Turn messy data into AI-ready graph embeddings

Turn messy data into AI-ready graph embeddings

Turn messy data into AI-ready graph embeddings

Enabe data teams to focus on business problems instead of data cleaning and pipeline engineering

Enabe data teams to focus on business problems instead of data cleaning and pipeline engineering

Enabe data teams to focus on business problems instead of data cleaning and pipeline engineering

On-prem data ingestion & transformation platform

On-prem data ingestion & transformation platform

On-prem data ingestion & transformation platform

Empower your data team with LLM-driven graph embeddings from unstructured and structured data. A privacy-by-design and enterprise-ready data solution

Empower your data team with LLM-driven graph embeddings from unstructured and structured data. A privacy-by-design and enterprise-ready data solution

Ingesting weird files

Ingesting weird files

Ingesting weird files

Audio, PDF, Images, CSV, Excel, Geo-Spatial Data. The platform ingests all unstructured and semi-structured data you can think of

Audio, PDF, Images, CSV, Excel, Geo-Spatial Data. The platform ingests all unstructured and semi-structured data you can think of

Audio, PDF, Images, CSV, Excel, Geo-Spatial Data. The platform ingests all unstructured and semi-structured data you can think of

Enabling connectors

Enabling connectors

Enabling connectors

Directly connect your databases, data warehouse, data lakes, structured data plus any unstrucutred data sources your enterprise relies upon on

Directly connect your databases, data warehouse, data lakes, structured data plus any unstrucutred data sources your enterprise relies upon on

Directly connect your databases, data warehouse, data lakes, structured data plus any unstrucutred data sources your enterprise relies upon on

Get graph embeddings

Get graph embeddings

Get graph embeddings

We use LLMs and Neuro-Symbolic Algorithms to turn all data into hierarchical directed graphs and embed them

We use LLMs and Neuro-Symbolic Algorithms to turn all data into hierarchical directed graphs and embed them

We use LLMs and Neuro-Symbolic Algorithms to turn all data into hierarchical directed graphs and embed them

Business Cases

Business Cases

Business Cases

Reduce churn rate

Reduce churn rate

Reduce churn rate

Process high-volume data in real-time: emails, phone calls, and tickets are sentiment-labeled, key information are extracted, mapping hierarchy and direction

Process high-volume data in real-time: emails, phone calls, and tickets are sentiment-labeled, key information are extracted, mapping hierarchy and direction

Process high-volume data in real-time: emails, phone calls, and tickets are sentiment-labeled, key information are extracted, mapping hierarchy and direction

Emails

Emails

Emails

Calls

Calls

Calls

Databases

Databases

Databases

EmbedGraph then turns the graphs into embeddings and instantly gives you churn predictions based on graph theory and ML algorithms

EmbedGraph then turns the graphs into embeddings and instantly gives you churn predictions based on graph theory and ML algorithms

Contracts review & comparison

Contracts review & comparison

Contracts review & comparison

Extract clauses from millions of contracts. Distill hiearchical symbolic knowledge concerning core terms. EmbedGraph makes it AI-ready and can automate or speed up contracts comparison and review

Extract clauses from millions of contracts. Distill hiearchical symbolic knowledge concerning core terms. EmbedGraph makes it AI-ready and can automate or speed up contracts comparison and review

Extract clauses from millions of contracts. Distill hiearchical symbolic knowledge concerning core terms. EmbedGraph makes it AI-ready and can automate or speed up contracts comparison and review

Deductible

Deductible

The insured shall bear the first $1,000 of each and every claim made under this policy.

The insured shall bear the first $1,000 of each and every claim made under this policy.

Cancellation

Cancellation

This policy may be canceled by the insurer by providing 30 days' written notice to the insured. The insured may cancel this policy at any time by providing written notice to the insurer. In the event of cancellation, the insurer shall refund the unearned premium on a pro-rata basis

This policy may be canceled by the insurer by providing 30 days' written notice to the insured. The insured may cancel this policy at any time by providing written notice to the insurer. In the event of cancellation, the insurer shall refund the unearned premium on a pro-rata basis

Subrogation

Subrogation

Upon payment of any claim under this policy, the insurer shall be subrogated to all rights of recovery of the insured against any third party, to the extent of such payment, and the insured shall execute all papers required and shall cooperate with the insurer to secure such rights.

Upon payment of any claim under this policy, the insurer shall be subrogated to all rights of recovery of the insured against any third party, to the extent of such payment, and the insured shall execute all papers required and shall cooperate with the insurer to secure such rights.

Limit of Liability

Limit of Liability

The insurer's liability under this policy shall not exceed $500,000 for any single occurrence or in aggregate during the policy period.

The insurer's liability under this policy shall not exceed $500,000 for any single occurrence or in aggregate during the policy period.

Co-Insurance

Co-Insurance

In the event of a claim, the insured shall be responsible for 20% of the total loss, with the insurer covering the remaining 80%.

In the event of a claim, the insured shall be responsible for 20% of the total loss, with the insurer covering the remaining 80%.

Exclusions

Exclusions

The insurer shall not be liable for any loss or damage caused by war, invasion, acts of foreign enemies, hostilities (whether war be declared or not), civil war, rebellion, revolution, insurrection, or military or usurped power

The insurer shall not be liable for any loss or damage caused by war, invasion, acts of foreign enemies, hostilities (whether war be declared or not), civil war, rebellion, revolution, insurrection, or military or usurped power

NPL collection

NPL collection

NPL collection

Get tailored strategy to manage non-perfoming-loans with real estate underlying assets. Turn real estate appraisal pdfs into meaningful insights, augmenting them with both market data and your own data lake information regarding NPL and real estate auctions

Get tailored strategy to manage non-perfoming-loans with real estate underlying assets. Turn real estate appraisal pdfs into meaningful insights, augmenting them with both market data and your own data lake information regarding NPL and real estate auctions

Get tailored strategy to manage non-perfoming-loans with real estate underlying assets. Turn real estate appraisal pdfs into meaningful insights, augmenting them with both market data and your own data lake information regarding NPL and real estate auctions

Energy Class: A+

Energy Class: A+

appraisal pdf

In 2023, solar panel system and external insulation were added

Recently renovated

Recently renovated

appraisal pdf

In 2022, the complete renovation of the building was completed

Property Valuation

Property Valuation

market data

€ 2,400,000

€ 2,400,000

Auction

Auction

database

The asset could be sold up to a 70% discount in the auction

ReoCo for Bidding

ReoCo for Bidding

actionable insight

Use a ReoCo to buy and resell the asset or to increase auction final sale price through bidding

Other business cases

AML & fraud detection

AML & fraud detection

AML & fraud detection

Automate fraud detection and develop AML patterns

Identify root causes hidden in data from calls and emails

Automate fraud detection and develop AML patterns

Product recommendation

Recommend Products

Product recommendation

Increase lifetime-value by recommending products

Increase lifetime-value by recommending products

Increase lifetime-value by recommending products

Competitors analysis

Competitors analysis

Competitors analysis

Analyze websites and balance sheets at scale

Analyze websites and balance sheets at scale

Analyze websites and balance sheets at scale

Analyze supply chain events

Analyze supply chain events

Analyze supply chain events

Real-time analysis of supply chain events

Real-time analysis of supply chain events

Real-time analysis of supply chain events

Energy management systems

Energy management systems

Energy management systems

Real-time energy supply and demand balacing

Balance energy supply and demand

Real-time energy supply and demand balacing

Optimize network resources

Optimize network resources

Optimize network resources

Cloud, Network and IT resources optimization

Cloud, Network and IT resources optimization

Cloud, Network and IT resources optimization

Why graphs?

Why graphs?

Why graphs?

Graph embeddings are where neural networks and hierarchical symbolic knowledge meet

Graph embeddings are where neural networks and hierarchical symbolic knowledge meet

Graph embeddings are where neural networks and hierarchical symbolic knowledge meet

Towards determinism

Towards determinism

Towards determinism

Knowledge graphs and schemas increase reliability, robustness, and explainability

Knowledge graphs and schemas increase reliability, robustness, and explainability

Knowledge graphs and schemas increase reliability, robustness, and explainability

Vector embeddings

Vector embeddings

Vector embeddings

Multi-dimensional tensors are ready to be used to train or fine-tune ML models

Multi-dimensional tensors are ready to be used to train or fine-tune ML models

Multi-dimensional tensors are ready to be used to train or fine-tune ML models

Features

Features

Universal data ingestion

Universal data ingestion

Supports diverse data formats including text, images, audio, video, and more

Support diverse data formats including text, images, audio, video, and more

Supports diverse data formats including text, images, audio, video, and more

Data sources integration

Data sources integration

Integrates 300+ data sources and runs on top of your existing data warehouse

Integrate 300+ data sources and runs on top of your existing data warehouse

Integrates 300+ data sources and runs on top of your existing data warehouse

Natural language schema

Natural language schema

Uses natural language to define schema. Embedgraph takes care of the rest, ensuring data are cleaned, processed, and adhere to it

Use Natural Language to define schema. dgraph takes care of the rest, ensuring data are cleaned, processed, and adhere to it

Uses natural language to define schema. Embedgraph takes care of the rest, ensuring data are cleaned, processed, and adhere to it

AI-driven data transformation

AI-driven data transformation

Combines large language models, computer vision and a query processor to transform messy data sources

Combines large language models, computer vision and a query processor to transform messy data sources

Combines large language models, computer vision and a query processor to transform messy data sources

Graph databases

Graph databases

Graph databases reveal complex data relationships, providing deep insights into interconnected data points

Graph databases reveal complex data relationships, providing deep insights into interconnected data points

Graph databases reveal complex data relationships, providing deep insights into interconnected data points

Pattern recognition

Pattern recognition

Enables advanced pattern recognition, detecting intricate connections that traditional databases may miss

Enables advanced pattern recognition, detecting intricate connections that traditional databases may miss

Enables advanced pattern recognition, detecting intricate connections that traditional databases may miss

Dynamic querying

Dynamic querying

Facilitates dynamic querying and data exploration, ensuring quick access to meaningful insights

Facilitates dynamic querying and data exploration, ensuring quick access to meaningful insights

Facilitates dynamic querying and data exploration, ensuring quick access to meaningful insights

Feature extraction

Feature extraction

Leverages graph technology to identify and extract features for training and optimize ML models

Leverages graph technology to identify and extract features for training and optimize ML models

Leverages graph technology to identify and extract features for training and optimize ML models

Let's talk

Let's talk

Let's talk

Tell us who are you, what you are looking for and when do you prefer to be contacted

Tell us who are you, what you are looking for and when do you prefer to be contacted

Frequently asked questions

Frequently Asked Questions

Can I use my own fine-tuned LLM?

Can I use my own fine-tuned LLM?

Yes, we are LLM agnostic, supporting open-source, commercial LLMs and on-prem fine-tuned LLMs

Do I have graph databases limitation?

Do I have graph databases limitation?

We turn unstructured data into graph embeddings. We do that using your preferred graph database

Do you adhere to EU Data governance standards?

Do you adhere to EU Data governance standards?

EmbedGraph is privacy-compliant by design and we constanly ensure to keep up with both privacy and data EU guidelines

© EmbedGraph | 2024

© EmbedGraph| 2024