AIvista Technologies conducts research and development of advanced AI agents, engineering agentic solutions and enhancing LLM performance through the design of contextual Knowledge Graphs.
We focus on the intersection of Large Language Models, Multi-Agent systems, and Knowledge Graph representation to build context-aware, production-grade AI systems.
Looking for a custom architecture? We design specialized agent workflows and K-Graphs to fit your exact data topology.
Discuss your architecture →By combining multi-step agentic planning with contextual Knowledge Graphs, we enhance LLM reasoning, resolve hallucinations, and deliver reliable decision-making.
Multi-step agents that plan, reason, call external tools, and self-correct to execute complex workflows.
Fine-tuning, context window management, and structured output generation for predictable performance.
Designing semantic knowledge networks that map custom enterprise relations to ground model outputs.
Contextual data retrieval using linked entities, enabling multi-hop reasoning over connected datasets.
Managing agent state, memory, loopbacks, and execution logic using advanced graph frameworks.
Continuous testing, tracing, and automated validation checkpoints to guarantee agent accuracy.
From designing semantic networks to deploying autonomous agent groups, we build AI architectures that think, retrieve, and execute reliably.
Supercharging base models with domain-specific fine-tuning, vocabulary adaptation, and custom tokenizers.
Designing self-governing workflows that automate document reviews, code generation, and complex investigations.
Structuring corporate wikis, databases, and logs into a clean, queryable knowledge network for AI search.
Deploying safe agentic systems with built-in guardrails, security sandboxes, and human-in-the-loop controls.
Unstructured documents, databases, and APIs contain hidden connections. Our contextual Knowledge Graphs structure these relationships to ground your LLMs in absolute truth.
We design agents that plan, reason, use external tools, and verify their outputs against established parameters before taking any actions.
We embed our R&D specialists directly into your product teams or deliver complete agentic systems ready to integrate.
Full-system design: end-to-end design of LLM, Agentic, and Knowledge Graph architectures.
Co-R&D partnership: our researchers and engineers join your team to solve cutting-edge AI problems.
Graph & Agent Integration: transforming your existing databases into Knowledge Graphs with an agentic layer.
We hire for curiosity as much as experience. If you want to solve complex problems in knowledge representation, agent routing, and LLM reasoning, we want to talk to you.
We welcome internship applications year-round for graduates passionate about Agentic AI and Knowledge Graphs.
Apply for an internshipDiscuss your R&D requirements, agentic use cases, or Knowledge Graph goals with our AI engineering team.