Core Pillar 04

Autonomous AI Agents & Intelligence

We engineer goal-directed AI agents, multi-agent swarms, and enterprise-grade RAG systems. Powered by LangGraph, CrewAI, AutoGen, and private vector architectures to automate complex multi-step workflows, integrate with your APIs, and reason with verified precision.

Multi-Agent Orchestration

Stateful Agent Swarms & Reasoning Loops

Standard chat interfaces require humans to do the heavy lifting. Setinel Tech crafts autonomous multi-agent networks where specialized agents collaborate: researching, drafting, querying databases, executing API calls, verifying outputs, and self-correcting errors before taking final action.

Stateful LangGraph & AutoGen multi-agent graphs with conditional branching
Deterministic tool-calling for ERP, CRM (Salesforce/HubSpot), Slack & SQL databases
Self-correcting reflection loops with automated unit testing & human-in-the-loop checkpoints

// agent-execution-telemetry.json

"orchestrator_agent": "sentinel-enterprise-router",
"execution_mode": "autonomous_multiagent_swarm",
"active_subagents": [
  "doc_parser_agent": "Active (100% Ready)",
  "sql_analyst_agent": "Active (Postgres 16)",
  "qa_verification_agent": "Active (Strict Guardrails)"
],
"reasoning_framework": "ReAct + Stateful LangGraph Engine",
"tool_pipeline": ["parse_invoices_pdf", "execute_postgres_query", "notify_slack_channel"],
"metrics": {
  "confidence_score": "99.6% (Verified)",
  "execution_latency": "380ms",
  "guardrails": "zero_hallucination_enforced"
}

Enterprise RAG & Data Privacy

Private Knowledge Retrieval & Vector Databases

Connect your proprietary corporate knowledge bases, technical manuals, contracts, and internal databases to state-of-the-art language models with mathematically proven data isolation and zero third-party training retention.

Hybrid Dense + Sparse Vector Search (Qdrant, Pinecone & pgvector)
On-premise or sovereign cloud LLM deployment (Llama 3, Claude 3.5, GPT-4o)
Prompt injection firewalls, automated PII redaction & SOC2 / GDPR compliance

// vector-knowledge-benchmark.sh

[VECTOR_STORE] Target: Qdrant Cluster + pgvector (Hybrid RAG)
[RETRIEVAL] Semantic Top-K: 5 Contextually Re-ranked Chunks
[EMBEDDING] Model: text-embedding-3-large (3072 Dimensions)
[SECURITY] Gateway PII Filter: 100% Anonymized & Tokenized
[SEMANTIC_SCORE] Cosine Relevance: 0.984 Verified Match
[PRIVACY] Zero-Retention SLA: Enterprise Private Tenant Enforced

Workflow Automation

Autonomous Tool Calling & Enterprise API Integration

Transform static business software into proactive intelligence. Our custom agents connect directly to REST, GraphQL, and database interfaces, executing high-volume operational workflows such as automated lead triage, customer issue remediation, dynamic ERP updates, and real-time cloud observability.

Custom REST, GraphQL & gRPC API tool connectors with OpenAPI validation
Asynchronous distributed task queues with Celery, Redis & RabbitMQ
Auditable execution telemetry, replayable traces & deterministic fail-safes

// agentic-tool-pipeline.log

[STEP 01] Trigger: Incoming Webhook Event (order_id: #84920)
[STEP 02] Agent 'FraudDetector': Risk score evaluated (0.02 - Passed)
[STEP 03] ToolCall -> Stripe API: Capture charge $1,240.00 [200 OK]
[STEP 04] ToolCall -> ERP Connector: Inventory reserved in SAP [200 OK]
[STEP 05] Agent 'Notifier': Customer WhatsApp & Email dispatched
[RESULT] Workflow Status: Completed in 1.14s (Human overhead: 0s)

GET IN TOUCH