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AI & Automation

AI Automation & Autonomous Agents

State-of-the-Art LLM Integrations, Proprietary RAG Architectures, and Autonomous Self-Healing Workflow Automation

Overview

Opticlon converges cutting-edge, state-of-the-art AI models with elite business operations. We architect proprietary retrieval-augmented generation (RAG) engines, hyper-specialized fine-tuned LLM agents, natural language interfaces, and advanced computer vision pipelines that radically optimize customer service, precision document parsing, and highly complex operational workflows.

Technical Capabilities

Custom RAG Engine & Vector Search

Combine OpenAI, Claude, or Llama models with Pinecone/pgvector for context-aware responses.

Autonomous Agent Tool Calling

AI agents capable of querying SQL databases, making API calls, and generating reports.

Document & PDF Parsing Pipelines

Automated extraction of tables, receipts, invoices, and contracts into structured JSON.

Semantic Prompt Caching

Reduce LLM API costs by up to 70% with intelligent similarity-based prompt caching.

Fine-Tuned Specialized Models

Domain-adapted models trained on your private dataset for niche industrial accuracy.

Human-in-the-Loop Moderation

Safety guardrails and manual review triggers for mission-critical automation tasks.

Problems We Solve

Generic LLM Hallucinations

Engineered vector retrieval (RAG) with strict semantic grounding in internal company knowledgebases.

High Token Costs & Slow Latency

Implemented semantic prompt caching, model router cascades, and local open-source LLM fallbacks.

Unstructured Document Extraction Errors

Built multi-modal OCR pipelines parsing complex PDFs, invoices, and tables with High Precision accuracy.

Manual Multi-Step Repetitive Tasks

Deployed autonomous agent pipelines capable of tool execution, API calls, and self-verification.

Our Process

01

AI Opportunity Audit

Identifying high-ROI workflows suitable for LLM automation and vector search.

02

Knowledge Embedding & Pipeline Setup

Parsing company data, generating vector embeddings, and populating vector databases.

03

Agent & Prompt Engineering

Designing system prompts, tool schemas, safety guardrails, and evaluation benchmarks.

04

Integration & Testing

Connecting AI agents into existing Slack, web portals, or internal ERP software.

05

Deployment & Latency Tuning

Deploying model streaming endpoints with continuous accuracy telemetry.

Pricing

RAG / Chatbot Integration
$5,500

Custom RAG knowledge chatbot trained on internal documentation.

  • Vector Database Setup
  • Custom UI Chat Widget
  • Knowledge Embedding Pipeline
  • Token Optimization
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Autonomous Workflow Agent
$12,500

Multi-tool AI agent capable of automating multi-step business tasks.

  • Tool-Calling API Capabilities
  • ERP/CRM System Integration
  • Human-in-the-Loop Safeguards
  • Custom Prompt Evaluation
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Custom Fine-Tuned Model Pipeline
$24,000+

End-to-end proprietary LLM fine-tuning, RAG infrastructure, and enterprise SLA.

  • Proprietary Data Fine-Tuning
  • On-Prem / Private Cloud Host
  • 24/7 Model Monitoring
  • Dedicated AI Engineer
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Frequently Asked Questions

Is our proprietary data kept secure and private?

Absolutely. We utilize enterprise API agreements and private vector databases ensuring your data is never used to train public models.

What models do you support?

We work with OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini, and open-source models like Llama 3 and Mistral.

How do you prevent AI hallucinations?

We enforce strict RAG context windows, semantic verification checks, and fallback mechanisms when confidence scores are low.

Related Services

Technology Stack

  • OpenAI API
  • Anthropic Claude API
  • LangChain
  • LlamaIndex
  • Pinecone
  • pgvector
  • Python
  • FastAPI
  • Next.js

Ready to get started?

Book a free technical scoping session with our senior engineering team.

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