Software Engineering
System's core infrastructure, security frameworks, and application foundations.
All of Software Engineering →Software rooted in data, grown with AI.
We design, build, and maintain the secure systems, resilient data pipelines, and intelligent internal software that power smooth business operations.
Who we are
Data Fact Tree is a specialized engineering consultancy led by Nidhi Shah, an enterprise-proven software engineer and published systems researcher. We integrate directly into your engineering organization as a senior, standalone execution force. We exist to help companies rapidly transition complex technical designs into production-ready deployments without hiring a bloated team.
One system, three disciplines
Data Engineering
The high-volume processing pipelines and clean architectures that fuel your entire tech ecosystem.
All of Data Engineering →AI Engineering
The secure models and intelligent features layered on top to turn that operational data into automated value.
All of AI Engineering →How we build
- 01
Architecture audit
Analyze current data structures and technical debt.
- 02
System blueprint
Design the relational schemas, API paths, and tech stack.
- 03
Core development
Write clean, heavily tested code with defensive gates.
- 04
Telemetry layer
Integrate live metrics for active monitoring.
- 05
Isolated launch
Write runbooks, deploy the system inside stable, lightweight containers.
Why a small firm
We build enterprise-grade architectures without the corporate agency overhead. You invest directly in technical execution, completely bypassing administrative management layers.
- The engineer you meet takes the lead. No account managers between you and the code.
- Five written commitments. On what stays in your systems, what we never do with your data, and when we say no to AI. Read them.
- No surprises in the proposal. Fixed shapes for the work, no prices on the site.
Send us the problem in three sentences, or schedule a technical consultation.