What enterprises AI are stuck with is not models, but data that no one trusts. AidenAI Data Services is aimed at solving this problem.
AidenAI expands upon its Data Services, helping enterprises move from fragmented data to answers that can guide both business and AI actions.
Princeton, New Jersey, USA, October 13th / PRNewswire / -- If a AI agent is tasked with determining which products are experiencing declining profit margins, it would immediately provide an answer. However, whether this answer is credible depends on which data sources are authoritative, which indicators have been approved for use, and whether the relevant figures are up-to-date.
AidenAI is a AI construction company that today announced the expansion of AidenAI Data Services to address this issue. This service is aimed at helping enterprises move from fragmented data assets to governed solutions that can be directly used by business teams and AI agents.
Gartner It is expected that by 2026, organizations will abandon 60% of AI projects that lack AI ready data support. For most enterprises, the barrier to AI value is no longer the model itself, but rather the underlying data.
AidenAI Data Services starts with business problems that require credible answers, and then handles all the links between that problem and the source system:
- BasicSelect the appropriate platform for each type of workload, and build data products around quality, lineage, and ownership.
- Mandatory requirement:A set of approved indicators, entities, and business rules for consistent use by personnel and AI.
- AnswerGoverned analysis, search, and conversational access, where each answer can be traced back to its source and definition.
- Maintain credibility.Continuous operation covering quality, timeliness, cost, and usage.
The AI accelerator, which is part of AidenAI, is responsible for handling a large amount of repetitive tasks: analyzing sources, drafting definitions for approval by business leaders, and generating quality rules and tests for each data product. The data experts from AidenAI guide the entire process and make all key decisions.
Cooperative projects start with verified models. Customer data is always under the control of the customer, and each model, contract, and rule generated belongs to the customer.
“AI has turned a long-standing issue into one that cannot be ignored. Companies invest heavily in data platforms, yet teams are still debating which figures are correct. Now, their AI has amplified this chaos to a scaled-up level. We don’t start with technology; we start with the answers that the business needs and ensure they are credible. This is how we transform AI from a pilot project into a foundation for the actual operation of the enterprise,” said the CEO of AidenAI, Srini Kamadi.
Enterprises can first conduct a AI data readiness check: This is a fixed-range assessment that focuses on a business domain, providing a view of delivery readiness, approved definitions, and a plan to move towards the first credible answer.
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