Intelligent Support
Analyzes data, understands user behavior to anticipate needs and resolve issues proactively, and optimize service delivery.
Private Documents
Secures, keeps, and protects sensitive information, maintaining trust, and complying with regulations.
Vector Database
Efficiently handles spatial queries, indexing, and analysis of vector data for various purposes, including mapping, navigation, and spatial analytics.
Document Search
Locates and retrieves relevant information quickly and efficiently for various purposes, such as research, reference, or decision-making.
Intelligent Support
Analyzes data, understands user behavior to anticipate needs and resolve issues proactively, and optimize service delivery.
Private Documents
Secures, keeps, and protects sensitive information, maintaining trust, and complying with regulations.
Vector Database
Efficiently handles spatial queries, indexing, and analysis of vector data for various purposes, including mapping, navigation, and spatial analytics.
Document Search
Locates and retrieves relevant information quickly and efficiently for various purposes, such as research, reference, or decision-making.
Internal proprietary data sources are the key advantage to training an enterprise RAG and LLM. Generate allows for easy connections to common file and database systems. Resultant LLM interactions will utilize connected data as grounded context for generations, while staying completely confidential within the organization.
Data sources can encompass a wide array of multi-modal documentation, including text, images, data tables, charts, etc. in almost all common document formats. Documents can be large, including +300 page contracts or large bodies of technial documentation.
Text can be rewritten, translated, or apply custom rules to your textual data, based on the material that has been uploaded to the private LLM. Data can be augmented and extended within the tight parameters of the organization's data guardrails and specific term definitions.
For example: the word "sustainability" can mean very different things to a university, an oil company, or a farming commune. Generate can be fine-tuned to match that specific nuanced definition for an organization.
Generate is deployed at major call centers globally. With the ability to instantly analyse inbound messages, prepare summaries, and call up any relevant customer records and corporate policies, Generate can prepare a specific response. This response can even be tailored to reflect the company's own brand style: informal, formal, happy, etc.
Generate is deployable locally to the organization and can be accessed by hundreds of CSRs simultaneously.
Generate accelerates staff training: when the LLM is trained on all relevant technical material, training documents, and organizational policies, Generate can serve as an instant tutor and reference guide for any staff member or technician.
Generate is able to answer common language questions across any number of languages, accelerating globalization and easing the operational costs of internationalization and localization.
Generate can consume extremely large documents (over 300 pages) and has the ability to leverage RAG methods to produce summaries, document comparisons, all with specific footnoted references to any source document included in the generated answer.
This large document reference source capability positions the application as an excelent tool for business analyst teams. Generate can source:
Generate and the private LLM capabilities can be hosted locally with secure connections and direct integrations with existing legacy systems.
Hosted within your data center, Generate can be source trained directly with:
Internal proprietary data sources are the key advantage to training an enterprise RAG and LLM. Generate allows for easy connections to common file and database systems. Resultant LLM interactions will utilize connected data as grounded context for generations, while staying completely confidential within the organization.
Data sources can encompass a wide array of multi-modal documentation, including text, images, data tables, charts, etc. in almost all common document formats. Documents can be large, including +300 page contracts or large bodies of technial documentation.
Text can be rewritten, translated, or apply custom rules to your textual data, based on the material that has been uploaded to the private LLM. Data can be augmented and extended within the tight parameters of the organization's data guardrails and specific term definitions.
For example: the word "sustainability" can mean very different things to a university, an oil company, or a farming commune. Generate can be fine-tuned to match that specific nuanced definition for an organization.
Generate is deployed at major call centers globally. With the ability to instantly analyse inbound messages, prepare summaries, and call up any relevant customer records and corporate policies, Generate can prepare a specific response. This response can even be tailored to reflect the company's own brand style: informal, formal, happy, etc.
Generate is deployable locally to the organization and can be accessed by hundreds of CSRs simultaneously.
Generate accelerates staff training: when the LLM is trained on all relevant technical material, training documents, and organizational policies, Generate can serve as an instant tutor and reference guide for any staff member or technician.
Generate is able to answer common language questions across any number of languages, accelerating globalization and easing the operational costs of internationalization and localization.
Generate can consume extremely large documents (over 300 pages) and has the ability to leverage RAG methods to produce summaries, document comparisons, all with specific footnoted references to any source document included in the generated answer.
This large document reference source capability positions the application as an excelent tool for business analyst teams. Generate can source:
Generate and the private LLM capabilities can be hosted locally with secure connections and direct integrations with existing legacy systems.
Hosted within your data center, Generate can be source trained directly with:
Iterate Generate AI Manager Platform - System Requirements | |||
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Deployment | Single Executable for Windows | Intel AI PC | |
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Hardware Compatibility | Intel AI PC | CPU+iGPU (Intel) | CPU+GPU+NPU (Meteor Lake) |
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Ram: 16GB | |
Markets Served | Consumer | Small & Medium Business | Existing Intel Customers |
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