Artificial Intelligence
that Thinks Ahead.
In our 30+ years of working with artificial intelligence, we've learned that the larger the enterprise, the more there is at stake. So an AI that reacts to situations is too late. An AI that predicts is too late also. You need an AI that not only predicts, but prepares. Proactively. This is most true with hedge funds, where millions can be lost in a matter of milliseconds. Our AI's not only predict, but take action.
infrastructure
We maintain arrays of servers and data clusters colocated on the same trunks as the Department of Defense for resiliency and speed. In addition, we are located next to one of the few Super NAPs on the planet.
The Super NAP we chose is Tier IV Gold, and is also used by the Department of Defense and other military agencies.
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We maintain continuous analysis of most major markets for many of our clients, and offer those same data analysis and artificial intelligence deep analysis for lease. If you require detailed technical or fundamental market analysis, we can schedule analytics cycles for your tasks as well.
The heart of any intelligence is the management system. Our systems use advanced algorithmic based, portfolio optimization technology that borrows from the latest academic research as well as traditional algorithmic and machine learning approaches. Our difference is that all the algorithms must compete against each other.
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So each individual algorithm is constantly competing to show that they can generate more alpha from their management approach, better than their sibling algorithms. Then overseeing all the algorithms is the
Omniscience Engine Artificial Intelligence. This AI sees all using advanced heuristics, and make the final determination based on which algorithms are generating the most alpha and profits.
Then the Omniscience Engine AI constantly re-balances among the different algorithms using third-generation algorithmic rebalancing methodology to constantly shift the return curve towards optimal. The net result, is a smooth, consistent, and adaptive curve that optimizes for consistency, and risk control above all else. These systems are custom designed per client so as to not collide with other systems.
omniscience
engine
cortical arrays & algorithmic development
The challenge that most institutions face is the development of new algorithms, especially in rapidly shifting regime changes. Existing algorithms quickly lose their "edge", and developing new algorithms is time consuming, and cannot react quick enough with requirements of forward testing.
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The Invictus9 Cortical Array is an array of hundreds of artificial intelligences working in unison, with each AI focusing on a particular objective, and a particular aspect of that market. Each AI utilizes machine-learning-heuristics to search for inefficiencies that can be harvested. All these AI's do so in real-time.
In addition, each AI spawns children. Each child splinters the aspect view of the market, further fine tuning, and at the same time searching for non-correlating inefficiencies for harvest. This leads to literally thousands of algorithms exploring hundreds of markets, and thousands of equities for inefficiencies.
The net result is real-time, and very rapid adaptive discovery of opportunistic AI based algorithms capable of producing solid results, and quickly adapting to whatever situation conditions change, in a matter of seconds.
This approach works very well on concert with the Omniscience Artificial Intelligence Engine to serve as a management algorithm to all the other AI's and their offspring.
The heart of any intelligence is the management system. Our systems use advanced algorithmic based, portfolio optimization technology that borrows from the latest academic research as well as traditional algorithmic and machine learning approaches. Our difference is that all the algorithms must compete against each other.
​
So each individual algorithm is constantly competing to show that they can generate more alpha from their management approach, better than their sibling algorithms. Then overseeing all the algorithms is the
Omniscience Engine Artificial Intelligence. This AI sees all using advanced heuristics, and make the final determination based on which algorithms are generating the most alpha and profits.
Then the Omniscience Engine AI constantly re-balances among the different algorithms using third-generation algorithmic rebalancing methodology to constantly shift the return curve towards optimal. The net result, is a smooth, consistent, and adaptive curve that optimizes for consistency, and risk control above all else. These systems are custom designed per client so as to not collide with other systems.
swarm optimized liquidity solutions
advanced swarm optimized alpha systems
One of the most powerful techniques that we have discovered, and has provided a strong, consistent results in all markets has been an advanced form of swarm optimization. By combining swarm optimization and hive intelligence, has allowed hundreds, and thousands of individual algorithms to use seek and hunt patterns to search out different markets, different approaches among different time horizons, each in search inefficiencies that can be harvested.
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The use of Hive Intelligence has made the swarm incredibly effective and efficient. By enabling all the individual drone algorithms to communicate with each other, they are able to coordinate themselves. So when one set of algorithms finds opportunity, it notifies other algorithms to join them in their search patterns.
The net result is a system, or hive, that can quickly adapt to changing conditions, and more so, can actually profit through close coordination, and actually generate more results than would normally be harvest-able.
The heart of any intelligence is the management system. Our systems use advanced algorithmic based, portfolio optimization technology that borrows from the latest academic research as well as traditional algorithmic and machine learning approaches. Our difference is that all the algorithms must compete against each other.
​
So each individual algorithm is constantly competing to show that they can generate more alpha from their management approach, better than their sibling algorithms. Then overseeing all the algorithms is the
Omniscience Engine Artificial Intelligence. This AI sees all using advanced heuristics, and make the final determination based on which algorithms are generating the most alpha and profits.
Then the Omniscience Engine AI constantly re-balances among the different algorithms using third-generation algorithmic rebalancing methodology to constantly shift the return curve towards optimal. The net result, is a smooth, consistent, and adaptive curve that optimizes for consistency, and risk control above all else. These systems are custom designed per client so as to not collide with other systems.
swarm optimized solutions
hive intelligence biomimetic system design
Everything we do involved, massively scaled artificial intelligences. To solve the problem of inordinate computing power requirements, doubled with the highly dynamic requirements, of sometimes being mostly idle, to sudden condition changes moves requiring exponential computing requirements, we combined biomimetic hive intelligence with a queen intelligence. It proved to be shockingly adaptable, and able to efficiently allocate computing resources beyond our wildest hopes.
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In essence, each computing unit, or server is considered a drone. As a drone, it is capable of doing any task requested of it by the queen. Therefore, each server is adaptable, at a moments notice. The queen computing unit is capable of spawning (spinning up additional servers) at will.
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So the queen, being aware of all of her drones, can allocate computing resources as needed. Under times of duress (or learned times of expected duress), she can request that additional drones be spawned in anticipation, and then released when no longer needed.
The system is highly adaptable, and incredibly resilient. Failures of single servers have no meaning, since other drones are always available to accomplish tasks. Finally, drones are capable of mutating into "daughter" servers, which can become queens if the queen becomes overtaxed, or damaged.
This highly adaptable, and nearly impervious approach is incorporated into all our engineering and infrastructure designs.