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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Conspecta is an innovative, web-based research platform that integrates various functionalities including microscopy image analysis, flow cytometry, molecular biology, sample tracking, and the creation of publication-ready figures into a single cohesive workspace. This platform effectively eliminates the need for the disparate tools that many laboratories typically piece together, ensuring that data, samples, and results remain interconnected throughout the entire process from experimentation to final figure generation, all while providing comprehensive traceability. It is particularly tailored for biology labs that emphasize imaging and flow cytometry, as well as for new principal investigators and early-stage biotechnology companies. Unlike platforms that cater to regulated or clinical environments, Conspecta remains research-focused and accessible, offering free access for individual users while providing paid plans for teams that include shared workspaces to foster collaboration. With its user-friendly interface and robust features, Conspecta empowers researchers to streamline their workflows and enhance productivity.

Description

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ChatGPT Yes 
Claude Yes 
Claude Desktop Yes 
Claude Science Yes 
Cursor Yes 
Gemini for Science Yes 
Microsoft Copilot Studio Yes 
Microsoft Excel Yes 
SnapGene Yes 

Integrations

ChatGPT No 
Claude No 
Claude Desktop No 
Claude Science No 
Cursor No 
Gemini for Science No 
Microsoft Copilot Studio No 
Microsoft Excel No 
SnapGene No 

Pricing Details

$0
Free for you and one collaborator, every workspace included. Paid plans open it to the whole lab and add additional storage, AI object detection, external integrations via API, and bring-your-own AI assistant integration.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Conspecta

Founded

2025

Country

United States

Website

conspecta.bio

Vendor Details

Company Name

Iris.ai

Founded

2015

Country

Norway

Website

iris.ai/

Product Features

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

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