Products we're building ourselves.

Four efforts at different stages. Each one is described exactly where it stands, with no usage figures we haven't measured.

Ready for its first campus

Evora

An academic insight engine for universities. It is not a chatbot.

Evora turns the academic data a university already holds (grades, attendance, fees, credit progress) into a private report for each student. It runs entirely inside the university's own network and uses no external AI services, so student records never leave campus.

Academic Health Score

A 0 to 100 score with the reasons behind it, calculated in code.

GPA trend and degree progress

Where a student is heading, and what's left to complete.

Strengths and focus areas

Grade details turned into specific, personal guidance.

Attendance alerts and PDF report

Early warnings, and a downloadable report for each student.

Status: built and ready for a first university partnership. We're in conversation about a first campus; nothing is deployed yet.

In development

Lexara

AI legal research for Pakistani law, starting with inheritance and succession.

Lexara finds statute and case law with weighted term matching, expanded with legal synonyms including Roman Urdu terms. An AI layer then explains the results, based only on the text it retrieved. It is term-based retrieval, not embedding-based semantic search, and we say so because the difference matters to lawyers.

Status: in development. We aren't publishing interface screenshots or accuracy figures until they can be measured properly.

Launching 25 October 2026

Vera

A WhatsApp assistant for student societies and organisations.

Vera answers questions in English, Urdu and Roman Urdu on the official WhatsApp Business Platform. Exact details come from data the organisation manages in a Google Sheet; open questions get AI replies checked in code against approved facts; and a person takes over when needed. One tested engine runs every deployment, and each organisation is a single configuration file.

Read the BUITEMS IT Society case study

Taking shape

Business agents

A lineup of ready-made agents for common business workflows. The first is in progress. Until the lineup exists, we build agents to order against each client's own systems and data, as described on the AI agents page.

Questions about the products

Is Evora deployed at a university yet?

No. It's built and ready for a first university partnership, and we're in conversation about a first campus.

Does Evora send student data outside the university?

No. It runs entirely inside the university's network with no external AI services.

Is Evora a chatbot?

No. It produces structured reports from records, with every number calculated in code.

How does Lexara find the law?

Weighted term matching over statute and case law, with synonym expansion including Roman Urdu legal terms. The AI layer explains only what was retrieved.

How are custom agents priced?

By scope. After a first conversation we send a written estimate and a fixed price.

Interested in Evora for your institution?

We're looking for a first university partner. Tell us about your campus and what you'd want from it.