AI Development & Automation
We Engineer AI Systems That Run Your Business - Not Just Impress Your Board
We don't build AI demos. We build AI systems that solve real business problems. From intelligent agents that handle customer queries to RAG pipelines that surface the right answer from thousands of documents - we deliver AI that works in production, at scale, every day.
AI Services
AI That Solves Problems, Not Creates Them
Every AI project we take on starts with a business problem - not a technology wish list. We build systems that integrate into your operations, reduce manual work, and deliver measurable results.
Custom AI Applications
Purpose-built AI applications designed around your specific workflows. We architect, train, and deploy models that understand your domain - not generic off-the-shelf tools that need months of tweaking.
AI Agents for Business
Autonomous agents that handle multi-step tasks: answering customer questions, processing orders, updating inventory, and escalating to humans only when necessary. They work 24/7 and get smarter over time.
Business Process Automation
Replace manual, repetitive workflows with intelligent automation. From invoice processing and data entry to order routing and compliance checks - AI handles the volume while your team handles the exceptions.
Customer Support Automation
AI-powered support that actually resolves tickets - not just deflects them. Our systems pull from your product catalog, order history, and knowledge base to give accurate, context-aware answers.
LLM Integration & Fine-Tuning
We integrate large language models (GPT, Claude, Gemini, open-source) into your existing stack. Prompt engineering, fine-tuning, guardrails, cost optimization - we handle the full lifecycle.
Intelligent Search & Discovery
Semantic search that understands intent, not just keywords. Your customers and internal teams find exactly what they need - across products, documents, policies, or knowledge bases - in seconds.
Technical Capabilities
The Engineering Behind Production AI
Building a prototype is easy. Building a system that handles thousands of requests, stays accurate, and doesn't hallucinate in production - that's engineering. Here's what we bring to the table.
Retrieval-Augmented Generation pipelines that ground LLM responses in your actual data. We build the full stack: document ingestion, chunking strategies, vector storage, retrieval ranking, and answer generation with source citations.
Automated extraction of structured data from invoices, contracts, PDFs, emails, and forms. Our pipelines parse, classify, and route documents with high accuracy - replacing hours of manual data entry.
End-to-end automation that connects your CRM, ERP, eCommerce platform, and communication tools. AI orchestrates the decision-making; APIs handle the execution. No manual handoffs required.
Dashboards that don't just display data - they explain it. Natural language interfaces let your team ask questions about revenue, inventory, or customer behavior and get instant, accurate answers.
AI systems built specifically for eCommerce: product recommendations, dynamic pricing, automated catalog enrichment, intelligent merchandising, and conversational shopping assistants connected to your Magento, Shopify, or custom store.
Multi-turn conversational agents that go beyond FAQ bots. They understand context, handle complex queries, access real-time data from your systems, and know when to hand off to a human agent.
How It Works
AI in Action: From Customer Question to Resolved Ticket
This is what a production AI agent actually does - not a flowchart on a slide deck, but the real flow that handles thousands of interactions daily.
Customer Asks a Question
A customer reaches out via chat, email, or your storefront: "Where is my order?" or "Do you have this product in size XL?" The AI agent receives the query and classifies the intent instantly.
AI Agent Understands Context
The agent identifies the customer, pulls their order history, checks their account status, and understands the full context of the request - no "please provide your order number" loops.
Retrieves Data from Your Systems
The agent queries your product catalog, order management system, ERP, shipping provider, or knowledge base in real time. It pulls the exact data needed to answer the question accurately.
Delivers a Personalized Answer
The customer gets a precise, context-aware response: "Your order #4521 shipped yesterday via FedEx and will arrive Thursday." No generic replies. No hallucinated tracking numbers.
Escalates to a Human When Needed
The agent knows its limits. Complex complaints, refund edge cases, or high-value customer requests are routed to your human team - with full context already attached, so they can resolve immediately.
Frequently Asked Questions
AI Development - What You Need to Know
Straight answers to the questions we hear most from teams evaluating AI for their business.
What is an AI agent, and how is it different from a chatbot?
A chatbot follows scripted flows - it can answer predefined questions but breaks when something unexpected comes up. An AI agent is autonomous: it understands intent, retrieves real-time data from your systems (orders, inventory, CRM), takes actions (updates a record, triggers a workflow), and makes decisions within boundaries you define. Think of a chatbot as a phone tree and an AI agent as a knowledgeable employee who can actually get things done.
How can AI automate my eCommerce operations?
AI can handle customer support inquiries (order status, returns, product questions), automate catalog management (descriptions, tagging, translations), optimize pricing based on demand and competition, personalize product recommendations, process and classify incoming documents (invoices, vendor communications), and orchestrate fulfillment workflows. The key is starting with the highest-volume, most repetitive tasks - that's where ROI hits first.
What is RAG, and why does it matter?
RAG stands for Retrieval-Augmented Generation. Instead of relying solely on an LLM's training data (which can be outdated or generic), RAG systems first retrieve relevant information from your own data - product catalogs, documentation, policies, order databases - and then generate an answer grounded in that real data. This dramatically reduces hallucinations and ensures the AI gives accurate, up-to-date responses specific to your business.
How long does a typical AI project take?
A focused AI agent or automation project typically takes 6-10 weeks from kickoff to production deployment. This includes discovery (understanding your data and workflows), architecture, development, testing with real data, and deployment. More complex projects involving multiple system integrations, custom model training, or enterprise-scale RAG pipelines may take 3-4 months. We always start with a scoped pilot so you see results quickly before scaling.
Can AI integrate with my existing systems (ERP, CRM, eCommerce platform)?
Yes - integration is a core part of every project we deliver. AI systems are only useful when they're connected to your real data and workflows. We integrate with Magento, Shopify, Salesforce, HubSpot, SAP, NetSuite, custom ERPs, and any system with an API or database connection. We build the middleware, handle authentication, data mapping, and error handling so the AI works reliably within your existing tech stack.
Ready to Put AI to Work?
Tell us about the business problem you need solved. We'll show you exactly how AI can address it - with a clear scope, timeline, and architecture. No buzzwords, no vaporware.