Poseidon

Your most personal AI agent yet

Meet Poseidon.
Be everywhere.

Your AI attends the conversations you can't, understands what matters to you, and turns industry intelligence into your next opportunity.

Poseidon intelligence dashboard showing signals, opportunities, and a personalized intelligence model

Poseidon Research / Systems Paper 001

Intelligence that compounds with every signal.

Poseidon is a persistent intelligence architecture—not a stateless assistant. Five interoperable systems transform fragmented industry activity into a continuously refined model of what matters next.

SYS.01

Δ user state

Personal Intelligence Model

A continuously updated user-state representation encoding professional interests, goals, competitors, accounts, and domain expertise. Long-horizon memory, preference gradients, and contextual retrieval condition every generated insight.

Long-term memoryPreference learningContext retrieval

SYS.02

N-agent mesh

Multi-Agent Reasoning Engine

Specialized agents discover events, interpret discussions, investigate entities, validate evidence, and synthesize opportunities. A coordinator decomposes tasks, allocates compute, and resolves contradictory signals.

Task routingEvidence validationSignal arbitration

SYS.03

5 modalities

Multimodal Event Intelligence

Authorized audio, transcripts, presentations, documents, and event metadata are aligned into a shared semantic space—recovering entities, claims, intent, provenance, and strategic implications.

Cross-modal alignmentEntity resolutionClaim extraction

SYS.04

G(V, E, t)

Temporal Knowledge Graph

An evolving graph of companies, people, products, competitors, events, and relationships. Bi-temporal edges preserve what changed, when it changed, and the evidence supporting every connection.

Bi-temporal edgesProvenance chainsEntity memory

SYS.05

P(action | signal)

Predictive Opportunity Intelligence

A calibrated ranking layer scores emerging signals against the user model, estimates relevance and confidence, and recommends the next best action using retrieval, graph features, and temporal priors.

Signal rankingConfidence calibrationNext-best action

Architecture preview · Subject to active research

Memory → Reasoning → Evidence → Graph → Action