Our Why: The Gap That’s Costing You

Your competitors are about to make decisions faster than you can hold a meeting.

You’ve built the dashboards. Deployed the sensors. Achieved “peak insight.” But when conditions change — a wildfire shifts, a supply chain breaks, a grid fails — you’re still too slow.

The gap isn’t data. It’s the time between seeing a problem and acting on it. We call this Decision Latency — and it’s costing most operations $50K–$500K per quarter.

SpatialNext is a research lab studying how to close it. We’re selecting partners for our 2026 research cohort.

See how it works below.

What We Deliver: The Decision Velocity Diagnostic

We’re not selling software. We’re not a consultancy. We’re a research lab — and we’re looking for partners.

We’re building the definitive framework for Decision Velocity: how organizations move from insight to action. To validate it, we need real operational data. In exchange, we give you a diagnostic most firms would charge $15K for.

What you receive:

  • Your Latency Score — where your decisions slow down and why
  • Your Latency Tax — the dollar cost of hesitation, calculated
  • An Architecture Map — where World Models and Reasoning Engines fit in your stack
  • A Vendor Shortlist — 3 technologies matched to your specific bottleneck

What we need from you:

  • 2 hours of your time (one intake call, one readout — 4 weeks apart)
  • 3 examples of decisions that were too slow
  • Anonymized process documentation (no system access required)

What we keep:

The right to use anonymized patterns in our 2026 State of Decision Velocity Report

This is collaborative research, not consulting. We’re selecting 3–5 partners per quarter.

Apply for the Research Cohort

Who This Is For

We work with senior leaders who own high-stakes decisions — where delay means losses.

You’re a fit if:

  • You own decisions where hesitation has a measurable cost (dollars, time, safety, mission)
  • You’ve invested in data and dashboards — but still feel too slow when conditions change
  • You’re a senior operator, not a student or researcher
  • You’re willing to share anonymized workflow examples for our research

You’re not a fit if:

  • You’re looking for a vendor to build software (we diagnose, we don’t implement)
  • You need a proposal you can hand to procurement (this isn’t a sales process)
  • You’re early-stage or pre-revenue (we need real operational data)

We’re selecting research partners, not taking clients.

Why Now

A dashboard describes reality. A Decision Engine changes it. That’s the shift which is underway.

Three things changed in 2025:

  1. LLM reasoning got commoditized. DeepSeek matched OpenAI for 1% of the cost. The “chatbot” layer is now table stakes — not a differentiator.
  2. The smart money moved beyond LLMs. Bezos, Fei-Fei Li, and Yann LeCun are betting on World Models — systems that simulate what-if in the physical world, not just generate text.
  3. The real competition moved up the stack. The question is no longer “Do we have AI?” It’s “Do we have a second brain in the room — one that reasons to what-next faster than theirs?”

The 18-month window is open.

The organizations that master Decision Velocity now won’t just have an advantage — they’ll set the tempo for their entire industry.

The rest will be explaining to their boards why they’re still paying people to stare at screens.

Apply for the 2026 Research Cohort

Blog

  • The Chatbot Era Is Over: Hardware, Research, and Capital All Point the Same Direction

    The Chatbot Era Is Over: Hardware, Research, and Capital All Point the Same Direction

    Decision Layer Signal Scan: January 5, 2026 Published: January 5, 2026 | Read Time: 7 minutes TL;DR: NVIDIA just built hardware explicitly for World Models. TechCrunch declared 2026 the year AI moves from hype to pragmatism. Google’s Genie 3 is being called the “GPT-3 moment” for interactive environments. The signals from this week all point…

    Read more

  • What is Decision Latency? The Hidden Cost Killing Your Operations

    What is Decision Latency? The Hidden Cost Killing Your Operations

    By Matt Sheehan, Decision Architect Matt Sheehan helps organizations close the gap between insight and action. He publishes The Augmented Decision-Making Brief, a weekly newsletter tracking the shift from dashboards to reasoning engines. Key Takeaways What is Decision Latency? Decision Latency is the gap between when data becomes available and when action is taken. Here’s…

    Read more

  • Your Competitor Just Got a $500 Million Head Start for $6 Million

    Your Competitor Just Got a $500 Million Head Start for $6 Million

    Decision Layer Signal Scan: December 29, 2025 Published: December 29, 2025 | Read Time: 6 minutes TL;DR: DeepSeek made the thinking layer cheap. Now the competition moves up the stack. The $6 million revolution didn’t just change AI economics—it eliminated the last excuse for waiting. Meanwhile, 95% of enterprise AI pilots are failing, and it’s…

    Read more

  • World Models vs LLMs: Why Leading AI Companies Are Making the Shift

    World Models vs LLMs: Why Leading AI Companies Are Making the Shift

    Yann LeCun’s $3B bet on World Models signals the end of LLMs for operational decision-making. Learn why enterprise platforms are shifting to reasoning engines and what it means for decision latency.

    Read more

  • The Lie of AI Autonomy: Why the Future is Augmented Decision Making

    The Lie of AI Autonomy: Why the Future is Augmented Decision Making

    Core Concepts: Everyone in AI is currently obsessed with “removing the human from the loop.” They tell you the goal is a “Black Box” that runs your operation while you sleep. That is a dangerous fantasy. In the physical world—where cranes collapse, grids fail, and supply chains snap—we don’t need a replacement. We need a…

    Read more

  • Physical AI vs. Generative AI: Why the “LLM Ceiling” is Real (Signal Scan)

    Physical AI vs. Generative AI: Why the “LLM Ceiling” is Real (Signal Scan)

    Decision Layer Signal Scan 12/14/2025 We are tracking the single most important shift in technology: the move from Generative AI (which writes code and poetry) to Physical AI (which automates the physical world). This week’s signals confirm that the “Data-Driven” era is ending, and the “Decision-Driven” era has begun. Key Concepts ———- 1. Why LLMs…

    Read more

  • The End of the Map (And the Rise of the Architect)

    The End of the Map (And the Rise of the Architect)

    Architecting of Action We have spent the last decade obsessed with Perception. We covered the world in sensors. We built infinite data lakes. We designed beautiful dashboards. But as I wrote this week, a map is not a decision. And a dashboard is not a plan. The gap between “seeing the problem” and “solving the problem”…

    Read more

  • Beyond the Dashboard: Why the Future of AI is the Decision Layer

    Beyond the Dashboard: Why the Future of AI is the Decision Layer

    For six years, I have tracked the rise of Geospatial 2.0. We witnessed a revolution of sensors, data, and machine learning that delivered unprecedented spatial insight. We mapped the world in high fidelity, built beautiful dashboards, and celebrated the “Proof of Concept.” But in the field, I observed a critical failure point: Insight is a…

    Read more

  • Decision Layer Signal Scan 11/23/2025

    Decision Layer Signal Scan 11/23/2025

    1. World Labs & the Rise of World Models Summary:This article explores how World Labs is pushing beyond LLMs into world-modeling systems that simulate physical reality rather than language. Their research focuses on generating consistent, physics-aware environments that allow AI to reason, predict, and plan in real-world settings. The work frames world models as a…

    Read more

  • YOUR WEEKLY GEOSPATIAL 2.0 BRIEFING 11/8/2025

    YOUR WEEKLY GEOSPATIAL 2.0 BRIEFING 11/8/2025

    Google Nested Learning & Geospatial 2.0: The AI Breakthrough That Finally Fixes the Forgetting ProblemNested Learning turns AI into learning loops at different time scales so models don’t forget. This unlocks brain-like continual adaptation. This is what makes dynamic geospatial decision systems possible — not static analytics.Explore how Nested Learning changes future digital twins VERSES…

    Read more

A WordPress.com website

Spatial-Next

The Decision Velocity Research Lab

801.733.0723

mattsheehan7365@gmail.com

Proudly powered by WordPress