A simpler integration plan
Map your use case to an API approach and check where model-specific behavior needs attention.
MODUCK FOR BUSINESS
Enterprise AI API, planned around your business.
Explore models, integration requirements, and costs in one place. Tell us what you are building, and we can review a practical path together.
WELCOME TO MODUCK
A clearer starting point for your AI plans.
Choosing an AI model is only one part of bringing a product to market. Teams also need to understand how requests work, what each model supports, and how usage is priced.
Moduck brings the model catalog and API guidance into one experience so you can compare options before committing to an integration.
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BUILT AROUND YOUR NEEDS
Enterprise starts with a conversation.
Bring us your workload, constraints, and growth plans. These are the areas we can review together before any enterprise terms are agreed.
Model selection for the task
Compare supported inputs, outputs, and model limits against real business requirements.
A clearer cost picture
Use metering units, published rates, and expected demand to shape an initial budget.
Capacity planning
Discuss expected traffic and verify the rate limits and availability that apply to each model.
Data handling review
Identify relevant providers, request flows, and policies for your security review.
Agreed support scope
Discuss support needs and confirm any available arrangements in writing.
LET’S TALK
Your AI journey starts with the right questions.
Share your goals and constraints. The first discussion is a chance to understand the workload and identify what needs a technical or commercial review.
Contact the enterprise team01
Understand the opportunity
Describe your use case, target users, preferred models, operating regions, and expected demand.
02
Leave with clear next steps
Identify the API, data, capacity, pricing, and testing questions to resolve before integration.
TRUST & TRANSPARENCY
Trust is built with clear answers.
When requests may reach third-party model providers, accurate disclosures are more useful than absolute promises.
Where does request data go?
Identify which providers may process requests and which policies need review.
What model and capacity limits apply?
Check features, rate limits, availability, and error-handling expectations per model.
How should production use be validated?
Test real API flows, evaluate outputs, handle failures, and plan usage controls.
COST & PRICING
Start lean. Keep AI costs in view as you grow.
Better cost decisions start with understanding what gets metered. Actual rates and billing rules depend on published model information and applicable agreements.
01
Start with metering rules
Identify whether a model charges by tokens, generations, task duration, or another unit.
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Estimate your demand
Translate requests, output sizes, and peak traffic into a planning range.
03
Review the commercial fit
Verify feasibility and agree on terms before implementation.
Usage planning checklist
Text / reasoningInput, output, and cache billing rules
Image / videoGeneration specifications and task charges
Traffic / usageModel limits, failed requests, and billing terms
MODEL WORKFLOWS
Different AI workflows call for different capabilities.
Start with what your product needs, then compare the models and integration patterns that fit each workflow.
AI apps & agents
Evaluate models for product experiences and automation.
Reasoning workflows
Match model traits and cost to complex tasks.
Image experiences
Plan generation and editing around supported inputs and outputs.
Voice & audio
Explore transcription, synthesis, and audio interaction models.
Video & media
Consider available specifications and asynchronous tasks.
Check model versions and features against the current catalog and API documentation.
ENGAGEMENT PATH
From requirements to integration, in four steps.
Work together from the initial brief through technical review, commercial terms, and integration.
Share your needs
Describe your use case, target models, demand, and constraints.
Evaluate fit
Review actual APIs, availability, data handling, and capacity limits.
Confirm terms
Clarify applicable pricing, support channels, and scope in writing.
Test and integrate
Validate under mutually agreed conditions.
FAQ
Make important questions easy to answer.
Can we start small before scaling up?
Evaluate your starting point against currently available models, account conditions, and published pricing. Verify any trial allowance against current rules.
Do you provide dedicated servers or private deployments?
Tell us about the workload, data requirements, and target models. We can review feasibility and confirm any available arrangement in writing.
Are enterprise RPM and TPM unlimited?
Capacity depends on the model and service configuration. Share your expected traffic so the applicable limits can be reviewed and agreed in writing.
Will API prompts or outputs train models?
Data use must be evaluated for each upstream provider, model, and configuration under the applicable privacy notice and provider terms.
How should we compare prices across models?
Compare actual billing units, such as input and output tokens, generations, or tasks. One headline rate is not meaningful across modalities.
How can we contact Moduck?
Email contact@moduck.io to discuss your enterprise needs.
LET’S PLAN WHAT COMES NEXT
Find the right access path for your next stage of AI growth.
Share what you are building, which models matter, and how usage may evolve. Validate what can be delivered before defining a partnership.
Contact the enterprise team