konectar CRM
Seamless Customer Engagement Platform for Driving Effective
What it does
konectar CRM is built for life sciences teams, bringing HCP-centric data, engagement activities, insights, and team processes into one platform. Core Capabilities: HCP & KOL Relationship Management Omnichannel Engagement Tracking Medical Insights Management Contract & Document Management Sentiment & Belief Analysis Centralized Data Management Workflow Automation Customizable Processes Seamless Integrations Cross-Functional Collaboration Cross-Device Accessibility Analytics & Reporting
Capture KOL interactions, medical insights, contracts, engagement activities in one place with konectar CRM.
konectar CRM connects cross-functional teams with an omni-channel ecosystem to optimize collaboration and drive measurable business outcomes. Effectively record, monitor, and analyze healthcare professional (HCP) interactions to make data-driven decisions and maximize engagement. Capture and analyze KOL perceptions, feedback, and therapeutic impact to refine product offerings, enhance patient safety, and improve overall treatment outcomes. Define clear objectives, record and track KOL interactions, and measure outcomes across various programs. Optimize speaker selection and performance tracking with an integrated speaker evaluation framework in the CRM software. Monitor and track upcoming…from aissel.com
Does the same job
all alternatives →
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com