AgentClara's answer

Most AI receptionists answer the phone. Clara staffs the whole front desk: she answers every call 24/7, books clients straight into your live diary, chases enquiries that didn't book, and covers your website chat, SMS, social media inbox and email — with those extra channels included free, not sold as add-ons. She's UK-built, GDPR-native, priced in pounds, and you set her up yourself online in minutes with a free number and £100 of credit — no sales call, no quote.

CausalMap's answer:

It's the only platform for qualitative causal data analysis: causal QDA. "Like Nvivo, but for stories"

AgentClara's answer

UK service businesses that lose money to missed calls — gyms, salons, aesthetics clinics, dental practices, estate agents and law firms — where one missed enquiry is a lost booking worth hundreds. The second audience is agencies and resellers who want to offer AI receptionists to their own client book without building the technology themselves.

CausalMap's answer:

Social researchers, evaluators, academics

AgentClara's answer

AgentClara was built by a Glasgow gym owner who kept losing members to unanswered calls. The phone rang mid-class, the Instagram DM arrived at 10pm, and the customer joined the gym down the road — not because the service was worse, but because nobody answered. Clara was built to be the employee that always answers, and now does the same job for service businesses across the UK.

CausalMap's answer:

We built it to support our own work as evaluators.

AgentClara's answer

Three reasons. First, channels: rivals are phone-first, so DMs and web chat go unanswered — Clara covers every channel in one place. Second, booking: many entry plans only take messages or send a booking link; Clara books the appointment during the call and sends the confirmation. Third, no sales process: the big UK incumbents quote you after a consultation, while Clara is self-serve with £100 of free credit so you can test her on your real calls before paying anything.

CausalMap's answer:

Don't use a theme-based QDA app like Nvivo if you want to cut to the chase: what is driving what? What are the main causes and effects, according to your sources?

CausalMap's answer:

University of Bath, University of Notre Dame, Unicef, Save the Children, IFRC, TreeAid, Concern, Diageo

AgentClara's answer

A React and TypeScript web application on a Postgres backend, with real-time voice handled over a persistent WebSocket bridge for low-latency conversation. Large language models power the conversational layer, with dedicated speech and telephony infrastructure for calls, plus integrations for calendars, messaging channels and payments.