We engineer customized LLM agents, automated document scrapers, business logic processors, and pipeline automations to reduce operational latency.
Custom intelligence agents designed to connect and automate business flows.
Deploy custom LLM instances (GPT-4o, Claude 3.5, or Gemini Pro) connected to secure data structures using Retrieval-Augmented Generation (RAG). Solves client service requests, processes data lookups, and files records autonomously.
Build API pipelines and background scripts using FastAPI and Celery. Instantly map web triggers to automate document ingestion, sorting, and database sync structures.
Deploy optical character engines (OCR) to read PDFs, invoices, and legal contracts. Extract data structures automatically and map them directly into relational database tables.
Set up parallel browser cluster structures (Playwright or Puppeteer) operating on rotating proxies. Scrapes structural market data, prices, and catalogs automatically and validates details.
Connect business workflows directly to ERP structures (SAP, Salesforce, or Odoo) to process real-time financial tracking, inventory levels, and client records automatically.
Deploy custom static code analyzers and security linting nodes directly inside code review steps to check safety parameters and test formatting models.
We combine state-of-the-art AI frameworks to compile smart platforms.
Real-world systems engineered to drive efficiency and optimize data pipelines.
X3von engineered a multi-threaded processing engine utilizing OCR pipelines and custom RAG parsing clusters to audit commercial freight bills. The system handles 100,000+ monthly documents, checking billing line-items against contract databases to identify deviations automatically.
Verification accuracy maintained across complex custom shipping tariffs and border declaration formats.
Transitioning from isolated LLM chat interfaces to production-grade enterprise agent pipelines requires deterministic execution, secure context boundaries, and robust auditability. X3von implements multi-agent orchestrations using LangGraph and AutoGen paired with vector database indexes (Pinecone/Weaviate) for Retrieval-Augmented Generation (RAG).
Strict PII masking, token-level access controls, and private VPC deployment models to prevent data leakage.
Configurable confidence score thresholds that route edge cases to human operators for verification before state commitment.
Strict JSON Schema function parameters mapping directly to REST/gRPC endpoints inside existing ERP/CRM stacks.
B2B payment collections often suffer from email latency and manual ledger reconciliation. Our proprietary solution, BizSync, leverages automated Meta WhatsApp Business API bots to trigger instant PDF invoice dispatches, interactive payment links (Stripe/Razorpay), and real-time ledger updates upon payment completion.
A systematic engineering workflow designed to accelerate deployment timelines.
Select the appropriate model and define context schemas and custom system prompt rules.
Configure RAG vector databases and connect AI agents to system execution tools.
Test prompt execution performance, expose secure API gateways, and launch agents.
We design automation systems that turn repetitive execution into reliable digital workflows. From AI copilots to backend triggers, our solutions are built to save time, reduce error, and improve team focus.
We map the bottlenecks, define the workflows, and deliver automation that creates measurable impact from day one.
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