Service Capability
Custom autonomous AI agents, LLM pipelines, and cognitive process automation built for enterprise operations.
NANO4C's AI and Automation division builds secure, scalable agents that interface with your APIs, databases, and legacy workflows. We help organizations in Pakistan, UAE, and KSA eliminate manual overhead, extract value from structured and unstructured data, and deliver immediate cognitive automation.
Departments lose thousands of hours annually in manual data entry, formatting, and spreadsheet reconciliation.
Over 80% of enterprise knowledge sits unused in PDFs, emails, scan logs, and contract files.
Support teams struggle with backlogs, leading to poor resolution times and client churn.
Autonomous agents built on LangChain/LlamaIndex that execute tasks directly across internal and external APIs.
Secure Retrieval-Augmented Generation networks that turn internal files into an interactive search repository.
Upgrading traditional robotic workflows with LLMs to interpret context, classify inquiries, and make rule-based decisions.
Slash routine cycle times from hours to seconds while maintaining exact rule compliance.
Private VPC hosting ensures your proprietary data is never exposed to public LLM training systems.
Deploy an audited, high-value AI agent POC within 4 to 6 weeks.
We host all AI models and database vectors inside your local VPC (Azure/AWS) or private data center, strictly applying IAM rules.
Yes, we construct custom API handlers and bridge workflows using modern integration microservices.
We support OpenAI Azure APIs, Anthropic Claude, and open-source models like Llama-3 and Mistral deployed on private instances.
We use strict Retrieval-Augmented Generation (RAG) pipelines, system groundings, and human-in-the-loop checks.
A standard proof-of-concept (POC) takes 4-6 weeks to run, assess, and deliver to sandbox testing.
Yes, we provide 24/7 managed model retraining, performance checks, and API updates under our SLA services.
ROI is measured by reducing manual touchpoints, boosting response speeds, and decreasing error processing costs.
Yes, we can containerize and deploy open-source models using Docker/Kubernetes on secure on-premise hardware.
Banking (KYC/document analysis), Healthcare (records search), and Logistics (automated routing & invoices).
Yes, we build user-friendly portals, chat interfaces, and widgets that embed directly in Slack, Microsoft Teams, or custom web apps.