Enterprise Prompt Management &
AI Workflow Platform
Centralize your model prompts, manage versions, execute variables, and track token performance in a secure, serverless cloud environment built on AWS.
Live Playground Simulator
Test how PromptForge executes model variables and streams live Bedrock telemetry.
Semantic Versioning
Instantly rollback or branch prompt templates. Compare version histories, parameters, and variable definitions with visual side-by-side comparisons.
Cognito Security Shield
Establish granular role permissions for your teams. Keep model access tokens and credentials encrypted within AWS Secrets Manager.
LLM Cost Analytics
Track input/output tokens and cost graphs per workspace. Optimize prompts to fit within budgets while keeping latencies under 150ms.
Workflow Connectors
Compile prompts into executable HTTP REST API calls. Hook pipelines directly into custom Node.js, Python, or AWS Lambda systems.
Scale Predictably, Pay For Usage
Simple developer accounts to isolated multi-region enterprise instances.
Developer
Perfect for testing prompt concepts and single-project sandbox experiments.
- 1 user seat
- Up to 5,000 prompt logs/mo
- Integrations with Claude & GPT-4o
- Standard version history (30 days)
- Shared AWS sandbox API gateway
Pro Team
For growing SaaS startups and software teams managing live models in production.
- Up to 10 user seats
- 1,000,000 prompt logs/mo
- Direct Bedrock & Custom Endpoint keys
- Infinite prompt version timelines
- Cognito-isolated team workspaces
- Priority Slack support channel
Enterprise
For institutions requiring absolute data isolation, HIPAA/SOC2 audits, and dedicated AWS Fargate clusters.
- Infinite seats & prompt runs
- Deployed on your own AWS VPC
- HIPAA/SOC2 compliance reports
- Private Key management (AWS KMS)
- Dedicated training & fine-tuning
- 24/7 custom SRE support
Frequently Asked Questions
Clear insights regarding integrations, latency, and compliance.
Does PromptForge AI store our client data or API prompt logs?
No. By default, prompt data and variables are processed transiently through serverless AWS Lambda and Amazon Bedrock models. For Enterprise workspaces, the entire stack runs within your company's own AWS account/VPC via ECS Fargate and PrivateLink.
Which foundation models are supported out-of-the-box?
PromptForge AI hooks directly into Amazon Bedrock. This gives you instant access to Anthropic Claude (3.5 Sonnet, Haiku), Google Gemini (1.5 Pro, Flash), Meta Llama 3, Cohere, AI21, and custom fine-tuned model checkpoints.
How does the caching system reduce token costs?
We utilize DynamoDB Global Tables and Redis edge caches. If a identical prompt variable request is received, the tool responds from cache rather than hitting the LLM model endpoints, reducing both latency and inference costs by up to 60%.