# Visear.ai

> Agentic Systems, AI Red Teaming, Data Engineering

- Canonical listing: https://agencysource.com/agencies/visearai
- Location: Brooklyn, NY
- Categories: [AI & LLM Development](https://agencysource.com/categories/ai-development), [Data & Analytics](https://agencysource.com/categories/data-analytics), [AI Consulting & Strategy](https://agencysource.com/categories/ai-consulting), [Cybersecurity](https://agencysource.com/categories/cybersecurity), [IT Consulting & Managed IT](https://agencysource.com/categories/it-services), [AI Agents & Automation](https://agencysource.com/categories/ai-agents-automation)
- Services: AI Consulting, AI Development, BI & Big Data Consulting & SI, Cybersecurity, IT Strategy Consulting
- Industries: Information technology, Manufacturing, GPS, Navigation & GIS, eCommerce, Education, Energy & natural resources, Financial services, Government, Non-profit, Utilities
- Team size: 2 - 9
- Hourly rate: $200 - $300 / hr
- Minimum project: $50,000+
- Founded: 2023
- Website: https://visear.ai
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

Artificial Intelligence. Real Signal. Engineering multi-agent AI systems that distill complexity into actionable intelligence.

Data Engineering: We build scalable, governed data pipelines paired with MCP servers, and can help define, and engineer AI‑ready assets for seamless agent integration.

Model Development: We architect, train and fine tune both LLM and Multimodal models, with rigorous observability and evaluation at every stage. We also deploy custom models across Ray clusters and Spark fabrics, tuned for performance at scale.

Agentic Systems: We build advanced multi-agent systems capable of complex interaction and reasoning. Built using the leading frameworks and incorporating the latest research in multi-agent systems they can be enhanced with your proprietary enterprise data in an agentic RAG setup, or with custom MCP wrappers for your proprietary tools.

Adversarial Machine Learning: Certified adversarial ML practice applying OWASP LLM Top 10, MITRE ATLAS/ATT&CK, and NIST AI Risk frameworks to deliver interpretability, vulnerability, and threat landscape analysis.

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