Replace brittle scripts and manual copy-pasting with deterministic, context-aware AI pipelines. We engineer enterprise RAG systems, sub-second document OCR extraction, and autonomous agent loops that interface directly with your core production databases.
Turn unstructured PDFs, incoming support volume, and multi-app data synchronization into deterministic background services.
Trained strictly on your organization's internal documentation, API schemas, and manuals. Features contextual vector search (Pinecone/Milvus), dynamic tool execution, and role-based access filtering.
Automatic document parsing that ingests unstandardized PDFs, scans, freight manifests, and contracts. Layout-aware transformer models extract structured JSON fields and pipe them straight into your core ERP or database.
Connect your ERP, CRM, Slack, and email systems with AI logic gates that make rule-based routing decisions, trigger cross-app calls, and self-heal failed steps.
Classifies incoming customer issues, analyzes sentiment, executes account lookups, and auto-resolves up to 75% of routine support inquiries.
Automate employee onboarding checklists, compliance reporting, supplier invoice verification, and weekly metrics rollups with autonomous background routines.
Unlike consumer chatbots that hallucinate or risk data leakage, XPELAB enterprise agents operate inside isolated execution sandboxes with strict database constraints and deterministic guards.
Your corporate data is never mixed into public training sets or shared outside your private cloud boundary.
Outputs are strictly validated against Pydantic and JSON schemas before invoking write actions on your database.
High-consequence actions (fund transfers, invoice approvals) require cryptographic human approval.
Outline your current manual bottleneck. Our AI engineers will evaluate feasibility, calculate ROI, and deploy a proof-of-concept pipeline.