Every healthcare organization depends on life-critical equipment. Ventilators. Monitors. Infusion pumps. Imaging equipment.
The information needed to understand that equipment already exists — in manuals, invoices, service records, warranties, calibration certificates, regulatory approvals and people’s experience.
Dawam connects that knowledge to the equipment itself.
For any life-critical device, there is usually no shortage of information. The problem is that it is scattered.
A manual may sit in a file cabinet. A calibration certificate may live in a different system. A warranty may be buried in an email. A repair decision may exist only in a biomedical engineer’s memory.
When a device is needed, someone has to reconstruct the picture — find the right document, find the right technician, check the calibration status, understand what changed, work out whether it’s ready now.
Dawam exists to remove that information latency. It creates a persistent digital identity for the physical device and connects its identity, knowledge, history and readiness into one context.
Dawam is built for organizations whose care depends on physical equipment. It makes their dependency on that equipment:
Know what the device is and where it is.
Bring together the documentation, history and knowledge surrounding it.
Use grounded intelligence to understand what matters and what deserves attention.
The result is an intelligence layer around the physical device — without requiring the organization to abandon the systems it already uses.
HTM/EAM manages the equipment register.
CMMS manages maintenance work.
ERP manages the financial and procurement record.
Document systems manage files.
General AI manages conversations.
Dawam starts with the physical device.
Its fundamental question is: “What do we know about this exact device, right now — and is it ready?” That distinction is the foundation of the product.
Every device added to Dawam becomes an Asset Intelligence Profile — AIP. AI reasons over this context rather than treating the device as another item in a generic database.
Make, model, serial number, location and other device facts.
Manuals, specifications, warranties, calibration certificates, regulatory documents and other attached evidence.
AI-derived claims, recommendations and open investigations grounded in that evidence — never a silent change to the Identity or Availability Status record.
Past investigations, decisions and activity recorded against the device over time.
The people who know a device best often carry years of experience in their heads. When they move on, that knowledge can disappear with them.
Dawam turns experience, history and documentation into operational memory attached to the device — so the organization does not have to start from zero every time someone new encounters the equipment.
The device keeps its context. And every investigation, report and recorded event can add to that understanding over time.
Dawam’s AI does not simply answer questions from general knowledge. It reasons over the knowledge and evidence associated with the specific device. A biomedical engineer can ask:
The answer is grounded in the device’s own context, with relevant evidence surfaced alongside the assessment, and an explicit escalation notice wherever the question touches safety. Dawam is not a clinical decision-support or diagnostic tool, and it never reasons about a patient’s condition or treatment. A qualified biomedical engineer, clinician or authorized staff member always makes the final determination that equipment is fit for use — Dawam assembles the evidence toward that determination, it never makes it.
Your organization may already have:
Dawam does not need to become the system that replaces all of them. It sits above and across the existing ecosystem, connecting the device-specific knowledge those systems and people already hold.
HTM/EAM manages the equipment. CMMS maintains it. Dawam understands it.
That dependency deserves more than an inventory record. It deserves:
Dawam is being built to make that intelligence accessible to the people who depend on that equipment every day.
Not another place to store equipment records. An intelligence layer for the equipment your care depends on.
Life-critical equipment already depends on being understood.
Know before you need it.