CallHub is a digital organizing platform empowering political campaigns, nonprofits, advocacy groups, unions, and businesses with scalable outreach via calling, texting, email, and automation.
The platform offers Predictive Dialer for high-volume campaigns, Power Dialer for personalized calls, and Auto Dialer. AI-powered Smart Insights categorize call sentiments. Dynamic Caller ID, Spam Shield, and SHAKEN/STIR compliance maximize answer rates.
Text capabilities include Peer-to-Peer Texting, Text Broadcasts, and Text-to-Join with SMS/MMS support, URL tracking, and automated responses.
Workflows automation enables multi-channel campaigns. The mobile app allows volunteers join campaigns from smartphones. CRM integrations with NationBuilder, NGP VAN, Salesforce, and Blackbaud ensure seamless sync.
CallHub is SOC 2, ISO 27001, GDPR, and TCPA compliant. Trusted by 200,000+ campaigns, it has facilitated 1 billion calls and 750 million texts.
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LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network.
Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output.
Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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