We build AI chatbots for small businesses

Every day, local service businesses miss calls, lose Instagram DMs, and wake up to voicemails from customers who've already booked with a competitor. Not because they don't care — but because they're busy doing the actual work: cutting hair, treating patients, cleaning homes, training clients.

Human inbox coverage is valuable, but its cost and available hours vary by market and staffing model. Businesses that receive messages outside staffed hours need a clear automatic response and escalation path.

Many chatbot platforms rely on rigid decision trees that frustrate customers and require constant maintenance. We built a business-aware chatbot that can understand a message, use approved business information, and complete practical tasks.

OpenTulpa is trained on your specific business — your services, pricing, availability, policies, and tone. Instead of following a fixed flowchart, it uses that context to answer questions, book appointments against your calendar, and escalate conversations that need a human.

The same chatbot can cover the messaging channels your customers already use, including your website, Instagram DMs, and WhatsApp. Each channel shares the same approved business knowledge and escalation rules.

Many enterprise AI tools are designed for larger support teams and complex deployments. Local service businesses need a focused setup for booking, quoting, qualification, and customer communication with transparent flat-rate pricing.

We focus on industries where the operational pain is highest and the technology gap is widest: hair salons, dental and medical clinics, cleaning services, gyms and fitness studios, physiotherapy and chiropractic clinics, and real estate agencies.

We believe the best business chatbot is one you don't have to constantly maintain. You describe your business once — what you offer, how it's priced, what a qualified customer looks like, and what channels you want covered — and OpenTulpa uses that information in customer conversations.

The setup starts with business information and explicit rules rather than a large flowchart. Channel, calendar, CRM, or phone-system connections can still require account access, provider approval, configuration, and testing.

Human oversight is built into the product from the start. Sensitive actions require your approval. Unusual requests get flagged. You stay in control of the decisions that matter while the chatbot handles routine message volume.

Our product and educational pages are written from documented OpenTulpa capabilities, current pricing, and hands-on testing of the customer messaging flows we describe. We check links, examples, structured data, and channel claims before publishing.

When we compare tools or cite external facts, we review the provider's public documentation and identify the source or basis for the claim. We revisit content when product behavior, pricing, or source information changes, and we avoid presenting estimates as guaranteed outcomes.