Transform Your Enterprise Data Into Intelligent Knowledge

Build powerful knowledge graphs with GenAI-powered insights, conversational interfaces, and real-time relationship mapping that turns your data into actionable intelligence.

The Enterprise Data Challenge

Enterprise data exists in disconnected systems, making it impossible to understand relationships, predict outcomes, or generate actionable insights. Traditional approaches are reactive, not predictive.

Data Silos & Fragmentation

84% of executives suffer from fragmented information across systems, preventing unified business intelligence and decision-making.

Slow Insight Generation

70% of data scientists time spent on data prep instead of analysis, delaying critical business insights and competitive advantages.

Reactive Problem Solving

80% longer incident resolution without graph analysis, leading to costly downtime and missed business opportunities.

Resource Inefficiency

Suboptimal resource allocation and limited cross-domain linking prevents organizations from maximizing their data investments.

Comprehensive Platform Features

Enterprise-scale knowledge graph capabilities designed for modern AI applications

Conversational Interface

Natural language interaction with complex data relationships

Chat-based queries
Multi-modal understanding
Context-aware responses

Entity Relationship Mapping

Visual representation and interactive navigation of data connections

Interactive diagrams
Schema visualization
Metadata management

Multi-Tenant Architecture

Secure, scalable platform supporting multiple organizations

Data isolation
Custom configurations
Flexible deployment

Role-Based Access Control

Comprehensive permission system with data-level security

Granular permissions
Category-based access
API key management

Integration Ecosystem

Connect with Neo4j, Deeplake, Google Drive, Airbyte, and more

Multiple connectors
Real-time sync
Custom integrations

Advanced Analytics

Real-time dashboards with predictive insights and alerts

Custom dashboards
Predictive models
Automated alerts

MLOps Pipeline

End-to-end machine learning operations for knowledge graphs

Model versioning
A/B testing
Performance monitoring

API-First Design

Comprehensive REST and GraphQL APIs for seamless integration

RESTful endpoints
GraphQL queries
Webhook support

Proven Results Across Industries

Real-world implementations delivering measurable ROI and operational improvements.

Across software, finance, legal, and enterprise operations β€”Proximal powers AI transformation. From predictive project analytics to automated underwriting, businesses achieve speed, accuracy, and scale like never before.

+340%

Average ROI in 8 months

95%

Accuracy in sales automation

10x

Faster legal research

87-98%

Accuracy in claims processing

πŸ“ŠSoftware Development

Project Management

6–12 weeks early risk detection

πŸ›‘οΈInsurance

Insurance Underwriting

45 days β†’ 2 hours

πŸ“ˆEnterprise Services

Sales & Marketing

Quote speed: 3.4h vs 5.2d

⚑Enterprise-wide

Multi-Domain Intelligence

340% ROI in 8 months

Three-Layer Unified Architecture

Consistent patterns, domain-specific intelligence β€” connected through data, models, and reasoning.

Knowledge Graph Data Layer

Entity-relationship models with cross-domain connections and real-time sync.

Multi-Modal LLM Layer

Domain-tuned foundation models with text, code, and visual modalities.

GenAI Agent Layer

Task-specific intelligence and contextual reasoning across enterprise domains.

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