ReClaim Announces the Release of MOSES | Reduce Enterprise AI Costs by 30% Without Replacing Your AI Stack.
AI SYSTEMS
One Compression Layer. Every AI Market.
GOVERNMENT & PUBLIC SECTOR
CUSTOMER SERVICE & CONTACT CENTERS
ENTERPRISE PLATFORMS & HYPERSCALERS
HEALTHCARE & LIFE SCIENCES
FINANCIAL SERVICES
Every industry running AI at scale faces the same problem:
token volume drives cost and limits capacity.
MOSES solves that at the infrastructure level.
MOSES reduces token volume across industries — from hyper-scalersand enterprises to defense and life sciences.
AGENTIC AI PLATFORMS
AI Efficiency That Creates Business Value
The question isn't whether AI can do more.
The real question is: What happens when AI costs drop by 30% while capacity increases using existing infrastructure?​
The answer depends on your industry
MOSES delivers ~30% token reduction across every AI workload it touches. ​
Enterprise Platforms, & Hyperscalers
Providers offer more AI features without scaling inference costs.
Benefits
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Improve gross margins as AI features scale with user growth
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Ship more AI copilots, assistants, and automation without proportional infrastructure increases
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Reduce per-user inference cost as AI becomes a core product feature
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Token stream compressed at every step; prompt retrieval, reasoning and ouput
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Lower costs on shipping for device AI with fewer tokens
Government & Public Sector
Expand AI services within fixed budgets and procurement constraints.
Benefits
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Expand AI-enabled services within fixed budget and procurement cycles
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Deterministic, lossless processing supports auditability and governance requirements
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Increase document processing and citizen service capacity without new infrastructure requests
Financial Services
Scale AI-driven operations while keeping infrastructure costs flat.
Benefits
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Improve transaction-level economics across AI-driven customer interactions and operations
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Support compliance and audit requirements with deterministic, lossless processing
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Increase throughput for fraud detection, document review, and research workloads
Agentic AI Platforms
Deploy more agents and workflows without proportionally scaling infrastructure.
Benefits
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Lower cost per agent across multi-step reasoning chains and tool calls
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Increase concurrent agent workloads on existing GPU infrastructure
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Scale automation across more business functions without adding hardware at the same rate
Healthcare & Life Sciences
Process more clinical and regulatory workloads without increasing infrastructure spend.
Benefits
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Process more clinical documentation and regulatory submissions without adding infrastructure
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Lossless reconstruction preserves evidentiary integrity for audits and compliance
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Scale AI-assisted quality, safety, and regulatory workflows across departments
Customer Service & Contact Centers
Handle more customer interactions at lower cost per conversation.
Benefits
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Lower cost per conversation across chat, email, voice, and agent-assist channels
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Handle peak demand spikes without emergency infrastructure scaling
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Increase AI-assisted resolution capacity without adding headcount or hardware
One Technology. Different Outcomes. Same Economic Advantage.
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Across industries, the value proposition remains the same:
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Lower AI processing costs
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Increased AI capacity
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Better infrastructure utilization
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Faster response times
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​Enterprise-grade governance and audit-ability
MOSES enables organizations to get more value from the AI infrastructure they already own by reducing token volume before work reaches the model. Validation testing demonstrated approximately 30% average token reduction, 20–50% compression ranges, and efficient, scalable performance across workloads.