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AI and Intelligent Automation

Autonomous AI agents, multi agent architectures, and Oracle AI Database 26ai built directly into the data layer where your business lives.

Oracle ACE Directors VMware vExperts Quest SharePlex Certified GoldenGate Certified Microsoft Strategic Partner

Overview

Artificial intelligence is no longer a science project, it is the operating layer of the next decade of enterprise software. Viscosity Technology helps organizations move beyond prototypes and into production with autonomous AI agents, multi agent architectures, and Oracle AI Database 26ai capabilities that turn your existing data into the most valuable asset in the business. We engineer intelligence directly into the data layer because that is where context lives, where governance belongs, and where enterprise AI has the best chance of actually working.

Our approach combines deep Oracle expertise with modern agentic patterns. We build agents that plan, reason, and act across your workflows. We implement retrieval augmented generation pipelines that ground every response in your data. We deploy vector search, semantic search, and Select AI capabilities so your teams can interact with enterprise information through natural language. The outcome is AI that your executives can defend in a boardroom because it produces answers backed by governed, auditable data.

Agentic AI That Ships to Production

Most AI agent demos look impressive until you try to put them in front of real customers or real business processes. Hallucinations, silent failures, and unpredictable behavior are the reason so many AI pilots never make it past the proof of concept stage. Viscosity builds agents the same way we build any other mission critical system. We add validation gates, multi layered critique chains where secondary agents audit the reasoning of primary agents, and hallucination filters that catch suspect outputs before they reach the user. We instrument every agent with the observability and error handling your operations team needs to support it in production the way they support your databases today.

Our agentic work covers single agents focused on a specific task, multi agent architectures where specialized agents collaborate to solve complex problems, and Agent to Agent workflows that connect your AI directly to enterprise systems. We also build Oracle Fusion compatible agents so organizations investing in Oracle’s native AI Agent Studio can extend them with custom capabilities tuned to their business.

Oracle AI Database 26ai

Oracle AI Database 26ai changes what a database can do. Viscosity brings deep production experience with the full 26ai feature set, including AI Vector Search for similarity queries, Select AI for natural language interaction with relational data, JSON Relational Duality for applications that want both document and relational models from the same storage, and in database ONNX for running machine learning models next to the data rather than shipping the data out to a separate platform. When customers ask whether 26ai is ready for serious production workloads, we answer with the engineering experience to prove it is.

We design 26ai deployments that take advantage of everything the platform offers. That means pairing vector search with traditional SQL so your queries can combine semantic similarity with the structured filters your business logic depends on. It means using Select AI to give business users a natural language interface to databases they could never query before. It means embedding model inference directly in the database so response times stay low and data never leaves your governance perimeter. And it means running the whole thing on the Oracle infrastructure you already trust.

Retrieval Augmented Generation

RAG is the most common entry point to enterprise AI because it lets organizations answer questions over their own documents without training a new model. Viscosity designs and implements RAG pipelines that go far beyond the basic tutorials. We tune chunking strategies to the actual content types in your environment, whether that is contracts, technical documentation, support tickets, or regulatory filings. We evaluate embedding models across cost, latency, and accuracy tradeoffs. We build hybrid retrieval strategies that combine vector similarity with keyword search and metadata filters so users get the right answer even when their question does not match the source text exactly.

We also build the pieces most teams forget. Evaluation harnesses that measure accuracy against a golden dataset. Incremental indexing strategies that keep embeddings fresh as source documents change. Access control enforcement at retrieval time so sensitive information does not leak into answers. Audit logging that shows exactly which documents informed each response. The result is RAG that holds up to the scrutiny of a compliance review, not just a product demo.

Intelligent Automation

Not every AI initiative is about generative models. Viscosity also helps customers apply machine learning, anomaly detection, and classical automation to the operational problems that keep their teams busy. We automate routine database operations with intelligent tuning and capacity prediction. We apply anomaly detection across logs and metrics to catch issues before they become incidents. We build automation workflows that trigger the right response based on the right signal, replacing manual runbooks with adaptive processes. The outcome is operations that run with less noise, fewer surprises, and more time for your engineers to focus on the work that matters.

How We Engage

Every Viscosity engagement begins with the question your business is actually trying to answer. We do not sell AI for its own sake. We help you identify the use cases where AI will move the needle, design the architecture that makes them work, and deliver the implementation alongside your team so the knowledge stays with you after we leave. Engagements can start as short pilots to validate a specific use case, grow into production implementations once the business case is clear, and continue as managed services for customers who want ongoing support of their AI platform. Throughout, our senior consultants work side by side with your engineers, your data team, and your security organization to make sure the final solution is one your business can actually run in production.

Why Viscosity Technology

You can find consultants who understand LLMs and you can find consultants who understand Oracle. You cannot find many who understand both deeply enough to build AI systems that actually work on top of your existing data estate. Viscosity sits at that intersection. Our senior team includes Oracle ACE Directors, database performance experts, and modern AI engineers who have delivered agentic systems in production for real customers. We bring that combined experience to every engagement, and we bring the engineering discipline that separates an AI project you can brag about from one that quietly gets shelved six months after the pilot.

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