Move beyond simple chatbots. We integrate custom Machine Learning models, LLM Retrieval-Augmented Generation (RAG), and automated document pipelines directly into your software stack.
Public AI tools give vague, unreliable answers because they lack context from your internal ERP, CRM, and company documentation.
Sending sensitive customer health, financial, or IP records to external public APIs poses major regulatory compliance threats.
Staff waste hundreds of hours manually reviewing paper invoices, medical charts, or legal contracts to extract data into databases.
Per-token cloud pricing escalates out of control as application user volume scales, eating into SaaS profit margins.
Context-aware RAG search connecting large language models to your PostgreSQL, Frappe, and PDF data stores.
Machine learning forecasting engines for demand planning, churn prevention, and automated financial intelligence.
Automated image analysis, defect detection, and document OCR pipelines integrated into ERPNext workflows.
Adapting open-weight models to your industry terminology, legal jargon, or technical operational taxonomies.
Multi-step autonomous agents that perform database queries, execute API webhooks, and trigger email alerts.
Continuous telemetry monitoring, hallucination filtering, model drift detection, and GPU cluster load balancing.
Wraxel deployed an automated Vision AI and document OCR engine for a lending enterprise, extracting tax forms, bank statements, and ID verification records directly into their underwriting system.
Integrated a private vector database and fine-tuned Llama 3 model into a customer support dashboard, handling 70% of routine inquiries automatically with zero human agent escalation.
Auditing your internal data stores and validating AI model accuracy on sample queries.
Building secure vector database indexes and embedding pipelines for real-time retrieval.
Connecting AI model endpoints directly into your existing web, mobile, or Frappe backend.
Setting up guardrails, response validation checks, and latency optimization rules.
Ongoing GPU infrastructure load balancing, model fine-tuning, and performance audits.
Schedule a technical strategy session with Wraxel's AI directors to evaluate model architectures, data privacy, and RAG pipelines.
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