Robot integration and AI for industrial sites
We deploy the robots, wire them into your CCTV, PLCs and MES, and add an AI layer that acts within limits you set.
AI-generated image
Deploy
Integrate
Reason
The problem
Robots, cameras and control systems come from different vendors and different decades, and each works alone. The cost shows up as missed events, manual re-planning and operators buried in alerts.
Every fleet has its own software, map and alerts. Nothing coordinates across them.
Streams are recorded, rarely reviewed. Video is evidence after the fact, not a live signal.
MES, WMS and SCADA hold the context. Someone still has to spot it and act.
Every new sensor adds notifications. Operators tune them out. The one that matters gets lost.
What's missing is the layer that connects it all and turns signals into action.
See the solutionsSolutions
From the robot on the floor to the action in your MES, with one owner when something breaks.
Deploy
We select, deploy and commission robots for live sites: AMRs for intralogistics, arms and cobots for handling and quality, quadrupeds and inspection robots for patrols and hard-to-reach assets.
Integrate
Your cameras become sensors. Your PLCs, MES, WMS and ERP become context and actuators. No rip and replace.
Reason
Vision-language and language models read video, robot telemetry and process data together. They pick out what matters and trigger the next step, within limits you set.
Line feeding, pallet moves and tugging between cells.
Handling, kitting and quality cells beside people.
Patrols and inspection on stairs, grating and rough ground.
Fixed-route rounds: gauges, thermal and acoustic checks.
Imagery is AI-generated. It does not show client sites or specific robot products.
Video as a sensor
How it works
Autonomy where rules are clear. People where judgement matters.
Cameras, robots, PLCs and business systems stream video, positions, states, orders and alarms.
Vision and data models turn streams into events: a person in a restricted zone, a pallet in the wrong bay, a gauge out of range.
The AI layer weighs each event against schedules, procedures, history and policy, and works out what should happen next.
Actions run through systems you already use: robot dispatched, work order opened, operator notified, line hold requested.
Human in the loop
You set what runs on its own, what needs approval and what always goes to a person. Every action is logged: who or what acted, and why.
Have a site in mind? Tell us what runs there today.
Tell us about your siteUse cases
Each has a measurable target, set per site in discovery. We don't quote numbers before we've seen your data.
Cameras flag movement at the fence. The AI checks shift rosters and access logs, sends a quadruped to verify, and escalates to the control room when an intrusion can't be ruled out.
Target fewer false-alarm dispatches, faster response
CCTVthenAIthenQuadruped
AMRs feed the line. When MES signals a changeover or a starved station, missions re-prioritise automatically. No manual re-planning.
Target fewer station starvation minutes and manual re-plans
MESthenAIthenAMR fleet
Line cameras and a cobot work as one cell. Defects are classified, parts set aside, events linked to the batch in MES. Borderline cases go to a person.
Target fewer escaped defects and manual inspection hours
CamerathenAIthenCobot
Existing CCTV tracks people near forklifts and robots. Routine work is ignored; genuine risk triggers warnings and a slow-down request through the PLC. Safety-rated scanners stay the protective layer.
Target fewer near-misses and unnecessary stops
CCTVthenAIthenSlow‑down
An inspection robot reads gauges, thermal signatures and sound on a fixed route. Deviations become work orders, with images, ranked against the maintenance plan.
Target more rounds completed, faster finding to work order
RobotthenAIthenWork order
Gate and dock cameras identify trucks and load status. The AI matches them to WMS bookings, assigns docks and flags mismatches.
Target shorter truck dwell, fewer dock mismatches
CamerathenAIthenWMS
Scenarios illustrate what the architecture enables. They are not past client projects.
Approach
Four steps, a decision gate after each. Nothing scales until a pilot proves value on your site.
01
Typically 2–4 weeks
We walk the site, map systems, cameras and processes, and pick one use case with a measurable target.
OutputUse-case brief, architecture, success criteria.
02
Typically 6–12 weeks
One area, one workflow, live operations. People approve every action until you decide otherwise.
OutputResults against criteria, go / no-go.
03
Typically 2–4 months
Full integration, safety validation, policies, training, handover.
OutputProduction system, runbooks, trained operators.
04
Ongoing
New areas, sites and use cases reuse the same integrations and policies.
OutputRoadmap, support, improvement.
Durations are typical ranges, not commitments.
Pilot first
Principles
Every deployment starts from a site risk assessment. We design to the relevant standards, such as ISO 10218 and ISO 3691‑4. The AI layer never overrides a safety-rated system.
Robots, cameras and models chosen for the job. Open protocols, so you are never locked in. Not even to us.
Video and process data can stay on site. Models run locally when latency or confidentiality demand it.
Cloud means EU regions. Camera analytics are designed for GDPR from day one: defined purpose, minimal data, set retention.
Every event, recommendation and action is logged with inputs, policy and approver. Any action can be reconstructed.
Autonomy is a setting, not a default. You decide what runs alone, what needs approval, and what never does.
FAQ
Usually not. Most IP cameras, VMS platforms and industrial systems expose standard interfaces. If something can't be integrated, we tell you in discovery.
Both ways work. We recommend robots for your task, environment and existing fleet and procure them through their manufacturers, or we integrate robots you already own. We don't build robots and we don't sell one brand.
Only where you allow it. Each action type is set to automatic, approval required, or human only. Safety stays with safety-rated systems and people.
Where you decide. The AI layer can run fully on-premises or at the edge. Cloud defaults to EU regions. Video stays on site unless you agree otherwise.
In stages, so you never commit to more than the next step. Discovery is scoped and quoted up front. The pilot typically runs 6–12 weeks against success criteria agreed in discovery; if it misses them, you stop there. Integration and ongoing support are quoted once the pilot has proved value.
Question not here?
Email a questionContact
Send a short note: your site, your systems, the problem to solve. We reply with a few questions and a suggested next step.
contact@sofiarobotics.comUseful to include: site type, size, robots and cameras in place, the one task you want handled faster.
