Deep dives into workspace AI, secure knowledge management, and building tools that actually understand your organisation.
Most AI systems hallucinate because they are trained to sound confident regardless of whether they have evidence. Contextual grounding flips this — every claim must trace back to a real source, or the system says nothing.
Read articleHow isolation-first design changes the way AI infrastructure is built for organisations that cannot afford data leakage.
Read article →Lessons on building horizontally scalable search systems that maintain strict workspace boundaries under load.
Read article →How teams are moving beyond reactive Q&A toward AI that understands the full context of how their organisation works.
Read article →A practical guide to ingesting documents, querying your private knowledge base, and handling citations via the Fragmity API.
Read docs →Why every request must re-validate workspace membership — and how session caching creates exploitable gaps in multi-tenant systems.
Read article →Pure vector search misses exact matches. Pure keyword search misses meaning. How combining both outperforms either approach alone.
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