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.

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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

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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.

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Real-time Adaptation

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

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API First Architecture

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

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Flexible Data Inputs

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

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Customizable Logic

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

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What they say about us

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Streamlined my development process seamlessly

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John Carter
Back-End developer
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Streamlined my development process seamlessly

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Sophie Moore
Product Lead
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Streamlined my development process seamlessly

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Matt Cannon
Front-End Developer
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Streamlined my development process seamlessly

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Kathie Corl
VP of Development

Frequently Asked Questions

Frequently asked questions for enterprise search

01

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.

02

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.

03

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.

04

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.

05

What is the difference between residential, datacenter, and mobile proxies?

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.

07

What is the ingestion engine built on? 

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.

08

What formats and protocols are supported for ingestion?

We support Kafka, REST, Parquet, GraphQL, JDBC, flat files, and streaming event logs. You can also ingest directly from our proxy-extracted data streams.

09

Can I use LLMs in my pipeline? 

Yes. Our architecture supports Retrieval-Augmented Generation (RAG), agentic workflows, and transformation agents using custom or embedded LLMs.

10

What programming languages are supported? 

You can connect Search.co to your stack via Python, Node.js, Go, .NET, Ruby, and more. We offer client libraries and REST/GraphQL APIs.

11

Is this suitable for real-time data? 

Absolutely. The pipeline is built for both batch and real-time processing with millisecond-latency for dashboards, alerts, or APIs.

12

Can I deploy on my own infrastructure? 

Yes. The ingestion engine is containerized and deployable on Kubernetes or Docker. For proxy routing, we handle the IP infrastructure on our end.

13

Is there bandwidth or request throttling? 

No. We offer plans with unlimited bandwidth and support high-throughput scraping across geographies and endpoints.

14

Does Search.co integrate with BI tools? 

Yes. You can pipe clean data into Looker, Tableau, Power BI, or any SQL-based BI tool via JDBC or GraphQL.

15

Can I use Search.co for SEO tracking and SERP scraping? 

Yes. You can monitor rankings, ads, featured snippets, and competitor content at scale using rotating residential or mobile proxies.

16

Is this good for brand monitoring or product scraping?

Yes. You can monitor counterfeit listings, reseller pricing, product reviews, and inventory across platforms—completely anonymously.

17

Does Search.co support RAG and retrieval for AI agents?

Yes. You can combine vector search with live ingestion to power agentic AI, personalized recommendations, and context-aware chat.

18

What industries do you serve?

We work with companies across SaaS, fintech, healthcare, e-commerce, legal, and media—basically any org that needs external data in real time.

19

Is the platform secure and compliant?

Yes. We follow best practices in data encryption, access control, and logging. Ingestion pipelines are deployable to HIPAA-, SOC 2-, or GDPR-compliant environments.

20

Will proxies leak my identity or IP?

No. All proxies are fully anonymized and support rotating headers, user agents, and advanced fingerprinting resistance.