AI Operations Platform | Oil & Gas

The Intelligence Layer
Your Operations Is Missing.

Tasq is the AI replacement for human surveillance. Agents search and find patterns, deploy models, & deliver live time series workflows all within 2 minutes.

Book a Meeting See Demo

Live Signal Scan | Asset BaseLIVE

How often does this happen?

37 MatchesPressureTempDensityVibration

How Tasq Works

1

Your wells send SCADA data every few seconds (pressure, temperature, flow)

2

Tasq AI scans all that data and finds failure patterns before they cause problems

3

Tasq automatically runs diagnosis agents to identify root cause and next steps

4

Your team builds their own models in 2 minutes. No data scientists needed.

Production Models Running 100+ models in production

Liquid Loading91.4%

Pre Liquid Loading Event

Paraffin Buildup88.2%

Circulating Gas Lift Injection

Plunger Failure94.1%

Bad Plunger Setpoint Change

Compressor Valve87.6%

Compressor Valve Pre Failure

Dump Valve Stuck92.8%

Short Cycle Loading

Gas Lift Opt.89.5%

Injection Setpoint Change

24 Hour Timelapse 06:00 AM

Manual Operations

Tasq AI Operations

Captured Value | First Month Impact

5 models generated $700K in 1 month.

< 2 min

Pattern to deployed model

More events vs manual

$4M+

Captured value / 6 mo

Time Series Intelligence

The most accurate AI signal search in oil and gas.

Highest accuracy timeseries pattern matching available. One year of SCADA data scanned in 30 seconds. Every detection classified with root cause attached.

Pattern Match | Full Year SCADA

Search 12 months of raw signals in 30 seconds. No SQL, no feature engineering.

4x More Events Detected

Manual surveillance and troubleshooting waste too much time.

Root Cause Classification

Every detection auto classified with probable root cause.

Feedback Loop

Thumbs up/down on matches. Model accuracy improves continuously.

Signal Search | Pattern Matching

Scanning...

1 yr

SCADA searched

30s

Per pattern

91%

Accuracy

Query | How many events did manual surveillance miss this quarter?

Tasq detected 247 failure events across 412 wells this quarter. Manual surveillance logged 61 events over the same period.

4.05x more events detected vs manual logging

75% of missed events were pre failure indicators with 12+ hour lead time

Estimated missed value from undetected events: $1.2M

247

Tasq detected

Manual logged

4.05x

Improvement

Dump Valve | Manual vs Tasq Detection

Query | What is the root cause breakdown for this month?

Tasq classified 83 events this month with root cause automatically attached to each detection.

Liquid loading: 34 events | insufficient gas velocity (41%)

Equipment failure: 22 events | plugged choke + burner failure (27%)

Setpoint drift: 18 events | gas lift injection and plunger (22%)

Paraffin buildup: 9 events | tubing restriction detected 8 days early (10%)

Events classified

Root cause types

0 sec

Time to classify

Query | How has model accuracy changed with feedback?

Liquid loading model has received 312 feedback signals (thumbs up/down) since deployment. Accuracy has improved from 84% to 94.2%.

Initial deployment accuracy: 84.0% | 30 day accuracy: 94.2%

False positive rate reduced from 18% to 3.1% over 6 weeks

Model recalibrates with each feedback signal. No retraining needed.

94.2%

Current accuracy

312

Feedback signals

3.1%

False positive rate

Build Your Own Model

Build your own AI models,
under two minutes.

You know what a failing well looks like. Turn that pattern into a live AI model across your entire asset base. Load your own data and get answers automatically. No more waiting for someone else to build the model you want.

Drag and drop

Select any timeseries pattern in SCADA.

Thumbs up or down

Review matches. Confirm or reject to sharpen accuracy.

Publish and deploy

Model goes live across every well, instantly.

Auto classify

Every detection triggers downstream workflows.

< 2 min

Pattern to deployed model

$4M+

6 month captured value

30s

Full year SCADA scan

31 hrs

Before alarm (avg lead)

Agentic Workflows

Intelligence & Context for all operations workflows.

Each detection triggers a full downstream workflow covering the majority of what operations does every day.

Agentic Event Pipeline

Automated Downtime

Build Your Own Model

AI Work Management

Vendor Bidding

Operator Routing

Agentic Event Pipeline

Signal Detected

SCADA pattern match | 31 hrs before alarm

Root Cause Classification

AI classifies: liquid loading | insufficient gas velocity

Work Order Created

Auto assigned to field engineer | priority HIGH

Vendor Bids Surfaced

3 bids | ranked by mobilization time

Reliability Report

BOE recovery tracked | feedback loop updated

Automated Downtime

"What is the downtime today?"

Natural language prompt triggers workflow

Downtime List Populates

All wells with production loss surfaced automatically

Fill in Reason

Root cause attached from AI classification

Update Production Accounting

Hours, volume, and reason pushed to accounting system

Create Projects

Biggest issues auto converted to tracked projects

Graph + Send Exec Report

Visual summary generated and emailed to leadership

Build Your Own Model

Liquid Loading Causes Well to Go Down

Production event identified in the field

Build Liquid Loading Model

Drag over pattern in SCADA | model created in under 2 min

Deploy Across Asset Base

Model scans all wells continuously | no code

Catch Next Issue Before Production Is Noticed

31 hr avg lead time | feedback loop sharpens accuracy

AI Work Management

"Prioritize This Design for This Issue"

Engineer sets preference via prompt

New Ticket Created

Work order generated with design type and priority

Memory Stored

Tasq remembers this preference for future decisions

Recommendation on Every Future Job

Context carried forward | no repeat instructions needed

Vendor Bidding at Scale

22 Control Valves Leaking

Issue detected across multiple assets

Bid Out to Manufacturers

RFQ sent to qualified control valve vendors

Collect + Compare Plans

Bids ranked by cost, mobilization, and qualification

Email Bids and Comparison

Summary with recommendation sent to decision maker

Intelligent Operator Routing

"Route New Wells Going Down but Not to 0"

Custom routing logic defined in plain language

Route Plan Generated

Optimized route based on geography and priority

Update Work Order System

Internal system synced with new priorities

Priorities Reassigned to Operators

Field team notified with updated route and tasks

Why Tasq

The AI Control Room. The only zero code AI surveillance built for oil and gas.

THE ALTERNATIVES

xLow code tools still require data science support

xGeneric anomaly detection: high false positive rate

xSCADA dashboards show what happened, not what is about to

xManual surveillance misses 50 to 90% of events at scale

xMonths of backlog to get a new pattern into production

TASQ BYOM

+No code. Build from your own well knowledge

+12 months of SCADA in 30 seconds per pattern

+Learns from you

+Automatically troubleshoots issues live across entire assets

+New model deploys in under 2 min, runs continuously

By Role

What Tasq does for your team.

Control Room

Creating models that detect any issue across the asset base

Updating procedure and assignment intelligence automatically

Automating the entire downtime process end to end

Engineers

Agentic reporting that writes itself from detected events

Physics based calculations and downhole models on demand

Equipment projects tracked from detection to resolution

Optimization intelligence for setpoints, lift, and injection

Managers

Agentic Budgeting

Plans on demand

Field dispatch on demand

Best in class reporting

Why Time Series Search Matters

Your data already has the answers. Tasq finds them.

Every well sends thousands of data points per day. The patterns that predict failure, optimize production, and prevent downtime are already in that data. The problem has never been the data. It has been the ability to search it.

Tasq searches raw time series across every well, every channel, every timestamp. No feature engineering. No data scientists. No waiting months for a model. Your engineers select a pattern and Tasq finds every match across the entire asset base in 30 seconds.

That is why everything downstream actually works.

30s

Per year of data

Full asset base scanned instantly

91%+

Out of the box accuracy

Higher than internal efforts from day one

0

Data scientists required

Engineers build and deploy models directly

100+

Models in production

Running continuously across thousands of wells

The Intelligence Layer
Your Operations Is Missing.

The most accurate AI signal search in oil and gas.

Build your own AI models,
under two minutes.

Drag and drop

Thumbs up or down

Publish and deploy

Auto classify

Intelligence & Context for all operations workflows.

Agents working together 24/7.

The AI Control Room. The only zero code AI surveillance built for oil and gas.

What Tasq does for your team.

Your data already has the answers. Tasq finds them.

See it run on your assets.

The Intelligence LayerYour Operations Is Missing.

The most accurate AI signal search in oil and gas.

Build your own AI models,under two minutes.

Drag and drop

Thumbs up or down

Publish and deploy

Auto classify

Intelligence & Context for all operations workflows.

Agents working together 24/7.

The AI Control Room. The only zero code AI surveillance built for oil and gas.

What Tasq does for your team.

Your data already has the answers. Tasq finds them.

See it run on your assets.

The Intelligence Layer
Your Operations Is Missing.

Build your own AI models,
under two minutes.