LLMStack by Promptly is a fully managed AI platform that simplifies the creation, orchestration, and deployment of generative AI applications. It connects LLMs to your datasets, APIs, and external services, enabling custom workflows, vector search, and real-time monitoring. With built-in scaling, logging, and security controls, teams can accelerate production-ready AI pipelines without managing infrastructure, reducing time to market and maintenance overhead.
LLMStack by Promptly is a fully managed AI platform that simplifies the creation, orchestration, and deployment of generative AI applications. It connects LLMs to your datasets, APIs, and external services, enabling custom workflows, vector search, and real-time monitoring. With built-in scaling, logging, and security controls, teams can accelerate production-ready AI pipelines without managing infrastructure, reducing time to market and maintenance overhead.
LLMStack enables developers and teams to turn language model projects into production-grade applications in minutes. It offers composable workflows for chaining prompts, vector store integrations for semantic search, and connectors to external APIs for data enrichment. Built-in job scheduling, real-time logging, metrics dashboards, and automated scaling ensure reliability and observability. Users can deploy AI apps via a one-click interface or API, while enforcing access controls, monitoring performance, and managing versions—all without handling servers or DevOps.
Who will use LLMStack?
AI developers
Data scientists
ML engineers
Product managers
Startup teams
Enterprise IT teams
How to use the LLMStack?
Step1: Sign up at the LLMStack web console and log in.
Step2: Create a new AI application project.
Step3: Connect data sources such as databases, vector stores, or APIs.
Step4: Define workflows using the visual builder or YAML configuration.
Step5: Configure environment settings, autoscaling, and security policies.
Step6: Deploy the application and monitor logs, metrics, and usage.
Platform
web
LLMStack's Core Features & Benefits
The Core Features
Composable prompt workflows
Vector store integrations
API and data connector library
Job scheduling and automation
Real-time logging and metrics
Automated scaling and deployment
Access controls and versioning
The Benefits
No infrastructure management
Faster time to production
Built-in monitoring and observability
Secure data and access controls
Scalable on demand
Reduced maintenance overhead
LLMStack's Main Use Cases & Applications
Document retrieval and QA systems
Customer support chatbots
Automated report generation
Content summarization pipelines
Data extraction and enrichment
LLMStack's Pros & Cons
The Pros
Supports all major language model providers.
Allows integration of various data sources to enhance AI applications.
Open source with community and documentation support.
Facilitates collaborative app building with role-based access control.
LLMStack's Pricing
Has free plan
YES
Free trial details
Pricing model
Freemium
Is credit card required
No
Paid from
99.99 USD
Has lifetime plan
No
Billing frequency
Monthly
Details of Pricing Plan
Free
0 USD
10 Apps
1 Private App
1M Character Storage
1000 Credits (one time)
Community Support
Pro
99.99 USD
100 Apps
10 Private Apps
100M Character Storage
13,000 Credits
Basic Support
Enterprise
Unlimited Apps
Unlimited Private Apps
Usage Character Storage
Unlimited Requests
Dedicated Support
White-glove service
Discount:Save 17% when subscribing yearly ($999/year plan)