SmartBot CX Assistant
An AI customer service assistant trained on custom business content to answer customer questions around the clock.
GPT-4Custom trainingChatbot
Alpha Loop AI Lab
Make your business intelligent.
We turn AI from a demo into business infrastructure, connected to your data, workflows, customers and measurable outcomes.
Agentic AI
RAG + Vector Search
Vision AI
Voice AI
LLM + Your Data
Orchestration
What we build
Practical AI capabilities, designed around your business problem rather than the latest buzzword.
AI Agents & Agentic AI
Autonomous, goal-driven AI agents that plan, use tools and complete multi-step business workflows.
Generative AI & LLMs
Production-ready large language model applications, prompt systems and AI copilots for your team and customers.
RAG & Enterprise Knowledge
Grounded retrieval, vector search and private knowledge assistants that answer from your own documents.
AI Orchestration
Multi-agent workflows, tool calling, memory and intelligent routing across your systems and APIs.
Voice & Conversational AI
Real-time voice agents, speech intelligence and conversational automation for support and sales.
Computer Vision
OCR, document intelligence, image understanding and visual inspection for your operations.
Predictive AI & ML
Forecasting, classification, recommendation and decision intelligence built on your data.
AI Automation & Workflows
Intelligent automation across sales, support, operations and marketing, with humans in the loop.
Where AI helps your business
Common places where teams see the fastest value from AI and automation.
Customer Support
AI assistants that answer questions from your knowledge base, triage tickets and hand over to humans when needed.
Sales & Lead Gen
Lead qualification, intelligent follow-ups, proposal drafting and CRM updates handled automatically.
Operations
Document processing, data extraction, report generation and approvals across back-office workflows.
Marketing & SEO
Content workflows, research, personalisation and performance reporting powered by AI.
How an AI project runs
A clear, staged process that keeps risk low and results measurable.
Use-case discovery
We identify where AI can save time or create value, and define clear success metrics before writing code.
Data & architecture
We assess your data, choose models and design a secure architecture that fits your systems.
Build & evaluate
We prototype quickly, then test accuracy, safety and cost with real examples from your business.
Deploy with guardrails
We launch with access controls, monitoring, fallbacks and human review where it matters.
Monitor & improve
We track quality, usage and cost, and keep improving prompts, data and workflows over time.
AI you can trust in production
An impressive demo is easy. A reliable system that your team and customers can depend on takes engineering, testing and care. That is what we focus on.
We are open about what AI can and can't do, so you can make informed decisions. See also our AI terms.
Our principles
- Grounded in your data, so answers are relevant and easier to verify.
- Human-in-the-loop for decisions that matter: review, approval and escalation paths.
- Guardrails and evaluation to reduce errors, unsafe output and unwanted behaviour.
- Privacy first: we do not use client data to train general-purpose or third-party models without your written agreement. See our Privacy Policy.
- Security by design: access control, encrypted connections and careful handling of keys and credentials.
- Transparent costs: we explain third-party model and API usage costs up front.
Tools & technologies
We choose models and tools to fit your needs, budget and data requirements.
OpenAI APILangChainRAGVector DatabasesEmbeddingsPythonFastAPITensorFlowNode.jsPostgreSQLRedisDockerAWSGoogle CloudCI/CDREST APIs
Selected AI work
A look at the kind of AI solutions we deliver.
Intelligent Business Agent
A goal-driven AI agent that qualifies leads, retrieves company knowledge and automates repeatable workflows.
AI agentsRAGAutomation
AI questions, answered
More answers on our FAQ page.
What is an AI agent, and how is it different from a chatbot?
A basic chatbot answers questions in a conversation. An AI agent can also take action: it can use tools, look up information, follow multi-step workflows and complete tasks such as qualifying leads or updating your systems, usually with human oversight where needed.
What is RAG?
RAG (Retrieval-Augmented Generation) lets an AI assistant answer using your own documents and data instead of only general knowledge, which makes answers more relevant and easier to check.
Is my data used to train AI models?
No. We do not use client data to train general-purpose or third-party AI models unless you expressly agree in writing. Where a project uses third-party AI APIs, we describe the data flow in the project agreement.
Can you add AI to my existing software or website?
Yes. We can integrate chatbots, search, document processing, voice features or automation into existing systems through APIs, without rebuilding everything.
How accurate are AI systems?
AI can occasionally be inaccurate, incomplete or out of date. We reduce this with grounding, guardrails and evaluation, and we recommend human review for legal, medical, financial or other high-stakes decisions.
How do we get started?
Tell us about the problem you want to solve through our contact page. We will discuss your goals and data, then propose a scoped plan with a timeline and cost, often starting with a small proof of concept.
Ready to put AI to work?
Tell us about the process, product or problem you want to improve. We'll help you find the right starting point.