A bespoke AI-powered SaaS for managing field resources on construction sites, shipped from concept to production.
- Delivery posture
- Exceeded expectations
- Responsiveness
- Near-immediate
- Strategic input
- Beyond scope
“Working with Luka and the entire Datablooz team has been an outstanding experience. We hired them to develop a complex AI-powered SaaS product for 33 Elevated, with a focus on the construction industry, and their performance exceeded our expectations at every turn. From the initial concept to the final launch, their guidance was invaluable. They did not just build what we asked for; they provided strategic insight that made the final product better. What truly sets them apart, however, is their responsiveness. Questions were answered almost immediately, and the team was always accessible, making the entire development process smooth and collaborative. Their dedication and clear communication are second to none. We could not be happier with the result and wholeheartedly recommend Luka and Datablooz to any company looking for a top-tier development partner.”
What we shipped
FieldCommsPro needed a delivery partner who could take a complex AI-powered SaaS product from initial concept to production launch, inside the operational reality of the construction industry. The engagement covered strategy, engineering, and the communication discipline that keeps a program on track.
Construction is an operations business with high coordination cost and unforgiving field conditions. FieldCommsPro needed AI that would work in that environment, not in a demo room, and a partner that could deliver both the product and the strategic thinking behind it.
Blueprint → AI Pilot → Production launch → Scale and operate.
We followed the Datablooz Delivery Model. See our process.
- Blueprint
Framed the product opportunity end to end. Prioritized the AI use cases that would matter most for field teams and the operational workflows they run every day.
- AI Pilot
Validated the core AI components on real data and in conditions that reflect how the product would actually be used, not in an idealized environment.
- Production launch
Shipped the full product into production. Built, tested, and released the SaaS with the strategic input and communication discipline the customer highlighted in their reference.
- Scale and operate
Continued collaboration post-launch with clear communication, fast responsiveness, and governance over every AI-driven feature.
Business, technical, and governance outcomes.
- Complex AI-powered SaaS delivered from concept to launch.
- Strategic guidance that improved the final product beyond the original brief.
- Development process described by the client as smooth and collaborative.
- Basis for an open, ongoing customer recommendation.
- Python
- TypeScript
- GenAI
- Cloud deployment
- Full-stack SaaS
Customer-owned code and models. Communication rhythm that kept the client informed throughout delivery. Post-launch support continued with the same team.
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Reference calls available under NDA after the second working session.