Perimattic MLOps Services
Perimattic ManageStacks · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Perimattic's MLOps Services enable organizations to operationalize machine learning by building secure, automated, and scalable ML platforms on AWS. We help businesses streamline the complete machine learning lifecycle, from data preparation and model training to deployment, monitoring, governance, and continuous improvement.
Our MLOps engineers implement automated ML pipelines using industry best practices, enabling faster experimentation, reliable deployments, and continuous model monitoring. Whether you're developing predictive analytics, recommendation engines, computer vision systems, or generative AI applications, we ensure your ML models are production-ready, scalable, and easy to maintain.
Show the rest of the publisher’s description (17 more lines)
Our services include:
- MLOps Strategy & Consulting
- Machine Learning Pipeline Automation
- CI/CD for Machine Learning
- AWS SageMaker Implementation
- ML Model Deployment
- Model Versioning & Registry
- Feature Store Implementation
- Data Pipeline Automation
- Model Monitoring & Drift Detection
- ML Infrastructure Automation
- Kubernetes for ML Workloads
- ML Governance & Security
- Model Retraining Pipelines
- Performance Optimization
- Managed MLOps Services
Perimattic helps organizations reduce deployment time, improve model reliability, automate ML workflows, and manage production AI systems efficiently on AWS. Our solutions support continuous integration, continuous delivery, and continuous monitoring for machine learning at scale.
Highlights
Highlighted by the publisher on AWS Marketplace.
Build automated MLOps pipelines with AWS SageMaker, CI/CD, model versioning, and infrastructure automation.
Deploy, monitor, retrain, and manage machine learning models with scalable, production-ready MLOps solutions.
End-to-end MLOps consulting, implementation, optimization, governance, and managed support for enterprise AI.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

