Built by people who have done this before.
Verita is a data analytics & AI consulting firm working from Tel Aviv since 2013, across AWS, Google Cloud, and the full data lifecycle.
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We founded Verita in 2013 to help organizations get true insight from their data. That meant data analytics in the full sense: collecting data from the systems a business runs on, modeling it so the numbers agree across teams, and turning it into reports and analysis that people use to make decisions.
The foundation has stayed the same, but the work has grown. The trusted data that once fed only reports and dashboards now also feeds AI. Alongside analytics, we focus on AI enablement: agentic data engineering, lakehouse architectures, and governed semantic layers that give AI agents and applications the same definitions people rely on. Our five services cover that full lifecycle, from Data Engineering & AI Enablement to BI, Semantic & Serving Layers and AI Products.
Founder
Verita is led by Gil Blum, who has spent two decades in data architecture, working across AWS and Google Cloud environments for both enterprise and public-sector organizations. That range, large commercial platforms and the compliance and governance demands of public-sector work, shapes how Verita approaches every engagement: build for the constraints that are actually there, not the easiest version of the problem.
How we work
We partner with organizations across the full data lifecycle: architecture, pipeline development, storage, modeling, and visualization, and increasingly the specific groundwork that Gen AI adoption requires. The constant across all of it is the same standard: data that's trustworthy enough for people to make decisions on, and structured well enough for AI systems to use directly.