Autonomous Operations for Robotics

Robot and cobot cells, machine vision, and AI-enabled planning, deployed on your floor. Automation consulting for manufacturing, built in short sprints with hard metrics that prove throughput, yield, and margin before the next phase begins.

Autonomous operations / Live
TALOS / ROB-01
v.2026
CELL 01VISION QCOEE 92%

Typical outcomes

Hard metrics, measured on the floor.

  • Scrap and rework drop fifteen to thirty percent as machine vision catches defects at the source instead of the end of the line.
  • Throughput in automated cells improves twenty to forty percent with consistent cycle times across every shift.
  • OEE in targeted cells rises ten to twenty-five percent through real-time monitoring and optimization.
  • Capacity grows without proportional headcount, and overtime stops being the default response to demand.

How it works

A six-phase engagement.

  • Operational Discovery. Floor walkthroughs and interviews with ops leadership to map cycle times, scrap, bottlenecks, and labor dependencies.
  • Opportunity Assessment and Roadmap. Robot, cobot, and vision use cases scored by ROI, with an impact versus effort roadmap and a 30/60/90 plan.
  • Solution Design and Tool Selection. Cell layout, equipment, and vision architecture defined around your operation. Tool agnostic, no vendor push.
  • Implementation Sprint. The first live deployment, configured, calibrated, and handed off as a pilot ready cell.
  • Training and Adoption. Hands on training, SOPs, and internal champions so the system runs without consultant dependency.
  • Measurement and Optimization. KPIs baselined and tracked, with optimization recommendations and the next phase roadmap.

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The concept

Proof before capital.

Most automation stalls because it asks for a large commitment before anyone has seen a result. Talos runs it the other way around: short sprints that prove throughput, yield, and OEE gains against a live baseline before the next phase of capital is committed.

Each sprint de-risks the one after it. A pilot ready cell becomes the evidence for the next investment, so modernization moves in measured, defensible steps instead of a single upfront commitment that stalls in pilot purgatory.

VALIDATION GATESBASELINEPILOT CELLVISION QCSECOND CELLSCALECAPITAL COMMITTED
TALOS / PROOF
v.2026
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The system

Automation that fits your existing floor.

We layer robots, cobots, machine vision, and AI on top of the operation you already run. No rip and replace, no forced migration. Lower disruption, faster value, and an autonomous layer that respects your equipment and your constraints.

INTEGRATED CELLEXISTING FLOORTALOSCONTROL LAYERRobot cellAssembly, tendingMachine visionInline QCOEE dashboardLive metricsAI planningScheduling, SOPsONE AUTONOMOUS LAYER OVER YOUR EXISTING EQUIPMENT
TALOS / CELL v.2026
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Outcomes

What this looks like on the floor.
Each engagement sets its own baseline before any capital is committed. These are the typical ranges across focused mid-market robotics deployments, not guaranteed outcomes.
15 to 30%
Scrap and rework reduction
Machine vision catches defects at the source, not at the end of the line.
20 to 40%
Throughput in automated cells
Real-time monitoring and optimization in targeted cells.
10 to 25%
OEE improvement
Real-time monitoring and optimization in targeted cells.
5 to 10
Use cases identified
High-value automation opportunities scored by ROI in discovery.

What we implement

Working cells, not slide decks.

Every engagement leaves the client with a live system on the floor: configured cells, documented workflows, and the data to run them.

Robot and cobot cells

Configured cells for assembly, machine tending, handling, and finishing, sized to your part families and built for consistent cycle times across shifts.

Machine vision quality control

Inspection that catches anomalies at the source, with parameter capture and traceability, so scrap and rework stop being the feedback loop.

AI-enabled planning and scheduling

Where it pays off, AI handles scheduling, anomaly detection, and operational reporting, turning scattered floor data into decisions.

Digital work instructions and SOPs

Critical process knowledge moved out of a few operators' heads and into documented, repeatable, transferable workflows.

Real-time OEE and floor dashboards

Throughput, yield, scrap, and cycle time captured live, so leadership manages from data instead of yesterday's reports.

Automation roadmap and ROI baseline

A prioritized set of use cases scored by impact and effort, with a clean baseline that justifies each investment before capital is committed.

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Frequenly Asked Questions

We've tried automation vendors before and nothing got implemented. How is this different?
Can you do this without stopping our production?
We already have robots. Can you improve what we have instead of starting over?
Will my team see this as replacing them?
We don't have clean data to justify the investment internally.
Are you vendor agnostic, or do you replace our integrator?
How fast will we see results, and how do we avoid pilot purgatory?

Design solutions built to inspire, engage, and perform.