Drop here

When you pay for service trips that fix nothing

Diagnose faults remotely in natural language and avoid costly service trips. Observe monitors machines, predicts failures, and thanks to the CoCo assistant allows you to talk to devices in natural language.

I want to diagnose machines remotely

Observe turns firefighting into intelligent loss prevention.

Classic on-site machine service drastically reduces a manufacturer's profitability. When a failure occurs, the engineer arrives unprepared, wasting days just locating the fault. Observe continuously connects dynamic telemetry data from PLC controllers and IoT sensors with static technical documentation. The knowledge base comes to life thanks to the CoCo AI assistant. Instead of analyzing complex charts, you simply ask CoCo a question in natural language about the production line status. When a device shows an anomaly, the system automatically generates full diagnostic context and matches a repair instruction to the machine's current state. The technician immediately knows which part to bring and fixes the fault on the first visit (First-Time Fix), radically reducing logistics costs.

Anomaly detected

An IoT sensor reports an irregularity

Observe builds context

Telemetry + technical docs + history

Solution goes to the technician

Repair steps and part list for the first visit

First-Time Fix

Machine back online, logistics cost down

I want to diagnose machines remotely

Lead magnet

Diagnose the real cost of hidden downtime and lost knowledge.

Pick the problem you're solving — your back-of-the-envelope number in 30 seconds.

Service dispatch savings calculator

Machines under service120

5500

Avg. engineer dispatch cost€1,200

1003,000

Avoidable dispatch cost eliminated

€46,000 – €81,000

per year

≈ 38 – 67 of 480 unplanned dispatches avoided per year.

Avoidable dispatches resolved remotely60%

Cut avoidable dispatches and get the report

How we calculated this

4 unplanned (corrective) dispatches per machine per year — planned maintenance is not avoidable.
20% of those dispatches are avoidable (2025 Field Service Benchmark: 3–24% depending on maturity).
Observe converts 60% of avoidable dispatches into remote resolutions (range 40–70%, which drives the range shown).
Net effect: about 12% of all unplanned dispatches avoided.
Formula: machines × dispatches/machine/year × avoidable share × remote capture rate × dispatch cost.

Indicative estimate based on industry benchmarks and the assumptions above, not a commitment. Actual results depend on your own data.

Compliance & technology

Your intellectual property always stays with you

In the industrial sector, delays in signal transmission and concerns about leaking technological secrets from production floors are key implementation barriers. That's why Observe uses an Edge-First architecture. Data from sensors and PLC controllers can be analyzed fully locally, directly at the machine. Only anonymized, secure insights and anomaly alerts reach the cloud — guaranteed to be stored on servers in the European Union (EU-Residency). You get powerful AI predictive support without exposing critical infrastructure to network risks or violating your factory's internal security procedures.

Raw data with PII Anonymized Stays in EU

Deployment variants

Private Cloud

Full sovereignty and data isolation in your own server infrastructure.

Hybrid Model

Local processing in your own infrastructure combined with the flexibility of a secure cloud.

SaaS

Fast start on dedicated, certified servers located in Europe.

Integrations

Confluence

Google Drive

Microsoft Office

Microsoft Teams

Jira

Outline

PDF

Talk to our compliance team

Proof of credibility

Enterprise-class experience combined with Polish scientific expertise.

The architecture of the co.brick AI platform is led by Rafał Bałaga (CEO & Founder) — co-creator of the international success of the Hybris platform (acquired by SAP) and former Managing Director of SAP Labs Poland. We know how to build flawless systems resistant to technical debt and the test of time. We don't test unproven theories on your organization. Our advanced predictive algorithms and anomaly detection systems are developed together with the Polish Academy of Sciences (PAN), basing our analyses on hard engineering and the laws of physics. The stability and scale of the venture are also evidenced by the fact that our research and platform have been co-funded by the National Centre for Research and Development (NCBR).

Book a consultation

Organizational change

Education and Reducing Friction

Implementing a CoCo AI assistant is not just about technology; it is also a change in the team's way of working. Successful adoption requires education, transparent communication, and showing employees concrete benefits. That's why we help leaders drive organizational change without resistance.

Start with a small pilot team, quickly demonstrate the first wins, then scale to the whole organization.

How to increase company productivity with a CoCo AI assistant and avoid team resistance?

A practical guide to driving change in an organization: from the first conversation with the team, through quick wins, to lasting habits built around a CoCo AI assistant.

Start making decisions based on facts

You don't buy a pig in a poke. We run the entire pilot deployment on your real operational data, showing measurable ROI before you sign a long-term contract.

Start a pilot on your own data Book a 15-minute consultation