Qeltrava Delivery OS
Our systematic framework to ensure flawless software architecture, transparent sprint progress, and clear business outcomes.
Delivery Phases
1. Diagnose & Design
We map your operational landscape, identify where AI and modern architecture create ROI, and compile a 90-day execution roadmap before writing code.
2. Architect & Build
Dedicated engineering pods build in 2-week iterations — modular, tested, and documented. Every milestone ends with a working demo, not a static presentation.
3. Validate & Deploy
Every rollout undergoes automated test suite sweeps, HIPAA/SOC 2 compliance checks, performance profiling, and an incremental deployment window.
4. Optimize (Retainer)
Post-release, we provide dedicated support pods for cloud cost optimization, agent telemetry monitoring, server maintenance, and product features velocity.
How Qeltrava AI Thinks & Executes
Hover over each execution node along our spine to see our core values and phase metrics.
1Identification of the need
Diagnosing operational inefficiencies, analyzing legacy architectures, and defining clear business goals.
Audit Complete in 5 Days2Create digital solutions
Drafting scalable cloud blueprints, defining agent workflow pipelines, and security compliance parameters.
24-Hour Discovery Blueprint3Develop a software
Writing modular, clean, and testable codebases in rapid sprints under dedicated pods.
4-Week Rapid Prototype MVP4Quality assurance
Automated end-to-end integration tests, unit regression audits, security penetration testing, and load checks.
100% Automated Test Coverage5Maintenance
24/7 server log inspections, API latency audits, system upgrades, and model safety checkups.
99.99% Production Uptime6Design websites & portals
Crafting beautiful, responsive, and intuitive UX/UI designs designed to convert visitors.
Responsive Web/App Delivery7Business point of view
Measuring final platform execution outcomes against business ROI, efficiency targets, and budget caps.
Fixed-Price Value BundlesPricing Models
We price based on business value, technical complexity, and risk boundaries. We charge for diagnostic sprints and align project deliverables with clear payment milestones.
| Model | What it is | When we use it |
|---|---|---|
| Fixed-scope project | Defined deliverables, milestone payments (40% upfront / 40% mid-project / 20% launch) based on approved architectural specifications. | Well-scoped builds with clear technical requirements and defined feature boundaries. |
| Time & materials | Weekly or monthly billing with strict scope controls, regular velocity updates, and agile backlog prioritization. | Evolving products and continuous iteration where requirements adapt to live user feedback. |
| Outcome retainer | Monthly engineering pod fee with defined KPIs, dedicated developers, priority support SLAs, and continuous system monitoring. | Long-term engineering partnerships, agent fine-tuning, and cloud infrastructure operations. |
AI Adoption Strategy for Business
Click on any step of the wave to see detailed engineering outputs, deliverables, and timelines.
Understand the AI Potential
Discover how generative AI, machine learning, and agents can solve specific operational challenges inside your business.
Key Deliverables
- ✓Opportunity Map
- ✓Technology Feasibility Report
- ✓ROI Hypotheses Matrix
Ready to build?
Start with an AI Opportunity Audit to diagnose technical bottlenecks and outline a structured ROI plan.
Book an AI Strategy Call →