PromptFinOps Framework
For teams to build, validate, host, deploy, and monitor prompts in real time.
PromptFinOps Framework
For teams to build, validate, host, deploy, and monitor prompts in real time.
PromptFinOps Framework
For teams to build, validate, host, deploy, and monitor prompts in real time.
At Genum Lab, we are building the first comprehensive Prompt Validation platform, designed for developers, prompt engineers, and AI architects.
The framework enables full-lifecycle prompt management — from development, testing, and integration to CI/CD, DevOps, FinOps, and monitoring.
Genum Lab Infrastructure Suite
A structured, vendor-independent framework for prompt validation—built for reliability, scalability, and full control over AI-driven automation.
Prompt Development
Build structured, reusable prompts with version control and modular templates for scale and collaboration.
Prompt Validation
Automate unit, regression, and full-chain (E2E) testing to catch failures early—before they reach production.
Prompt Tuning
Continuously optimize prompts using real-world usage data. Activate Deep-Tune Mode for advanced regression-based refinement.
Continuous Prompt Deployment
Deploy updated prompts seamlessly with a CI/CD pipeline designed for stability, predictability, and fast iteration.
Prompt API Security
Expose prompts as secure APIs—ready for external automation, with full access control and auditability.
Prompt FinOps
Take control of your AI budget: set usage limits, forecast costs across vendors, and optimize without sacrificing quality.
Prompt Operations
Define cross-vendor fallback, load balancing, cost control, and performance policies—run prompts your way.
Prompt Logging
Log every interaction—either as plug-and-play SaaS logging or via custom redirect-to-your-stack model.
Prompt Monitoring
Monitor usage, performance, accuracy, and spend in real-time. Route alerts via customizable, channel-based policies.
Fixing Prompt Chaos
with Genum Lab
Prompt engineering at scale requires structure, repeatability, and resilience. Genum Lab is built to solve the key failures in GenAI-powered automation.
Structured Prompt Development
No more inconsistencies or fragile logic.
Unit testing for expected outputs
Modular prompt composition using templates
Versioned, staged deployment
Built-In Regression Testing
Confidently evolve prompt logic without breaking what's already working.
Automated regression checks across versions
End-to-end validation with real-world inputs
API integration with QA pipelines
Context Prompt Extension
Scale your prompts beyond single-turn limitations.
Inject external data and retrieved knowledge into prompts
Dynamically expand instructions with context-aware variables
Enable structured logic across multi-turn interactions and systems
Vendor-Agnostic Infrastructure
Avoid lock-in and scale across any provider.
Unified inference across OpenAI, Claude, and local models
Dynamic switching and fallback support
Cost and performance benchmarking built in
CI/CD for Prompts
Treat prompts like code—with testing, versioning, continuous integration and continuous deployment
Full prompt lifecycle: from deployment to continuous testing and monitoring
Auto-validation before deployment
Git-connected versioning
Failure Handling & Continuous Learning
Turn breakdowns into feedback loops that improve the system.
Automatic detection of prompt failures
Conflict ticketing with traceability
Human-in-the-loop refinement and redeployment
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Genum Lab Infrastructure Suite
A structured, vendor-independent framework for prompt validation—built for reliability, scalability, and full control over AI-driven automation.
Prompt Development
Build structured, reusable prompts with version control and modular templates for scale and collaboration.
Prompt Validation
Automate unit, regression, and full-chain (E2E) testing to catch failures early—before they reach production.
Prompt Tuning
Continuously optimize prompts using real-world usage data. Activate Deep-Tune Mode for advanced regression-based refinement.
Continuous Prompt Deployment
Deploy updated prompts seamlessly with a CI/CD pipeline designed for stability, predictability, and fast iteration.
Prompt API Security
Expose prompts as secure APIs—ready for external automation, with full access control and auditability.
Prompt FinOps
Take control of your AI budget: set usage limits, forecast costs across vendors, and optimize without sacrificing quality.
Prompt Operations
Define cross-vendor fallback, load balancing, cost control, and performance policies—run prompts your way.
Prompt Logging
Log every interaction—either as plug-and-play SaaS logging or via custom redirect-to-your-stack model.
Prompt Monitoring
Monitor usage, performance, accuracy, and spend in real-time. Route alerts via customizable, channel-based policies.
Fixing Prompt Chaos
with Genum Lab
Prompt engineering at scale requires structure, repeatability, and resilience. Genum Lab is built to solve the key failures in GenAI-powered automation.
No more inconsistencies or fragile logic.
Unit testing for expected outputs
Modular prompt composition using templates
Versioned, staged deployment
Structured Prompt Development
Confidently evolve prompt logic without breaking what's already working.
Automated regression checks across versions
End-to-end validation with real-world inputs
API integration with QA pipelines
Built-In Regression Testing
Scale your prompts beyond single-turn limitations.
Inject external data and retrieved knowledge into prompts
Dynamically expand instructions with context-aware variables
Enable structured logic across multi-turn interactions and systems
Context Prompt Extension
Avoid lock-in and scale across any provider.
Unified inference across OpenAI, Claude, and local models
Dynamic switching and fallback support
Cost and performance benchmarking built in
Vendor-Agnostic Infrastructure
Treat prompts like code—with testing, versioning, continuous integration and continuous deployment
Full prompt lifecycle: from deployment to continuous testing and monitoring
Auto-validation before deployment
Git-connected versioning
CI/CD for Prompts
Turn breakdowns into feedback loops that improve the system.
Automatic detection of prompt failures
Conflict ticketing with traceability
Human-in-the-loop refinement and redeployment
Failure Handling & Continuous Learning
Genum Lab Infrastructure Suite
A structured, vendor-independent framework for prompt validation—built for reliability, scalability, and full control over AI-driven automation.
Prompt Development
Build structured, reusable prompts with version control and modular templates for scale and collaboration.
Prompt Validation
Automate unit, regression, and full-chain (E2E) testing to catch failures early—before they reach production.
Prompt Tuning
Continuously optimize prompts using real-world usage data. Activate Deep-Tune Mode for advanced regression-based refinement.
Continuous Prompt Deployment
Deploy updated prompts seamlessly with a CI/CD pipeline designed for stability, predictability, and fast iteration.
Prompt API Security
Expose prompts as secure APIs—ready for external automation, with full access control and auditability.
Prompt FinOps
Take control of your AI budget: set usage limits, forecast costs across vendors, and optimize without sacrificing quality.
Prompt Operations
Define cross-vendor fallback, load balancing, cost control, and performance policies—run prompts your way.
Prompt Logging
Log every interaction—either as plug-and-play SaaS logging or via custom redirect-to-your-stack model.
Prompt Monitoring
Monitor usage, performance, accuracy, and spend in real-time. Route alerts via customizable, channel-based policies.
Fixing Prompt Chaos
with Genum Lab
Prompt engineering at scale requires structure, repeatability, and resilience. Genum Lab is built to solve the key failures in GenAI-powered automation.
Structured Prompt Development
No more inconsistencies or fragile logic.
Unit testing for expected outputs
Modular prompt composition using templates
Versioned, staged deployment
Context Prompt Extension
Scale your prompts beyond single-turn limitations.
Inject external data and retrieved knowledge into prompts
Dynamically expand instructions with context-aware variables
Enable structured logic across multi-turn interactions and systems
Vendor-Agnostic Infrastructure
Avoid lock-in and scale across any provider.
Unified inference across OpenAI, Claude, and local models
Dynamic switching and fallback support
Cost and performance benchmarking built in
CI/CD for Prompts
Treat prompts like code—with testing, versioning, continuous integration and continuous deployment
Full prompt lifecycle: from deployment to continuous testing and monitoring
Auto-validation before deployment
Git-connected versioning
Failure Handling & Continuous Learning
Turn breakdowns into feedback loops that improve the system.
Automatic detection of prompt failures
Conflict ticketing with traceability
Human-in-the-loop refinement and redeployment
Built-In Regression Testing
Confidently evolve prompt logic without breaking what's already working.
Automated regression checks across versions
End-to-end validation with real-world inputs
API integration with QA pipelines