Octozi

About Octozi

Octozi develops large language models to automate data cleaning and regulatory submission workflows in the life sciences sector, significantly reducing the time required for these processes from months to minutes. By leveraging generative AI, Octozi addresses the inefficiencies and high costs associated with manual documentation and data analysis in clinical development.

```xml <problem> The life sciences industry faces significant challenges in data cleaning and regulatory submissions due to manual processes, leading to inefficiencies, high costs, and prolonged timelines. These manual workflows are prone to errors and can cause substantial delays in clinical development. </problem> <solution> Octozi offers a platform leveraging custom-built large language models (LLMs) to automate data cleaning and regulatory submission workflows within the pharmaceutical and biotechnology sectors. By applying generative AI and advanced machine learning analytics, Octozi accelerates clinical development, reduces errors, and lowers costs. The platform is designed to handle the needs of biotech startups, large pharma companies, and contract research organizations (CROs) across Phase I-IV trials and various therapeutic areas. Octozi's solution ensures data remains secure and private, without sharing or distributing it to third parties. </solution> <features> - Custom-developed LLMs specifically tuned for clinical development and regulatory requirements - Real-time data cleaning using AI models with clinical and trial-specific context - Scalable and extensible platform suitable for biotech startups, large pharma, and CROs - Support for Phase I-IV trials across a broad range of therapeutic areas - Secure and private data handling, ensuring data is not shared with third parties </features> <target_audience> Octozi's primary customers include pharmaceutical companies, biotechnology firms, and contract research organizations (CROs) involved in clinical development. </target_audience> ```

What does Octozi do?

Octozi develops large language models to automate data cleaning and regulatory submission workflows in the life sciences sector, significantly reducing the time required for these processes from months to minutes. By leveraging generative AI, Octozi addresses the inefficiencies and high costs associated with manual documentation and data analysis in clinical development.

Where is Octozi located?

Octozi is based in Hoboken, United States.

When was Octozi founded?

Octozi was founded in 2023.

How much funding has Octozi raised?

Octozi has raised 150000.

Who founded Octozi?

Octozi was founded by Amit Patel.

  • Amit Patel - Co-Founder/CEO
Location
Hoboken, United States
Founded
2023
Funding
150000
Employees
6 employees
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Octozi

Score: 87/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Octozi develops large language models to automate data cleaning and regulatory submission workflows in the life sciences sector, significantly reducing the time required for these processes from months to minutes. By leveraging generative AI, Octozi addresses the inefficiencies and high costs associated with manual documentation and data analysis in clinical development.

octozi.com100+
cb
Crunchbase
Founded 2023Hoboken, United States

Funding

$

Estimated Funding

$150K+

Team (5+)

Amit Patel

Co-Founder/CEO

Company Description

Problem

The life sciences industry faces significant challenges in data cleaning and regulatory submissions due to manual processes, leading to inefficiencies, high costs, and prolonged timelines. These manual workflows are prone to errors and can cause substantial delays in clinical development.

Solution

Octozi offers a platform leveraging custom-built large language models (LLMs) to automate data cleaning and regulatory submission workflows within the pharmaceutical and biotechnology sectors. By applying generative AI and advanced machine learning analytics, Octozi accelerates clinical development, reduces errors, and lowers costs. The platform is designed to handle the needs of biotech startups, large pharma companies, and contract research organizations (CROs) across Phase I-IV trials and various therapeutic areas. Octozi's solution ensures data remains secure and private, without sharing or distributing it to third parties.

Features

Custom-developed LLMs specifically tuned for clinical development and regulatory requirements

Real-time data cleaning using AI models with clinical and trial-specific context

Scalable and extensible platform suitable for biotech startups, large pharma, and CROs

Support for Phase I-IV trials across a broad range of therapeutic areas

Secure and private data handling, ensuring data is not shared with third parties

Target Audience

Octozi's primary customers include pharmaceutical companies, biotechnology firms, and contract research organizations (CROs) involved in clinical development.

Octozi - Funding: $100K+ | StartupSeeker