Monetize AI
Make AI Monetization Easy
We provide an AI infrastructure layer so you can focus on building great products.
Events
100 credits consumed
AI agent screens candidates
Cancelled by user
Lead list
70% prepared
Dunning Letters sent
sent to selected clients
Events
100 credits consumed
AI agent screens candidates
Cancelled by user
Lead list
70% prepared
Dunning Letters sent
sent to selected clients
Events
100 credits consumed
AI agent screens candidates
Cancelled by user
Lead list
70% prepared
Dunning Letters sent
sent to selected clients
Measure Outcomes in realtime
Measure Outcomes in realtime
AI outcomes or Unique custom metrics gets measured in realtime and accurately.
AI outcomes or Unique custom metrics gets measured in realtime and accurately.
Billing platform that scales
Billing platform that scales
Send thousand or million events.
Send thousand or million events.
Change Plans
Plan1
Plan2
Plan3
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Draft
Test
Commit
Change Plans
Plan1
Plan2
Plan3
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Draft
Test
Commit
Change Plans
Plan1
Plan2
Plan3
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Plan1
Verified
Plan2
Verified
Plan3
Verified
Plan4
Verified
Draft
Test
Commit
Change pricing in hours
Change pricing in hours
Apply new pricing in hours not in weeks and test it before it goes live.
Apply new pricing in hours not in weeks and test it before it goes live.
Create trust
Create trust
Your customer know in realtime their consumption and limits
Your customer know in realtime their consumption and limits
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Credits Used: 42,300/50,000
Renews on Feb 01
84% of Credits Used
Top Up Credits
Verified
Monetization platform that just works!
We design, develop, and implement automation tools that help you work smarter, not harder
Step 1
Stream Events
We are present where the events are.
Analyzing current workflow..
Credit Events
Process Events
API Calls
Outcome
Routine Bot
Analyzing current workflow..
Credit Events
Process Events
API Calls
Outcome
Routine Bot
Step 2
Define Outcomes or Metrics
Use plan builder to define what and how to bill.
- class AutomationTrigger:def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}" - class AutomationTrigger:def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}"
- class AutomationTrigger:def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}" - class AutomationTrigger:def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}"
Step 3
Define Credit Logic & Quotas
Your credit logic and rate should be unique as your product is
Our solution
Your stack
Our solution
Your stack
Step 4
Generate bills
Generate bills in realtime or scheduled
Ticket solved
2000 Workflow execution
Sales Prospecting
Ticket solved
2000 Workflow execution
Sales Prospecting