LLMasaService: AI Infrastructure for LLM Features
LLMasaService helps software and enterprise companies deploy and manage AI features. It is designed for teams that need to manage costs and reliability across multiple LLM providers.
At a glance
- Category
- Software Development
- Best for
- Software companies, Enterprise product teams, Engineering teams, Product managers
- Pricing
- Plans start at $5/month for the Developer tier, $99/month for Production, and $199/month for Enterprise. Each plan includes a 30-day trial and 125K tokens.
- Key use cases
- AI Feature Integration, LLM Cost and Ops Management, Enterprise LLM Governance, Automated Customer Support
- Integrations
- OpenAI, Anthropic, Mistral, Google
- Official website
- llmasaservice.io
LLMasaService is an infrastructure layer designed for product and engineering teams moving AI features from prototype to production. It handles operational tasks such as routing, failover, and governance, which may reduce the manual work required to build internal AI management tools.
The platform is designed for software companies and enterprise teams. It supports operational needs including PII redaction, content filtering, and usage-based billing for monetizing AI features. It also includes a no-code visual builder for creating agents.
Buyers should confirm their specific compliance requirements and billing preferences, as the platform includes built-in metering and embeddable dashboards. It is also worth confirming if the provided React hooks and UI components align with their current frontend stack.
Key Features
Analyzes prompt complexity in real time to route requests to a cost-effective or high-performance model.
Supports automatic health checking and failover between providers such as OpenAI, Anthropic, and Mistral.
Includes token tracking, metering, and embeddable usage widgets for customers.
Supports automatic PII detection and redaction, toxicity blocking, and brand policy injection.
A visual interface for configuring AI agents using prompt templates and context injection.
Maintains searchable memory across conversations to support personalized responses and context.
Supports uploads of PDFs, Markdown files, and URLs to provide agents with specific context.
Use Cases
Adding conversational AI, summarization, or content generation into an existing application using APIs or React components.
Using routing and observability tools to monitor token usage and manage LLM provider costs.
Providing employees with managed access to LLMs while enforcing PII redaction and brand compliance.
Deploying AI agents on a website that use a custom knowledge base and support escalation to humans.
Best For
Integrations
Pricing
Plans start at $5/month for the Developer tier, $99/month for Production, and $199/month for Enterprise. Each plan includes a 30-day trial and 125K tokens.
FAQ
Yes, you can use your own API keys from providers like OpenAI, Anthropic, and Mistral for direct billing, or purchase credits to use the platform's keys.
The platform offers a Developer plan starting at $5 per month, which includes a 30-day trial and 125K tokens.
It is designed for product, engineering, and IT teams at software and enterprise companies who are shipping AI features to production.
Source category: Software Development
Source subcategory: AI Infrastructure
