Gencore AI enables businesses to build safe, enterprise-grade AI systems, copilots, and agents within minutes by leveraging proprietary data across various systems and applications while utilizing any AI model from Amazon Bedrock and Amazon SageMaker.
Gencore AI enables businesses to easily and quickly build safe, enterprise-grade generative artificial intelligence (GenAI) systems, copilots and AI agents. It accelerates GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.
You can utilize any foundation model available in Amazon Bedrock and Amazon SageMaker, including Amazon Titan, Anthropic Claude, Cohere, Meta Llama 2, AI21 Labs, Stability AI, and more.
Organizations can use Gencore AI to quickly and easily build end-to-end safe AI systems, or to provide key building blocks of GenAI projects. Key capabilities include:
Build Safe Enterprise AI Copilots
Create AI copilots and knowledge systems by combining data from multiple systems in minutes. Automatic enterprise controls, AI usage monitoring, and full provenance tracking ensure safety and transparency.
Safely Sync Data to Vector Databases
Securely ingest and sync data at scale from various systems. Create custom embeddings with metadata for vector databases, preparing enterprise data for LLM usage.
Curate and Sanitize Data for Model Training
Easily assemble, cleanse, and sanitize high-quality datasets for AI model training and tuning.
Protect AI Interactions
The natural language conversation-aware LLM Firewall, protects user prompts, responses and data retrievals in AI systems. The LLM Firewall helps moderate AI interaction to align with enterprise policies, protect against sensitive data leaks, and prevent attacks like prompt injections and jailbreaking instructions.
Highlights
Seamless Data Connectivity Across Your Enterprise: Safely ingest data through hundreds of native connectors while enabling diverse enterprise AI applications that leverage both unstructured and structured data across multiple environments - SaaS, on-premise, public and data clouds.
Inline Controls Across AI Pipeline: Protect data throughout AI operations via comprehensive security layers, including data sanitization before AI model consumption, LLM firewalls to ensure policy-compliant interactions, and continuous compliance monitoring (NIST AI RMF, EU AI Act etc.).
Complete AI System Provenance: Gain full visibility into the entire AI system, including data and AI usage -- down to the level of each file, individual user, and all AI models and usage endpoints.
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Gencore AI uses a contract-based pricing model with one dimension: the Basic Appliance, billed in units. Pricing is not fixed on the listing. Instead, you contact Securiti AI to arrange custom pricing for your deployment. Because only this single option exists, there are no tiers, instance-size choices, or usage add-ons to compare. Your final cost depends on the terms you negotiate directly with the vendor.
Top-of-mind questions for buyers
What does the Basic Appliance unit include as part of the Gencore AI platform?
The Basic Appliance delivers the DataAI Command Platform. You get no-code Data+AI pipeline building, data discovery, classification, extraction, sanitization, entitlement enforcement, and lineage tracing. It also supports safe enterprise AI copilots, data vectorization to vector databases, and context-aware controls for AI prompts and responses.
How is cost determined when I need more capacity for the Basic Appliance?
The Basic Appliance is billed in units, and your total scales with the number of units in your deployment. There are no separate tiers or usage add-ons on the listing. Because pricing is custom, the exact unit count and cost are set when you contact Securiti AI directly.
Do I pay one combined price, or are pipeline features billed separately?
The listing has a single billing metric: the Basic Appliance unit. Platform features like discovery, classification, sanitization, lineage, and copilot building are part of the appliance, not separate line items. Your invoice reflects the negotiated unit-based contract, not per-feature charges.
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This product has charges associated with it for seller support. Gencore AI for SFTP is a secure data ingestion connector that enables automated and governed transfer of files from SFTP servers into the Gencore AI platform for AI ready processing, compliance, and analysis.
This product has charges associated with it for seller support. Gencore AI for Microsoft 365 OneDrive is an AI powered assistant that enhances productivity by intelligently managing, searching, and analyzing files within OneDrive.
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