Data is the foundation of what modern innovation stands on.
Novina Data Innovations helps organizations harness data, artificial intelligence, and emerging technical solutions to solve complex business challenges and create measurable value; spanning strategy, architecture, engineering, analytics, fintech and AI implementation.
Most data initiatives stall before they scale.
Pilots work. Dashboards demo well. Then the pipeline breaks under real load, the model drifts, or the architecture can't survive the next system it has to talk to and worse nobody notices until leadership asks why the numbers don't match.
Four disciplines. One accountable partner.
We don't hand off strategy decks and disappear. Novina designs, builds, and operates the data and AI systems architecture your business runs on.
Systems designed to scale with the business, not against it.
We design end-to-end data architecture; API contracts, integration patterns, and real-time data flow, so enterprise systems stay reliable as they grow.
Models that hold up in production, not just in the notebook.
We build predictive models — XGBoost, CNNs, LSTMs — trained on real operational data, including LiDAR-based recognition systems that auto-identify degraded industrial instruments and eliminate costly re-scans. The result: fewer manual hours, faster decisions, measurable OPEX reduction.
Applied AI is not buzzword to us.
We've led generative AI initiatives in partnership with Microsoft, including an NLP-based assistant trained on structured and unstructured financial and project data; cutting retrieval time and giving teams direct answers instead of buried documents.
Dashboards your leadership actually opens.
We build automated reporting pipelines and robust Power BI data models (DAX, One Lake, SQL) that turn scattered operational data into forecasting dashboards leadership trusts, driving double-digit OPEX reduction across multi-million-dollar programs.
A method built for accountability, not billable ambiguity.
Every engagement runs through the same four stages — the same discipline we use to design a data pipeline, applied to the relationship itself.
Data assessment
We audit your current data estate, systems, and stakeholder KPIs to identify where architecture is costing you time, accuracy, or money.
Solution design
We define system architecture, API contracts, and data flow end-to-end, aligned to the outcomes that matter to your business.
Implementation
We build the pipelines, models, and dashboards — hands-on, not just diagrams — and validate them against production conditions.
Operate & scale
We hand over systems your team can run, monitor, and extend, with the documentation and training to make that real.
Short-form content, produced with the same rigor as our data work.
Our content studio creates authentic, brand-ready UGC across AI, Home, and Health & Wellness — briefs to delivery, hook-tested like everything else we build.
Explore the UGC studioIndustry context isn't a nice-to-have. It's the job.
Generic dashboards don't move billion-dollar organizations. We've worked inside the operational reality of these sectors — the instruments, the constraints, the KPIs that actually get reported upward.
Mining & Resources
LiDAR-based image recognition to auto-identify degraded industrial instruments, and ML-enabled pipelines forecasting equipment performance — eliminating costly re-scans and saving millions.
Infrastructure & Engineering
Solution architecture for geospatial data platforms — API contracts, data flow, and integration patterns supporting real-time risk monitoring across enterprise systems.
Transportation & Rail
Data-driven solutions for railway and transport operators, translating complex technical systems into operational efficiency and cost reduction.
Financial Services
DCF and factor-based financial models, macroeconomic and sentiment-driven (FinBERT) forecasting, and hedge-fund-style reporting pipelines.
Technology & SaaS
Generative AI initiatives built in partnership with Microsoft, plus scalable feature development and database optimization for enterprise software.
Consultancy & Advisory
Direct engagement with 11+ enterprise and billion-dollar organizations, running data assessments and proposing architecture aligned to real KPIs.
Built by a practitioner, not a partner track.
Makan Sabeti
Novina Data Innovations was founded on a simple premise: that most organizations aren't short on data — they're short on architecture, discipline, and someone who will stay accountable through implementation.
As a Solution Architect at Hatch, I've designed geospatial data platforms for real-time risk monitoring, led a generative AI initiative in partnership with Microsoft, and built predictive models achieving 99% accuracy for industrial clients — work that eliminated thousands of labor hours and drove double-digit reductions in operating expense.
That same approach — deep technical execution paired with direct client accountability — carries into every Novina engagement. Before Hatch, that meant leading data engineering programs for 15-person cross-functional teams, engaging 11 enterprise clients across mining, technology, rail, and transport, and building ML systems from evolutionary optimization to LSTM-based forecasting.
Novina exists for organizations that want that same level of hands-on rigor, without the overhead of a big-four engagement model.
Start the conversation.
Book a 30-minute consultation, or send a note with a bit of context. We reply personally — no intake team in between.