Himanshu Geed was helping a friend buy a home in Dubai when disjointed, slow responses across three developers killed the momentum. He pivoted from the hiring startup he had co-founded to launch Origa, an AI concierge that gives real estate sales teams instant, multilingual responses and a shared memory of every buyer interaction. The company now processes over 100,000 monthly conversations across the UAE, India, and Malaysia, and has secured enterprise clients including Times of India and Lemonn.
Slow replies and lost context cost high-ticket deals
Salesforce research shows 64% of consumers expect real-time responses when contacting a business. In high-value real estate sales, hours-long delays push high-intent buyers to walk away. The problem compounds when buyers repeat themselves across phone, chat, and WhatsApp, while sales reps enter conversations blind to previous interactions. For sales-led businesses with large deal sizes, that fractured context translates directly into lost revenue.
Shared memory across voice, chat, and WhatsApp
Origa's AI concierge sits inside existing sales funnels. It responds instantly around the clock, learns from company data to answer accurately in multiple languages, and maintains a continuous memory across channels. Before handing a buyer to a human rep, the platform briefs the salesperson with intent signals and conversation history. This persistent context is what separates it from traditional sales AI assistants built for high-volume outbound marketing or voice-only agents that lack cross-channel recall.
For real estate teams evaluating this kind of tool, the AI for Real Estate Brokers learning path shows how AI agents fit into broker workflows.
828% ROI and zero churn among enterprise clients
During a proof of concept with Malaysian developer S P Setia, Origa delivered an 828% return on investment. Across deployments, lead qualification rates rose 18% and post-interaction customer satisfaction improved 28%. The startup has maintained a zero-churn rate among enterprise clients so far. Monthly buyer conversations exceed 100,000 across its active markets.
Pricing tied to qualified leads, not just seat licenses
Origa charges a recurring base platform fee plus a pay-as-you-go rate based on qualified leads. Annual enterprise contracts typically range from $75,000 to $150,000. In February 2026, the company raised $450,000 in a round led by Antler Singapore, bringing total funding to roughly $1 million. Angels from Uber, SpaceX, and Salesforce participated. The team plans another funding round in Q4 this year.
Risks depend on adoption and shared definitions
The model works only if sales teams treat AI-qualified leads as real opportunities. An 18% lift in qualification rates means little if marketing and sales definitions diverge at handoff. The memory layer also depends on enough buyer interactions flowing through it before a human takes over. If teams run parallel conversations in other tools or skip the workflow, the buyer profile becomes incomplete.
Why this matters for sales
Origa's early traction points to a shift in how high-ticket sales teams think about AI: not as an outbound spam engine, but as a persistent memory layer that ensures every handoff is fully briefed. For sales leaders, the takeaway is that speed matters less than continuity. Buyers will tolerate a short wait if they never have to repeat themselves. The hard part is getting teams to route all conversations through one system-because a partial memory is worse than none. Professionals exploring how AI fits into sales can review AI for Sales resources to compare approaches.
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