Invergent

BigConnectAI

Models and services for text, entities and decisions

BigConnect AI/Enrichment/press-release-0412.txtEnriched
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On 14 March Northgate LogisticsORG signed a ten year lease for a warehouse in BrașovLOC. Chief executive Ana PopescuPER said the site will open in SeptemberDATE and employ 300 people.

Ana PopesculeadsNorthgate Logisticslocated inBrașov
  • Entity extraction0.974 entities
  • Relationship extraction0.93Ana Popescu leads Northgate Logistics
  • Sentiment0.88Positive
  • Classification0.91Real estate, expansion
  • Runs on premises. Fine tuned for Romanian.
01

Generative AI

Use generative AI embedded across the entire technology stack with your data to provide immediate business value.

02

The models

SOTA models for specific use cases and data augmentation

Natural Language Processing

  • Entity extraction
  • Relationship extraction
  • Text classification
  • Sentiment analysis
  • Question Answering
  • Sentence Similarity
  • Translation
  • Table Question Answering
  • Text-to-SQL
  • Embeddings

Computer vision

  • Image captioning
  • Object Detection
  • Image segmentation
  • Visual Question Answering
  • OCR
  • Face detection
  • Face recognition
  • Image classification
  • Video classification

Audio

  • Speech-to-Text
  • Text-to-Speech
  • Audio-to-Audio
  • Audio Classification
  • Voice Activity Detection
  • Voice Transformation
03

Runs where your data is allowed to be.

  • 01

    Cloud or on-premise

    All our models, including LLMs can be run in the cloud or on-premise for privacy concerns. On-premise models can benefit from quantization techniques to reduce computing requirements if needed.

  • 02

    Multilanguage

    All our models can be fine-tuned to support any language.

  • 03

    Multi-use

    All our models can be fine-tuned to support any use case, given sufficient training data.

04

The services

  • Pre-train and fine-tune multimodal Generative AI models to match your use-case on enterprise data.
  • Generate synthetic data sets for model fine-tuning based on private data.
  • Improve the accuracy of existing AI/ML systems.
  • Advice on hardware requirements and cloud infrastructures.

One semantic data lake, from the first record to the last report.

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