Signal Detection & Foresight

See what's emerging. Know what it means.

Innovation Insights is an intelligence practice with two lenses. One scans the world outside—26 industry verticals, daily, enriched through our InnoGraph. The other listens to the world inside—your organization's relational dynamics and hidden patterns. Then we score where those signals converge, and bring your team into thinking rooms designed to turn those convergences into the strategic questions nobody in the room knew they needed to ask.

Request a Scan How It Works

Ecosystem Sensing

The InnoGraph—your living intelligence layer

Our core IP is a knowledge graph where innovation trends and catalysts are first-class citizens. Patterns like scaling, distributed, autonomous exist as traversable nodes—not buried metadata. Constraints and capabilities chain together, revealing connections that traditional scanning misses.

Every day, we scan 26 industry verticals—watching funding rounds, product launches, strategic pivots, market shifts, and new business models. Each signal is automatically filtered, enriched, and woven into the graph. The result is an intelligence layer that's emergent but evidenced. Living and traceable. Transparent.

Innovation Insights InnoGraph tag browser — Technologies, Applications, Catalysts, and Trends taxonomy with signal counts across thousands of nodes

Innovation Insights surfaces new concepts from real-world credible sources across corporate, science, startups and think tanks. Over 2,000 signals per day are tagged and analyzed against an ever evolving taxonomy of innovation terms and concepts.

Organizational Listening

The OrgGraph—your living people layer

Every organization generates signals about its relational dynamics—informal influence pathways, hidden tensions, emergent patterns that haven't yet surfaced as conflicts or opportunities. We listen for them.

Using organizational network analysis, we map how information and energy actually move through your ecosystem—communication patterns, decision flows, bridging ties between teams. We combine this with structured stakeholder sensing: conversations with key network nodes designed to surface the things people know but haven't articulated.

ONA Visual Lab — 100-node synthetic network model showing Performance Score, Change Readiness, AI Adoption, and Attrition Risk across an organization

Synthetic ONA model — 100 nodes, 661 edges. Node size = Change Readiness. Color = Performance Score. Each node carries AI Adoption Score and Attrition Risk.

Inside the System

Where weak signals get picked up

When we say we "smash signals together," what we mean is we are continuously scanning thousands of signals across layers (application, catalyst, technology, trend) and from trade, research and think tank sources, in order to surface the timely moments when unrelated domains begin exhibiting similar structural patterns.

Each collision is scored across five dimensions: signal density, cross-layer spread, thematic clustering, incumbent involvement, and acceleration rate. A score of 9 or 10 out of 11 means something real is moving. Generative AI + 3D Model Generation + Creative AI at 10/11. Cancer & Oncology + Biomarkers + Antibody-Drug Conjugates at 9/11. These aren't keyword matches — they're structural convergences, surfaced this week, from credible real-world sources.

Innovation Insights signal acceleration tab — live convergence scores showing Generative AI, Incumbent Shift, and Cross-Sector collisions scored across Density, Layers, Themes, Incumbents, and Acceleration

Live signal acceleration tab — collisions scored in real time across five convergence dimensions. This week's system output.

What's Now and What's Next

Frontier science meets business strategy. A bi-weekly speculative fiction suggesting the shape of things to come.

Latest Edition

July 25 – August 7, 2026

The Buy Button Moves Into the Chat, Physical AI Clocks In, The Chokepoint Nobody Photographs, The Vendor Becomes the Bank, The Raise Gets Smaller, The Ad Factory Rebuilds Itself, The Verification Economy

1,571 Signals Tracked 7 Collisions Identified 10 Frontier Science Cards 229 Source Domains

This fortnight brought 1,571 signals across corporate, startup, thinktank, and research sources into focus, and the throughline is <strong>the interface is disappearing — and so is the middle</strong>. Albertsons put a checkout inside ChatGPT, Kohl's shipped a shopping assistant, a court let Perplexity's buying agent back onto Amazon, and Mastercard rewrote fraud rules it spent decades building to treat bots as thieves — because now the bots are the ones doing the buying. Mitsubishi is mass-producing humanoids on a repurposed engine line while the White House moves to ban the foreign robots that half the industry was counting on. The physical supply chain underneath all of it — optical transceivers, high-bandwidth memory, sovereign cloud regions — quietly became the real map of who gets to build. Nvidia and Google started acting less like vendors and more like banks, guaranteeing the revenue of the customers buying their chips. And in the labor market, the story stopped being layoffs and became something subtler: raises shrinking, the market splitting into AI-fluent haves and everyone else. Underneath it all, a verification economy is forming — deepfake detectors, fraud rewrites, 'trust but verify' construction tools, and an LLM that just caught one in six cancer papers as fraudulent. Fifteen fortnights in, the pattern isn't AI replacing the work. It's AI dissolving the interfaces, intermediaries, and gatekeepers we built the economy around — and forcing us to rebuild trust from scratch underneath.

Read This Edition

Past Editions