Why Cost Optimization Matters
Search systems are resource-intensive.
At scale, these costs compound. Our AI-native approach helps reduce them — while improving user experience.
- Bloated infrastructureBloated infrastructure
- Expensive full-text indexing
- Inefficient retrieval pipelines
- High latency = high churn
Results We Deliver
🚀 40–70% decrease in search infrastructure costs
🧠 2–5x improvement in content relevance = less need for over-indexing
⏱️ 30–60% faster average query time
📦 Up to 80% less storage for document indexes
Zero/First-Party Data Only
Built on Intelligent Components
Semantic Caching
Avoid duplicate or similar queries using embedding awareness
Tiered Indexing:
Store high-priority data in fast memory; cold data in cost-efficient stores
Personalized Retrieval:
Show fewer, more relevant results — reduce server calls and client load
Token & Bandwidth Reduction:
Compress query chains and memory usage with optimized LLM prompting
What We Optimize
🔄 Retrieval Efficiency
Replace redundant full-index searches with vector and hybrid retrieval that finds relevant data faster, with fewer compute cycles.
📉 Infrastructure Footprint
Use embedding-based search that reduces dependency on large clusters and expensive query execution models.
⚡️ Faster Results, Lower Latency
Optimize for low-latency inference at the edge , reducing the need for heavy backend calls and central compute.
📊 Smarter Caching & Ranking
Only re-rank what’s needed. Use session-level caching, adaptive ranking models, and context filtering to reduce processing per query.
How It Works
01. Audit
your current search stack: engines, ranking, and infra cost
02. Deploy
hybrid retrieval with vector + sparse indexes
03. Configure
smart ranking pipelines that reduce compute per query
04. Optimize
inference, caching, and preloading for performance
05. Measure
improvements in cost per query, latency, and user engagement
What they say about us
Syncs effortlessly with major programming languages
HTML
CSS
Phyton
News & articles
Oil & Gas Services Statistics Market Research Report
Gobal medical-technology (MedTech) market is estimated at ~US$668.2 billion in 2024, growing to ~US$694.7 billion
Frequently asked questions for enterprise search
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
Oil & Gas Services Statistics Market Research Report
Gobal medical-technology (MedTech) market is estimated at ~US$668.2 billion in 2024, growing to ~US$694.7 billion
HealthCare/MedTech Market Research Report
Frequently asked questions for enterprise search
What is Search.co?
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
What is Search.co for?
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
What types of proxies do you offer?
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
Can I rotate proxies automatically?
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
What is the difference between residential, datacenter, and mobile proxies?
What is the ingestion engine built on?
Frequently Asked Questions
What is Search.co?
Frequently asked questions for enterprise search
What is Search.co for?
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
What types of proxies do you offer?
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
Can I rotate proxies automatically?
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
What is the difference between residential, datacenter, and mobile proxies?
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
What is the ingestion engine built on?
Residential Proxies use real devices with ISP-assigned IPs. Ideal for stealth scraping. Datacenter Proxies are faster and more cost-efficient but easier to detect. Mobile Proxies offer maximum trust for mobile-app scraping or anti-fraud use cases.
What formats and protocols are supported for ingestion?
Our ingestion engine uses a SQL-first approach, built with Apache Flink, GraphQL, and DataSQRL under the hood. You define transformations in SQL or the SQRL language; we handle scaling, streaming, and deployment.
Can I use LLMs in my pipeline?
We support Kafka, REST, Parquet, GraphQL, JDBC, flat files, and streaming event logs. You can also ingest directly from our proxy-extracted data streams.