-based semantic search, and we'd rather say so than dress it up.

It's still in active development, so the interface stays under wraps until the design is genuinely ready — no mock screenshots, no accuracy claims we haven't measured.

Weighted term matching over statute and case law Synonym expansion incl. Roman Urdu legal terms Explanations grounded in the retrieved text
In development Enquire about a similar build →

Taking shape

AI Agents

General-purpose agents for businesses and organisations — software that can take on a defined job end to end, from answering to acting. This is the direction the studio is heading: a lineup you'll be able to commission and deploy for your own workflows.

We're honest about where this stands: we're building the first of these now. As each one is ready, we'll list it here plainly — what it does, what it doesn't, and what it costs. No catalogue of things that don't exist yet.

If you need an agent before that lineup exists, we build custom ones now, against your own systems and data. That's a conversation worth having.

Taking shape Enquire about a custom agent →

Questions

A few things people ask.

Is Evora deployed at a university yet?

Not yet. Evora is built and working, and ready for its first university partnership. We're currently in conversation about bringing it to a first campus as an integrated portal feature. We don't claim deployments or user numbers until they exist.

Does Evora send student data to an external AI service?

No. Evora runs entirely inside the institution's own network. No student data is sent to external servers or third-party AI services. This is a design constraint, not a configuration option.

Is Evora a chatbot?

No. Evora is a report tool, not a conversational assistant. It reads a student's existing academic record and presents it as a single structured report — trends, progress, strengths, and suggested focus areas.

How does Lexara actually find relevant law?

It matches the terms in your query against a structured database of statute and case law, weighting different fields and expanding synonyms — including Roman Urdu legal vocabulary, so wirasat and inheritance reach the same provisions. An AI layer then explains why each result matters, constrained to what the retrieved text says. It's term-based retrieval, not embedding-based semantic search.

Does ZIRA Technologies work with organisations outside Pakistan?

Yes. We're based in Quetta, Pakistan, and work remotely. We're open to projects from organisations anywhere, and the work is delivered the same way regardless of where the client is.

How does ZIRA Technologies price a custom AI agent?

Pricing depends on scope and complexity. Tell us the problem through the contact page and we'll respond with an honest estimate rather than a fixed public rate.

Not sure which fits?

Tell us the problem in your own words. We'll point you to the right thing — or tell you honestly if it's not us.

Start a conversation