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AHvos Partners With Trinsic Technologies To Launch Next-Gen Private AI Solutions


AHvos, a provider of enterprise-level AI services tailorable for SMBs, has announced the launch of its cutting-edge platform and three initial offerings. In a strategic partnership, Trinsic Technologies, an industry technology services and cloud hosting company, will provide exclusive cloud hosting for AHvos’ private AI engines, enabling businesses to affordably preside over their own dedicated AI engines powered by their own data.

AHvos’ proprietary Contextually Responsive Intelligence (CRI) technology does not use a large language model (LLM) or a heavy-laden neural network model. It can act upon data and produce results without storing data. AHvos matches, or in some cases, substantially outperforms, market-leading AIs that rely on LLMs.

Additionally, AHvos’ CRI uses a fraction of the data and resources typically associated with complex neural networks, such as supercomputers, large amounts of labeled training datasets and long training times. This powerful yet eco-friendly technology allows organizations to have their own, dedicated AI.

According to the company, CRI is not only a safer AI, but is also a more cost-effective AI. Businesses now have access to fast, near-real-time AI services that prioritize privacy and proprietary content.

The AHvos launch includes three initial solutions tailored to individual organizational needs:

  • Data Crucible: A solution for identifying and correcting inaccurate dataset labels, reducing model bias.
  • MIT: A suite of Message Impact Transformation (MIT) services that leverage AHvos’ CRI technology for unparalleled AI-driven data analysis.
  • Impact Insights: A suite of services that delve deep into unstructured content, surpassing the capabilities of traditional sentiment analysis tools.

With AHvos’ private AI engines, AHvos avoids built-in biases and potential copyright infringement issues found in AI models trained with open web content. AHvos’ technology replaces traditional point-in-time machine learning (ML) training with continual, near-real-time machine educating (ME). Furthermore, AHvos AI engines interact with the customer’s data without actually storing the data in memory, therefore avoiding data privacy and compliance issues.