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For the Alpha Engineer

Hedge Funds

Resiliq is the Quant-powered AI Platform for hedge funds. Uncorrelated alpha lives in illiquid private markets – sparse time series, irregular disclosures, and thin datasets – where conventional public-market tooling breaks down. Validate idiosyncratic theses against structured alternative data. Optimize cross-asset exposures across PE, credit, and real assets. Find and exploit pricing inefficiencies across asset classes before they converge into the markets.

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Challenges We Address

Understand the specific pain points your industry faces and how Resiliq solves them.

Opaque Private Markets

Alpha-generating opportunities hide behind sparse data, irregular disclosures, and illiquid conditions. Public-market data infrastructure doesn't work here.

No Single Portfolio View

PE, VC, credit, and public holdings sit in different systems. Without a unified view, cross-asset risk and allocation decisions are made blind.

The Backtesting Blindspot

Developing and validating proprietary quant strategies for private markets is near-impossible without structured historical data and purpose-built tooling.

How Resiliq Works

Resiliq brings institutional quant infrastructure to illiquid private markets. Structure sparse data into tradeable signals, run autonomous research loops from hypothesis to backtest, and manage cross-asset risk with derivatives pricing calibrated for private-market conditions.

How it Works Image

Steps

1

Unify Your Multi-Asset Portfolio:Aggregate positions across private equity, VC, credit, and public alternatives into a single, holistic dashboard with FX-adjusted performance and real-time risk exposure.

2

Research Private Market Alpha:Use the AI-driven Quant Research Agent to run end-to-end research loops autonomously: hypothesis specification → signal synthesis → model implementation → backtest → analysis.

3

Build & Backtest Systematic Strategies:Access structured historical private market data and an expression-based factor library. Build proprietary alpha factors, train ML models, and backtest on institutional-grade data – or deploy auto-research AI agents to accelerate the path from alpha research to execution.

4

Manage Cross-Asset Risk & Derivatives:Apply advanced risk management tools to model factor, liquidity, and correlation risks across your entire portfolio. Price options, convertibles, and structured instruments with BSM, binomial trees, and Monte Carlo simulation.

Key Features

Cross-Asset Portfolio View

Real-time view of PE, VC, credit, and alternatives in one unified workspace. Performance, risk, and allocation across your entire portfolio – no more spreadsheet stitching.

Private Market Alpha

Proprietary AI and alternative datasets uncover opportunities invisible to conventional screening. Alpha generation purpose-built for opaque, illiquid private markets.

Private Markets Quant Lab

300+ alpha factors and 30+ quant models purpose-built for sparse private market data. Backtest, train ML models, and validate strategies in a secure sandbox. Your IP stays yours.

AI Quant Research Agent

An autonomous agent that runs end-to-end quant research – hypothesis, signal synthesis, model implementation, backtesting, and performance analysis – on your data. Institutional velocity, zero headcount.

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Your questions, answered

Answers to the most frequently asked questions.