Solutions

Linecraft AI's software product suite provides artificial intelligence-enabled Industrial IoT solutions. It begins with hassle-free data collection from PLCs, runs proprietary algorithms to process the data, and creates meaningful, user-friendly reports and charts. It allows manufacturers to gain insights into key performance indicators(KPIs) of their lines, and also sends personalized recommendations to optimize their production lines.

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Linecraft nudge

Linecraft nudge

Linecraft nudge

Linecraft nudge

The Linecraft AI product identifies these anomalies and non-ideal conditions and notifies the appropriate stakeholders through SMS or WhatsApp notifications. The product allows the user to drill-down into the incident and figure out the root cause

Improve Response Time and Productivity

Reduce the overhead time it takes to be informed of mishaps and faults on the line.

Receive Personalised Alerts

Self-configure alerts for parameters that are important to you.

Measure

Have on-the-go alerts which inform you exactly where, when and what is wrong on the line by SMS, Email and in app notifications.

Escalate

Supervisors and leadership can be notified when errors are happening too frequently and are not addressed in the appropriate amount of time.

Be Informed Anytime, Anywhere

Have on-the-go alerts which inform you exactly where, when and what is wrong on the line by SMS, Email and in app notifications.

linecraft loss lens

linecraft loss lens

linecraft loss lens

linecraft loss lens

Linecraft AI’s attribution product analyzes raw data straight from the machine and constructs an accurate picture of historic events. It then automatically classifies the different faults and generates reports needed for management to take the right actions.

Ground Truth

Get reliable data to create accurate accountability

Root Cause Analysis

Deep dive in to the root causes of faults to help in diagnosis

Track

Keep an efficient record of losses and fixes

Analyze

View trends and summaries of the losses over a period of time for analysis

Review

View previous classes of problems and their fixes to make subsequent fixes easier

linecraft boost

linecraft boost

linecraft boost

linecraft boost

The product uses ML algorithms to model raw data sources on your line - PLCs, CNCs, Robot controllers etc along with encoded domain expertise to make actionable recommendations using which users can optimise the throughput of their constraint cells or stations.

Be Informed

Identify constraints in complex serial and parallel path part flows.

Fix Constraints

View actions to fix these constraints, prioritised by impact.

Deep dive

Verify and analyse the opportunities by drilling down into instances.

Measure

Enter the fix and measure the results of the change.

Monitor

Monitor the line for sustained improvements.

linecraft linefact

linecraft linefact

linecraft linefact

linecraft linefact

Linecraft AI allows line integrators to easily troubleshoot issues in meeting cycle time, and monitor the asset and line performance during the commissioning and handover phase remotely. It makes it extremely easy to generate reports and demonstrate to the customer the parties responsible for any cycle time and production losses.

Prioritize

Dynamic priority given to upstream/downstream stations based on the bottleneck.

Improve Buffer Utilization

Optimal buffer utilisation based on the downtime patterns of the stations.

Synchronize Interfaces

Re-synchronization of gantry interfaces after a stoppage.

Sequence Intelligently

Optimal sequencing of rework parts entering the main flow.

Type specific adjustment

Part variant based adjustment to process sequencing.

Linecraft In-Loop

Linecraft In-Loop

Linecraft In-Loop

Linecraft In-Loop

The Linecraft AI In-Loop product listens to all the machine states on the line in real time and publishes crucial information that PLCs can consume to make dynamic decisions based on these inputs.

Prioritize

Dynamic priority given to upstream/downstream stations based on the bottleneck.

Improve Buffer Utilization

Optimal buffer utilisation based on the downtime patterns of the stations.

Synchronize Interfaces

Re-synchronization of gantry interfaces after a stoppage.

Sequence Intelligently

Optimal sequencing of rework parts entering the main flow.

Type specific adjustment

Part variant based adjustment to process sequencing.

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