positive
3 days agoMeshDefend closes $2.3M to build an AI-native data operating system
MeshDefend raised $2.3 million to develop an AI-native data operating system designed to unify data ingestion, governance, and model-ready pipelines for enterprise use. The funding will accelerate product engineering, expand API integrations with cloud providers, and broaden go-to-market efforts for data-intensive verticals such as finance, cybersecurity, and healthcare. MeshDefend’s platform emphasizes low-latency feature stores, automated compliance controls, and scalable model observability to reduce time-to-production for ML teams. Early customers reported faster model iteration cycles and improved data lineage. The startup plans to use the capital to grow engineering and customer success teams while piloting enterprise deployments.
Explore:Mutual Fund Tools
positive
3 days agoMeshDefend closes $2.3M to build an AI-native data operating system
MeshDefend raised $2.3 million to develop an AI-native data operating system designed to unify data ingestion, governance, and model-ready pipelines for enterprise use. The funding will accelerate product engineering, expand API integrations with cloud providers, and broaden go-to-market efforts for data-intensive verticals such as finance, cybersecurity, and healthcare. MeshDefend’s platform emphasizes low-latency feature stores, automated compliance controls, and scalable model observability to reduce time-to-production for ML teams. Early customers reported faster model iteration cycles and improved data lineage. The startup plans to use the capital to grow engineering and customer success teams while piloting enterprise deployments.
Explore:Mutual Fund Tools
4 days ago
1 min read
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MeshDefend raises $2.3M to build an AI-native data OS with feature stores, compliance automation, and model observability for enterprise ML pipelines.
MeshDefend raised $2.3 million to develop an AI-native data operating system designed to unify data ingestion, governance, and model-ready pipelines for enterprise use. The funding will accelerate product engineering, expand API integrations with cloud providers, and broaden go-to-market efforts for data-intensive verticals such as finance, cybersecurity, and healthcare. MeshDefend’s platform emphasizes low-latency feature stores, automated compliance controls, and scalable model observability to reduce time-to-production for ML teams. Early customers reported faster model iteration cycles and improved data lineage. The startup plans to use the capital to grow engineering and customer success teams while piloting enterprise deployments.
MeshDefend raised $2.3 million to develop an AI-native data operating system designed to unify data ingestion, governance, and model-ready pipelines for enterprise use. The funding will accelerate product engineering, expand API integrations with cloud providers, and broaden go-to-market efforts for data-intensive verticals such as finance, cybersecurity, and healthcare. MeshDefend’s platform emphasizes low-latency feature stores, automated compliance controls, and scalable model observability to reduce time-to-production for ML teams. Early customers reported faster model iteration cycles and improved data lineage. The startup plans to use the capital to grow engineering and customer success teams while piloting enterprise deployments.
Companies:
MeshDefend
Tags:
startups
AI
startups
AI
data
MLops
infrastructure
Nov 6, 2025 • 09:52 IST