Enterprise AI Automation, Custom SLMs & RAG Engineering
We engineer production-grade Artificial Intelligence and automation systems that go far beyond generic API wrappers. From private Enterprise Retrieval-Augmented Generation (RAG) connecting internal company knowledge to task-specific Small Language Model (SLM) fine-tuning, we build high-accuracy, cost-efficient AI solutions tailored to your operational workflows.
Challenges We Solve
- Generic LLM hallucinations causing unreliable customer responses and inaccurate answers
- Skyrocketing API token bills from sending massive prompts to cloud-hosted proprietary LLMs
- Corporate data privacy risks when exposing sensitive company knowledge to public third-party models
- Disconnected enterprise documents, spreadsheets, and databases trapped in silos without intelligent search
Our Engineering Solution
- Enterprise RAG Architecture using vector databases (pgvector, Chroma) for zero-hallucination semantic search
- Parameter-efficient SLM fine-tuning (LoRA / FunctionGemma) delivering high-speed, cost-effective task execution
- Private, localized deployment options safeguarding proprietary company intellectual property
- End-to-end API pipeline automation linking intelligent models to web apps, databases, and messaging channels
Technical Deliverables & Architecture
What our engineering team builds and delivers for ai automation
Enterprise RAG Knowledge Architecture with semantic document chunking & vector search
Engineered with clean code principles and full documentation.
Custom-Trained SLM Model Weights & LoRA Fine-Tuning pipeline for domain-specific tasks
Engineered with clean code principles and full documentation.
FastAPI & Python AI Middleware connecting models to internal software & databases
Engineered with clean code principles and full documentation.
Embeddable Conversational AI & Telemetry Dashboard with latency and accuracy tracking
Engineered with clean code principles and full documentation.
Production Tech Stack
Development Process
Structured milestone-based engineering workflow
Data Audit & Architecture Mapping
Auditing internal knowledge sources, domain workflows, and defining retrieval or fine-tuning requirements.
Vector Indexing or SLM Fine-Tuning
Generating semantic vector embeddings for RAG or executing parameter-efficient LoRA training on targeted SLMs.
API Middleware & Guardrail Integration
Building secure FastAPI endpoints, structured function-calling handlers, and strict context-bounding guardrails.
Production Deployment & Telemetry
Deploying optimized inference pipelines with real-time latency, hallucination prevention, and accuracy monitoring.
Frequently Asked Questions
Common technical and engagement questions regarding AI Automation
Architect Your Custom AI & RAG Solution
Leverage private enterprise knowledge systems and fine-tuned SLMs engineered for your specific business operations.
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Learn MoreAI Automation for Specific Business Markets
Looking for ai automation in specific regional hubs? We deliver remote engineering tailored to the business environment and industry sectors of these approved markets:
Available for Businesses in India & International Markets
Headquartered in India, Nabu Technologies delivers custom ai automation remotely to companies across key global markets with scheduled project reviews and direct technical collaboration.