Competitive Signal History
Every competitive event — regulatory filings, clinical trial status changes, publication patterns, digital behavior shifts — captured and timestamped against your molecule's timeline.
The World Model
A continuous operating model of the reality your product exists in.
Not a dashboard that shows what happened. A living model that tracks what is happening, simulates what could happen, and tells you what to do about it.
Every intelligence vendor gives you a view of what happened. We built something structurally different: a system that monitors, detects, simulates, and surfaces intelligence at the moments your teams make decisions. Not a dashboard queried on demand. Not a chatbot layered on disconnected data. A living model of your competitive, regulatory, clinical, and market reality — composed of five components that work together and compound over time.
Knowledge Graph
Persistent. Compounding. Never turns off.
The Knowledge Graph is the memory of the World Model — a persistent intelligence layer for each molecule or device program that captures every competitive signal, every evidence extraction, every decision made, and every institutional insight generated.
Institutional Memory
When your team turns over, the Knowledge Graph retains every decision, every competitive signal, every strategic insight. Zero institutional knowledge loss — regardless of how many people transition.
Cross-Product Routing
Signals relevant to multiple programs route automatically. A biosimilar filing detected for one molecule enriches the franchise defense strategy for every other. A 510(k) clearance for a competitor device updates the predicate landscape for your next-generation platform. Intelligence compounds across a portfolio, not siloed within it.
Agent Mesh
Progressive. Delegating. Contrarian.
Not a pipeline. Not a chatbot. A network of specialized agents that decompose problems, delegate sub-tasks, validate each other's work, and maintain a contrarian loop that constantly challenges outputs.
Progressive Agents
Agents adapt to evolving problems — they don't follow rigid steps. When competitive landscape shifts mid-analysis, the mesh re-evaluates rather than waiting for someone to notice.
Delegation Architecture
Agents spawn specialized sub-agents dynamically. A single question decomposes into hundreds of parallel sub-tasks, each handled by the agent best suited to answer it.
Contrarian Loop
Dedicated agents argue against conclusions before they surface — testing robustness, catching drift from evidence, and ensuring outputs can survive scrutiny.
Behavior Labs LLM
Specialized AI powering the World Model.
A 12-model mixture-of-experts designed to understand pharmaceutical and device complexity — pharmaceutical interactions, device regulatory pathways, clinical nuance, and competitive dynamics — and orchestrate the Agent Mesh. The Behavior Labs LLM is not the moat. The moat is understanding how to guide foundation models contextually while maintaining private, tenant-isolated, compounding IP assets.
Small Language Models
Domain-specific knowledge, fine-tuned for narrow expertise — clinical trial logistics, regulatory pathway precedent, payer formulary dynamics. The right model for each sub-task, not one model for everything.
Small Reasoning Models
Context-aware reasoning that changes by team, stage, and decision type — execution-level tactics, regional strategy, legal risk assessment, competitive reasoning. Grounded in the Evidence Engine's verified facts.
Foundation Models
Breadth — transfer of learning, understanding, concepts. Vision, balanced reasoning, system-prompt-optimized tasks. Foundation models evolve. Behavior Labs' agent architecture chooses any foundation model dynamically — avoiding lock-in while compounding on external R&D.
Synthetics Layer
Actors. Environments. Events. Hypotheticals.
A platform-level simulation capability that models the full ecosystem your product exists in: the people who make decisions, the markets they operate in, the events that disrupt them, and the scenarios that haven't happened yet.
Stakeholder Actors
HCPs by specialty, patients by phenotype, payer committees, regulators, KOLs, competitors, hospital systems, and field force — each with behavioral constraints and decision models.
Environments and Events
Every simulation runs inside a synthetic environment — a reconstructed market, geography, formulary structure, or regulatory context built from your actual data. Then we introduce events: trial readouts, label updates, competitive entries, policy shifts. The result is a test of how your strategy performs when the world moves.
Hypotheticals and Stress Tests
What-if scenarios, black swans, boundary testing, counterfactuals. Not a focus group that takes eight weeks and costs $200K. A living simulation layer where you test twenty variations in days.
Rules Engine
The physics that keeps simulations honest.
Without the Rules Engine, synthetics are speculation. With it, they're grounded simulation that teams can trust. Simulations explore broadly — but never violate the physics of the system they're modeling.
Regulatory Physics
FDA requires Phase 3 for NDA. 510(k) requires predicate. EU MDR requires Notified Body. These rules are immutable — pre-loaded, never overridden.
Market and Scientific Truths
Formulary committees meet quarterly. GPO contracts renew annually. Mechanism constraints, biomarker prevalence, drug-drug interactions. Platform-maintained and evidence-grounded.
Organizational Rules
'Never discount below X margin.' 'Minimum N patients for indication pursuit.' Customer-defined constraints that encode your organization's operating physics alongside the industry's.
Evidence Engine
The Evidence Engine
Collects verifiable, citable clinical and regulatory evidence — label data, publications, guidelines, advisory board trends. Four gates validate every claim before it reaches a decision. The Evidence Engine provides the facts; Ground Truth adds signals and situational awareness on top.
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Gate 1
Retrieval
Continuous ingestion from 12,000+ sources — clinical registries, regulatory filings, publications, formulary feeds, digital signals. Relevance-filtered before anything enters the pipeline.
Pass rate95%
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Gate 2
Grounding
Entity resolution and fact matching. Every extracted claim linked to its source, timestamped, and validated against the molecule's Knowledge Graph.
Pass rate90%
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Gate 3
Consistency
Cross-source agreement testing. Contradictions are escalated — not silently resolved. When two sources disagree, the system surfaces the conflict rather than picking a winner.
Pass rate85%
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Gate 4
Compliance
Regulatory and fair balance review. Content that fails grounding is blocked, not flagged. The system would rather say nothing than say something it cannot verify.
Pass rate80%
Integrated Scenario
How It All Works Together
The World Model isn't separate or siloed systems. It's connected components of one continuously operating intelligence architecture — activated by a single signal.
Step 1Knowledge Graph
Signal Detected
Competitor's ClinicalTrials.gov status changes from 'Recruiting' to 'Active, not recruiting.' The Knowledge Graph flags it as relevant to your Phase III timeline.
Step 2Knowledge Graph
Knowledge Graph Enriched
The signal is cross-referenced against your molecule's timeline, your competitor's trial size, and historical enrollment-to-readout ratios. Context assembled in minutes.
Step 3Agent Mesh
Agents Decompose
The Agent Mesh breaks the question into sub-tasks: what does this mean for your indication sequencing? Your payer positioning? Your filing timeline?
Step 4Synthetics Layer
Synthetics Simulate
Synthetic scenarios run: three competitive timing models, two market access implications, one contrarian scenario. 400 variations exhausted before a conclusion surfaces.
Step 5Rules Engine
Rules Validate
The Rules Engine constrains every conclusion. FDA requires completion of enrollment before primary analysis. The competitor's Phase 3 can't read out before Q3 based on trial size.
Step 6Decision Artifact
Decision Artifact Generated
Intelligence routes to the right team, at the right lifecycle stage, at the right decision moment. Not a report. Not a dashboard. Actionable intelligence delivered when it matters.
See what Ground Truth reveals about your product
Reach out to commission your custom, evidence-grounded assessment