Peak

Categories: Automation / Agents, Business & Sales, E-commerce | Pricing: Enterprise | Official Website ↗

Peak provides agentic AI solutions for retail and manufacturing that predict, decide, and act autonomously to optimize business operations.

Peak provides agentic AI solutions that predict, decide, and act autonomously, offering specialized capabilities for retail and manufacturing sectors. The platform allows businesses to build and deploy AI applications, integrating with existing data infrastructure like Redshift, Snowflake, and AWS S3. Peak's offerings include a core AI platform, a library of customizable applications, and expert services for implementation, adoption, and ongoing support. The platform is designed to help businesses accelerate their AI journey and achieve commercial results by providing tools for data warehousing, data science tooling, and integrations. Peak has joined forces with UiPath to further enhance its agentic AI offerings.

Key Features

Agentic AI solutions for retail and manufacturing
Data warehousing (Redshift/Snowflake)
Data feeds
Data Bridge for AWS S3 and Snowflake
Workspaces for data exploration and AI application building
Workflows for visualizing business decisions
API calls for data updates to AI models
APIs deployed for exporting insights
Peak Applications Deployed
Enabling features like connectors and model management
User management (power and commercial users)
Platform documentation and knowledge base

Pros

Specialized agentic AI solutions for retail and manufacturing
Integration with UiPath for enhanced automation capabilities
Comprehensive platform for building and deploying AI applications
Customizable applications to suit specific business challenges
Dedicated account management and support

Cons

No explicit pricing details provided for any of the plans
Requires integration with existing data warehousing solutions
Specific limitations on data feeds, API calls, and applications deployed based on plan
No free plan or free trial mentioned
Focus primarily on retail and manufacturing sectors

Use Cases

Predictive analytics for retail operations
Autonomous decision-making in manufacturing
Optimizing supply chain management
Automating business processes with AI
Building custom AI applications
Integrating AI into existing business systems
Improving operational efficiency
Driving commercial outcomes with AI

Best For

Retail businesses
Manufacturing businesses
Enterprises deploying multiple AI applications
Businesses seeking autonomous AI solutions
Companies needing custom AI application development

Integrations: UiPath, Redshift, Snowflake, AWS S3

Platforms: web

Watch demo on YouTube ↗

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