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Automate service, underwriting, and claims processing

Use AI to classify emails, extract data from documents, assess damage from images and VIDEOS, anonymize PII information, and more

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Use Cases

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PII Anonymization

Use AI to redact or blur personally identifiable information such as faces, license plate numbers, and credit card numbers in underwriting and claims images, documents, videos, audio, and text.

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Damage Assessment

Use AI to automate the assessment of damage to the vehicle, equipment, or building using inspection images and videos.

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Underwriting and Claims Classification

Automate classification of underwriting or claims documents, images, and videos using computer vision.

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Underwriting and Claims Data Extraction

Extract decision-making information from insurance or underwriting claims documents, images, and videos using AI.

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Customer Communications Processing

Automate classification, prioritization and routing of customer emails, chats, and letters using NLP.

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First Notice of Loss (FNOL) Routing

Intelligently classify and route FNOL to the right insurance adjuster.

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Claim Prioritization

Use AI to automate claim prioritization for processing.

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Claims Fraud Detection

Automatically identify and flag potentially fraudulent claims for investigation.

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Home Appraisal

Automate data processing and image analysis to accurately assess home value.

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Claim status check-in

Automate customer inquiries via phone and chat to reduce wait times and decrease load on claims adjusters.

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Claim Document Transcription

Structure documents uploaded to claim files for analytics and efficiency.

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Claims adjuster case prioritization

Expedite cycle time by prioritizing cases for claims adjusters in the most efficient order.

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Medical Provider Fraud

Automatically compare data from medical providers with user reported medical visits.

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Flight Risk Flag

Analyze customer calls to understand customer sentiment and prioritize claims from disgruntled customers.

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Medical Invoice Transcription

Automate your medical invoices, regardless of which system they come from.

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Homeowners pricing

Verify user reported pricing information (distances from home to local fire stations, police stations, fire hydrants) without the need for field adjustment.

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Homeowners pricing - Fraud detection

Get estimates for housing material, building height, square footage, distance to fire hazards such as shrubs, and more.

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FNOL autofill and routing

Route to specialized adjusters such as medical examiners and subrogation directly from FNOL where appropriate.

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Audit for compliance

Audit every phone call with our AI and flag for additional review by your QA team.

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Case Studies

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Medical Invoice Transcription
Medical Invoice Transcription
Claim Document Transcription
Claim Document Transcription
Medical Provider Fraud Flag
Medical Provider Fraud Flag
Claims Adjuster Case Prioritization
Claims Adjuster Case Prioritization
Subrogation Flag
Subrogation Flag
Homeowners Pricing Variables Verification
Homeowners Pricing Variables Verification
Field Adjustment Automation
Field Adjustment Automation
FNOL call audit
FNOL call audit
Call Center Routing
Call Center Routing
Chat Article Recommendation
Article Recommendation
Input
OUTPUT
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Oops! Something went wrong while submitting the form.

dp = DataProgram("invoice-transcription")
instance = dp(name="my-invoice-transcription",
              instructions="Extract all the requested fields from this document")
instance.label(inputs=[
   "https://cdn.super.ai/Webflow+assets/Medical+invoice.pdf"
])

curl -X POST \
"https://super.ai/v1/apps/my-invoice-transcription/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/Medical+invoice.pdf"]}'

superai client create_jobs \
--app_id my-invoice-transcription \
--inputs ["https://cdn.super.ai/Webflow+assets/Medical+invoice.pdf"]

[
 {
    "label": [
       {
          'top': 1108,
          'left': 762,
          'height': 48,
          'width': 52,
          'key': 'Invoice number',
          'value': 'DP-124-5892'  
     },
       {
          'top': 1108,
          'left': 993,
          'height': 48,
          'width': 100   'key': 'Patient name',
          'value': 'Joseph T. Smith'  
     },
       {
          'top': 1108,
          'left': 1338,
          'height': 45,
          'width': 114   'key': 'Address',
          'value': '12 West Brook Drive, Los Angeles, California, 90182'  
     },
       {
          'top': 1263,
          'left': 755,
          'height': 45,
          'width': 62   'key': 'Description',
          'value': 'Swab sampling for bacteria detection, inflamated throat'  
     },
       {
          'top': 1263,
          'left': 993,
          'height': 45,
          'width': 100,
          'key': 'Quantity',
          'value': '25'  
     }
   ]
 }
]

[
 {
    "label": [
       {
          'top': 1108,
          'left': 762,
          'height': 48,
          'width': 52,
          'key': 'Invoice number',
          'value': 'DP-124-5892'  
     },
       {
          'top': 1108,
          'left': 993,
          'height': 48,
          'width': 100   'key': 'Patient name',
          'value': 'Joseph T. Smith'  
     },
       {
          'top': 1108,
          'left': 1338,
          'height': 45,
          'width': 114   'key': 'Address',
          'value': '12 West Brook Drive, Los Angeles, California, 90182'  
     },
       {
          'top': 1263,
          'left': 755,
          'height': 45,
          'width': 62   'key': 'Description',
          'value': 'Swab sampling for bacteria detection, inflamated throat'  
     },
       {
          'top': 1263,
          'left': 993,
          'height': 45,
          'width': 100,
          'key': 'Quantity',
          'value': '25'  
     }
   ]
 }
]

[
 {
    "label": [
       {
          'top': 1108,
          'left': 762,
          'height': 48,
          'width': 52,
          'key': 'Invoice number',
          'value': 'DP-124-5892'  
     },
       {
          'top': 1108,
          'left': 993,
          'height': 48,
          'width': 100   'key': 'Patient name',
          'value': 'Joseph T. Smith'  
     },
       {
          'top': 1108,
          'left': 1338,
          'height': 45,
          'width': 114   'key': 'Address',
          'value': '12 West Brook Drive, Los Angeles, California, 90182'  
     },
       {
          'top': 1263,
          'left': 755,
          'height': 45,
          'width': 62   'key': 'Description',
          'value': 'Swab sampling for bacteria detection, inflamated throat'  
     },
       {
          'top': 1263,
          'left': 993,
          'height': 45,
          'width': 100,
          'key': 'Quantity',
          'value': '25'  
     }
   ]
 }
]

Run Data program
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output
OUTPUT
Medical Invoice Transcription
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("satellite-number")
instance = dp(name="my-satellite-number",
              instructions="Determine the distance between the given house and the nearest fire station in miles")
instance.label(inputs=["16 Meeting St, Charleston, SC 29401"])

curl -X POST \
"https://super.ai/v1/apps/my-satellite-number/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["16 Meeting St, Charleston, SC 29401"]}'

superai client create_jobs \
--app_id my-satellite-number \
--inputs ["16 Meeting St, Charleston, SC 29401"]

[
 {
   "label": [
     {
       "nearest_fire_station": 15,
       "unit": "mile"
     },
     {
       "nearest_police_station": 6,
       "unit": "mile"
     }
   ]
 }
]

[
 {
   "label": [
     {
       "nearest_fire_station": 15,
       "unit": "mile"
     },
     {
       "nearest_police_station": 6,
       "unit": "mile"
     }
   ]
 }
]

[
 {
   "label": [
     {
       "nearest_fire_station": 15,
       "unit": "mile"
     },
     {
       "nearest_police_station": 6,
       "unit": "mile"
     }
   ]
 }
]

Run Data program
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output
OUTPUT
Homeowners Pricing Variables Verification
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("streetview-structured")
instance = dp(name="my-streetview-structured",
              instructions="Determine the height, material and square foot size of the given house in Streetview")
instance.label(inputs=[
   "16 Meeting St, Charleston, SC 29401"
])

curl -X POST \
"https://super.ai/v1/apps/my-streetview-structured/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["16 Meeting St, Charleston, SC 29401"]}'

superai client create_jobs \
--app_id my-streetview-structured \
--inputs ["16 Meeting St, Charleston, SC 29401"]

[
 {
   "label": [
     {
       "field_id": "height in feet",
       "field_type": "float",
       "field_value": "60.0"
     },
     {
       "field_id": "wall material",
       "field_type": "text",
       "field_value": "stone"
     },
     {
       "field_id": "square footage",
       "field_type": "integer",
       "field_value": "24000"
     }
   ]
 }
]

[
 {
   "label": [
     {
       "field_id": "height in feet",
       "field_type": "float",
       "field_value": "60.0"
     },
     {
       "field_id": "wall material",
       "field_type": "text",
       "field_value": "stone"
     },
     {
       "field_id": "square footage",
       "field_type": "integer",
       "field_value": "24000"
     }
   ]
 }
]

[
 {
   "label": [
     {
       "field_id": "height in feet",
       "field_type": "float",
       "field_value": "60.0"
     },
     {
       "field_id": "wall material",
       "field_type": "text",
       "field_value": "stone"
     },
     {
       "field_id": "square footage",
       "field_type": "integer",
       "field_value": "24000"
     }
   ]
 }
]

Run Data program
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output
OUTPUT
Field Adjustment Automation
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("document-transcription")
instance = dp(name="my-document-transcription",
              instructions="Extract the given fields from this document.")
instance.label(inputs=[
   "https://cdn.super.ai/Webflow+assets/claim+document+transcription+_insurance_input.png"
])

curl -X POST \
"https://super.ai/v1/apps/my-document-transcription/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/claim+document+transcription+_insurance_input.png"]}'

superai client create_jobs \
--app_id my-document-transcription \
--inputs ["https://cdn.super.ai/Webflow+assets/claim+document+transcription+_insurance_input.png"]

[
 {
   "label": [
     {
       'top': 750,
       'left': 312,
       'height': 76,
       'width': 272,
       'key': 'Written estimate opt in',
       'value': 'X'
     },
     {
       'top': 517,
       'left': 1145,
       'height': 51,
       'width': 142,
       'key': 'Repair costs limit',
       'value': '300'‍
     },
     {
       'top': 474,
       'left': 1642,
       'height': 53,
       'width': 277,
       'key': 'Signature',
       'value': 'JSmith'
     },
     {
       'top': 549,
       'left': 1662,
       'height': 60,
       'width': 424,
       'key': 'Date',
       'value': '12.03.2020'
     },
     {
       'top': 607,
       'left': 1563,
       'height': 53,
       'width': 159,
       'key': 'Tear down fee',
       'value': '1000'
     }
   }
 }
]

[
 {
   "label": [
     {
       'top': 750,
       'left': 312,
       'height': 76,
       'width': 272,
       'key': 'Written estimate opt in',
       'value': 'X'
     },
     {
       'top': 517,
       'left': 1145,
       'height': 51,
       'width': 142,
       'key': 'Repair costs limit',
       'value': '300'‍
     },
     {
       'top': 474,
       'left': 1642,
       'height': 53,
       'width': 277,
       'key': 'Signature',
       'value': 'JSmith'
     },
     {
       'top': 549,
       'left': 1662,
       'height': 60,
       'width': 424,
       'key': 'Date',
       'value': '12.03.2020'
     },
     {
       'top': 607,
       'left': 1563,
       'height': 53,
       'width': 159,
       'key': 'Tear down fee',
       'value': '1000'
     }
   }
 }
]

[
 {
   "label": [
     {
       'top': 750,
       'left': 312,
       'height': 76,
       'width': 272,
       'key': 'Written estimate opt in',
       'value': 'X'
     },
     {
       'top': 517,
       'left': 1145,
       'height': 51,
       'width': 142,
       'key': 'Repair costs limit',
       'value': '300'‍
     },
     {
       'top': 474,
       'left': 1642,
       'height': 53,
       'width': 277,
       'key': 'Signature',
       'value': 'JSmith'
     },
     {
       'top': 549,
       'left': 1662,
       'height': 60,
       'width': 424,
       'key': 'Date',
       'value': '12.03.2020'
     },
     {
       'top': 607,
       'left': 1563,
       'height': 53,
       'width': 159,
       'key': 'Tear down fee',
       'value': '1000'
     }
   }
 }
]

Run Data program
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output
OUTPUT
Claim Document Transcription
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("image-binary-choice")
instance = dp(name="my-image-binary-choice",
              instructions="Determine if the given invoice looks like fraud")
instance.label(inputs=[
   "https://cdn.super.ai/Webflow+assets/Medical-charges-1.png",
   "https://cdn.super.ai/Webflow+assets/medical-invoice2.png",
   "https://cdn.super.ai/Webflow+assets/medicalinvoice3.png""
])

curl -X POST \
"https://super.ai/v1/apps/my-image-binary-choice/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/Medical-charges-1.png",
   "https://cdn.super.ai/Webflow+assets/medical-invoice2.png",
   "https://cdn.super.ai/Webflow+assets/medicalinvoice3.png""]}'

superai client create_jobs \
--app_id my-image-binary-choice \
--inputs ["https://cdn.super.ai/Webflow+assets/Medical-charges-1.png",
   "https://cdn.super.ai/Webflow+assets/medical-invoice2.png",
   "https://cdn.super.ai/Webflow+assets/medicalinvoice3.png""]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Do not flag"
       },
       {
         "tag": "1",
         "value": "Flag for further investigation"
       } ],
     "selection": {
       "tag": "1",
       "value": "Flag for further investigation"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Do not flag"
       },
       {
         "tag": "1",
         "value": "Flag for further investigation"
       } ],
     "selection": {
       "tag": "1",
       "value": "Flag for further investigation"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Do not flag"
       },
       {
         "tag": "1",
         "value": "Flag for further investigation"
       } ],
     "selection": {
       "tag": "1",
       "value": "Flag for further investigation"
     }
   }
 }
]

Run Data program
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output
OUTPUT
Medical Provider Fraud Flag
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-categorization")
instance = dp(name="my-text-categorization",
              instructions="Choose the appropriate priority for the given customer claim.")
instance.label(inputs=[
   "I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."
])

curl -X POST \
"https://super.ai/v1/apps/my-text-categorization/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."]}'

superai client create_jobs \
--app_id my-text-categorization \
--inputs ["I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."]

[
  {
     "label": {
        "choices": [
           {
              "tag": "0",
              "value": "Not urgent"    
       },
           {
              "tag": "1",
              "value": "Urgent"    
       },
           {
              "tag": "2",
              "value": "Very urgent"
       } 
     ],
        "selection": {
           "tag": "2",
           "value": "Very urgent"   
     }  
   } 
 }
]

‍

[
  {
     "label": {
        "choices": [
           {
              "tag": "0",
              "value": "Not urgent"    
       },
           {
              "tag": "1",
              "value": "Urgent"    
       },
           {
              "tag": "2",
              "value": "Very urgent"
       } 
     ],
        "selection": {
           "tag": "2",
           "value": "Very urgent"   
     }  
   } 
 }
]

‍

[
  {
     "label": {
        "choices": [
           {
              "tag": "0",
              "value": "Not urgent"    
       },
           {
              "tag": "1",
              "value": "Urgent"    
       },
           {
              "tag": "2",
              "value": "Very urgent"
       } 
     ],
        "selection": {
           "tag": "2",
           "value": "Very urgent"   
     }  
   } 
 }
]

‍

Run Data program
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output
OUTPUT
Claims Adjuster Case Prioritization
Input
OUTPUT
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dp = DataProgram("text-categorization")
instance = dp(name="my-text-categorization",
              instructions="Determine the likelihood that subrogation is required for this case.")
instance.label(inputs=[
   "I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."
])

curl -X POST \
"https://super.ai/v1/apps/my-text-categorization/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."]}'

superai client create_jobs \
--app_id my-text-categorization \
--inputs ["I was driving down Prospect Ave. and taking a left onto Mohegan Dr. when someone tried to pass me on the left and hit me! I had to get taken to the hospital."]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Low"
       },
       {
         "tag": "1",
         "value": "Medium"
       },
       {
         "tag": "2",
         "value": "High"
       },
       {
         "tag": "3",
         "value": "Very high"
       }  ],
     "selection": {
       "tag": "3",
       "value": "Very high"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Low"
       },
       {
         "tag": "1",
         "value": "Medium"
       },
       {
         "tag": "2",
         "value": "High"
       },
       {
         "tag": "3",
         "value": "Very high"
       }  ],
     "selection": {
       "tag": "3",
       "value": "Very high"
     }
   }
 }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Low"
       },
       {
         "tag": "1",
         "value": "Medium"
       },
       {
         "tag": "2",
         "value": "High"
       },
       {
         "tag": "3",
         "value": "Very high"
       }  ],
     "selection": {
       "tag": "3",
       "value": "Very high"
     }
   }
 }
]

Run Data program
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output
OUTPUT
Subrogation Flag
Input
OUTPUT
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dp = DataProgram("audio-tagging")
instance = dp(name="my-audio-tagging",
              instructions="Select to which required actions the adjuster adhered.")
instance.label(inputs=[
   "https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"
])

curl -X POST \
"https://super.ai/v1/apps/my-audio-tagging/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"]}'

superai client create_jobs \
--app_id my-audio-tagging \
--inputs ["https://cdn.super.ai/Webflow+assets/OutboundSampleRecording.mp3"]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ],
     "selections": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ]
   }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ],
     "selections": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ]
   }
]

[
 {
   "label": {
     "choices": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ],
     "selections": [
       {
         "tag": "0",
         "value": "Used insured's name"
       },
       {
         "tag": "1",
         "value": "Asked required questions"
       },
       {
         "tag": "2",
         "value": "Courteous tone"
       }
     ]
   }
]

Run Data program
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output
OUTPUT
FNOL call audit
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-categorization")
instance = dp(name="my-text-categorization",
             instructions="Select the most appropriate category for the content of the customer query")
instance.label(inputs=[
   "hi can you hepl me with my account i can't login with the passworx it doesn't work do you know why"
])

curl -X POST \
"https://super.ai/v1/apps/my-text-categorization/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["hi can you hepl me with my account i can't login with the passworx it doesn't work do you know why"]}'

superai client create_jobs \
--app_id my-text-categorization \
--inputs ["hi can you hepl me with my account i can't login with the passworx it doesn't work do you know why"]

[
 {
  "label":{
   "choices": [
        {
          "tag": "0",
          "value": "Tech Support"
       },
       {
         "tag": "1",
         "value": "General Support"
       },
       {
         "tag": "2",
         "value": "Sales"
       }
      ],
      "selection": [
        {
          "tag": "2",
          "value": "Sales"
        }
      ]
    }
 }
]

[
 {
  "label":{
   "choices": [
        {
          "tag": "0",
          "value": "Tech Support"
       },
       {
         "tag": "1",
         "value": "General Support"
       },
       {
         "tag": "2",
         "value": "Sales"
       }
      ],
      "selection": [
        {
          "tag": "2",
          "value": "Sales"
        }
      ]
    }
 }
]

[
 {
  "label":{
   "choices": [
        {
          "tag": "0",
          "value": "Tech Support"
       },
       {
         "tag": "1",
         "value": "General Support"
       },
       {
         "tag": "2",
         "value": "Sales"
       }
      ],
      "selection": [
        {
          "tag": "2",
          "value": "Sales"
        }
      ]
    }
 }
]

Run Data program
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output
OUTPUT
Chat Article Recommendation General Support
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("audio-intent-recognition")
instance = dp(name="my-audio-intent-recognition",
              instructions="How well does the intent represent the query?")
instance.label(inputs=[
   "https://cdn.super.ai/Webflow+assets/customerc_claim_check.m4a"
])

curl -X POST \
"https://super.ai/v1/apps/my-audio-intent-recognition/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/customerc_claim_check.m4a"]}'

superai client create_jobs \
--app_id my-audio-intent-recognition \
--inputs ["https://cdn.super.ai/Webflow+assets/customerc_claim_check.m4a"]

[
 {
  "label":{
     "std": 0.05,
     "mean": 0.95,
     "intent": "check_claim_status"
   }
 }
]

[
 {
  "label":{
     "std": 0.05,
     "mean": 0.95,
     "intent": "check_claim_status"
   }
 }
]

[
 {
  "label":{
     "std": 0.05,
     "mean": 0.95,
     "intent": "check_claim_status"
   }
 }
]

Run Data program
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output
OUTPUT
Call Center Routing
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("query-article-recommendation")
instance = dp(name="my-query-article-recommendation",
             instructions="Which article solves this query?")
instance.label(inputs=[
   "I haven't received any updates on my claim!"
])

curl -X POST \
"https://super.ai/v1/apps/my-query-article-recommendation/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["I haven't received any updates on my claim!"]}'

superai client create_jobs \
--app_id my-query-article-recommendation \
--inputs ["I haven't received any updates on my claim!"]

[
  {
     "label": {
        "article": "where_check_claim_status",
        "confidence": 0.98  
   }
 }
]

[
 {
   "label": {
     "article": "where_check_claim_status",
     "confidence": 0.98
   }
 }
]‍

[
 {
   "label": {
     "article": "where_check_claim_status",
     "confidence": 0.98
   }
 }
]‍

Run Data program
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output
OUTPUT
Chat Article Recommendation
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