Data engineering for people search companies
Challenges That Hold People Search Services Back
Too Much Data
Pulling records from courts, telecom providers, property databases, and other public sources is complex. Formats vary, update cycles differ, and licensing rules add extra layers of work. Without a consistent and scalable pipeline, gaps appear in the database, costing you user trust and potential conversions.
Entity Resolution Headaches
Duplicate or fragmented records frustrate users and create messy search results. Matching profiles across sources requires more than exact-name matches. You need algorithms that handle typos, nicknames, and missing fields. Without it, you risk false matches or scattered profiles that erode credibility.
Scalability Bottlenecks
As your dataset and traffic grow, systems can slow or fail under peak loads. Without distributed architecture that scales on demand, you’ll face downtime, slow queries, and lost revenue opportunities, especially during high-traffic events or marketing pushes.
Slow Search Latency
Even a few seconds of delay can cause users to abandon searches. Large datasets and complex filters can overwhelm unoptimized search clusters. A tuned setup delivers fast, relevant results at scale, keeping your platform competitive and your users engaged.
High Infrastructure Costs
Large datasets and heavy search traffic can drive cloud costs sky-high. Without an architecture designed to reduce cost per query, profits shrink. Optimizing storage, indexing, and caching lowers expenses while maintaining performance. So, you can free the budget for growth and innovation.
Tech Readiness
Your API and user interface are how customers interact with your data. If they’re slow, unstable, or missing critical features, the whole experience suffers. A sluggish or clunky search flow means fewer completed queries, lower conversions, and frustrated users who may not return.
Our Capabilities for People Search Companies
We design and maintain ingestion pipelines that bring together public records, telecom data, property records, and other essential sources. Using our proprietary data collection tool, we cut the cost of gathering and processing large datasets. For clients working with us under the managed team model, this tool is provided at no extra charge.
We deploy and fine-tune Elasticsearch or Solr clusters for low-latency, high-throughput queries. Pre-computed indexes, smart sharding, and targeted caching ensure fast response times while reducing cloud costs. Whether you’re serving millions of daily searches or handling complex filters, our approach keeps your platform responsive and your operating costs under control.
We architect deployments on AWS, GCP, or Azure that scale with demand. Auto-scaling groups handle traffic spikes without over-provisioning, while continuous monitoring and failover strategies keep services online. Our designs balance performance, reliability, and cost, giving you infrastructure that grows with your user base without wasting resources.
Our machine learning–driven entity resolution links fragmented records into clean, unified profiles. We use probabilistic matching and fuzzy linking to handle typos, nicknames, and incomplete data. The result: fewer duplicates, fewer false matches, and richer profiles that improve search accuracy and user trust in your platform.
We develop APIs that give your platform fast, reliable access to core functions—from real-time people lookups and reverse phone searches to profile retrieval and batch data queries. Built for high throughput and low latency, our APIs scale with your traffic while maintaining consistent performance. On the platform side, we deliver responsive, user-friendly interfaces that keep searches smooth and results clear, encouraging repeat use and higher conversion rates.
We Know What Drives You
Increased Search-to-Purchase Conversions
We clean, enrich, and unify records, reducing false matches and outdated information. That means more users find exactly who they’re searching for, more often, and choose to buy reports or subscribe.
Lower Abandonment Rates
We optimize search clusters, indexes, and caching so your queries return results instantly, even under heavy load. Faster results keep users engaged, improve the search-to-purchase flow, and reduce wasted acquisition costs.
Reduced Cloud Bills
We design architectures that deliver peak performance while minimizing compute and storage overhead. Pre-computed indexes, smart sharding, and strategic caching cut cost per query—freeing budget for marketing, product development, or new data sources.
More Retained Subscribers
We implement real-time and incremental data ingestion, so changes in public records, telecom, or property data flow into your platform quickly. The payoff: higher customer satisfaction, lower churn, and more subscribers renewing month after month.
What We’ve Delivered for Data-Driven Platforms
PDF data extraction
Learn how Intsurfing parsed 18M PDFs, identified 1.2M turnover data points, and kept costs as low as 0.7 cents per 1,000 files.
Learn more->
Data collection tool
Learn how Intsurfing developed a data collection platform that allows developers with basic coding skills to get data from online sources.
Learn more->
Entity resolution solution
Matched 400M records in 40 minutes using Splink on Spark. Achieved 76% deduplication with 85%+ confidence threshold in a fully automated pipeline.
Learn more->
ETL for India voter data
Learn how Intsurfing arranged the ETL pipeline for our client to collect data on Indian voters from local portals. Sample data included.
Learn more->
Address processing system
Discover how the Intsurfing team made an address parsing system 2x faster with Redis, new verification algorithms, caching, and deduplication.
Learn more->
Data Pipeline and Search Engine Optimization
Cut processing time in half, speed up search 10x. Learn how we optimized ETL pipelines, storage, and indexing for real-time data insights.
Learn more->Choose How You Work With Us
Data Collection Outsourcing
Get the data you need — without adding to your team’s workload. We handle one-time or ongoing delivery, including dynamic and complex sources, through our in-house engine. Pricing starts at just $0.0001 per record. We’ll even set up a custom module and deliver sample data in 1–4 business days, free of charge and with no commitment required.
Managed Data Engineering Team
Add an expert data engineering team to your operations without the hiring hassle. We manage recruitment, onboarding, coordination, time-off, and full Ukrainian compliance. Your team can include engineers, QA, DevOps, and solution architects—ready to start in just 2–4 weeks. You also get free access to our proprietary data collection and orchestration tool to boost your capabilities.
Make big data work for you
Reach out to us today. We'll review your requirements, provide a tailored solution and quote, and start your project once you agree.
Contact us
Complete the form with your personal and project details, so we can get back to you with a personalized solution.
