Signal Fabric Engine™
Consolidates market signals, operational data, and partner context into one decision layer for pricing, inventory, and expansion.
Technology
Powering transparent AI for revenue operations
Stratum Predict™ delivers a generative architecture that unifies pricing, inventory, and expansion decisions while keeping every recommendation explainable and governed.
Architecture pillars
The Signal Fabric Engine™ is designed to keep intelligence, governance, and action aligned.
Explainable generative intelligence
Simulations document assumptions, guardrails, and projected outcomes so leaders can defend every recommendation.
Enterprise-grade governance
Privacy, access controls, and audit trails keep automation compliant across industries and regions.
Core capabilities
Modular services that translate AI insight into accountable action.
Scenario simulation
Test pricing, promotion, inventory, and expansion strategies in minutes with full transparency into expected results.
Decision orchestration
Automate workflows, approvals, and notifications that connect revenue, supply, and finance teams.
Monitoring & assurance
Track model drift, capture rationale, and document KPI impact for stakeholders, auditors, and regulators.
How we address the hard problems
Enterprises adopt Stratum Predict™ to overcome the barriers that stall AI-led revenue operations.
Fragmented decision tools
We replace disconnected systems with one shared platform that keeps context synchronized across teams.
Opaque automation
Every output is explainable, enabling confident conversations with executives, boards, and regulators.
Scaling complexity
Modular services extend across channels and geographies without manual rework or risky overrides.
White papers & resources
Latest research, product updates, and technical notes from the Stratum Labs blog.
Diffusion Transformers
Scalable Diffusion Models with Transformers
Mixture-of-Recursions (MoR)
MoR faster LLMs by letting hard tokens “think” deeper
Explore more
Browse all product updates, case studies, and podcasts directly on our blog.
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