Intelligent systems. Human results.
Bring the power of artificial intelligence into your business workflows. We design, train, and deploy custom AI models and automation systems that save time, reduce costs, and unlock new capabilities.
AI That Actually Gets to Work
.png&w=384&q=75)
Customer Support Bot
RAG-powered chatbots trained on your knowledge base — resolving 80% of tickets without human intervention.
.png&w=384&q=75)
Computer Vision QA
Automated visual inspection systems that catch defects, verify labels, or classify products at scale.
.png&w=384&q=75)
Predictive Analytics
Forecast sales, churn, demand, or maintenance needs using your historical data.
.png&w=384&q=75)
Smart Email Parsing
Auto-extract structured data from unstructured emails and route them to the right workflows.
.png&w=384&q=75)
Document Intelligence
Parse invoices, contracts, and reports automatically — no templates, just intelligence.
RPA + AI Hybrid
Combine rule-based RPA with ML models to automate complex, judgment-intensive processes.
Our AI Capabilities
- Custom LLM Integration & RAG Systems
- Computer Vision & Image Recognition
- NLP & Chatbot Development
- Predictive Analytics & Forecasting
- Business Process Automation (RPA)
- AI-powered Recommendation Engines
Tech Stack
Our Engagement Model
Frequently Asked Questions
Common questions about ai/ml automation at Peplead.
Do I need a huge dataset to use AI?
Not for most use cases. Modern LLMs and RAG systems work on your existing documents and databases without any training data. Custom models need volume — we'll tell you honestly which category your problem falls into.
What's a RAG system, in plain terms?
Retrieval-Augmented Generation lets an AI answer questions using your own documents rather than general internet knowledge. It's how you build an assistant that actually knows your products, policies and history — and can cite where each answer came from.
Is my data safe?
Yes. We can deploy models in your own cloud environment so data never leaves your infrastructure, and we sign NDAs before discovery. For regulated industries we design to your compliance requirements from day one.
How much time does automation actually save?
It varies by workflow, but document processing, data entry and first-line support routinely cut manual hours by 60–80%. We measure the baseline before we build so the saving is a number, not a claim.
Which models and tools do you work with?
Python with TensorFlow and PyTorch, LangChain for orchestration, the OpenAI and Anthropic APIs for LLM work, and FastAPI for serving. We're deliberately model-agnostic — the right choice changes every few months.
Can you integrate AI into software we already use?
Usually yes. We build integrations into CRMs, ERPs, helpdesks and internal tools through their APIs, so your team keeps working where they already work instead of learning another dashboard.