Businesses that want a modern business phone system using their current phones
Calling made modern. Your business number. Your employees' phones. Our amazing features. A dial menu spoken by our voice actors. Callers press numbers to make purchases, hear MP3s, connect to specific staff, and more. Make and answer calls using your number on multiple phones without the caller ever knowing. Employees hear secret in-house menus, transfer calls, and send voicemails to their email, all from their dialpad. These business features require no new software or hardware. Your dialpad come to life. Porting your business or personal number at the press of a button. Select from our menu of modern voice features for your business or personal line. We'll activate these features on your current phone for you. No work (or learning) required from you. We'll be here to transform your number whenever your desires change.
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Stigg | SaaS Monetization and Entitlements API
For developers in need of a tool to launch pricing plans faster and build better buying experiences
A monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
The EpiDoc Collaborative is developing specifications and tools for standards-based, digital publication and interchange of scholarly and educational editions of documentary and literary texts like inscriptions and papyri.
The link below will take you to the EpiDoc home page on this site.
Enrich and query corpora in the TEI-XML vocabulary. CorpusReader manage very large corpora and corpora containing milestone annotation. It provides tools for enriching corpora with output of linguistic parsers, and for extracting quantitative information