About Us
Kotte Murali Krishna
Chief Executive Officer (CEO)
Chartered Accountant
Don’t Be a Victim: Eagle Eye View Helps Investors Make Informed Decisions
Eagle Eye View is an AI-driven financial analysis platform focused on uncovering the reality behind corporate financial practices, regulatory gaps, and investment risks. Led by Kotte Murali Krishna, a Chartered Accountant with over 30 years of experience, the platform combines deep domain expertise with a critical, independent approach to financial analysis—challenging misleading disclosures and advocating for investor accountability.
With a sharp focus on transparency, accountability, and investor protection, Eagle Eye View examines critical issues within the financial ecosystem—ranging from corporate governance and capital market practices to banking exposures and regulatory gaps. The platform aims to bridge the information gap for investors, stakeholders, and policymakers by presenting complex financial matters in a clear and analytical manner.
Backed by professional expertise in financial analysis, Eagle Eye View emphasizes:
- Independent and evidence-based insights
- Critical evaluation of financial disclosures and corporate conduct
- Awareness on risks impacting investors and stakeholders
- Advocacy for stronger regulatory and governance standards
Through research-driven content, articles, and analytical presentations, Eagle Eye View seeks to empower investors to make informed decisions and encourage a more transparent and responsible financial environment.
We Stand For?
- “Unmasking Corporate Deception. Demanding Accountability.”
- “Exposing Financial Reality. Challenging Regulatory Failure.”
- “Where Financial Truth Confronts Regulatory Silence.”
- “Unmasking Corporate Deception. Demanding Accountability.”
- “No Spin. No Silence. Just Financial Truth.”
- “Holding Corporates Accountable. Questioning Regulators Relentlessly.”
- “Because Investors Deserve Truth, Not Manipulation.”
- “Breaking Down Balance Sheets. Calling Out Systemic Failures.”
- “Turning Financial Data into Investor Awareness—and Action.”
- “Exposing What Financial Statements Don’t Tell You.”
- “Challenging the System. Protecting the Investor.”
- “No investor should invest in a wrong company.”
ABOUT COMPANY:
| S. N0 | Description | Details |
| 1 | Name | EIEVU Financial Analisers Private Ltd |
| 2 | Regd. Office | D No: 6-3-650, Flat No: 210, Maheswari
Chambers, Somajiguda, Hyderabad-82 |
| 3 | Admin Office | D.No.5,7-1-455/2&3/5&7,301.
Mahendra Residency, Mytrivanam, Ameerpet, Hyderabad-16 |
| 4 | Contact Details | Ph. No- 9246374248
7330752221 E-mailId-muralikrishnakotte@yahoo.in Website- https://eagleeyeview.ai/ |
| 5 | Promoters | i) CA Kotte Murali Krishna
ii) CA Yaramosu Hanumantha Rao iii)Mareedu Rambabu , Managing Director of Raamson Softech Private Ltd. |
| 6 | Board of Directors | i) Kotte Murali Krishna
ii) Mareedu Rambabu |
| 7 | Board of Advisors | 1.CA Mr. Venkata Suresh
2. CA Mrs Vijaya Bharati |
| 8 | Proposed Activity of the company | Preparation and providing research reports of Financial Analysis of listed companies’ financial statements. No recommendations as to buy or sell. |
| 9 |
Corporate Identity Number |
U70200TS2023PTC172425 |
| 10 |
SEBI Registration ID |
INH000015154 |
| 11 | QR Code |
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AI Tools
AI Tools for Eagleeyeview
1. Data Collection & Preprocessing Tools
AI services begin with large-scale data extraction from structured and unstructured sources:
- Web Scraping Tools: Selenium, iTEXT-PDF
→ Used to collect financial news, analyst reports, and company announcements. - PDF/Text Parsers: iTEXT-PDF Adobe PDF Extract
→ Used to extract tables and text from annual reports, audit documents, etc. - OCR Tools: Tesseract
→ For scanned documents like signed financial statements. - ETL Pipelines: Jenkins
→ Used for ingestion, transformation, and loading of diverse data types.
2. Natural Language Processing (NLP) Algorithms
Used for analyzing unstructured data like reports, earnings call transcripts, and data.
- Named Entity Recognition (NER):
→ To detect company names, financial events, management changes, etc. - Sentiment Analysis:
→ Proprietary logic for identifying positive/negative outlooks in news or earnings calls. - Text Summarization: iTEXT-PDF
→ To create executive summaries of long reports.
3. Machine Learning Models for Scoring & Classification
Used to assess company health or categorize risk/performance.
- Random Forests / Gradient Boosted Trees : LightGBM:
→ Used to build models predicting financial distress, stock rating, or scores. - Clustering (K-Means, DBSCAN):
→ For grouping companies with similar risk or performance patterns. - Anomaly Detection Models: Isolation Forests, One-Class SVM
→ To flag sudden changes in balance sheets or market behavior.
