
Transforming RAISN operations
Manual lead qualification was a huge time drain, so Raisn automated the whole process - saving money while helping sales teams work smarter.
About
INDUSTRY
SalesTech
SERVICES
Lead Scoring, Conversational AI, Content Personalization
The Challenges
Manual Lead Bottlenecks
Raisn struggled with unqualified leads wasting time, unclear buyer intent, and lack of structured follow-ups from previous conversations.

The Solutions
Intelligent Platform Engineering
To transform Raisn's real estate sales operations into an intelligent, scalable, and automated platform, we implemented a comprehensive full-stack strategy.
- Built a clean, intuitive dashboard where agents can see lead scores, profiles, and concerns at a glance.
- Created detailed lead views showing priority ratings, lifestyle segments, and conversation summaries that update in real-time.
- Added NLP-powered insights from call transcripts, automatically highlighting budget concerns, objections, and buying signals.
- Made it easy for reps to update, rate, and act on leads with quick toggles and filters.
- Automated the process of enriching raw lead data with location intelligence, demographics, and preference analysis.
- Built scoring logic that uses business rules, behavioral data, and conversation insights to rank leads intelligently.
- Our team created microservices that parse conversation logs and turn concerns into structured, actionable data fields.


Improved Lead Processing Accuracy
Reduced Manual Intervention
Faster CRM Deployment Cycles
Compliance Fix Rate
The Results
Business Impact
- Built a comprehensive real estate CRM using ReactJS and Django, automating lead management across environments for better releases.
- Migrated all lead data and associated databases to a centralized system to reduce latency, improve performance, and simplify CRM for Realtors management.
- Upgraded all conversation intelligence platform features to latest stable versions and fine-tuned NLP algorithms to ensure buyer intent recognition.
- Resolved SSL certificate misconfigurations by applying industry best practices, fixing security loopholes, and ensuring optimal sales productivity tools performance.
- Automated lead enrichment tool processes using custom shell scripts and APIs, ensuring timely lead qualification and eliminating manual overhead.
- As a python development company, we streamlined Python development services provisioning through scripted automation, allowing for quick, consistent environment setups
- Collaborated with the client's internal teams to address compliance-related gaps critical for data security and lead qualification.
Ready To Transform Your Business?
Let's discuss how our services can help you achieve your technology goals and drive business growth

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Call Us
+1 (555) 123-4567

Visit Us
123 Tech Avenue, Suite 500
San Francisco, CA 94107
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FAQ's
Raisn FAQ's
How does Raisn's conversation intelligence actually work with our existing sales calls?
Raisn automatically analyzes your call recordings and transcripts using NLP technology. It picks up on key signals like budget concerns, timeline urgency, and objections, then organizes these insights into easy-to-read summaries. Your sales team gets a clear picture of what prospects are really thinking without having to listen to entire calls again.
Can Raisn integrate with the CRM system we're already using?
Yes! Raisn is built with integration in mind. Our REST API layer connects seamlessly with most popular real estate CRMs and sales tools. You won't have to abandon your current setup - Raisn enhances what you already have by adding intelligent lead scoring and conversation insights on top of your existing workflows.
How quickly will we see improvements in our sales team's productivity?
Most teams start seeing results within the first few weeks. The lead enrichment and scoring features immediately help reps focus on the most promising prospects, while the conversation insights make follow-ups much more targeted. Our clients typically see measurable improvements in conversion rates and follow-up speed within 30-60 days of implementation.