Author
Anton Shemerey
Field CTO
Focused on building business solutions with the best tech on the market, Anton leads a team of more than 100 developers, business analysts, designers, and QA. A language-agnostic software developer, he combines wide experience across stacks with a deep grasp of software architecture.
6 posts by this author
Persistent AI Memory for Enterprise: Why Your AI Needs to Remember
Consumer AI answers a prompt. Enterprise AI has to remember — the company's documents, decisions, customers, processes, and history, across users, sessions, and time. Persistent memory is the layer that closes the gap between an interesting demo and a system the business can actually run on.
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Agentic RAG: When Standard Retrieval Isn't Enough
Agentic RAG adds planning, tool use, and multi-hop retrieval to the retrieve-then-generate loop — at real cost in latency, money, and governance. Here's what makes it genuinely different from standard RAG, when the premium is justified, and how to deploy it safely inside a governed enterprise perimeter.
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Domain Intelligence Engine: The Next Evolution Beyond Knowledge Management
Retrieval alone is not enough in domains where the right answer depends on jurisdiction, precedent, or expert judgment. A Domain Intelligence Engine answers not just what documents say, but what the right action is given the domain context — the architecture Sphere reaches for when accuracy, traceability, and domain reasoning are the operating constraints.
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OpenClaw Alternatives: The Enterprise Evaluation Guide (2026)
Thirteen alternatives, compared the way a CISO would compare them — by blast radius, credential handling, and operational burden. Not by feature count.
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Tacit Knowledge Management: The AI Approach to Capturing What Can't Be Written Down
AI cannot capture tacit knowledge directly. It can retrieve the artifacts in which expert judgment has already been encoded. Why documentation brain dumps fail at scale, and how three companies used SphereIQ KnowledgeAI™ to make institutional knowledge retrievable before it walked out the door.
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Enterprise RAG Architecture: The 6-Layer Framework That Actually Scales
Six architectural layers that enterprise RAG production systems actually need — plus the orchestration, memory, and governance concerns that turn a demo into something you can put in front of regulated users.
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