Legal Entity and Ownership
The operating entity, ownership structure and headquarters.
VERIFIABLE TRUST
Do Not Take the Claim on Faith. Check the Status Behind It.
Crucifer distinguishes what is operating, what is being prepared, what is in development and what remains planned. Evidence, permissions and formal status take precedence over promotional language.
What We Make Inspectable
Regulatory Status
Applicable training permits and the scope in which they are represented.
Leadership
Named leaders, relevant operating experience and accountable roles.
Learning Method
How teaching, practice, teach-back, assessment and progression are intended to work.
Programs and Awards
Current program status, final award titles and accreditation only when approved.
Fees, Scholarships and Finance
Published tuition, waiver rules, statutory charges and independent lender conditions before enrolment.
Employer and Advisor Relationships
Organizations and individuals displayed only with the required agreement and authorization.
Outcomes
Verified cohort, assessment, interview, offer and joining data only after it exists and can be responsibly contextualized.
Verified Current Status
| Area | Description of the Action / Task / Event | Public Status |
|---|---|---|
| Corporate Foundation | Crucifer AI Technologies Global L.L.C. established in Dubai as the operating company, wholly owned and funded by Crucifer Investments LLC. | COMPLETED |
| Dubai Headquarters | Dubai established as Crucifer’s Global Headquarters and the home of Crucifer Academy. | COMPLETED |
| KHDA Training Permit | Crucifer Academy established as a KHDA-permitted training institution in Dubai under Permit No. 633728. | COMPLETED |
| Crucifer Academy — First Cohort | Preparing the academic delivery, faculty, technology, teaching studios, admissions and student-support infrastructure required for the first Academy cohort. | IN PROGRESS |
| Four Specialist AI Programs | Developing four specialist pathways: AI Data Engineering & Vector Systems; Agentic AI Engineering; Edge AI & Applied Robotics; and Enterprise AI Deployment, MLOps & Governance. | IN PROGRESS |
| Crucifer Learning Method | The Academy’s mastery model has been defined around Learn, Apply, Teach, Build, Specialize, Deepen and Prove, with remediation before progression where the required competency standard has not yet been met. | COMPLETED |
| 80/20 Curriculum Model | Structuring an 80% common mastery core around industry-relevant generic AI capability, informed by the WITT Advisory Council, with the remaining 20% selected through learning credits from optional, employer-informed or company-specific learning. | IN PROGRESS |
| 30% Learning-Time Reserve | Building course timetables with a 30% learning-time reserve beyond the base duration recommended by course designers to protect time for questions, alternative explanations, reinforcement, additional practice, remediation and consolidation. | IN PROGRESS |
| Course Content Development | Faculty and content-development teams are creating detailed curricula, teaching assets, practical exercises, case studies, assessments and supporting learning material across the four programs. | IN PROGRESS |
| QAD Quality Assurance / Accreditation | Preparing the four Academy programs for the appropriate Dubai QAD quality-assurance or accreditation pathway, including program review, documentation and submission preparation. No QAD accreditation will be represented until formally awarded. | IN PROGRESS |
| Academic, Assessment & Certification Relationships | Evaluating appropriate awarding, assessment, accreditation and technology relationships that can strengthen the Academy. Organizations will be announced only after formal confirmation and approved public representation. | IN PROGRESS |
| Faculty & Academic Team | Building the faculty, learning-design, content, assessment and academic-support teams required for first-cohort delivery. | IN PROGRESS |
| Live Teaching & Recording Studios | Designing and implementing Academy-controlled teaching and recording infrastructure using professional broadcast systems, AI-enabled smartboards and practical-screen delivery capabilities. | IN PROGRESS |
| Academy Learning Platform | Designing the digital learning experience required for live instruction, practical execution, learner interaction, assessment, progress visibility and student support. | IN PROGRESS |
| AI Teach-Back Laboratory | Developing the interactive AI environment in which learners explain concepts to an AI learner that asks questions, expresses confusion and challenges incomplete reasoning to help expose gaps in understanding. | IN PROGRESS |
| Crucifer Learning Agility Assessment | Developing the Academy admissions assessment covering comprehension and application, strategic reasoning and focus, working memory and persistence. Final methodology and any psychometric claims will be published only after appropriate validation. | IN PROGRESS |
| Assessment Security & Academic Standards | Designing dynamic assessment assembly, practical evidence requirements, controlled milestones, identity verification, invigilation, faculty review, remediation and progression standards. | IN PROGRESS |
| Merit Scholarship Framework | Academy-funded scholarship structure established to automatically consider successful assessment candidates for merit-based tuition-fee waivers. Intake-specific operating rules are being finalized. | IN PROGRESS |
| First-Cohort Admissions | Preparing eligibility requirements, assessment opening, tuition, scholarships, intake schedules, delivery markets, onboarding and the formal admission process before the first cohort is opened. | IN PROGRESS |
| Student Support Model | The student-support model has been designed around a named Program Manager, defined response and escalation pathways and continuous non-academic support through approved Learning & Student Success Partners. | COMPLETED |
| Learning & Student Success Partners | Identifying and evaluating regional organizations to manage approved local admission administration, fee collection, compliance, onboarding and continuous non-academic student support. | IN PROGRESS |
| Student Finance | Evaluating tuition-financing availability through banks and regulated finance providers in selected launch markets. Approval, pricing, interest and credit decisions will remain entirely with the lender. | IN PROGRESS |
| WITT — Where Is The Talent? | Crucifer Academy’s employer-engagement framework has been established to connect real industry capability requirements with academically governed learning and structured graduate opportunity pathways. | COMPLETED |
| WITT Advisory Council | Building the founding Advisory Council of experienced industry practitioners to provide independent input on emerging skills, curriculum relevance and practical learning-to-work pathways. | IN PROGRESS |
| WITT Curriculum Input | Establishing the process through which Advisory Council members and participating employers can provide generic or approved organization-specific learning input while Crucifer retains academic independence and responsibility. | IN PROGRESS |
| WITT Employer Network | Engaging organizations to formalize curriculum and/or graduate-evaluation pathways through WITT. Employer names and logos will be published only after the applicable agreement, approved public wording and logo-use authorization are in place. | IN PROGRESS |
| WITT Talent Access | Building the structured process through which eligible, interested and consenting Academy graduates can be introduced to participating employers for relevant evaluation and interview opportunities. | IN PROGRESS |
| Recruitment Operations Partners | Identifying specialist recruitment partners to coordinate approved WITT opportunity briefings, interviews, feedback, offers and joining journeys after successful Academy completion. | IN PROGRESS |
| Zero-Placement-Fee Model | The WITT operating model has been structured so participating employers and Academy graduates do not pay placement fees. Approved recruitment coordination is funded by Crucifer Academy. | COMPLETED |
| Crucifer Open Learning — Concepts in 20 | Developing a public library of approximately 20-minute faculty-led learning sessions covering mathematics, data, artificial intelligence, engineering and responsible AI. | IN PROGRESS |
| Open Learning Production | Preparing the first faculty-led sessions together with transcripts, chapter markers, written summaries, key terms and practice prompts for progressive public release. | IN PROGRESS |
| Corporate Website & Digital Presence | Developing the Academy-first public website, navigation, content experience, trust framework, technical architecture and secure public enquiry journeys for launch. | IN PROGRESS |
| Privacy, Responsible AI & Learner Data | Public principles covering privacy, learner-data use, responsible AI, human academic accountability, accessibility, complaints and the Academy-to-PAWS data boundary have been drafted and are progressing through operational and legal review. | IN PROGRESS |
| India Global Development Centre — Bengaluru | Establishing Crucifer’s India Global Development Centre to support technology development, data science, Academy platforms, operations and future Crucifer R&D. | IN PROGRESS |
| Crucifer AI Technologies Private Limited — India | The proposed name Crucifer AI Technologies Private Limited has been approved for registration by India’s Ministry of Corporate Affairs. The remaining company-incorporation process is being completed before the entity enters into operating contracts in its own name. | IN PROGRESS |
| India GDC Leadership | The Head of the India Global Development Centre has been hired and is scheduled to join on 1 October 2026. | START SOON |
| Bengaluru GDC Office — Embassy Square | Office premises have been selected at Embassy Square, Bengaluru. The deposit has been funded, with execution of the company rental agreement awaiting completion of the India incorporation process. | IN PROGRESS |
| India GDC Workplace Build-Out | Interior and workplace implementation has commenced for the Bengaluru GDC, including development workspaces, meeting facilities, leadership cabins and a dedicated recording/studio environment. | IN PROGRESS |
| India Technology Team Build-Out | Recruitment and onboarding of engineering, data-science and technology resources will scale around the GDC leadership and workplace launch. | START SOON |
| International Academy Expansion | Evaluating priority countries for demand, regulatory requirements, affordability, financing availability, local partnerships and phased go-to-market readiness. | IN PROGRESS |
| PAWS — Knowledge Infrastructure | Researching and architecting Primal Automated Wisdom Source, the planned human-reviewed multimodal knowledge platform intended to transform approved source knowledge into structured curricula, explanations, assessments and multilingual learning assets. | IN PROGRESS |
| PAWS Research & Development | Preparing the research program, technical architecture, governance model and development foundation for PAWS, informed over time by approved Academy learning assets and appropriately governed learning insight. | IN PROGRESS |
| RAISE — Enterprise AI Practice | Preparing for a future enterprise AI engineering practice that combines experienced technical practitioners with selected, proven Academy talent after the Academy’s first cohort establishes the required capability foundation. | START SOON — POST FIRST COHORT |
| RAISE Operating Method | The planned enterprise methodology has been defined around workflow discovery, baseline measurement, feasibility validation, value targets, controlled implementation, enterprise ownership and ongoing monitoring. | COMPLETED |
Claim Discipline
No Speculative Logos
A company logo is displayed only after the relevant relationship and logo-use authorization are in place.
No Implied Endorsement
An advisor's employer and title are biographical context, not evidence of corporate sponsorship or hiring commitment.
No Unapproved Accreditation
Accrediting bodies, awarding organizations and certification partners are named only after formal approval.
No Employment Guarantee
WITT may create structured pathways; each employer retains independent selection and hiring control.
No Hidden Partner Fee
Students and employers are not charged a separate Learning Partner or Recruitment Operations Partner fee.
No Invented Outcomes
Pre-launch pages do not use staged testimonials, fictional graduate stories or unverified placement statistics.
TRUST PRINCIPLE: The absence of an announcement is preferable to a claim that cannot yet be proved.