ZENOJAS Capital builds machine-learning-driven, absolute-return strategies for Indian public markets — engineered to outperform, disciplined to protect capital.
Category III is the fastest-growing segment of India's ₹15.7 lakh crore alternative-investment industry. In a category where strategy is the product, a repeatable, research-driven process — not balance-sheet scale or deal access — is what wins. That is exactly what ZENOJAS is built to be.
We don't chase a single model. We assemble complementary machine-learning models — each doing what it is best at — and let an ensemble reconcile them, wrapped in a risk overlay that governs every position. The alpha is in our features, labels and risk rules; the discipline is in what happens when the machine is wrong.
Deep sequence models read the structure of the market — long-range dependencies, momentum, regime. Gradient-boosted trees fuse fundamental and factor data into a cross-sectional ranking. A meta-model weights them by prevailing conditions.
Then the part that matters most: an independent risk layer sizes and constrains every position for drawdown control — and can override the models entirely. A model that cannot be overruled is a liability, not an edge.
Every signal is validated with walk-forward, leakage-controlled testing on point-in-time data, net of real trading costs. We build against the ways backtests lie before we ever trade a rupee.
ZENOJAS is designed as a multi-strategy house. We lead with the strategy that best showcases our edge and earns a live track record — then expand, deliberately, off that foundation.
Our ML ensemble expressed as a variable-net long/short strategy, engineered for absolute return with tight risk control.
The same engine in a lower-volatility, benchmark-aware form — a measured on-ramp for conservative allocators.
Private-market strategies to be launched off an established brand and track record — patient capital, the same rigour.
Fund names and structures are indicative and subject to SEBI registration. This is not an offer of, or solicitation to invest in, any scheme. Any scheme is offered only by private placement to eligible investors under its Private Placement Memorandum.
Our differentiation is a genuine, ownable research capability that most equity managers do not have: sequence-model market intelligence, generative scenario modelling drawn from catastrophe-risk science, and model governance rooted in institutional investment discipline.
Transformers, BiLSTM and CNN-RNN hybrids for market structure; XGBoost and random forests for factor fusion — reconciled by a regime-aware meta-model.
GANs and VAEs generate plausible tail and catastrophe scenarios where history is scarce — stress-testing the book and augmenting training beyond a single market sample.
Independent limits, live model-decay monitoring, versioning and change control — the governance an institutional investment background makes second nature.
Zen — a calm, disciplined mind. Ojas — vital core energy. Together they name the balance we run the firm on — aggressive, engineered alpha held under uncompromising risk discipline. Three words carry it: Clarity, Vitality, Returns.
A live, audited track record beats any backtest. We build the record first.
We explain how the machine thinks. The process is transparent; the signals are ours.
We are bought and sold on the worst year, not the average. Capital protection leads.
Founders' capital in the funds, a real hurdle and high-water mark. We win when you do.
A founding team spanning institutional investment management, quantitative research, technology and risk — building the fund they would want to invest in themselves. (Roles below are placeholders — replace with final titles and bios.)
ZENOJAS strategies are offered by private placement to eligible investors only. Register your interest and, if you qualify, we'll share our detailed materials under the appropriate disclosures.
Minimum investment for an AIF is ₹1 crore per SEBI regulation. Nothing on this page is an offer or solicitation, or a guarantee of access or returns.