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Graph Analytics

Amie

Next-generation graph-based notebook for visualizing and exploring complex data relationships

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Category
Software
Ideal For
Data Scientists
Deployment
Cloud
Integrations
None+ Apps
Security
Standard cloud security practices with role-based access controls
API Access
Yes - API access for data integration and programmatic workflows

About Amie

Amie is a graph-based notebook platform designed specifically for data scientists and researchers who need to work with complex data relationships and network structures. It combines the familiar notebook interface with powerful graph analytics capabilities, enabling users to visualize, explore, and derive actionable insights from interconnected data in real time. The platform addresses the gap between traditional notebook environments and graph-native analytics, providing an intuitive workspace where users can seamlessly transition between exploratory analysis and production workflows. With AiDOOS marketplace integration, Amie offers enhanced deployment flexibility, enabling teams to scale graph analytics across distributed environments while maintaining governance and security standards. The platform supports collaborative research, allowing multiple users to work simultaneously on graph-based analyses with version control and audit trails, making it ideal for enterprise analytics teams and research institutions.

Challenges It Solves

  • Data scientists struggle to visualize and analyze complex relationships within large datasets
  • Traditional notebooks lack native graph analytics capabilities for network analysis
  • Teams face difficulty collaborating on graph-based research with version control
  • Limited ability to explore multi-dimensional data relationships in real time
  • Inefficient workflows switching between notebooks and separate graph analysis tools

Proven Results

64
Faster insight discovery from complex data relationships
48
Reduced time spent switching between analytics tools
35
Improved collaboration and reproducibility in research teams

Key Features

Core capabilities at a glance

Intuitive Graph Visualization

Interactive visual exploration of data relationships

Real-time rendering of millions of nodes and edges

Native Graph Querying

Powerful graph query language built into notebooks

Execute complex relationship queries in seconds

Collaborative Workspace

Multi-user research environment with version control

Teams collaborate seamlessly with full audit trails

Graph Analytics Algorithms

Pre-built algorithms for network analysis and pattern detection

Community detection, centrality analysis, path finding included

Data Import & Integration

Connect to multiple data sources and formats

Support for CSV, JSON, SQL databases, and APIs

Export & Sharing

Share insights and visualizations with stakeholders

Multiple export formats for reports and presentations

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Real-World Use Cases

See how organizations drive results

Social Network Analysis
Researchers analyze user connections, influence patterns, and community structures within social networks to understand engagement and information flow.
72
Identify key influencers and community structures
Knowledge Graph Exploration
Organizations build and explore knowledge graphs to map relationships between concepts, entities, and data points for enhanced discovery and recommendations.
58
Accelerate knowledge discovery across data silos
Fraud Detection Networks
Financial institutions analyze transaction networks and entity relationships to detect anomalies, fraud rings, and suspicious behavioral patterns.
81
Detect fraudulent networks 3x faster
Scientific Research & Citation Networks
Researchers explore citation graphs and research relationships to track knowledge evolution and identify emerging research trends.
64
Map research relationships and citations visually
Supply Chain Optimization
Organizations visualize and analyze supplier networks, dependencies, and logistics relationships to optimize operations and identify bottlenecks.
52
Optimize supply chain visibility and resilience

Integrations

Seamlessly connect with your tech ecosystem

P

Python & Jupyter

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Native integration with Python environments and Jupyter notebooks for familiar workflow

P

PostgreSQL & Graph Databases

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Direct connectivity to Neo4j, PostgreSQL, and other relational/graph databases

A

Apache Spark

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Integration with Spark for distributed graph processing and large-scale analytics

A

AWS & Cloud Platforms

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Deployment on AWS, Azure, and GCP with native cloud integrations

R

REST APIs

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Connect to custom APIs and data sources via REST endpoints

G

Git & Version Control

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Built-in version control and Git integration for research reproducibility

S

Slack & Communication Tools

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Share findings and notifications with team members via Slack integration

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Amie

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit
Get a delivery plan for Amie What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Amie

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

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Alternatives & Comparisons

Find the right fit for your needs

Capability Amie Voiser Cohesive AI Google Cloud Vision…
Customization Excellent Good Good Excellent
Ease of Use Excellent Excellent Excellent Excellent
Enterprise Features Good Good Good Excellent
Pricing Fair Fair Fair Good
Integration Ecosystem Good Good Good Excellent
Mobile Experience Fair Good Fair Good
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Excellent Excellent Excellent

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Frequently Asked Questions

What types of graphs can I analyze with Amie?
Amie supports any graph structure including social networks, knowledge graphs, transaction networks, supply chains, citation networks, and custom relationship graphs. You can analyze billions of nodes and relationships at scale.
How does Amie differ from traditional data notebooks?
Unlike standard notebooks, Amie is graph-native, meaning graph operations, visualizations, and algorithms are built into the core environment. This eliminates switching between tools and provides optimized performance for relationship analysis.
Can multiple team members collaborate on the same graph analysis?
Yes, Amie provides real-time collaboration with version control, allowing teams to work simultaneously on graph analyses. All changes are tracked with full audit trails for reproducibility and governance.
What data sources can I connect to Amie?
Amie integrates with SQL databases, graph databases (Neo4j, etc.), CSV/JSON files, APIs, and cloud data warehouses. Through AiDOOS marketplace, you can access pre-built connectors for common enterprise data sources.
Is Amie suitable for production analytics pipelines?
Yes, Amie supports both exploratory and production workflows with scheduling, API access, and deployment options. AiDOOS marketplace integration enables enterprise-grade scaling and governance.
What analytics algorithms are available?
Amie includes community detection, centrality measures, pathfinding, similarity analysis, and custom algorithm development. You can also integrate Python-based analytics libraries directly.

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