AI Productivity Platform for Oil and Gas Operations Teams
AI Productivity Platform for Oil and Gas Operations Teams
AI Productivity Platform for Oil and Gas Operations Teams
The easiest way to generate AI & ML workflows across data sources in seconds is with Tasq
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The easiest way to generate AI & ML workflows across data sources in seconds is with Tasq
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Scroll down to play through Video
Scroll down to play through Video
Scroll down to play through Video
Boost Your Output with Scalable AI
Boost Your Output with Scalable AI
Tasq innovative solution connects core use cases within operations. Tasq simplify’s user flows to connect Models, Workflows, Data Analysis, Data Entry, all together with AI doing the heavy lifting. These core pillars can be utilized across any operational issue or workflow.
Our innovative solution simplifies complex tasks, saving you time and effort. It streamlines processes, enhancing efficiency and productivity.
Any user can find a known event & drag and drop over any time series data. Tasq then finds all the simular patterns across all assets. The user can give feedback on the results, Tasq then recalibrates based on the feedback and publishes this as a model to detect that same event moving forward across all assets.
Build Your Own AI Model
AI Data Analyst
AI Workflow
AI Data Entry
Any user can find a known event & drag and drop over any time series data. Tasq then finds all the simular patterns across all assets. The user can give feedback on the results, Tasq then recalibrates based on the feedback and publishes this as a model to detect that same event moving forward across all assets.
Build Your Own AI Model
AI Data Analyst
AI Workflow
AI Data Entry
Build Your Own AI Model
AI Data Analyst
AI Workflow
AI Data Entry
Any user can find a known event & drag and drop over any time series data. Tasq then finds all the simular patterns across all assets. The user can give feedback on the results, Tasq then recalibrates based on the feedback and publishes this as a model to detect that same event moving forward across all assets.
Build Your Own AI Model
AI Data Analyst
AI Workflow
AI Data Entry
Any user can find a known event & drag and drop over any time series data. Tasq then finds all the simular patterns across all assets. The user can give feedback on the results, Tasq then recalibrates based on the feedback and publishes this as a model to detect that same event moving forward across all assets.
Value of Tasq
Tasq Creates Clear Value Everytime
Discover the Advantages and Importance of Tasq
Tasq increases production & user productivity. Users can revolutionize the way they work, generating real ROI across operations. Engineers, Control Rooms, Field Teams, and more can now focus on meaningful work. Tasq eliminates non-value work and empowers users to create their own AI solutions, elevating operational efficiency.
Tasq increases production & user productivity. Users can revolutionize the way they work, generating real ROI across operations. Engineers, Control Rooms, Field Teams, and more can now focus on meaningful work. Tasq eliminates non-value work and empowers users to create their own AI solutions, elevating operational efficiency.
Productivity Boost
10x
Reduce Complexity
Tasq reduces the number of systems needed, cutting software costs and IT support by ~$2M/year.
Productivity Boost
10x
Reduce Complexity
Tasq reduces the number of systems needed, cutting software costs and IT support by ~$2M/year.
Productivity Boost
10x
Reduce Complexity
Tasq reduces the number of systems needed, cutting software costs and IT support by ~$2M/year.
Generate ROI
Tasq delivers a proven 10x return on investment, creating real production value.
Generate ROI
Tasq delivers a proven 10x return on investment, creating real production value.
Generate ROI
Tasq delivers a proven 10x return on investment, creating real production value.
Create Faster with AI
A better system to create, work, and manage in across operations. Deploy alongside your current workflows.
Create Faster with AI
A better system to create, work, and manage in across operations. Deploy alongside your current workflows.
Create Faster with AI
A better system to create, work, and manage in across operations. Deploy alongside your current workflows.
Comparisons
Tasq revolutionizes the way work gets done
Tasq revolutionizes the way work gets done
Compare your current time-intensive processes VS Tasq below. Level up the baseline of what your company can achieve and let AI handle the heavy lifting.
Compare your current time-intensive processes VS Tasq below. Level up the baseline of what your company can achieve and let AI handle the heavy lifting.
Manual Data Entry
Automated Data Entry
Failed to submit data
Data entry is time-consuming and doesn’t yield value
Generates recommendations and automatically enters data
Recommendations
Because this compressor size is 800hp, and the pressure is operating at 54% capacity, then do the following steps:
Check the pressure levels at the discharge of the second stage. If the pressure is too low, it may not be sufficient to feed the third stage.
Inspect the third stage compressor for any visible damage or wear. This could be causing the compressor to malfunction.
Verify the condition of the flange from the compressor discharge. Any leaks or damage here could affect the performance of the third stage.
Examine the gas lift compressor
Awesome
Audio Entry has been submitted successfully
Manual Data Entry
Automated Data Entry
Failed to submit data
Data entry is time-consuming and doesn’t yield value
Generates recommendations and automatically enters data
Recommendations
Because this compressor size is 800hp, and the pressure is operating at 54% capacity, then do the following steps:
Check the pressure levels at the discharge of the second stage. If the pressure is too low, it may not be sufficient to feed the third stage.
Inspect the third stage compressor for any visible damage or wear. This could be causing the compressor to malfunction.
Verify the condition of the flange from the compressor discharge. Any leaks or damage here could affect the performance of the third stage.
Examine the gas lift compressor
Awesome
Audio Entry has been submitted successfully
Time Intensive Search
AI Data Analyst
Fragmented materials and data
Data and materials are interconnected
Data 1
Data 2
Data 3
Data 4
Time Intensive Search
AI Data Analyst
Fragmented materials and data
Data and materials are interconnected
Data 1
Data 2
Data 3
Data 4
Write Code
Drag & Drop
Time-consuming
Faster and more efficient
Time series Model 1
In-line view
5
Language Model 4
Data view
Query 5
Analysis View
Forecast 3
Workflow View
Write Code
Drag & Drop
Time-consuming
Faster and more efficient
Time series Model 1
In-line view
5
Language Model 4
Data view
Query 5
Analysis View
Forecast 3
Workflow View
Noisy Lists
ML System
Static Systems
Feedback Retrains Models
Noisy Lists
ML System
Static Systems
Feedback Retrains Models
Variances/Thresholds/Curves
AI Data Analyst
High false positive rate
Low false positive rate
Variances/Thresholds/Curves
AI Data Analyst
High false positive rate
Low false positive rate
Optimization Models
Own Optimization Strategy
Optimization of each asset takes too much time
Optimization models identify what works best and what doesn't.
Optimization Models
Own Optimization Strategy
Optimization of each asset takes too much time
Optimization models identify what works best and what doesn't.
Manual Data Entry
Automated Data Entry
Failed to submit data
Data entry is time-consuming and doesn’t yield value
Generates recommendations and automatically enters data
Recommendations
Because this compressor size is 800hp, and the pressure is operating at 54% capacity, then do the following steps:
Check the pressure levels at the discharge of the second stage. If the pressure is too low, it may not be sufficient to feed the third stage.
Inspect the third stage compressor for any visible damage or wear. This could be causing the compressor to malfunction.
Verify the condition of the flange from the compressor discharge. Any leaks or damage here could affect the performance of the third stage.
Examine the gas lift compressor
Awesome
Audio Entry has been submitted successfully
Time Intensive Search
AI Data Analyst
Fragmented materials and data
Data and materials are interconnected
Data 1
Data 2
Data 3
Data 4
Write Code
Drag & Drop
Time-consuming
Faster and more efficient
Time series Model 1
In-line view
5
Language Model 4
Data view
Query 5
Analysis View
Forecast 3
Workflow View
Noisy Lists
ML System
Static Systems
Feedback Retrains Models
Variances/Thresholds/Curves
AI Data Analyst
High false positive rate
Low false positive rate
Optimization Models
Own Optimization Strategy
Optimization of each asset takes too much time
Optimization models identify what works best and what doesn't.
Manual Data Entry
Automated Data Entry
Failed to submit data
Data entry is time-consuming and doesn’t yield value
Generates recommendations and automatically enters data
Recommendations
Because this compressor size is 800hp, and the pressure is operating at 54% capacity, then do the following steps:
Check the pressure levels at the discharge of the second stage. If the pressure is too low, it may not be sufficient to feed the third stage.
Inspect the third stage compressor for any visible damage or wear. This could be causing the compressor to malfunction.
Verify the condition of the flange from the compressor discharge. Any leaks or damage here could affect the performance of the third stage.
Examine the gas lift compressor
Awesome
Audio Entry has been submitted successfully
Time Intensive Search
AI Data Analyst
Fragmented materials and data
Data and materials are interconnected
Data 1
Data 2
Data 3
Data 4
Write Code
Drag & Drop
Time-consuming
Faster and more efficient
Time series Model 1
In-line view
5
Language Model 4
Data view
Query 5
Analysis View
Forecast 3
Workflow View
Noisy Lists
ML System
Static Systems
Feedback Retrains Models
Variances/Thresholds/Curves
AI Data Analyst
High false positive rate
Low false positive rate
Optimization Models
Own Optimization Strategy
Optimization of each asset takes too much time
Optimization models identify what works best and what doesn't.
Manual Data Entry
Automated Data Entry
Failed to submit data
Data entry is time-consuming and doesn’t yield value
Generates recommendations and automatically enters data
Recommendations
Because this compressor size is 800hp, and the pressure is operating at 54% capacity, then do the following steps:
Check the pressure levels at the discharge of the second stage. If the pressure is too low, it may not be sufficient to feed the third stage.
Inspect the third stage compressor for any visible damage or wear. This could be causing the compressor to malfunction.
Verify the condition of the flange from the compressor discharge. Any leaks or damage here could affect the performance of the third stage.
Examine the gas lift compressor
Awesome
Audio Entry has been submitted successfully
Time Intensive Search
AI Data Analyst
Fragmented materials and data
Data and materials are interconnected
Data 1
Data 2
Data 3
Data 4
Write Code
Drag & Drop
Time-consuming
Faster and more efficient
Time series Model 1
In-line view
5
Language Model 4
Data view
Query 5
Analysis View
Forecast 3
Workflow View
Noisy Lists
ML System
Static Systems
Feedback Retrains Models
Variances/Thresholds/Curves
AI Data Analyst
High false positive rate
Low false positive rate
Optimization Models
Own Optimization Strategy
Optimization of each asset takes too much time
Optimization models identify what works best and what doesn't.
Integration
Seamless Integration
Seamless Integration
Tasq integrates with one or multiple data sources, embedding our intelligence layer into users’ workflows within two weeks
Tasq integrates with one or multiple data sources, embedding our intelligence layer into users’ workflows within two weeks
Embedding
Encoder
ML
LLM
Data Labeling
Query Mappings
Classification
Scada
Accounting
WellView
Maximo
Other
Embedding
Encoder
ML
LLM
Data Labeling
Query Mappings
Classification
Scada
Accounting
WellView
Maximo
Other
Embedding
Encoder
ML
LLM
Data Labeling
Query Mappings
Classification
Scada
Accounting
WellView
Maximo
Other
Embedding
Encoder
ML
LLM
Data Labeling
Query Mappings
Classification
Scada
Accounting
WellView
Maximo
Other
Testimonials
Hear from our customers
Hear from our customers
Tasq best in class product has a “Wow” factor, but don’t take our word for it.
Our AI notetaker has summarized calls with clients and their feedback here.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
AI Summary
Client reacts positively to the “build your own model” feature, stating that it is “Wow” & “Awesome”
AI Summary
Client expresses they want to use Tasq 5.0 to replace and centralize existing smart alerts.
AI Summary
Client expresses excitement about the audio transcription feature, stating that it would be amazing for well reviews which she considers the most arduous part of the process.
AI Summary
Client is enthusiasm for the pace of change within Tasq, articulating building your own queries and analysis through simple chat prompts and summaries. Using examples such as sand differentials, failures analysis groupings, etc is a game changer for being able to detect, review, and action a plan in mere minutes vs countless of hours trying to assemble the data.
AI Summary
Stated that automating the manual workflow would be amazing and take the manual nature out of it.
AI Summary
Client states that the new prompting features are very impressive & the current method of building models is very time and cost intensive.
AI Summary
Client expresses potential to integrate other data such as calibration reports, spills reports, manual inspections into the platform.
AI Summary
Client states that the “wheels are turning” in her head about different way that Tasq 5.0 can be utilized across operations.
AI Summary
Client expresses enthusiasm that Tasq is holistic to operations and not just focused on artificial lift optimization.
AI Summary
Tasq platform allows users to create custom models and workflows to address specific production challenges, providing more flexibility than their current software solutions.
AI Summary
Current software platforms allow users to manually adjust capacity curves and track downtime. In contrast the Tasq solution automatically models normal production and detects abnormalities, generating tasks to address issues without the need for manual adjustment.
Top Oil & Gas Innovators of 2021, 2022, 2023
Top Oil & Gas Innovators of 2021, 2022, 2023
Top Oil & Gas Innovators of 2021, 2022, 2023
Darcy Awards
Darcy Awards
Ready to Transform Your Oil & Gas Operations?
Experience the power of Tasq today
Ready to Transform Your Oil & Gas Operations?
Experience the power of Tasq today
Ready to Transform Your Oil & Gas Operations?
Experience the power of Tasq today