ENTERPRISE INTELLIGENCE PLATFORM · CONTINUOUS MONITORING

A hundred eyes on the web.
Three lenses,

Five collection agents scrape continuously. Cognee stores every signal in a persistent knowledge graph. GTM, Finance, and Security teams each see a different truth from the same data.

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0
Collection agents
0
Analysis lenses
0+
LLM models via AI/ML API
0/7
Continuous monitoring
ARCHITECTURE

One scrape.
Three analyses.

01
MarketDataBotPRICE
FilingDataBotFILING
SocialDataBotSOCIAL
SupplierDataBotSUPPLIER
NewsDataBotNEWS

Collect

Five specialized agents scrape the live web continuously via Bright Data. Market prices, SEC filings, LinkedIn signals, supplier health, and breaking news.

02
COGNEE GRAPHLIVE
Market
45%
Filing
68%
Social
46%
Supplier
69%
News
47%
847 facts stored3 lenses active

Remember

Every fact is stored in a Cognee knowledge graph with source URL, timestamp, and confidence score. Agents recall before acting. No duplicate scrapes, no stale data.

03
ACCOUNT SIGNAL92

Series B detected

Analyze

The same graph is queried three ways. GTM sees buying intent. Finance sees alpha. Security sees vendor risk. One truth, three lenses.

THREE PERSPECTIVES

All three lenses on the same truth.

REVENUE INTELLIGENCE

GTM Lens

Competitor moves before announcements
Hiring surge → product launch correlation
Buying intent from procurement postings
Account enrichment with live web evidence
GTM LENSLIVE
Competitor moves before announcements0.85
Hiring surge → product launch correlation0.89
Buying intent from procurement postings0.93
ACCOUNT SIGNAL92

Series B detected

ALPHA INTELLIGENCE

Finance Lens

Filing divergence alerts — 10-Q vs guidance drift
Supply-chain stress from vendor data
Earnings surprise from social signals
Cross-referenced alpha grounded in evidence
FINANCE LENSLIVE
Filing divergence alerts0.85
Supply-chain stress from vendor data0.89
Earnings surprise from social signals0.93
ALPHA SIGNAL87

Guidance divergence +14%

RISK INTELLIGENCE

Security Lens

Vendor risk scoring with continuous monitoring
Regulatory action early warning system
Brand exposure detection across all surfaces
Threat intel correlated with supplier health
SECURITY LENSLIVE
Vendor risk scoring with continuous monitoring0.85
Regulatory action early warning system0.89
Brand exposure detection across all surfaces0.93
RISK SIGNAL78

Vendor exposure: HIGH

PIPELINE · EVENT-DRIVEN

From raw web to intelligence brief.

No manual steps. No sequential coupling. Each agent independently reacts to events and stores findings in shared memory.

01
monitor_tick →

Tick fires

Scheduler emits a MonitorTick for each company in your watchlist.

02
evidence_collected →

Agents collect

All 5 collection agents react in parallel. Bright Data scrapes live URLs.

03
fact_classified →

Normalizer extracts

LLM normalizes raw HTML into structured facts with confidence scores.

04
lens_analysis_complete →

Lenses analyze

GTM, Finance, and Security lenses each query Cognee and produce a finding.

05
brief_ready ✓

Brief delivered

CorrelationEngine cross-references all signals. Brief is written and surfaced.

COMPETITIVE ADVANTAGE

Why Argus is different.

MEMORY

Persistent knowledge graph

Competitors run one-shot reports. Argus watches continuously and alerts when the story changes.

Cognee stores, correlates, and recalls across sessions.
DATA

One scrape, three analyses

A LinkedIn profile change is a hiring signal (GTM), leadership risk (Finance), and vendor stability indicator (Security) — stored once, queried three ways.

No duplicate scrapes. No stale context.
COVERAGE

All three tracks, genuinely

Cortex does finance-only. CompeteIQ does GTM-only. Keiretsu Radar does security-only.

Argus covers all three with equal depth from shared evidence.

Intelligence that
never sleeps.

Join the platform where every web signal is stored, correlated, and surfaced through the lens that matters to your team.