Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DueDel is a next-generation AI risk intelligence platform designed to streamline due diligence by automating research and surfacing early warning signals across financial, legal, and reputational domains. Powered by advanced NLP and sentiment analysis, the system identifies subtle risk patterns that traditional manual research often misses. Users can run comprehensive scans by entering their target entity and keywords, after which DueDel generates consolidated reports featuring red flags, stakeholder mapping, litigation traces, and tone analytics. Executive summaries turn complex findings into actionable insights, allowing leadership teams to make confident decisions more quickly. DueDel reduces manual research time by up to 80%, enabling analysts to focus on strategy rather than data gathering. It integrates easily with existing workflows, making it suitable for investment firms, compliance departments, and risk management teams. The platform is backed by founders with deep expertise in AI safety, LLM research, and financial risk governance. Award recognition and partnerships with major financial institutions highlight its credibility in transforming modern risk intelligence.

Description

NVIDIA NeMo Guardrails serves as an open-source toolkit aimed at improving the safety, security, and compliance of conversational applications powered by large language models. This toolkit empowers developers to establish, coordinate, and enforce various AI guardrails, thereby ensuring that interactions with generative AI remain precise, suitable, and relevant. Utilizing Colang, a dedicated language for crafting adaptable dialogue flows, it integrates effortlessly with renowned AI development frameworks such as LangChain and LlamaIndex. NeMo Guardrails provides a range of functionalities, including content safety measures, topic regulation, detection of personally identifiable information, enforcement of retrieval-augmented generation, and prevention of jailbreak scenarios. Furthermore, the newly launched NeMo Guardrails microservice streamlines rail orchestration, offering API-based interaction along with tools that facilitate improved management and maintenance of guardrails. This advancement signifies a critical step toward more responsible AI deployment in conversational contexts.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

LangChain
Llama 3.1
LlamaIndex
NVIDIA NIM

Integrations

LangChain
Llama 3.1
LlamaIndex
NVIDIA NIM

Pricing Details

$0
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DueDel

Country

India

Website

duedel.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/nemo-guardrails

Product Features

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

Product Features

Alternatives

Alternatives

LSEG Due Diligence Centre Reviews

LSEG Due Diligence Centre

LSEG Data & Analytics