Aegis
How do we train and enhance models to make every part of Sigmance reason better?
Sigmance's model forge and training academy, built on the Search + Learning = Reasoning paradigm. Aegis transforms any base model into a frontier-grade reasoner, specializes it for Sigmance's domain, and trains the machine's own model lineage. AlphaZero did not rent its mind - neither will Sigmance.
Search + Learning
Reasoning paradigm
Prove small, scale up
Training method
1B to trillions
Model scale
AlphaZero-style loop
Self-improvement
Role in Sigmance
The training academy and the shield of the machine's mind. Aegis runs the four-service loop - policy initialization, reward design, search, and learning - in iterative AlphaZero-style cycles that lift the reasoning quality every subsystem depends on. And unlike any lab, its models are graded by the market itself: forecasts score against what happened, theses against realized outcomes - every day, at world scale.
Capabilities
Policy Initialization
Turns base LLMs into reasoning-capable models via SFT, chain-of-thought integration, and domain specialization.
Reward Design
Outcome-, process-, preference-, and self-rewarding signals that teach models what good reasoning looks like.
Search
Best-of-N, beam search, MCTS, and Stream-of-Search trajectory learning scale reasoning at inference and training.
Learning
PPO, DPO, GRPO, AXPO, and STaR self-training close the loop - search, score, learn, repeat.
The Pantheon - model lineage
A lineage of models we are actively working on - each tier building on the last, culminating in ZEUS-1, the best model we plan to build. What makes them different is what they learn from: proprietary data and causal chains no one else has, distilled from every subsystem of the machine - and the market itself grades them, every day.
01
In development
CHRONOS
Foundation - the pre-trained base the lineage is built on.
02
In development
PROMETHEUS
Reasoning and tool-use - structured thought and action.
03
In development
HERMES
Fast inference - distilled speed for the live loop.
04
The target
ZEUS-1
The pinnacle - the best model we plan to build.
Consumes
- Domain data
- Reward functions
- Reasoning traces
Produces
- Enhanced models
- Specialized reasoners
- Reasoning policies
Game-Theoretic Lens
Trains models on adversarial reasoning, strategic anticipation, theory-of-mind, and multi-agent interaction.
Connected subsystems
The machine is the edge.
Aegis is one part of Sigmance - an autonomous, self-evolving system that compounds intelligence into capital decisions. We're opening early access to qualified investors and partners.
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