Curated research-driven recommendation with clear risk / return profiles.
Equity Deep Search
- Focus: High-conviction equity opportunities via deep fundamental + ML screening.
- Risk: High → Medium (adaptive exposure, volatility targeting).
- Expected Return: 15% – 25% annualized (medium-term horizon).
- Edge: Multi-factor (quality / momentum / value) + event & sentiment fusion.
- Data Stack: Corporate filings, alt‑data (news/NLP), ownership flows.
- Process: Idea surfacing → forensic scoring → risk budget allocation.
Designed for investors seeking alpha from under‑covered names while maintaining disciplined downside controls.
Request DetailsBonds & Fixed Income
- Focus: High quality & structured yield instruments (G-Secs, top corporate debt, curated listed bonds).
- Risk: Low → Medium (credit, duration managed by scoring engine).
- Expected Return: 8% – 12.5%+ depending on ladder & tenor mix.
- Edge: Liquidity / credit curve monitoring + early downgrade signals.
- Duration Strategy: Dynamic barbell (short + intermediate) for rate cycle shifts.
- Coverage: Sovereign, PSU, high grade, select high yield screened.
Suitable for capital preservation mandates seeking stable cash flows with intelligent yield enhancement.
Explore BondsExclusive Research
- Focus: Thematic & special situation strategies (spin-offs, distress recovery, regulatory catalysts).
- Risk: Medium → High (position caps + catalyst probability modeling).
- Expected Return: 25% – 35% blended target; idiosyncratic payoff profile.
- Edge: Event graph + cross‑market signal fusion + narrative NLP.
- Theme Domains: Infra, energy transition, financial digitization, defense tech.
- Holding Horizon: 3–12 months per catalyst cycle.
Built for sophisticated investors comfortable with episodic volatility in pursuit of asymmetric outcomes.
Request AccessFor Investors
AI-Powered ML Models for Smarter Investing
All our ML models are carefully evaluated on multiple dimensions, giving investors confidence in both performance and reliability. Whether you invest in equities, sectors, or quantitative strategies, our platform ensures transparency and ease of use.
Connect ML models with your portfolio and manage the most complicated risk management needs with ease. Just plug & play ML models supported by clear evaluation scores across: Risk & Return, Data Quality, Model Logic, Code Quality, Testing & Validation, and Governance & Compliance.
Equity ML Models
Focus on individual stocks & indices. Surfaces trading opportunities, fair value gaps, and portfolio risk insights for both active traders and long-horizon investors.
Evaluation Parameters
- Risk & Return: Clear view of potential gains vs. volatility.
- Data Quality: Clean, bias‑reduced financial + market feeds.
- Model Logic: Transparent momentum, valuation & factor blend.
- Code Quality: Reproducible, modular, version‑controlled.
- Testing & Validation: Backtests include slippage & costs.
- Governance & Compliance: SEBI-aligned & auditable.
Sector ML Models
Analyzes Banking, Pharma, IT, Manufacturing & more. Detects cyclical turns, macro linkages, and relative strength to guide allocation shifts.
Evaluation Parameters
- Risk & Return: Sector volatility vs. sustainable growth.
- Data Quality: Macro, industry output & corporate series.
- Model Logic: Leading & lagging cycle indicators.
- Code Quality: Modular for rapid parameter updates.
- Testing & Validation: Stress across bull / bear / sideways regimes.
- Governance & Compliance: No black‑box outputs; full traceability.
Quant ML Models
Advanced quantitative factor, statistical arbitrage & optimization frameworks engineered for consistent, risk‑adjusted alpha.
Evaluation Parameters
- Risk & Return: Sharpe, Sortino, Max Drawdown tracked.
- Data Quality: Multi‑asset (equities, derivatives, FX).
- Model Logic: Econometric + ML ensemble robustness.
- Code Quality: Efficient & low‑latency execution ready.
- Testing & Validation: Walk‑forward & out‑of‑sample verified.
- Governance & Compliance: Quant research ethics aligned.
Our Partners & Accelerators
Advisory Board & Mentors
-
Mr. Alok Bansal Co-Founder & Vice Chairman PB Fintech (policybazaar) -
Mr. Ajay Kumar Surana Ex Director Moody's Analytics -
Mr. Dinesh Arora Ex GM Dena Bank -
Mr. Amit Tygi Associate Director Indian School of Business -
Mr. Sorabh Agarwal Co Founder AngelBay Ex Crisil AVP -
Mr. Aditya Arora CEO CEO FAAD Network Private Limited
Our Team
Our Leadership Team
Subir Singh
Founder & CEO
Financial Market Professional, IIT Kanpur Fellowship holder, and Innovator of Portfolio Risk mitigation technology using AI and Tokenization under TIDE 2.0 EIR Meity Govt of India
14+ years in equity, derivatives, currency, portfolio management, and financial instruments. Over 6+ years of coding experience with proficiency in PHP, jQuery, MySQL Database, R programming language, ARIMA, ARMA, ANN, CNN, RNN, LSTM, GARCH, VaR, Monte Carlo methods, Options Greeks, and Currency strategy payoff models. CFA US Candidate. Certified arbitrageur and algo trading operations from BIFM
Sheetal Maurya
Co Founder & Core Team
Ex Assistant Professor of University of Delhi, Ph.D. in Finance, Research Scholar at Department of Commerce Delhi School of Economics. Author of several research papers on finance and econometrics. CFA US Candidate.
8+ years of academic experience, University Gold Medalist in Bachelor of Business Studies. Lifetime member of the Indian Accounting Association.
Arnab Ray
Tech Lead
Creative Full-Stack Developer with 3+ years of expertise in Software Architecture, Testing, Blockchain, and cloud-based backend infrastructure. Proficient in RESTful APIs and Front-End Development.
First-hand expertise in Software Architecture, Testing, Blockchain, and cloud-based backend infrastructure. Mastery in RESTful APIs and Front-End Development.
Dr.h.c. Charles Singh
Blockchain and Tokenomics Evangelist
He is a Regional Director South East Asia EC Counsil,
Charles Singh holds a 2012 - 2015 Doctor of Philosophy in Computer Science, Management, Forensics @ Mahidol University. With a robust skill set that includes Business Analysis, Software as a Service Saas, SaaS, Team Management, Go to Market Strategy and more, Charles Singh contributes valuable insights to the industry.
Tech Team
Louis Baker
Freelancer & Full Stack Developer
IIT Madras BSc
Vast exprerience in AI,ML
Ankan Bhaumik
Tech & Backend Developer
Handling backend development work
Jason Morales
Sr.Backend developer
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Achievements
With help from our teams, contributors and investors these are our achievements
Incubated by SIIC IIT Kanpur incubation program
During BITS Pilani Conquest 2022. In top 11 starts out of 2000+ startups
Presented PredictRAM at Google Asia Pacific HQ in Singapore during the Fintech accelerator program.
Finalist of Empresario 2022 is the annual business model competition organized by Entrepreneurship Cell, IIT Kharagpur
On top 11 out of 2000+ Startups by BITS Pilani Conquest 2022
Winner - Best FinTech DeFi Product by KardiaChain Pioneer contest — Southeast Asia’s Premiere #Blockchain Ecosystem
Selected for IIIT Lucknow accelerator program
Showcase NASSCOM Featured report.
ABOUT PredictRAM
Technology-Enabled Human Expertise
At our company, we believe that the key to success in today's digital world is to leverage the power of computer intelligence for speed and scalability, while also relying on human intelligence for trust and reliability.
We've developed a unique approach that blends these two types of intelligence seamlessly, resulting in a powerful and efficient solution that's unmatched in the industry.
Our cutting-edge technology is designed to work alongside SEBI registered advisors and research analyst, providing powerful insights and data-driven solutions that are faster and more accurate and affordable than ever before.
Why Choose us?
Deep Analysis
Deep data Analysis of Global Economy, Industry & Company Parameters
Individual Risk Analysis
Measures and quantifies the level of financial risk within an individual portfolio
Affordable & Easy to Use
Experience advanced technology. With three easy steps redice your portfolio risk at an affordable cost with us.
Big Data Insights
Deep insights of global markets financial and econpomic events and risk adjustment capabilites under same roof.
How it works?
PredictRAM Feature
Manage your all investments.
Integration feature with all trading and Demat accounts with PredictRAM dashboard can help investors manage their investments effectively, execute trades efficiently.
Very Affordable
The game-changer for investors is the accessibility of high-end AI investing instruments at a very affordable cost.
Personalized and customization
Risk mitigation strategies through customized ETF execution capabilities before the event that help investors make informed decisions about their investments
Easy to use
By following these three easy steps, you can find, manage & mitigate the risk of your portfolio and achieve your long-term financial goals.
Fixed-Income Opportunities
For Individuals, SME's, MSME's & Startups
SLIPS - BONDS
Secured and Liquid Industry Specific Protected Securities
SLIPS 9.5% coupon rate bonds across various industries, with flexible adjustment frequencies and tailored allocations. Their strategy involves thorough industry analysis to recommend sector-specific or unrelated bonds based on outlook, optimizing growths based on investor needs.
Learn more Connect Now
FLIPS - BONDS
Flexible Inflation-Protected Securities
FLIPS offers bonds linked to the CPI, adjusting for inflation to preserve purchasing power and ensure real growths. These bonds provide inflation protection, higher interest rates than traditional bonds, and risk mitigation, with features like quoted yield RFQ facilities and high liquidity
learn more Connect NowECOSYSTEMS
Improved Risk Assessment:
A technology stack can help in the quick and accurate assessment of portfolio risk. The use of data analytics, artificial intelligence (AI), and machine learning (ML) can help in identifying potential risks and analyzing historical data to assess the probability of risks occurring.
Enhanced Decision Making:
A technology stack can help portfolio managers make informed decisions by providing access to real-time data and analytics. This can help in identifying emerging risks and assessing the potential impact on portfolio performance.
Greater Efficiency:
A technology stack can streamline portfolio risk management processes, reducing the need for manual interventions. This can help in reducing costs and improving efficiency, while also minimizing the risk of human error.
Improved Regulatory Compliance:
A technology stack can help in ensuring regulatory compliance by providing accurate and timely reporting. This can help organizations avoid regulatory penalties and fines.
PLATFORM
A Open Platform for our Registered Advisor or B2B enterprise
An AI-powered dashboard can provide many benefits for a registered advisor, including:
White-label ML models: We offer white-label ML models advisors can deploy for better risk management of their clients' portfolios—easy integration, real-time data feeds, and fast results.
Real-time insights: AI-powered dashboards can provide real-time insights into market trends and client portfolios, allowing advisors to make informed decisions quickly.
Time-saving: AI-powered dashboards can save advisors time by automating repetitive tasks, such as data entry and report creation.
Improved client communication: With an AI-powered dashboard, advisors can communicate with their clients more effectively by sharing data-driven insights and recommendations.
Competitive edge: With access to AI-powered insights and recommendations, advisors can gain a competitive edge by offering more advanced and personalized services to their clients.
A Open Platform for our Investors
An AI-powered risk management dashboard can provide many benefits for investors, including:
Real-time risk assessment:An AI-powered dashboard can analyze market data in real-time and provide investors with up-to-date information on the risks associated with their investments.
Customized risk analysis:AI-powered risk management dashboards can analyze each investor's risk tolerance and investment goals, and provide customized risk analysis based on that information
Automated alerts:AI-powered risk management dashboards can provide automated alerts when certain risk thresholds are breached, enabling investors to take timely action to mitigate risk.
Cost savings:AI-powered customized ETF's can help investors optimize their portfolios and potentially reduce investment costs.
Frequently asked questions
What is indiviual risk analysis?
Before investing, it is important to analyze your individual risk appetite to determine what types of investments are appropriate for your financial situation and goals. Risk appetite refers to your willingness to take on risk in pursuit of potential growths. It is influenced by various factors such as financial resources, investment goals, and tolerance for uncertainty.
What are the various events that affect markets?
Economic indicators: Economic indicators such as GDP, inflation, employment data, and interest rates can have a significant impact on the markets.
Corporate earnings: The earnings reports of individual companies can impact their stock prices, as well as the broader market.
Government policies: Changes in government policies, such as tax rates, regulations, or trade agreements, can have a significant impact on specific industries or the broader market.
Geopolitical events: Political events such as elections, wars, and natural disasters can create uncertainty and volatility in the markets.
Central bank decisions: Decisions by central banks, such as changes in interest rates or monetary policy, can impact the markets.
Company news and events: News such as mergers and acquisitions, product launches, or management changes can impact the stock prices of individual companies.
What are Event Specific customized ETFs?
Event-specific customized ETFs can provide investors with a convenient way to participate in specific events without having to research and select individual securities.
Who creating & suggesting these event specific ETFs?
We are using AI,ML technologies to curate all the event specific ETFs suggested by the SEBI registered advisors and research analyst.
Media Says About Us
PredictRAM in Singapore
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Meet The 16 Indian Startups That Caught Our Eye At BITS Pilani’s ‘Conquest’ Accelerator
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Deep learning & quantum‑ready modeling for predictive analytics and advanced risk intelligence.
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