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.

Join the Poseidon waitlist

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
interests
goals
accounts
user
memory
context
preferences

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 memory
Preference learning
Context retrieval
SYS.02
N-agent mesh
route
find
coord
parse
prove
synth

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 routing
Evidence validation
Signal arbitration
SYS.03
5 modalities
audio
transcript
slides
docs
metadata
entity claim
semantic space

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 alignment
Entity resolution
Claim extraction
SYS.04
G(V, E, t)
co
ppl
prod
comp
evt
opp
t0
t1
t2

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 edges
Provenance chains
Entity memory
SYS.05
P(action | signal)
42
signal
68
fit
81
conf
rank #1
act

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 ranking
Confidence calibration
Next-best action
Architecture preview · Subject to active research
Memory → Reasoning → Evidence → Graph → Action
×

Private beta access

Be there, even when you can't.

No noise. Just meaningful updates and early access.

You're in.

Welcome to the first wave.

We'll be in touch when Poseidon is ready for you.

Oops! Something went wrong while submitting the form.