Search.co

Smarter Recommendations, Less Guesswork

Our AI-powered recommendation systems go beyond simple "people who bought this also bought that" logic. Powered by advanced language models and real-time behavioral analysis, we deliver recommendations based on true context—user intent, semantic relevance, and dynamic preferences—not just clicks and filters. Whether you're in e-commerce, media, SaaS, or real estate, you can deploy tailored recommendation models that improve decision-making, reduce churn, and drive ROI—all with no need for in-house AI infrastructure.

1B+

Vectors

<100ms

Query time

13

Models

How it Works

Search.co’s recommendation engine ingests your structured or unstructured data—from product catalogs to user activity logs—and uses a mix of collaborative filtering, natural language understanding, and semantic embeddings to match users with the most relevant items or actions. You can deploy pre-trained models out of the box or train on your own proprietary data. Recommendations can be served via API, embedded widgets, or used as part of a larger AI workflow through our assistant or agent layer.

Tell Us About Your AI Needs

Agent Frameworks

AutoGPT, LangGraph, CrewAI, MetaGPT

Orchestration

LangChain, LlamaIndex, Semantic Kernel

LLMs:

OpenAI GPT-4, Claude, Mistral, Groq, LLaMA

Memory Systems:

Pinecone, Redis, Weaviate, Qdrant

Tooling:

Zapier, web scraping, APIs, CRMs, databases

Key Features

Context-aware Intelligence

Our models factor in more than just product views. They understand textual intent, user behavior patterns, and even external context to generate smarter suggestions.

Real-time Adaptation

Recommendations update dynamically as user behavior shifts, providing timely, relevant suggestions every time.

API First Architecture

Easily integrate recommendations into your app, website, or CRM using a developer-friendly API.

Flexible Data Inputs

Use product metadata, user profiles, reviews, search queries, clickstreams, or session history—our models handle structured and unstructured inputs.

Customizable Logic

Control the balance between popularity, personalization, and diversity based on your goals—whether it’s revenue, engagement, or discovery.

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.

Get a research stack you don't have to babysit.

Talk to the team that built it. We'll walk you through your data flow end-to-end.