IGOR – Your Personal Lab Assistant

igorlabapp.com

IGOR is a secure, cloud-hosted LIMS and Electronic Lab Notebook (ELN) system created by scientists with extensive wet-lab backgrounds in both academic and industrial settings. It centralizes research data in a single, searchable repository to support efficient workflows, maintain data integrity, and improve access to information across the lab environment. Positioned within the Laboratory Software space, it combines LIMS functionality with ELN capabilities to manage experimental records and associated data.

The platform includes an electronic lab notebook with integrated digital signatures to support review and approval processes, along with tools for streamlined documentation, file and SOP management, and configurable templates. An inventory module records reagents, samples, consumables, and related materials, capturing usage in experiments, sample lineage, relationships among samples, and storage locations. A mobile application enables scientists to record observations at the bench or digitize handwritten notes and link them directly to ELN entries. IGOR’s workspace is designed for rapid deployment and can be adapted to the specific workflows of each laboratory, while custom user roles and fine-grained permissions enable controlled data sharing and collaboration across internal teams and external partners.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch IGOR – Your Personal Lab Assistant mention score
POST /v3/content_analysis/summary
{
  "keyword": "IGOR – Your Personal Lab Assistant",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}