Industries
One engine, five research contexts
Shared builder, timing, and residency. Separate suites for academic labs, education and admissions, consumer insights, UX, and clinical work — open a suite for personas and when to choose it.
Suites
One engine, five research contexts
The builder, the timing engine, and the compliance layer are shared. Education is its own suite — classroom to admissions — beside academic, consumer, UX, and clinical. Open a suite for personas, use cases, and when to choose it.
Academic & Psychological Research
University labs, departments, students
- Timing engine, Experiment Tree, and The Shelf
- Open Materials repository and the full norms library
- Recruitment links, quotas, dialect screening, Prolific/Sona
- CONSORT dashboards, exports, API, IRB/PDPIA kits
Consumer Insights & Behavioral Economics
Market research agencies, CROs, brands
- Shop Builder — simulated Arabic storefronts
- Discrete choice, conjoint, implicit brand association
- Mouse-tracking, hover dwell, choice latency
- Webhook event streams into client analytics
UX & Technology Product Research
In-house UX teams, digital government services
- Social Simulator — mock Arabic feeds
- A/B tests over mock interfaces with RT capture
- Heatmap and mouse-tracking dashboards
- API and webhook integration into product analytics
Education & Assessment
Universities, schools, admissions, EdTech, ministries
- Assessment Mode — 5,000+ concurrent single-use links
- Teaching Tools — classroom cohorts and auto-graded practicals
- Integrity telemetry, psychometric scoring, SIS webhooks
- Institutional SSO, token pools, and audit
Clinical & Health Research
Psychiatrists, psychotherapists, hospital and speech clinics
- Diagnostic & symptom batteries for outpatient care
- Arabic-localized personality inventories with scoring
- Picture-naming / aphasia packs and Shelf tracking
- Regulated profile with single-tenant option
Task examples
Template pack — Arabic-ready from the start
Scroll through the pack. Left rail selects the paradigm; the right stage slides the next trial up from below.
Who it's for
Built around five roles, not one generic user
These are the research roles the platform is designed against — described by their job, since Biruni has no customers to quote yet.
Academic researcher
Precise, multi-session RT studies across diverse MENA participant pools.
- Experiment Tree
- The Shelf
- CONSORT dashboards
- PDPL residency
Graduate student
A thesis study to deploy, limited programming, and a student budget.
- No-code builder
- Forkable templates
- Free pilots
- Student token rate
UX researcher
Usability studies and A/B tests over realistic Arabic interfaces.
- Mock interfaces
- Mouse-tracking
- Webhooks
- Fast iteration
University administrator
Department IT, licensing, compliance exposure, and cost control.
- RBAC
- Token pools
- SSO/SAML
- Audit logs
Assessment director
Timed cognitive aptitude testing for thousands of applicants a season.
- 5,000+ concurrent
- Integrity telemetry
- Auto-scoring
- SIS webhooks
Instructor / education program lead
Classroom practicals, literacy screens, and course cohorts that need Arabic-native timed tasks.
- Teaching token pools
- Student cohorts
- Auto-graded practicals
- Institutional license
Psychiatrist / psychotherapist
Arabic diagnostic screens and personality inventories between client visits, with in-Kingdom data.
- Diagnostic packs
- Personality scoring
- The Shelf
- Regulated profile
Bring your next Arabic study to Biruni
We are building with a small group of MENA labs before general availability. If your work needs accurate timing, real Arabic rendering, and in-Kingdom data residency, we want to hear what your study requires.
- What selected groups get
- A complimentary 12-month Lab license: 5 author seats, 2,500 participant tokens, full norms access.
- Who we're looking for
- Research groups in cognitive psychology, linguistics, neuroscience, and education across Saudi Arabia, the UAE, and Qatar.
- What we ask in return
- Run one real study, publish one paradigm to Open Materials, and tell us candidly where we're wrong.