Challenges
Fragmented data sources and manual processes made property evaluation, zoning research, and market analysis slow and inconsistent
Brokers lacked a unified, map-based platform to visualize and analyze property intelligence, making it difficult to derive actionable insights quickly
Client engagement relied on manual interactions with no intelligent system to respond to queries or provide contextual recommendations
Generating property summaries, marketing visuals, and investment narratives was time-consuming and inconsistent
Absence of a centralized data platform and automated DevOps processes resulted in limited scalability and increased operational overhead
Inconsistent deployments and growing transaction volumes demanded a scalable, DevOps-driven architecture capable of real-time analytics and AI-driven interactions
NuVista AI's Solution
NuVista AI designed and implemented a DevOps-driven AWS architecture enabling a scalable real estate brokerage intelligence platform with integrated data lake and AI capabilities.
CI/CD Pipeline & DevOps Automation
Implemented automated CI/CD pipelines enabling consistent build, test, and deployment processes across all environments
Standardized infrastructure provisioning and configuration to eliminate deployment inconsistencies and reduce operational overhead
Established automated rollout and rollback mechanisms ensuring reliable, repeatable deployments with minimal manual intervention
Reduced deployment-related manual effort by over 60%, improving release consistency and enabling faster feature delivery
Infrastructure & Security
Implemented Amazon S3 as centralized storage for structured and unstructured property data
Configured S3 event triggers invoking AWS Lambda for automated data ingestion and processing
Used AWS Glue for ETL workflows and data cataloging, enabling unified data discovery
Enabled serverless querying and real-time analytics using Amazon Athena
Built secure API management using Amazon API Gateway for all broker-facing workflows
Implemented event-driven and API-based backend services using AWS Lambda
Powered AI-driven property insights, query responses, and content generation using Amazon Bedrock
Implemented a RAG (Retrieval-Augmented Generation) architecture using S3 and DynamoDB for contextual, domain-specific outputs
Enabled brokers to interact with property data through an intelligent chat agent, reducing manual research time significantly
Enforced least-privilege access control using AWS IAM within an Amazon VPC for full network isolation
Centralized monitoring, logging, and alerting using Amazon CloudWatch
The Outcome
Deployment automation reduced manual effort by over 60%, improving consistency and enabling faster feature releases
Property evaluation cycles reduced from days to hours through real-time analytics powered by the data lake and AI capabilities
Platform supports 10x traffic spikes without performance degradation, ensuring high availability and reliability
Security and governance strengthened through IAM-based access control and secure API exposure
Cost optimization achieved through serverless services (Lambda, Athena, Bedrock) and S3 lifecycle policies, reducing operational overhead and improving cost predictability
Centralized data lake improved data accessibility and accuracy across all broker workflows
RAG-based AI enhanced contextual property insights, leading to improved broker productivity and better client engagement
Established a scalable, future-ready AWS foundation supporting continuous innovation and platform growth
Company:
OnPace Partners – A rapidly growing real estate services firm focused on delivering data-driven property intelligence, market analysis, and broker productivity solutions.
Overview:
OnPace Partners is a US-based real estate brokerage intelligence firm that enables brokers and advisors to evaluate properties, analyze market trends, and generate investment narratives through a unified, map-based analytics platform. The platform combines structured and unstructured data sources to deliver real-time insights and faster decision-making.
Value Provided:
OnPace empowers real estate brokers by centralizing property intelligence, automating client engagement through AI-driven chat, and enabling faster, more accurate property evaluations. By replacing manual processes with automated DevOps workflows and AI capabilities, the platform improves broker productivity, enhances client engagement, and supports better investment decisions at scale.