The Proximal Platform

Enterprise AI made simple.

A comprehensive suite of AI infrastructure: data ingestion, knowledge graph, and AIOps — built for enterprise security, scalability, and sovereignty.

Data Ingestion

Transform raw data into AI-ready formats with 250+ connectors, real-time sync, and intelligent normalization.

250+Connectors
Real-timeLive sync
VectorAI-ready
Any sourceNormalized
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Knowledge Graph

Build intelligent relationships between data points with conversational interfaces and multi-domain intelligence.

EntitiesStructured
RelationsConnected
TemporalTime-based
AttributesRich metadata
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AIOps

Deploy and manage ML models with Kubernetes-based infrastructure, auto-scaling, and comprehensive monitoring.

JupyterDevelopment
Batch jobsTraining
Auto-scaleDeployment
RegistryManagement
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Why the Proximal platform

Built for enterprise security, scalability, and sovereignty.

⛨

Enterprise Security

Role-based permissions, data governance, and compliance built in — never bolted on.

◎

Multi-Cloud Ready

Deploy on any cloud or on-premises with no vendor lock-in. Same bundle, same experience.

⚡

AI-First Design

Purpose-built for modern AI workloads and LLM integration. Not a retrofitted database stack.

Layer 01

Data Ingestion

Multi-source data integration and AI-ready formatting. Ingests, enriches, and operationalizes your enterprise data into formats built for RAG, LLMs, search, and analytics.

250+
Connectors
Any data source, one click. Jira, Confluence, SharePoint, OneDrive, Slack, and more.
Real-time
Live sync
Streaming updates keep your knowledge base current as the underlying data changes.
Normalized
Consistent format
Schema harmonization across heterogeneous sources. Metadata, identity and activity included.
AI-Ready
Vector-optimized
Output is embedding- and retrieval-ready for downstream RAG and agent workloads.
Layer 02

Knowledge Graph

Intelligent data relationships and contextual understanding. Build a queryable graph of entities, relations, and temporal context across every enterprise system.

Entities
Structured types
First-class entity definitions across your domain. People, orgs, products, accounts, tickets.
Relations
Connected insights
Explicit relationships unlock the questions a flat vector store can’t answer.
Temporal
Time-based analysis
Reason about state over time. “What changed” questions become tractable.
Attributes
Rich metadata
Permissions, provenance and confidence travel with every node and edge.
Layer 03

AIOps

Machine learning operations and model deployment. Develop, train, deploy and manage models on Kubernetes-based infrastructure with auto-scaling and full observability.

Jupyter
Development
Jupyter and VS Code environments with direct access to your platform data and models.
Batch jobs
Training
Distributed training jobs with logging and checkpointing. Resume from where you left off.
Auto-scale
Deployment
API endpoints with auto-scaling. Spin to zero, burst on demand.
Registry
Management
Model registry with versioning, lineage, and governance. Promote with confidence.
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