Automate Your CRE Deal Pipeline and CRM

Most CRE firms run their pipeline on Buildout CRM or a customized Salesforce instance. These are powerful systems of record, but they are not designed for proactive data acquisition. A broker still has to manually bridge the gap between where they find information (CoStar, Reonomy, county records) and where they manage relationships (the CRM). This gap creates hours of low-value administrative work.

Consider a 15-person brokerage prospecting for industrial tenants. A broker runs a search in CoStar for all leases expiring in the next 18 months in their target submarket, yielding 50 results. The next 4 hours are spent by an assistant or the broker themselves, copying and pasting 15+ fields for each result into Buildout, checking for duplicates, and setting a reminder task. Two weeks later, the data is already stale, and three of the entries were duplicates missed during manual review.

The structural problem is that off-the-shelf tools are built for mass-market horizontal use cases. Buildout and Salesforce provide APIs, but they do not build and maintain bespoke integrations for every niche data source in every industry. The specific business logic—like 'if a property in this zip code with over 50,000 sq ft of warehouse space appears on Reonomy, create a new opportunity in our CRM'—is unique to your firm. No SaaS product can provide that level of tailored workflow out of the box.

An engagement would begin with a thorough audit of your firm's deal pipeline and data sources. Syntora maps every step, from initial lead identification in CoStar to deal stage progression in Buildout or Salesforce. This process defines the precise triggers, data fields, and business rules that will govern the automation. You receive a technical plan detailing the integration points and workflow logic before any code is written.

The technical approach would use a set of lightweight Python services running on AWS Lambda to monitor your data sources for changes. When a new property listing or lease expiration matching your criteria is detected, a FastAPI application processes the event. This service uses Pydantic data models to normalize and validate the incoming data, ensuring consistency before writing clean, structured information to your CRM's API. This architecture is efficient, serverless, and costs under $50/month to operate.

The delivered system is a fully automated data pipeline that operates in the background, requiring no manual input from your brokers. New prospect records and property updates appear in your CRM, correctly formatted and de-duplicated. You receive the complete source code, a technical runbook for maintenance, and a simple dashboard to monitor the pipeline's activity and health.