Products
Products
Products
Netra -Your AI Assistant for Smarter Compliance
Deep tech to uncover hidden risk vectors in your client’s network
Unlock deeper insights, faster investigations, and streamlined workflows
Netra Agent handles routine tasks and guides investigations — helping teams work faster, smarter, and with fewer blind spots.
Netra isn’t just a tool — it’s your trusted AI partner in every investigation.
Entity Investigation: From Manual Pipelines to AI-Powered Intelligence
Compare our legacy vs. next-gen workflow.
From static pipelines to smart decision agents — Netra automates investigative workflows while keeping humans in control. Fast. Scalable. Customisable.
From documents to insights—instantly.
AI-powered OCR that extracts UBOs, ownership %, and risks from messy files.
Fills forms for you. Links back to the source. Learns as it works.
Stop typing. Start investigating.
White Paper
White Paper
White Paper
Transform your business end-to-end
Transform your business end-to-end
Netra adoption can transform your due diligence. Learn
how Netra compares to standard solutions on the market.
Netra adoption can transform your due diligence. Learn
how Netra compares to standard solutions on the market.
Why Netra Wins in AI Assistant Intelligence?
Smarter insights, deeper understanding, faster workflows.
Solution
Netra
Quantexa
Ascent RegTech
WorkFusion
SAS AML
SymphonyAI Sensa
Lucinity
Fenergo CLM
ComplyAdvantage
Trunarrative (LexisNexis)
Hawk AI
Entity Expansion
✓ Contextual NLP
✓ Contextual entity resolution
✓ Regulatory ontology links
◑ Pre-trained models
◑ Rules-based
◑ Risk indicators only
◑ Behavioral entities
◑ Entity profiles
◑ Keyword/entity match
✗ Absent
✗ Absent
Graph Reasoning
✓ Multi-hop analysis
✓ Relationship graphs
◑ Rule graph only
◑ Rules engine
◑ Network graph for risk
✗ Absent
✗ Absent
◑ Risk graph, limited reasoning
✗ No graph reasoning
✗ Absent
✗ Absent
Workflow Assistance
✓ Proactive suggestions
◑ Human-in-loop workflow
◑ Workflow triggers
✓ Workflow automation
✓ Rule-driven alerts
✓ Onboarding workflows
✓ Anomaly-driven triggers
✓ Case collaboration UI
◑ Case management workflows
✓ Case + review workflows
✓ Alert triage workflows
Solution
Netra
Quantexa
Ascent RegTech
WorkFusion
SAS AML
SymphonyAI Sensa
Lucinity
Fenergo CLM
ComplyAdvantage
Trunarrative
Hawk AI
Entity Expansion
✓ Contextual NLP
✓ Contextual resolution
✓ Regulatory ontology links
◑ Pre-trained models
◑ Rules-based
◑ Risk indicators only
◑ Behavioral entities
◑ Entity profiles
◑ Keyword/entity match
✗ Absent
✗ Absent
Graph Reasoning
✓ Multi-hop analysis
✓ Relationship graphs
◑ Rule graph only
◑ Rules engine
⚠ Graph for risk
✗ Absent
✗ Absent
⚠ Limited reasoning
✗ No graph reasoning
✗ Absent
✗ Absent
Workflow Assistance
✓ Proactive suggestions
◑ Human-in-loop workflow
◑ Workflow triggers
✓ Workflow automation
✓ Rule-driven alerts
✓ Onboarding workflows
✓ Anomaly-driven triggers
✓ Case collaboration UI
⚠ Case management
✓ Case + review workflows
✓ Alert triage workflows
With AI-native graph reasoning, workflow assist, and entity expansion, Netra becomes your research analyst, strategist, and operations partner.
Enterprise-level security
Keep your data private.
What features and capabilities are important in Netra technology?
What features and capabilities are important in Netra's RIA?
1. Smart Entity Resolution
Uncover true identities across datasets using advanced matching algorithms.
2. Hidden Connections Detection
Leverage machine learning to reveal and verify concealed relationships.
3. Adaptive Fraud Analytics
Identify anomalies and stay ahead of fraud with evolving behavioral insights.
4. Real-Time Intelligence
Receive instant alerts, generate detailed reports, and connect seamlessly via API.
Webinar
Webinar
Webinar
How can Netra help me?
How can Netra help me?
This on-demand webinar provides a foundational understanding of Netra, covering its powerful capabilities, key application areas, the business impact it delivers, and actionable steps to successfully implement a Netra initiative.
This on-demand webinar provides a foundational understanding of Netra, covering its powerful capabilities, key application areas, the business impact it delivers, and actionable steps to successfully implement a Netra initiative.
Frequently Asked Questions (FAQs)
1. How is the risk score determined, and can it be customised?
Netra calculates risk scores using a dynamic, rules-based engine that draws on both public and private data sources. The initial risk scoring framework was developed in collaboration with neobanks and fund administrators, incorporating their internal methodologies. Key factors include data on individuals (e.g., directors, shareholders), companies, sectors, and jurisdictions. A standout feature is the platform’s flexibility—clients can fully customise the scoring model by defining their own rules and weighting criteria. Netra also provides access to the methodology used for score calculation, ensuring transparency.
2. What data sources does the platform use for screening and information gathering?
Netra connects to over 200 global data providers, combining purchased, public, and proprietary sources. Notable providers include Dun & Bradstreet (corporate data) and Creditreform (financial data). The platform supports multilingual processing (including Arabic, Russian, and Chinese) and can extract information from client websites. It also incorporates client-supplied data via questionnaires or uploaded documents. To ensure accuracy, Netra cross-verifies findings across multiple sources to reduce false positives.
3. What is the value of the visual knowledge graph (ownership tree)?
To add a video to your site, click the “Insert” button and navigate to the “Media” section. Then, drag and drop a video component onto the Canvas.
4. Can the platform screen against internal or client-specific lists?
The visual knowledge graph offers an intuitive map of ownership and relational links for the entity under review. It displays layered connections (e.g., shareholders, directors, affiliates) across levels of ownership or influence. Yes. Netra is fully customisable, allowing clients to upload and integrate internal lists—such as blacklists, watchlists, or competitor databases—via bulk uploads (e.g., Excel). These custom datasets are automatically included in risk reviews and screening processes, enabling compliance with internal policies and operational needs.
5. Is the platform API-enabled for integration with other systems?
Absolutely. Netra provides API access to retrieve risk scores, reports, and data points. This enables seamless integration with internal tools such as Customer Lifecycle Management (CLM) platforms, allowing users to access Netra's functionality without leaving their own workflows.
6. How does the platform use Artificial Intelligence (AI) and Large Language Models (LLMs)?
Netra is exploring AI and LLMs to enhance user experience and efficiency. Applications include: Summarising key findings from gathered data Auto-filling client profiles or questionnaires based on available inputs AI assistants (Agent AI) to guide compliance officers, search documents, or extract insights Smart document review, with AI highlighting relevant sections or extracting structured data The platform is evolving in this area, with users showing varied interest in the depth of AI integration within compliance workflows.
1. How is the risk score determined, and can it be customised?
Netra calculates risk scores using a dynamic, rules-based engine that draws on both public and private data sources. The initial risk scoring framework was developed in collaboration with neobanks and fund administrators, incorporating their internal methodologies. Key factors include data on individuals (e.g., directors, shareholders), companies, sectors, and jurisdictions. A standout feature is the platform’s flexibility—clients can fully customise the scoring model by defining their own rules and weighting criteria. Netra also provides access to the methodology used for score calculation, ensuring transparency.
2. What data sources does the platform use for screening and information gathering?
Netra connects to over 200 global data providers, combining purchased, public, and proprietary sources. Notable providers include Dun & Bradstreet (corporate data) and Creditreform (financial data). The platform supports multilingual processing (including Arabic, Russian, and Chinese) and can extract information from client websites. It also incorporates client-supplied data via questionnaires or uploaded documents. To ensure accuracy, Netra cross-verifies findings across multiple sources to reduce false positives.
3. What is the value of the visual knowledge graph (ownership tree)?
To add a video to your site, click the “Insert” button and navigate to the “Media” section. Then, drag and drop a video component onto the Canvas.
4. Can the platform screen against internal or client-specific lists?
The visual knowledge graph offers an intuitive map of ownership and relational links for the entity under review. It displays layered connections (e.g., shareholders, directors, affiliates) across levels of ownership or influence. Yes. Netra is fully customisable, allowing clients to upload and integrate internal lists—such as blacklists, watchlists, or competitor databases—via bulk uploads (e.g., Excel). These custom datasets are automatically included in risk reviews and screening processes, enabling compliance with internal policies and operational needs.
5. Is the platform API-enabled for integration with other systems?
Absolutely. Netra provides API access to retrieve risk scores, reports, and data points. This enables seamless integration with internal tools such as Customer Lifecycle Management (CLM) platforms, allowing users to access Netra's functionality without leaving their own workflows.
6. How does the platform use Artificial Intelligence (AI) and Large Language Models (LLMs)?
Netra is exploring AI and LLMs to enhance user experience and efficiency. Applications include: Summarising key findings from gathered data Auto-filling client profiles or questionnaires based on available inputs AI assistants (Agent AI) to guide compliance officers, search documents, or extract insights Smart document review, with AI highlighting relevant sections or extracting structured data The platform is evolving in this area, with users showing varied interest in the depth of AI integration within compliance workflows.
1. How is the risk score determined, and can it be customised?
Netra calculates risk scores using a dynamic, rules-based engine that draws on both public and private data sources. The initial risk scoring framework was developed in collaboration with neobanks and fund administrators, incorporating their internal methodologies. Key factors include data on individuals (e.g., directors, shareholders), companies, sectors, and jurisdictions. A standout feature is the platform’s flexibility—clients can fully customise the scoring model by defining their own rules and weighting criteria. Netra also provides access to the methodology used for score calculation, ensuring transparency.
2. What data sources does the platform use for screening and information gathering?
Netra connects to over 200 global data providers, combining purchased, public, and proprietary sources. Notable providers include Dun & Bradstreet (corporate data) and Creditreform (financial data). The platform supports multilingual processing (including Arabic, Russian, and Chinese) and can extract information from client websites. It also incorporates client-supplied data via questionnaires or uploaded documents. To ensure accuracy, Netra cross-verifies findings across multiple sources to reduce false positives.
3. What is the value of the visual knowledge graph (ownership tree)?
To add a video to your site, click the “Insert” button and navigate to the “Media” section. Then, drag and drop a video component onto the Canvas.
4. Can the platform screen against internal or client-specific lists?
The visual knowledge graph offers an intuitive map of ownership and relational links for the entity under review. It displays layered connections (e.g., shareholders, directors, affiliates) across levels of ownership or influence. Yes. Netra is fully customisable, allowing clients to upload and integrate internal lists—such as blacklists, watchlists, or competitor databases—via bulk uploads (e.g., Excel). These custom datasets are automatically included in risk reviews and screening processes, enabling compliance with internal policies and operational needs.
5. Is the platform API-enabled for integration with other systems?
Absolutely. Netra provides API access to retrieve risk scores, reports, and data points. This enables seamless integration with internal tools such as Customer Lifecycle Management (CLM) platforms, allowing users to access Netra's functionality without leaving their own workflows.
6. How does the platform use Artificial Intelligence (AI) and Large Language Models (LLMs)?
Netra is exploring AI and LLMs to enhance user experience and efficiency. Applications include: Summarising key findings from gathered data Auto-filling client profiles or questionnaires based on available inputs AI assistants (Agent AI) to guide compliance officers, search documents, or extract insights Smart document review, with AI highlighting relevant sections or extracting structured data The platform is evolving in this area, with users showing varied interest in the depth of AI integration within compliance workflows.
1. How is the risk score determined, and can it be customised?
Netra calculates risk scores using a dynamic, rules-based engine that draws on both public and private data sources. The initial risk scoring framework was developed in collaboration with neobanks and fund administrators, incorporating their internal methodologies. Key factors include data on individuals (e.g., directors, shareholders), companies, sectors, and jurisdictions. A standout feature is the platform’s flexibility—clients can fully customise the scoring model by defining their own rules and weighting criteria. Netra also provides access to the methodology used for score calculation, ensuring transparency.
2. What data sources does the platform use for screening and information gathering?
Netra connects to over 200 global data providers, combining purchased, public, and proprietary sources. Notable providers include Dun & Bradstreet (corporate data) and Creditreform (financial data). The platform supports multilingual processing (including Arabic, Russian, and Chinese) and can extract information from client websites. It also incorporates client-supplied data via questionnaires or uploaded documents. To ensure accuracy, Netra cross-verifies findings across multiple sources to reduce false positives.
3. What is the value of the visual knowledge graph (ownership tree)?
To add a video to your site, click the “Insert” button and navigate to the “Media” section. Then, drag and drop a video component onto the Canvas.
4. Can the platform screen against internal or client-specific lists?
The visual knowledge graph offers an intuitive map of ownership and relational links for the entity under review. It displays layered connections (e.g., shareholders, directors, affiliates) across levels of ownership or influence. Yes. Netra is fully customisable, allowing clients to upload and integrate internal lists—such as blacklists, watchlists, or competitor databases—via bulk uploads (e.g., Excel). These custom datasets are automatically included in risk reviews and screening processes, enabling compliance with internal policies and operational needs.
5. Is the platform API-enabled for integration with other systems?
Absolutely. Netra provides API access to retrieve risk scores, reports, and data points. This enables seamless integration with internal tools such as Customer Lifecycle Management (CLM) platforms, allowing users to access Netra's functionality without leaving their own workflows.
6. How does the platform use Artificial Intelligence (AI) and Large Language Models (LLMs)?
Netra is exploring AI and LLMs to enhance user experience and efficiency. Applications include: Summarising key findings from gathered data Auto-filling client profiles or questionnaires based on available inputs AI assistants (Agent AI) to guide compliance officers, search documents, or extract insights Smart document review, with AI highlighting relevant sections or extracting structured data The platform is evolving in this area, with users showing varied interest in the depth of AI integration within compliance workflows.
Browse our resources
© 2024 Netra Technologies Inc.
All rights reserved.
© 2024 Netra Technologies Inc.
All rights reserved.
© 2024 Netra Technologies Inc.
All rights reserved.
© 2024 Netra Technologies Inc.
All rights reserved.