AI-native quantitative research / Taipei

Intelligence for what moves beneath the market.

Whale Force builds agentic research systems for systematic investing—turning fragmented evidence into testable hypotheses, simulated worlds, and risk-aware decisions.

Research network activePerception → Simulation → Risk
WHALE-01ADAPTIVE RESEARCH SYSTEMLIVE
PERCEPTION
MEMORY
SIMULATION
RISK

One intelligence. Many coordinated agents.

AI RESEARCH SYSTEMSMARKET-ENGINEERING LINEAGEHUMAN-ACCOUNTABLE RISK

01 / THE INTELLIGENCE LOOP

One intelligence. Many agents.

The objective is not more output. It is a research system that can observe, challenge itself, remember what changed, and make uncertainty usable.

01

Evidence network

Perceive

Agents map fragmented market, company, and ecosystem evidence into an explicit research state.

02

Hypothesis engine

Reason

The system turns observations into testable hypotheses with assumptions that remain visible.

03

Scenario worlds

Simulate

Ideas move through historical regimes, generated scenarios, and repeatable experiments.

04

Risk intelligence

Adapt

Evidence, uncertainty, and human judgment continuously reshape what the system explores next.

AI should not hide the reasoning chain. It should make the research organism more observable.

02 / WHY THE WHALE

Not a mascot. A model for intelligence.

Whales navigate vast, uncertain environments through faint signals, memory, and coordinated communication. That is the design metaphor behind Whale Force: distributed agents operating as one adaptive research system.

Sense
Find signal across distance and noise.
Remember
Carry context across regimes and cycles.
Coordinate
Let specialized intelligence move as one.
Adapt
Change course when the environment changes.

03 / WHAT WE BUILD

The research stack for systematic intelligence.

I

Agentic research network

Specialized agents coordinate retrieval, synthesis, challenge, and review instead of collapsing research into one opaque answer.

Coordinated intelligence
II

Scenario intelligence

Parallel research and simulation compress the path from an idea to a regime-aware view of possible outcomes.

Testable worlds
III

Evidence & risk layer

Every conclusion keeps a visible chain back to evidence, assumptions, uncertainty, and accountable human oversight.

Decisions with memory

04 / MARKET-ENGINEERING LINEAGE

Built with the discipline of markets. Reimagined for AI.

As a VICI Holdings company, Whale Force builds from a culture shaped by quantitative research, automated trading systems, and high-performance engineering.

Our mandate is distinct: create an AI-native research system for a new generation of systematic investment work.

Discover VICI Holdings

05 / WHALE FORCE

Small team. Deep systems.

Quantitative researchers, machine-learning engineers, and software builders working as one research organization in Taipei.

Legal entity
Whale Force Holdings Ltd.
Registered
Taiwan / 2023
Company no.
94237871
Focus
AI × Quantitative Research

BUILD THE NEXT RESEARCH SYSTEM

Bring us the question beneath the question.