Dedoctive grounds outputs in trusted evidence, provides full source-level provenance, and governs workflows with human-in-the-loop guardrails.
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Category: Dedoctive
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We need the trades back, front and foremost in our national consciousness, and with a fresh new look. AI can’t fix your roof yet, and it may never make sense to ask it to. But AI can make sure that someone is available to go up on a roof, they bring the right tools and materials, they…
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Dedoctive’s feature “Analyse Argument” is the next step in our mission to democratize information. By making even the largest and most complex documents understandable to ordinary mortals, we are enabling public participation in decision-making that is informed and thus effective. The new level of scrutiny enabled by Dedoctive will lead to better decisions – not…
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We’ve all been there—drowning in our own data, unsure how to even begin asking the right question. Until now, doing anything meaningful with that data usually meant brushing up on query languages, search syntax, or relying on dashboards someone else built. But it doesn’t have to be that way.
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Anyone involved in UK planning must navigate an intricate web of local planning codes—keeping up with ever-evolving regulations that require deep, specialized knowledge. That’s challenging enough, but for developers looking to build the same project—like a new type of eco-house—across different regions, the process becomes even more unpredictable. No two planning approvals are ever the…
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Dedoctive has two origin stories. One is my co-founder Peter Lawrence’s lifelong interest in unstructured vs structured data, and how to release the potential of the former by leveraging techniques for the latter. To learn how Peter’s voyage of technical discovery is culminating in Dedoctive, visit his blog about Knowledge Model-Driven Q&A. The other origin…