ReClaim AI Systems Joins NVIDIA DGX Innovation Lab to Advance MOSES

Date: May 2026

ReClaim AI Systems has been accepted into the NVIDIA DGX Innovation Lab, gaining access to H100 compute to push MOSES into a high-performance, production-scale environment.

This is a clear step forward, moving from early validation into real-world testing at scale.

With direct access to advanced infrastructure, ReClaim is evaluating how deterministic, lossless compression performs under sustained production load—where inefficiencies are no longer theoretical, but material.

As generative AI transitions into enterprise use, the constraint is no longer just model capability.

It’s throughput.
It's cost.
It’s efficiency at scale.

And a significant share of that pressure comes from how much work systems are sending to models.

ReClaim’s approach targets this problem at its source.

MOSES reduces and structures inputs before they reach the model, minimizing unnecessary token usage. This becomes especially important in agent-driven workflows, where loops, retries, and incremental reasoning can quietly compound cost, latency, and infrastructure demand.

At scale, these inefficiencies don’t level out; they multiply.

Early results show meaningful token reduction with measurable gains in performance and efficiency.

Work inside the DGX Innovation Lab will push these results further. Testing MOSES under more demanding conditions and validating its impact in environments that reflect real production workloads.

ReClaim is focused on what comes next:

AI systems that don’t just perform,
but perform efficiently, at scale.

Because the future of AI won’t be defined by the largest models; It will be defined by the systems that do the least unnecessary work.

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Reclaim Joins Claude Partner Network Program! 

Date: April 2026

Good news: ReClaim is now part of the Claude Partner Network (CPN). 

Anthropic launched this program to help partners move Claude from pilots into full-scale production environments. For us, that means direct engineering support and training as we bring MOSES token compression into enterprise AI stacks. We're working on infrastructure that reduces LLM costs and energy consumption at the system level, so having a direct line to Anthropic's team is huge. 

Looking forward to putting this partnership to work. ​

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Engineering Discipline and Verification Drive MOSES Development 

Date: April 2026 

ReClaim is building MOSES with a strong emphasis on verification, reproducibility, and reliability. These principles are essential for infrastructure that operates in the critical path of enterprise AI systems. 

Development efforts prioritize repeatable behavior and predictable outcomes, ensuring that efficiency improvements do not come at the expense of trust or stability. Testing and validation are treated as core product requirements. 

This engineering discipline underpins ReClaim’s long-term goal of making advanced AI systems easier to govern, scale, and operate in real-world environments. ​

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ReClaim Announces the Release of MOSES 

Date: April 2026 

ReClaim announced the release of MOSES, a new control plane designed to help organizations manage AI costs and behavior as systems move into production. MOSES addresses a critical gap in modern AI deployments by allowing teams to apply business intent directly at runtime. 

Instead of relying solely on dashboards or after-the-fact reporting, MOSES enforces policies while requests are being executed. This enables organizations to keep costs predictable, preserve usability, and avoid extreme tradeoffs between shutting systems off or allowing unbounded spend. 

The release of MOSES represents an important step in ReClaim’s broader strategy to treat context and inference as managed resources. MOSES is built to integrate with existing AI stacks, allowing teams to gain immediate value without rearchitecting their applications. 

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ReClaim Expands Its Vision for Context as a Managed Resource 

Date: April 2026 

As AI systems grow more complex, ReClaim is advancing a clear philosophy: context should be treated as a managed resource rather than a hidden limitation. Uncontrolled context growth leads directly to rising costs, inconsistent behavior, and operational risk. 

ReClaim’s platform is designed to give organizations visibility and control over how context is accumulated, reused, and constrained across AI workflows. This foundation supports better economics and more predictable system behavior. 

With MOSES, ReClaim is translating this philosophy into practical infrastructure that supports both experimentation and long-term production deployment. 

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ReClaim Advances IP Protection for the MOSES Platform 

Date: March 2026 

ReClaim recently filed their 4th provisional patent with our friends at Main, Certona & Curran (35) Maine Cernota & Curran: Overview | LinkedIn) and wanted to say thank you for the fine work in such an expeditious manner!

ReClaim continues to strengthen its intellectual property portfolio as development of the MOSES platform progresses. Protecting the underlying innovations behind AI efficiency and memory systems is a key priority as the market rapidly expands. 

Our work focuses on building defensible infrastructure that can be trusted in enterprise and regulated environments. Investment in IP protection supports long-term product stability and helps ensure that core innovations remain secure. 

ReClaim remains focused on responsible disclosure and disciplined engineering as we bring new capabilities to market. Additional updates will be shared when appropriate. 

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ReClaim joins Microsoft for Startups  

Date: January 2026

Proud to announce our acceptance into Microsoft for Startups, giving us Azure credits and technical resources to scale MOSES—our AI compression technology. 

What we're building: 

MOSES is a lossless compression system that achieves ~30% token savings for enterprise AI deployments, enabling: 

• Lower compute costs 

• Reduced energy consumption 

• Faster inference 

• Expanded context capacity 

Multi-cloud advantage: 

With support from both Microsoft for Startups and NVIDIA Inception Program, we're delivering MOSES across Azure, AWS, and hybrid environments—wherever enterprises need it.  

Building the infrastructure layer for cost-efficient, enterprise-scale AI. 

Grateful for the Microsoft for Startups team's support. 

#MicrosoftForStartups #Azure #AI #EnterpriseAI #Startups 

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ReClaim Joins the NVIDIA Inception Program 

Date: October 2025

ReClaim is proud to be accepted into the NVIDIA Inception Program, a global initiative designed to support startups building advanced AI and accelerated computing technologies. Participation in the program provides ReClaim with access to technical resources, training, and ecosystem support as the company continues to develop its AI memory and efficiency platform. 

The NVIDIA Inception Program connects emerging companies with expertise across the NVIDIA ecosystem, helping teams move from early development through production-scale deployment. For ReClaim, this aligns directly with our focus on building production-grade infrastructure for AI systems operating in high cost and high reliability environments. 

As part of the program, ReClaim gains access to tools, preferred pricing, and visibility within a broader network of AI innovators. This milestone reinforces our commitment to building efficient, controllable, and enterprise-ready AI infrastructure. 

 

Scaling MOSES with AWS ️ 

Through our acceptance into NVIDIA Inception Program, we've secured AWS cloud credits to accelerate development and validation of MOSES: our AI compression technology.  

 

What we're building: 

MOSES achieves ~30% token savings for enterprise AI workloads, translating to: 

• Lower compute costs 

• Reduced energy consumption 

• Faster inference 

• Expanded context capacity—without architectural changes 

Why AWS: 

AWS infrastructure gives us the scale to validate MOSES across diverse enterprise workloads and bring proven cost savings to organizations running AI at scale. 

Multi-cloud ready: 

Combined with Microsoft for Startups support, we're positioned to deliver MOSES across AWS, Azure, and hybrid environments. 

Building the infrastructure layer for the next generation of enterprise AI. 

#AWS #NVIDIA #AIInnovation #EnterpriseAI #CloudComputing #Startups ​

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