Overview
Aveka is a technology infrastructure platform operated by Markingo Portal LLC, a company registered with the Department of Economic Development, Dubai, UAE (License No. 1308533). Aveka uses artificial intelligence (AI) to support but not replace human and institutional decision-making across its three core service lines: student financing facilitation, KYC and identity verification, and mock interview preparation.
This policy explains, in plain language, where AI is used, what it does and does not decide, how AI-assisted outputs are reviewed, and what rights you have in relation to AI-influenced processes. It is addressed to students, universities, lending partners, and any individual whose data is processed through the Aveka platform.
Aveka does not make final lending, credit, or financial decisions. All loan approvals, rejections, interest rates, and disbursement conditions are determined exclusively by regulated financial institution partners. AI tools on the Aveka platform support workflow efficiency they do not underwrite, approve, or decline any financing application.
Where AI Is Used on the Platform
Aveka uses AI and automated logic across three functional areas. Each is described below with clear disclosure of what the AI does, its role (advisory vs. operational), and the human review process that accompanies it.
KYC & Identity Verification
AI tools assist in cross-referencing identity documents, flagging anomalies in academic transcripts, screening against sanctions lists (PEP/AML), and producing a structured verification report. The AI does not issue a pass or fail it produces a risk-scored report reviewed by a human compliance analyst or the university's designated officer before any determination is communicated.
Lender Matching Engine
A rule-based and machine-learning-assisted algorithm matches student applicants to lender products based on nationality, programme of study, fee amount, credit profile signals, and lender eligibility criteria. Lenders configure their own matching rules within the platform. The output is a ranked shortlist of potentially eligible lenders no lender is selected without either platform-configured lender rules or explicit lender review.
Mock Interview Preparation
Aveka's mock interview feature uses a large language model (AI) to conduct simulated university admission or visa interviews. The AI generates interview questions, evaluates responses in real time, and produces a feedback report covering communication clarity, content quality, and areas for improvement. These sessions are conducted entirely by AI there is no human interviewer present. This is disclosed to students before every session begins.
Portfolio Analytics & Risk Alerts
For university and lender dashboards, AI-assisted analytics identify repayment anomalies, flag at-risk cases, and generate cohort-level performance summaries. These are operational intelligence tools for institutional users and do not generate automated actions against individual borrowers without human review.
What AI Decides vs. What Humans Decide
The table below clearly separates AI-assisted functions from decisions that are exclusively made by humans or regulated institutions.
- Ranking lenders by likely eligibility match
- Flagging document anomalies for human review
- Generating interview questions and scoring responses
- Producing KYC risk-score reports
- Automating document collection follow-ups
- Summarising portfolio performance for dashboards
- Identifying potentially at-risk repayment cases
- Loan approval, rejection, or conditional sanction
- Interest rate, tenure, or repayment terms
- Final KYC pass or fail determination
- Student admission or enrolment status
- Visa recommendation or application outcome
- Debt collection or enforcement action
- Disbursement release to university or student
If you believe an AI-assisted output has adversely affected you or produced an incorrect result, you have the right to request human review. See Section 8 Your Rights for how to make this request.
Mock Interviews AI Disclosure
Aveka's mock interview service is designed to help students prepare for university admission interviews and visa interviews. It is a preparation and practice tool only it is not used in any actual admission, visa, or funding decision.
What the AI does
An AI language model conducts the session by asking structured interview questions relevant to the student's course and destination country. The AI evaluates responses based on fluency, relevance, structure, and completeness, and produces a written feedback report at the end of each session.
There are no human interviewers
Mock interview sessions on the Aveka platform are conducted entirely by artificial intelligence. No human interviewer listens to, transcribes, or reviews session content in real time. Students are informed of this before every session via an on-screen disclosure prompt that requires active acknowledgement before the session begins.
How scores and feedback are used
Mock interview scores and feedback reports are shared with the student and, where a university has enabled this feature, with the university's student support team to inform coaching and preparation support. Scores are not shared with lenders, visa authorities, or admission committees. They have no bearing on loan eligibility, approval, or any financial determination.
Limitations of AI interview assessment
AI-based interview evaluation has known limitations. It cannot fully assess cultural nuance, nervousness, or non-verbal communication. Feedback should be treated as indicative guidance, not a definitive assessment of a student's ability or potential. Students are encouraged to supplement AI mock interview practice with human coaching where available.
KYC & Identity Verification
KYC (Know Your Customer) verification on the Aveka platform is conducted in partnership with regulated third-party identity verification providers. These providers use AI-assisted tools to authenticate government-issued documents, perform biometric matching, screen against sanctions and PEP (politically exposed persons) databases, and validate academic and professional credentials.
Who performs verification
Aveka does not conduct KYC in isolation. Verification is performed by or in conjunction with regulated KYC providers whose identity and data processing practices are disclosed in our Privacy Policy. The identity of specific KYC partners used for a given application can be requested from tech@aveka.ai.
What data is used
KYC processes use identity documents (passport, national ID), biometric data (photograph for liveness checking), academic transcripts, and financial supporting documents submitted by the student. Data is transmitted to KYC providers under encrypted, purpose-limited data sharing agreements. Student consent is obtained prior to data submission to any third-party KYC provider.
How outputs are reviewed
AI-generated KYC outputs are reviewed by a human compliance analyst or the university's designated compliance officer before any verification result is communicated. Students have the right to contest a verification outcome see Section 8.
Lender Matching Engine
The Aveka lender matching engine uses rule-based logic and pattern-matching algorithms to rank which partner lenders are most likely to consider a student's financing application eligible, based on criteria configured by the lenders themselves.
How matching works
Lenders configure their own eligibility criteria within the platform including country of origin, programme type, institution, loan amount range, and other credit signals. The platform applies these rules to incoming applications and produces a ranked output of potentially eligible lenders. No lender is contacted on a student's behalf without explicit authorisation from the student or their university.
What the engine does not do
The matching engine does not make credit decisions, assess creditworthiness, access external credit bureau data independently, or guarantee that a matched lender will approve an application. All credit assessment is carried out by the lender under their own regulatory obligations.
Contesting a matching outcome
If a student believes they have been incorrectly excluded from lender matching, they may raise this with their university's Aveka-linked advisor or contact us directly at tech@aveka.ai. Matching logic for a specific application can be reviewed upon request.
Data & AI Model Training
Personal data submitted through the Aveka platform including student identity documents, financial records, interview session recordings or transcripts, and application data is not used to train AI models without explicit, separate, and freely given consent.
Where Aveka uses third-party AI model providers (including large language model APIs) to power features such as mock interviews or document summarisation, data is processed under data processing agreements that restrict the provider from using submitted data for model training purposes.
Anonymised, aggregated, and non-identifiable platform usage data may be used internally to improve matching logic, workflow efficiency, and platform performance. This does not constitute processing of personal data.
Your Rights in Relation to AI
Where AI-assisted processes have influenced an outcome that affects you, you have specific rights under applicable law and under Aveka's own commitments.
Right to explanation. You may request a plain-language explanation of how an AI-assisted process produced a specific output that affected you (e.g., a KYC flag, a lender match shortlist, a mock interview score).
Right to human review. You may request that any AI-assisted determination that has materially affected you be reviewed by a human Aveka compliance analyst or the relevant institutional partner before being acted upon.
Right to contest. You may contest any AI-assisted output you believe is inaccurate, unfair, or based on incorrect data. We will investigate and respond within 14 business days.
Right to withdraw consent. Where AI-assisted processing relies on your consent, you may withdraw consent at any time. This may affect your ability to use certain platform features.
Right to data access. You may request a copy of the data used as input to any AI-assisted process that affected you, subject to legal and third-party confidentiality obligations.
To exercise any of these rights, contact: tech@aveka.ai with the subject line "AI Rights Request [Your Name]".
AI Governance & Accountability
Aveka's AI usage is overseen by its compliance function, currently managed by Mayuree Vinod Pethkar (Head of Legal / Compliance Manager). AI systems deployed on the platform are reviewed periodically for accuracy, fairness, and compliance with applicable regulations including the EU AI Act (where applicable to institutional partners), India's DPDP Act 2023, and UAE data governance frameworks.
This policy will be reviewed and updated at minimum annually, or sooner where material changes are made to AI systems deployed on the platform. The effective date at the top of this page reflects the most recent version.
Complaints relating to AI usage may be submitted to the Grievance Redressal mechanism described at aveka.ai/compliance.
Contact
Questions about AI on the Aveka platform?
Our compliance team is available to respond to queries about AI usage, data processing, or your rights under this policy.
tech@aveka.aiResponse within 7 business days · Operated by Markingo Portal LLC · DED License No. 1308533