One Platform to Rule AI.
Observability, cost reduction, safety guardrails, and intelligent request routing for your AI integrations.
Our mission
Prompteus is the AI control center for building smarter, more efficient, and scalable AI-powered applications. It optimizes AI usage by dynamically routing requests to the best models, reducing costs with adaptive caching, and ensuring compliance with no-code workflow automation.
With multi-LLM support, observability, and built-in security controls, Prompteus eliminates vendor lock-in and gives teams full transparency over their AI interactions. Whether improving response times, enforcing safety policies, or managing API costs, Prompteus makes AI work better—without code rewrites or complexity.
The Numbers
- Estimated AI Cost Reduction
- 10%
- Output relevance
- 1×
- Processing time reduction
- 10%
AI Workflow Orchestration
Drag-and-Drop AI Workflow Builder
Set up request routing, conditions, and transformations without writing code.
Real-Time AI Governance
Define rules, limits, and safeguards to ensure responsible AI usage.
Multi-Model Compatibility
Seamlessly switch between different AI models and providers.
Multi-LLM Integration
Build once, connect everything
Prompteus streamlines API integration with a unified interface for multiple LLMs, enabling dynamic, on-the-fly switching to optimize cost, speed, and quality.
LLM Reliability and Uptime Management
AI workflows demand reliability, and Prompteus ensures that your AI operations run smoothly with minimal disruptions. Our platform is built for high availability and resilience, allowing you to manage AI workloads without downtime:
Dynamic AI Routing
Automatically reroute requests to available AI models, ensuring uptime even when one provider is down.
Failover Mechanisms
If a model fails or underperforms, Prompteus seamlessly switches to a fallback model.
Real-Time Monitoring
Track AI request performance, failure rates, and costs with detailed observability.
Schema and Workflow Versioning
Roll back changes or iterate on AI configurations without service interruption.
Multi-Region Redundancy
AI calls are distributed across multiple regions to maximize availability.
Serverless, secure, scalable
Global scale on day 1
Prompteus streamlines API integration with a unified interface for multiple LLMs, enabling dynamic, on-the-fly switching to optimize cost, speed, and quality.
Platform Security and Compliance
Security and compliance are at the core of everything we build. Prompteus provides robust guardrails to protect sensitive data and enforce organizational policies.
Role-Based Access Control (RBAC)
Restrict access to AI workflows based on user permissions.
End-to-End Encryption
Secure AI requests and responses, both in transit and at rest.
Audit Logs and Observability
Track every AI request, input, and output to ensure transparency and compliance.
SOC 2 and GDPR-Ready Infrastructure
Designed to meet industry-leading security and compliance standards.
Customizable Content Moderation & Filtering
Prevent AI from generating unsafe or non-compliant outputs.
Request Level Logging
Every token, every step, every call, logged
Prompteus logs every request, allowing you to monitor and optimize your AI usage.
Smarter caching, lower cost
Cut costs, not performance
Prompteus' semantic caching allows you to cut costs by reusing previous AI outputs, and minimize AI requests, speeding up requests and reducing costs.
AI Performance Boost
AI performance isn't just about response time—it's about cost efficiency, accuracy, and adaptability. Prompteus optimizes your AI workflows at every step to deliver the best results at the lowest cost.
Semantic Caching
Reuse AI-generated responses when applicable, reducing costs and improving speed.
Global Edge Network
Automatically direct queries to the nearest AI provider for minimal latency.
A/B Testing & Canary Deployments
Experiment with different AI models and optimize your pipeline without code refactoring.
Query Optimization & Rewriting
Modify AI prompts dynamically to improve accuracy and reduce redundant token usage.
Parallel Processing
Execute multiple AI calls in parallel, ensuring faster and more efficient response aggregation.