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Get a real-time quoteAI systems built for commercial real estate.
NextAutomation is an AI implementation partner for commercial real estate. We design, build, and deploy custom AI systems for real estate investors, developers, and capital allocators, replacing manual research and repetitive work with purpose-built AI. Our implementations automate acquisition pipelines (deal sourcing, underwriting, off-market intelligence), investor relations (LP reporting, capital-raise sequences), and development and construction operations (permit tracking, pro-forma generation). We follow an audit, build, maintain model and deliver working implementations the client owns, not another SaaS tool to bolt on.
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Min project size
$10,000+
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Hourly rate
$300+ / hr
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Employees
2 - 9
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Locations
Wilton Manors, FL
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Year founded
Founded 2025
1 Locations
- Wilton Manors , FL
- AI Consulting
- 25%
- AI Development
- 25%
- AI Agents
- 20%
No Focus Areas have been added yet…
- Real estate
- 75%
- Financial services
- 10%
- Construction
- 5%
- Franchises
- 5%
- Hospitality & leisure
- 5%
- Midmarket ($10M - $1B)
- 75%
- Small Business (<$10M)
- 15%
- Enterprise (>$1B)
- 10%
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Our Story
NextAutomation builds custom AI systems for commercial real estate investment and development teams. We connect deal sourcing, property and owner research, deal documents and underwriting models around each firm's workflow. Your buy box, data sources, integrations and review rules shape the build. Source references and analyst corrections stay with the output, so your team can inspect the handoff before using it.
What Sets Us Apart
Custom systems for CRE deal teams
We configure sourcing and underwriting around your firm's buy box, source access, models and review rules. The scope covers the inputs, integrations and acceptance checks needed to put the workflow into use.Source references stay with the output
A sourcing record or underwriting input should come with the document, record date and review context behind it. Our workflows keep unresolved questions and analyst corrections visible for the team receiving the handoff.Inspect our work before the first call
Explore our published sourcing and document-workflow examples, then download the source-to-output packet and repeat the handoff review exercise. The sample shows the inputs and corrections without using client or prospect data.Locations (1)
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