GPT-5.5 · Claude Opus 4.8 · Gemini 3.5 · MCP

AI Agents & AutomationIntelligent Systems That Think, Learn & Act

Deploy production-grade AI agents powered by GPT-5.5, Claude Opus 4.8, and Gemini 3.5 Flash. From MCP-connected tool use to multi-agent orchestration—transform your business with long-running autonomous intelligence across AWS Bedrock, Azure AI Foundry, and Google Vertex AI.

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MCP Tool Integration
Long-Running Agents
Eval-Driven Deployment
0+
AI Agents Deployed
0.9%
Uptime SLA
0%
Cost Reduction
0/7
Support

Enterprise AI Agent Platform

Production-ready AI agents built on cutting-edge frameworks, LLM providers, and observability platforms trusted by enterprise teams

Intelligent Automation

Deploy long-running autonomous agents that plan, execute, and recover across n8n AI workflows, Microsoft Copilot Studio, and Power Automate—with human-in-the-loop checkpoints for high-stakes decisions.

Long-Running Agent Loops
n8n AI Agent Nodes
Copilot Studio
Self-Healing Recovery

RAG Systems

Agentic RAG with GraphRAG, contextual retrieval, and hybrid search across Pinecone, Weaviate, Qdrant, and pgvector—grounding every response in verifiable enterprise knowledge.

GraphRAG & Hybrid Search
Contextual Retrieval
Re-ranking Pipelines
Source Attribution

Custom LLM Integration

GPT-5.5, Claude Opus 4.8, Gemini 3.5 Flash, Llama 4, and Qwen 3.7 with fine-tuning and private deployment on AWS Bedrock, Azure AI Foundry, and Google Vertex AI.

GPT-5.5 & Codex
Claude Opus 4.8
Gemini 3.5 Flash
MAI-Code-1-Flash

Multi-Agent Systems

Coordinated agent teams using LangGraph, CrewAI, Google ADK, and OpenAI Agents SDK—with sub-agent delegation, handoffs, and durable state for complex enterprise workflows.

LangGraph State Graphs
Agent Handoffs
Google ADK
Sub-Agent Delegation

Agent Frameworks

OpenAI Agents SDK, Claude Agent SDK, LangGraph, and Microsoft Agent Framework for production agent development with MCP tool connectivity, memory, and enterprise API integration.

OpenAI Agents SDK
Claude Agent SDK
MCP Integration
Microsoft Agent Framework

Prompt Engineering

DSPy program optimization, structured outputs, and eval-driven iteration with LangSmith tracing, Braintrust, and OpenAI guardrails for reliable production agent behaviour.

DSPy Optimization
Structured Outputs
LangSmith Tracing
Guardrails & Evals

Built on Leading AI Infrastructure

We integrate with the most advanced AI models, frameworks, and tools trusted by enterprise teams worldwide

LLM Platforms

GPT-5.5Claude Opus 4.8Gemini 3.5 FlashLlama 4Qwen 3.7 Max

Agent Frameworks

LangGraphOpenAI Agents SDKClaude Agent SDKGoogle ADKCrewAI

Vector Databases

PineconeWeaviateQdrantpgvectorTurbopuffer

MLOps & Monitoring

LangSmithBraintrustArize PhoenixDSPyOpenAI Evals

Cloud & Protocols

AWS BedrockAzure AI FoundryVertex AIMCPn8n AI

Transform Every Business Function

AI agents that deliver measurable ROI across operations, support, sales, and analytics

85% resolution rate

Intelligent Customer Support

24/7 agentic support with MCP-connected CRM tools, multi-turn memory, and seamless handoff to human agents—powered by Claude Sonnet 4.6 and GPT-5.5 for natural, accurate responses.

10x faster analysis

Research & Analysis

Deep-research agents that browse, synthesize, and cite sources across internal knowledge bases and the web—delivering board-ready reports in minutes instead of days.

70% cost reduction

Workflow Automation

End-to-end process agents that read documents, call APIs, update systems, and notify stakeholders—via n8n, Make, and Power Automate with built-in error recovery.

3x conversion boost

Sales & Marketing AI

Revenue agents for lead scoring, personalised outreach, and pipeline forecasting—integrated with Salesforce, HubSpot, and Microsoft Dynamics via MCP connectors.

Deployment Process

A streamlined 4-phase approach to deploying AI agents in your organization

01

Discovery & Assessment

Map agent opportunities, select frontier models (GPT-5.5, Claude Opus 4.8, Gemini 3.5), and define eval criteria with stakeholders.

02

Design & Development

Build agents with LangGraph or OpenAI Agents SDK, MCP tool connections, agentic RAG pipelines, and guardrail policies.

03

Testing & Optimization

Run eval suites in LangSmith and Braintrust, tune DSPy programs, and validate safety before production release.

04

Deploy & Monitor

Ship to AWS Bedrock, Azure AI Foundry, or Vertex AI with live tracing, cost monitoring, and continuous eval loops.

AI Agent Deployment
$deploy-agent --production
✓ Initializing LangGraph agent with MCP servers...
✓ Connecting to GPT-5.5 & Claude Opus 4.8 via Responses API...
✓ Provisioning agentic RAG (Pinecone + GraphRAG)...
✓ Running Braintrust eval suite — 47/47 passed
✓ Agent deployed to Azure AI Foundry in 9.8s
→ Agent ready at: agent.tyaus.com/api/v1

Why Choose Our AI Agents?

Production-ready features designed for enterprise-scale AI automation and governance

Enterprise Security

SOC 2, GDPR compliant with guardrails, sandbox isolation, and private VPC deployment

Lightning Fast

Gemini 3.5 Flash and GPT-5.5 Mini for sub-second inference with intelligent model routing

24/7 Operation

Long-running cloud agents with 99.9% uptime SLA, durable state, and automated failover

Continuous Learning

Eval-driven improvement with human-in-the-loop feedback and automated regression testing

Ready to Deploy AI Agents?

Partner with our AI architects to design and deploy enterprise-grade agent systems tailored to your workflows. Achieve 85% automation rates and 10x faster analysis with proven agentic frameworks.

Request Technical Whitepaper