Settilo VS AgentClara

Settilo's answer

Settilo analyzes the neighborhood, not the listing. While most real estate platforms focus on property details, Settilo surfaces the data that surrounds it — crime trends over time, school quality at the attendance-zone level, local economic trajectory, and housing value trends — pulled from authoritative public sources and presented in one place.

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.

Settilo's answer

Settilo is built exclusively for buyers, with no listing revenue, no agent relationships, and no incentive to obscure unfavorable data. Competitors l target institutional and B2B customers at $125–400/month. Settilo makes the same depth of neighborhood intelligence accessible to individual buyers at a consumer price point, with a comparison interface built around the actual decision: which neighborhood fits my priorities.

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.

Settilo's answer

Analysis-first home buyers — people relocating to an unfamiliar city, first-time buyers doing serious research, and anyone who wants to understand a neighborhood before committing to it. They're data-literate, often comparing 3–5 areas simultaneously, and frustrated by how scattered the relevant information is across government databases.

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.

Settilo's answer

Settilo was built by a team that went through the home-buying process and noticed that every useful data point required a different government website, inconsistent formats, and hours of manual work. The property data was easy to find. The neighborhood data — the part that determines long-term quality of life — wasn't. Settilo launched in March 2026 to fix that.

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.

Settilo's answer

Next.js, PostgreSQL with PostGIS for geospatial queries, US Census Bureau data (ACS), FBI UCR crime data, GreatSchools API, and Mapbox for geographic visualization.

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.