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What is Reflektive?

Consistently improving your workforce and business practices is essential for long-term success. During times of change, it becomes increasingly important to empower teams to perform at their best. Users of Reflektive witness concrete business results stemming from aligned goals, increased engagement, and a commitment to continuous improvement. This platform supports accountability and fosters meaningful, ongoing conversations through a robust performance management system that integrates effortlessly with email, chat, and mobile applications. Elevate employee morale by publicly recognizing achievements and assess the impact of these acknowledgments through surveys, benchmarks, and natural language processing, which provides insights into sentiment and guides informed decision-making. Gain exceptional visibility into performance trends and metrics via HRIS integrations and pre-built dashboards, or customize your analytics to meet specific requirements. By cultivating a culture that celebrates recognition and carefully analyzing its outcomes, organizations can significantly enhance performance with more precise data. This approach ultimately cultivates a more engaged and productive workforce, well-equipped to tackle forthcoming challenges, while also promoting an environment of trust and collaboration among team members.

What is Instill Core?

Instill Core is an all-encompassing AI infrastructure platform that adeptly manages data, model, and pipeline orchestration, ultimately streamlining the creation of AI-driven applications. Users have the flexibility to engage with it via Instill Cloud or choose to self-host by utilizing the instill-core repository available on GitHub. Key features of Instill Core include: Instill VDP: A versatile data pipeline solution that effectively tackles the challenges of ETL for unstructured data, facilitating efficient pipeline orchestration. Instill Model: An MLOps/LLMOps platform designed to ensure seamless model serving, fine-tuning, and ongoing monitoring, thus optimizing performance for unstructured data ETL. Instill Artifact: A tool that enhances data orchestration, allowing for a unified representation of unstructured data. By simplifying the development and management of complex AI workflows, Instill Core becomes an indispensable asset for developers and data scientists looking to harness AI capabilities. This solution not only aids users in innovating but also enhances the implementation of AI systems, paving the way for more advanced technological advancements. Moreover, as AI continues to evolve, Instill Core is poised to adapt alongside emerging trends and demands in the field.

Media

Media

No images available

Integrations Supported

ADP Workforce Now
BambooHR
Employee Cycle
Gmail
Knoetic
Microsoft Outlook
Microsoft Teams
OAuth
Okta
One Model
OneLogin
Slack
Workday HCM
Xoxoday

Integrations Supported

API Availability

API Availability

Pricing Information

$7500 per month

Pricing Information

$19/month/user
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS
Mac
On-Prem
Linux

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Reflektive

Date Founded

2013

Company Location

United States

Company Website

www.reflektive.com

Company Facts

Organization Name

Instill AI

Date Founded

2020

Company Location

United Kingdom

Company Website

www.instill.tech

Categories and Features

360 Degree Feedback

Feedback / Surveys

Employee Engagement

Benchmarking
Cultural Alignment
Employee Awards
Employee Recognition
Feedback Management
Goal Management
Performance Management
Pulse Surveys

Performance Management

360 Degree Feedback
On-going Performance Tracking

Talent Management

Performance Appraisal

Categories and Features

AI Fine-Tuning

Not specified

AI Infrastructure

Not specified

AI Orchestration

Not specified

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