Live intelligence from 190K+ specialized sources

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Where to invest. Who to watch. What to bet on. You make these calls with news, gut feel, and whatever your team read last week. What if you could see the structural signals four months before the market prices them in?

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190K+
Specialized sources
11M+
Entities tracked
18mo
Signal trajectory
Agentic AI
Technology Trend
4 mo
early
Building Momentum
Ins7ghts Signal
Google Trends
Sep 24
Jan 25
May 25
Aug 25
Nov 25
Jan 26
Feb 26
The specialists were writing about Agentic AI for months before anyone was Googling it. Then the hype wave hit. Now the hype is cooling, but the expert conversation just exploded. That's the implementation signal.
Spotted 4 months before the mainstream wave
Experts started writing Sep 2024 · Google searches caught up Jan 2025
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12 Decisions That Get Better With Structural Intelligence

Pick your question. See how structural patterns answer it.

VC & PE

When to invest in a category

Agentic AI: structural signal detected Sept 2024, four months before Google Trends spike. When public hype peaked and faded, expert adoption quietly accelerated. The crossover marks the window.
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VC & PE

When to exit or reduce exposure

The headlines were still loud, but the experts had stopped writing new things. The same names, the same arguments, no new voices. The smart money was already repositioning. We spotted the divergence.
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Innovation

When a technology is ready for enterprise

There is a measurable moment when conversation shifts from problems to solutions. When documented solutions start outnumbering open pain points, adoption is crystallizing. We track that ratio.
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VC & PE

Who is gaining influence before revenue shows it

Revenue is a trailing indicator. Influence in expert conversations is a leading one. A company that the specialists keep citing, before anyone is Googling them, is a smart money signal. We track that gap.
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VC & PE

Who is acquiring whom (and who is next)

Before the announcement, the structural patterns form: funding events cluster, investor networks overlap, two companies increasingly appear in the same industry conversations. We track these pre-acquisition patterns.
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Strategy

Which competitors are converging on the same space

Three vendors started appearing in the same technical contexts six weeks before any announced competing products. Structural co-occurrence saw it. Press releases confirmed it later.
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VC & PE

Which categories are forming before they have a name

Before "Agentic AI" consolidated, AI Agents, Autonomous Systems, Tool Use, and Orchestration were clustering together. No label dominated. The category was forming in the connections. We saw the cluster.
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VC & PE

Where the funding is going (and accelerating)

Total funding dollars tell you where money went. Funding acceleration tells you where it is going next. We track quarter-over-quarter increases tied to specific technologies and companies.
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Innovation

Feature or product?

Data Orchestration Layer: expert discussion stayed flat while public interest faded. No spread beyond its original domain. Pattern: being absorbed into existing platforms, not emerging as its own category.
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Strategy

What skills to hire for before the market catches up

Skills appearing alongside high-momentum technologies in expert discourse today become tomorrow's talent wars. The gap between expert discussion and job postings is your hiring window.
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Research

What compliance and regulation is coming

EU AI Act: connections between regulatory bodies and affected industry sectors appeared in the knowledge graph months before enforcement dates hit mainstream coverage. Early signal, early preparation.
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Innovation

Where the gaps are (unmet needs = opportunity)

When a high-momentum theme has many documented pain points but few matching solutions, that is white space. Demand exists, the market has not responded. We identify where supply lags behind pull.
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See It Working

Three live signals. Real data. Updated monthly from 190K+ sources.

Agentic AI
Category Timing
4 mo
early
Building Momentum
Sep 24
Jan 25
May 25
Aug 25
Nov 25
Jan 26
Feb 26
Experts were writing about it 4 months before anyone was searching. The hype wave came and went. Now the expert conversation is exploding again. That's the implementation signal.
Spotted 4 months before the mainstream wave
See the full analysis
EU AI Act
Regulation Signal
3
industries
Ahead of the Curve
Sep 24
Jul 25
Aug 25
Nov 25
Dec 25
Jan 26
Feb 26
Everyone Googled it when the deadline hit. Then they stopped. But the experts just started writing in earnest. Healthcare, finance, and manufacturing are all picking it up. Compliance tooling is forming as a category.
The experts are writing now that the hype has moved on
See the full analysis
Cybersecurity
Mature Category
18 mo
consistent
Established Authority
Sep 24
Feb 25
Jul 25
Sep 25
Dec 25
Jan 26
Feb 26
The expert conversation has been strong for 18 straight months. Public awareness stepped up, not spiked. This is a mature category where you're not too late, but standing out is the real challenge.
Not a timing problem. A differentiation problem.
See the full analysis
cyan = what specialists are writing about · grey = what everyone is Googling · Feb 2026

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Questions

ChatGPT answers "what is X?" from training data. Perplexity finds recent sources. Ins7ghts tracks how entities structurally evolve across 190K+ specialized sources over 18 months. We answer "what will X impact, when, and what does the convergence pattern mean?" No chatbot can replicate temporal structural analysis.

190K+ articles from specialized industry publications, research papers, company blogs, and expert sources focused on AI, data management, and enterprise technology. Every source is decomposed into entities, relationships, and temporal context. Quality and specialization over volume.

Every insight links to source articles. Signal cards show the timeline with dates. You can check when we spotted a signal vs. when the market confirmed it. Full transparency, no black boxes.

5 queries per day, daily newsletter briefing, and basic trend data. No credit card required. Enough to see if the intelligence fits your workflow before committing.