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Real Estate & PropTech

Property technology that thinks like an operator

Lead-qualifying agents for developers and brokers, tenant service automation for managers, and document intelligence for leases and valuations, integrated with the CRMs and portals you already use.

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Use cases

Where AI pays off in Real Estate & PropTech

01

Lead qualification agents

WhatsApp and web agents that qualify buyers, schedule site visits and sync with the CRM.

02

Tenant operations

Maintenance requests, renewals and payments automated with escalation to managers.

03

Lease & valuation intelligence

Clause extraction, comparable analysis and reporting from unstructured documents.

MinutesLead response time with an always-on qualification agent
1 inboxFor every property enquiry channel
Services

How we help

AI Agents & Automation

Multi-agent systems, copilots and workflow automation that hold up in production.

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Product Engineering

Web apps, mobile apps, SaaS platforms and design, shipped in weeks.

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What we solve

Problems we solve in Real Estate & PropTech

Each maps to a reference architecture and to outcomes the industry has documented.

Voice agent

Calls missed, callers on hold

Clinics, dealerships and service businesses lose bookings after hours and during peaks. IVR menus frustrate callers and staff repeat the same ten conversations all day.

How the system works

  1. Call arrives
  2. Streaming speech-to-text
  3. Agent reasons & checks calendar / CRM
  4. Streaming text-to-speech
  5. Book, confirm, hand off
Twilio / LiveKitDeepgramElevenLabs / CartesiaOpenAI / GeminiPipecat / Vapi

Outcome: Voice agents replacing IVR resolve a majority of qualified calls automatically (66% at one Parloa customer) and cut wait times by a third or more, at turn latencies under a second. Parloa customer results

Architecture
Orchestrated multi-agent workflow

Swivel-chair work across systems

Onboarding, reconciliation, procurement and approvals require people to read one system and type into another, with rules that live in someone's head.

How the system works

  1. Trigger (email, form, event)
  2. Orchestrator plans steps
  3. Worker agents read & decide
  4. Confirm risky actions
  5. Update systems & log
LangGraph / Agents SDKMCP tool serversCRM / ERP APIsHuman checkpointsTraces & replay

Outcome: CRM-native agents at a regulated vendor deflected 72% of support cases to self-service and saved 7.5 hours per case handled with AI assistance. Smarsh on Salesforce Agentforce

Architecture
Sales agent with CRM tools

Leads that go cold before anyone replies

Inbound leads wait hours, reps spend their time on CRM hygiene, and nobody knows which deals deserve attention this week.

How the system works

  1. Lead arrives
  2. Enrich from web & CRM
  3. Qualify & score
  4. Reply or book meeting
  5. Log to CRM & alert rep
HubSpot / SalesforceWeb enrichmentTool callingWhatsApp / emailGuardrails

Outcome: AI-agent adoption in customer-facing service organisations rose from 39% to 66% between 2025 and 2026; the same grounded-agent pattern applies to first response and qualification in sales. Salesforce research via Agentforce ecosystem guide

Architecture

Let's build intelligent systems that drive growth

Tachyon is the engineering partner for teams that need AI in production, not in a deck. Start with a free 60-minute discovery call.

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Talk to experts about your product idea

Every great partnership begins with a conversation. Whether you are exploring possibilities or ready to scale, tell us what you are actually trying to build.

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Pick a 60-minute slot. No pitch, just an engineer with honest answers.

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NDA available on request. We reply within one business day.