Perimattic AI Model Optimization Services
Perimattic ManageStacks · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Perimattic's AI Model Optimization Services help organizations maximize the performance and business value of their AI and machine learning models on AWS. We optimize foundation models, large language models (LLMs), computer vision models, recommendation systems, and predictive analytics solutions to reduce inference costs, improve latency, and enhance model accuracy.
Our engineers evaluate your existing AI infrastructure, identify performance bottlenecks, and implement optimization techniques including quantization, pruning, knowledge distillation, model compression, GPU optimization, inference acceleration, and efficient deployment pipelines. Whether you are running custom AI models or deploying generative AI applications, we ensure your models deliver reliable, scalable, and cost-effective performance in production.
Show the rest of the publisher’s description (17 more lines)
Our services include:
- AI Model Performance Assessment
- Large Language Model (LLM) Optimization
- Model Compression & Quantization
- Knowledge Distillation
- Inference Optimization
- GPU & Accelerator Optimization
- Model Pruning
- Fine-Tuning Optimization
- AI Cost Optimization
- ML Pipeline Performance Tuning
- AWS SageMaker Optimization
- Model Deployment Optimization
- Real-time Inference Scaling
- Continuous Performance Monitoring
- Production AI Optimization
Built for AWS, our services help organizations reduce infrastructure costs, improve response times, increase model efficiency, and deliver production-ready AI applications that scale with business growth.
Highlights
Highlighted by the publisher on AWS Marketplace.
Optimize AI models, LLMs, and ML workloads to improve accuracy, reduce latency, and lower cloud costs on AWS.
Expert model compression, quantization, inference optimization, GPU tuning, and AWS SageMaker performance optimization.
End-to-end AI model assessment, deployment optimization, monitoring, and continuous performance improvement.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
3 linksLinked repositories
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