Product discovery
Shape business goals, user roles, data sources, alerting rules, operational constraints, and the first version that is worth building.
AI-driven application development
Practical software built around the way your business really runs.
DBIT pairs your operational knowledge with focused application design, AI-assisted development, and careful engineering execution. The first product track is a robust web-based monitoring platform with an optional lightweight agent for deeper system visibility.
- Operator-led
- Your monitoring experience drives the product decisions
- AI-assisted
- Faster prototyping with disciplined engineering review
- Product-minded
- Built toward useful, maintainable offerings clients can trust
Application services
From strong domain idea to usable software.
The goal is not to sprinkle AI on top of a website. It is to turn real workflows into software that can be tested, improved, secured, and shipped with confidence.
Web application builds
Design and build dashboards, admin tools, workflows, reporting screens, APIs, authentication, and the backend services that make the application reliable.
AI-assisted delivery
Use AI to accelerate research, prototyping, code generation, documentation, and testing while keeping architectural decisions grounded in practical engineering.
Agent and integration design
Plan lightweight agents, collectors, service checks, webhooks, notifications, and secure communication paths between customer environments and the platform.
First product track
A web-based monitoring platform with practical AI support.
This monitoring tool can grow from your understanding of uptime, service health, alert noise, escalation paths, and what teams actually need when something breaks. The first version should make status obvious, incidents easier to understand, and the next action clearer.
Service and endpoint monitoring
Track uptime, latency, status codes, certificates, scheduled jobs, integrations, and core business checks.
Optional lightweight collector
Installable agent concepts for host metrics, process checks, log signals, local probes, and secure outbound reporting.
Smarter alert context
Group related failures, summarize incident timelines, flag likely causes, and reduce repeat alert noise.
Escalation and runbooks
Route alerts to the right people, attach runbook steps, capture acknowledgements, and preserve incident history.
How we can build it
A measured path from concept to product.
We can start with a focused MVP, prove the monitoring model, then add agents and AI features where they provide real operational value.
Monitoring MVP
Core dashboard, monitored resources, checks, incidents, alert rules, authentication, and a usable admin experience.
Collector and integrations
Agent design, secure enrollment, metric ingestion, notifications, webhooks, and customer environment boundaries.
AI incident assistant
Incident summaries, likely-cause hints, runbook recommendations, alert deduplication, and plain-English reporting.
Build with DBIT
Have an application or monitoring product you want to shape?
Share the workflow, users, systems to monitor, alerting needs, and the problems you want the first version to solve. DBIT can help turn that into a product plan and working software.
Available for application planning, MVP builds, monitoring product design, and AI-assisted development.