Our monthly letter of all the latest HrFlow.ai product announcements.
We've spent the last summer shipping all the features that we have developed over the past few months to nail every single aspect of the product.
In a nutshell this letter is covering topics on:
- Our new Platform, Website, and Branding
- How we're getting more API-centric
- How we're expanding the playground and allowing building new use-cases
- How we're enhancing the ML-first approach for HR data challenges
- Our New Marketplace for integrations
#0 New Product webinar
From now on, we'll be hosting a monthly product webinar to share our latest product updates and achievements. We'll be very happy to have you on board.
#1 New Platform, Website, and Branding
Riminder.net is becoming HrFlow.ai, a name that truly expresses our value and raison d'être.
HrFlow.ai stands for how we're helping our customers streamline their HR data workflows with AI.
#2 Getting more API-centric
To give you full control and flexibility in designing your HR data journeys, we broke down our original API into 5 separate AI Layers.
Each layer represents a processing unit of one fully integrated suite:
- Parsing API: Automatically turn your HR documents into structured data
- Revealing API: Autocomplete soft-skills and missing hard-skill for a given «Profile» or a «Job».
- Searching API: The first semantic (neural) search engine that really understands HR data.
- Scoring API: The Netflix recommendation engine to uncover relevant «Profiles» or «Jobs».
- Reasoning API: Highlight the evidence behind a matching or a recommendation from both the «Profile» and «Job» perspectives.
#3 Extending Playground
After announcing the «Profile API» and «Job API» 2 years ago, we're very glad today to announce the «Document API». It allows you to apply HrFlow AI layers to any type of HR documents.
#4 Enhancing the ML-first approach
Over the last year, we have been very pleased to see ramping up the number of Data Scientists working on HR data challenges. We see this as a unique opportunity to create a community that share common goals and concerns.
On our side, we're happy to announce the Embedding API to contribute to this community and lift the load on research teams. Data scientists can leverage this feature to focus on building fast highly accurate models with just few data samples, instead of spending hours on modeling, features engineering and preprocessing,
#5 New Marketplace
We have launched a new marketplace of connectors:
- Sources: integrations catalog for profiles collections and databases
- Boards: integrations catalog for jobs collections and databases
- Destinations: catalog of systems of records and target tools
If you need any help or want to share your feedbacks, we’d love to hear your thoughts!
Mouhidine SEIV - CEO @HrFlow.ai (ex: Riminder.net)