AidenAI expands its Data Services to take enterprises from fragmented data to answers their business and AI can act on
PRINCETON, N.J., Oct. 13, 2026 /PRNewswire/ — Ask an AI agent which products are losing margin, and it will answer instantly. Whether that answer can be trusted depends on which data is authoritative, which metric definition is approved, and whether figures are current.
AidenAI, an AI builder company, today announced an expansion of AidenAI Data Services to address this problem. The services take enterprises from fragmented data estates to governed answers that business teams and AI agents can act on.
Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data. For most enterprises, the barrier to AI value is no longer the model. It is the data underneath it.
AidenAI Data Services starts with the business question that needs a trusted answer, then addresses everything between that question and source systems:
- The foundation: The right platform for each workload, with data products built around quality, lineage and ownership.
- The meaning: One approved set of metrics, entities and business rules that people and AI use consistently.
- The answer: Governed analytics, search and conversational access, with every answer traceable to its source and definition.
- Keeping it trusted: Ongoing operations covering quality, freshness, cost and usage.
AidenAI’s AI accelerators handle volume work: profiling sources, drafting definitions for business owners to approve, and generating quality rules and tests for each data product. AidenAI’s data experts direct the work and make every decision that matters.
Engagements start from proven patterns. Client data stays under client controls, and every model, contract and rule produced belongs to the client.
“AI has made an old problem impossible to ignore. Enterprises have invested heavily in data platforms, yet teams still debate which number is right, and now their AI repeats that confusion at scale. We don’t start with technology; we start with the answer the business needs and make sure it can be trusted. That’s what turns AI from a pilot into something a business runs on,” said Srini Kamadi, CEO, AidenAI.
Enterprises can begin with an AI data readiness check: a fixed-scope assessment of one business domain, delivering a view of readiness, approved definitions, and a plan to a first trusted answer.
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SOURCE AidenAI
