A quality inspector standing at a production line holding a tablet that shows a defect trend, with specific plant machinery running behind them
Google Cloud Premier Partner Elastic Generative AI Partner 70+ certified engineers Plant, automotive and industrial delivery

SquareShift helps manufacturers catch defects sooner and find the plant's past work faster.

We work across workflow automation, decision intelligence, Looker BI, search, observability, and AI-led engineering for plant, quality, service, and industrial IT teams.

Quality, defects and rework Field service and warranty Production reporting and maintenance Plant systems and industrial IT
01 Manufacturing credibility

We understand the plant data, service records, quality systems, and closed networks manufacturers run.

Our manufacturing work spans quality data, service records, automotive platforms, logistics environments, and closed networks. That context shapes how we apply AI, analytics, search, and observability.

Elastic Generative AI Partner Google Cloud Premier Partner Google Cloud Data Analytics specialization Google Cloud Machine Learning specialization Looker Consulting Partner Elastic Partner Claude Certified Architect
  • Quality MLEarly defect forecasting and prescriptive process tuning for a Turkish wheel maker supplying global automotive brands.
  • Issue searchA bilingual model for a Japanese truck maker surfaces the three closest past issues for every new quality report.
  • Closed networksA fully air-gapped Elastic Stack for critical infrastructure and global log replication for a German automotive manufacturer.
02 AI workflow automation

The delay is usually the handoff, not the decision.

SquareShift maps the workflow, automates repeatable steps, and keeps named review where plant or customer decisions require it.

01

Non-conformance reports

Read the report, pull part and batch history, and route the case to quality engineering.

02

Supplier claims

Match claims against inspection, defect photos, warranty records, and purchase data.

03

Warranty triage

Group field failures by symptom, build history, geography, and part family before review.

04

Maintenance follow-up

Turn shift notes, work orders, and sensor flags into a queue a supervisor can act on.

05

Engineering change requests

Collect quality, production, service, and supplier impact notes before sign-off.

06

Parts substitutions

Check manuals, stock position, supplier constraints, and service history before recommending an alternative.

03 Decision intelligence and conversational BI

Plant leaders should not learn what happened from the shift report.

SquareShift builds conversational BI on approved production metrics, so managers can ask plain-English questions about yield, downtime, quality, service, and supply risk.

01

Shift performance

Ask for first-pass yield, downtime, scrap, or throughput by line, cell, shift, or supervisor.

02

Quality containment

Trace which lots, lines, suppliers, or service regions are tied to a defect pattern.

03

Maintenance prioritization

Compare downtime drivers, overdue work orders, repeat failures, and parts availability.

04

Warranty exposure

Estimate which field issues are growing by product family, build date, market, and supplier.

05

Supply chain risk

Connect late parts, supplier quality events, and production impact before the weekly report.

06

Executive reporting

Give plant, finance, service, and quality leaders the same governed number.

04 BI migration and data platform work

Move manufacturing reporting to Looker without losing the production number people trust.

SquareShift joins quality, production, service, and finance data, then uses Dashport to assess, translate, migrate, and assure reporting moves to Looker.

01

Plant scorecards

Migrate yield, scrap, downtime, and throughput dashboards without changing definitions.

02

Finance reconciliation

Align plant performance reporting with cost, inventory, and warranty numbers finance already trusts.

03

Quality reporting

Move defect, rework, audit, and supplier dashboards into a governed Looker semantic layer.

04

Service analytics

Bring dealer, field-service, warranty, and parts reporting onto the same model as production data.

05

Dashboard rationalization

Find duplicate reports before migration so the new estate is smaller.

06

Cutover assurance

Validate visuals, data, and SQL-level parity before plant and finance users are moved.

06 Observability and AIOps

Downtime starts as a signal nobody was watching.

SquareShift unifies logs, metrics, traces, and operational signals, then adds anomaly detection and triage for segmented, on-prem, or air-gapped environments.

01

Line telemetry

Correlate plant-system signals with application and infrastructure events before a line stops.

02

Air-gapped monitoring

Deploy observability where external network access is unavailable and updates must be controlled.

03

Global log replication

Replicate high-volume logs across automotive platforms without one failure point.

04

Maintenance alerts

Use anomaly detection on plant and application telemetry to flag drift before downtime.

05

Supply chain platforms

Monitor logistics and transportation data pipelines during migration, cutover, and production run.

06

Industrial IT handoff

Give plant operations, service operations, and IT one place to see incidents and evidence.

07 AI-led app and platform engineering

Build the manufacturing apps, portals, and workflow systems your operations team cannot wait for.

When the work is an app, platform, integration, or workflow system, SquareShift uses AI-assisted engineering with senior ownership and the delivery model that fits the constraint.

Build movement

Use this when the answer is software, not another report.

Use this for a quality application, aftersales tool, production reporting layer, maintenance workflow, supplier portal, or industrial data platform.

OFFER

Vanguard Teams

A fixed team builds a proof of concept, an MVP, and production software to a committed plan.

OFFER

Embedded enablement

We help engineering teams already using AI coding tools add operating model, review, and delivery discipline.

OFFER

Forward Deployed Engineers

A senior engineer embeds with plant, service, or industrial IT teams and ships against real systems.

08 Compass AI and Atlas AI technical buyers

Once AI is inside engineering work and production applications, someone owns its cost, security, and quality.

Compass AI and Atlas AI help teams see AI use, cost, security, prompts, compliance, and answer quality across engineering work and production AI applications.

OFFER

Compass AI

Compass AI shows what engineering AI tools cost, where they are used, who wrote what with which model, and where prompts or generated code create security risk.

  • Cost visibility by team, tool, and model.
  • Security signals for prompts, secrets, and risky generated code.
  • Adoption evidence for engineering leaders using AI-assisted development.
OFFER

Atlas AI

Atlas AI is for production AI applications, including quality-inspection models, service copilots, RAG applications, and agentic workflows.

  • AI application cost and usage visibility.
  • Prompt operations, security review, and compliance evidence.
  • Answer-quality visibility for applications that use retrieval or generated responses.

Bring the quality workflow, service knowledge gap, reporting problem, or AI product that needs to move now.

Talk to SquareShift