ReClaim Announces the Release of MOSES | Reduce Enterprise AI Costs by 30% Without Replacing Your AI Stack.
AI SYSTEMS
MOSES Reduces Enterprise AI Costs by 30%
Without Replacing Your AI Stack
MOSES is ReClaim’s deterministic, lossless AI token compression layer. It reduces token volume across the AI pipeline, helping enterprises lower inference costs and increase AI capacity from existing infrastructure.
Proven Results at Scale
Every Metric Maps to Business Value
Organizations don't buy token compression.
They buy lower AI costs and greater capacity from the infrastructure they already have.
~30% lower AI processing costs
Lossless token compression reduces token volume by ~30%, directly lowering LLM inference and processing costs with no impact to accuracy or auditability.
Low risk, low‑friction deployment
Implemented before/after inference; no changes to applications, schemas, or downstream systems.
Preserves compliance and evidentiary integrity
Perfect round‑trip reconstruction ensures original text is always recoverable, supporting audits, records retention, and regulatory requirements.
Customer‑optional efficiency layer
Organizations can offer MOSES as an opt‑in option for customers to reduce AI costs or increase usage headroom without changing workflows.
Security‑aligned
by design
MOSES operates entirely within controlled environments, does not persist customer data, and reduces data exposure by minimizing the volume of text processed and transmitted during inference.
Clear, measurable
value shown
Savings are easy to explain and justify: token reduction × per‑token cost; simplifying customer budgeting, procurement, and approvals.