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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Bluepear is an AI-powered brand and affiliate monitoring platform that helps marketing teams protect their brand in paid search. It monitors branded search queries 24/7 across all geographies, device types, and search engines (Google, Bing, Yahoo!, Yandex) to detect unauthorized keyword bidding, ad hijacking, coupon code abuse, and trademark violations.
The platform's uncloaking tool reveals actual landing pages and redirect chains behind cloaked affiliate links, capturing screenshots and ad data as evidence. All findings are centralized in one dashboard with instant alerts via Slack, Telegram, or email, and structured compliance reports for each incident.
It serves PPC teams, affiliate managers, and compliance teams in e-commerce, travel, pharma, health and beauty, marketing agencies, and IT/SaaS. Key features include brand bidding protection, competitor monitoring, progress status tracking, policy-based filtering, and global coverage down to city level.
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Audiense
Identify & understand any audience, no matter how specific/unique it is. Create reports using filter options such as user profiles, affinities, demographics & job roles, creating highly personalised audience segments. Make better marketing decisions, adapt your targeting, improve relevancy & drive high-performance campaigns at scale.
WHAT ARE WE TRYING TO SOLVE?
- Time-consuming, static & expensive traditional consumer research
- Social data to become a part of the strategy
- Brand strategy & personalisation is very tactical at the expense of performance marketing
WHAT MAKES US UNIQUE
Audiense segments audiences by interconnections between people (“Who knows who”). Thanks to how those connections are created between consumers (“How they know each other”), we can infer their shared interests & affinities. Our unique social consumer segmentation provides a great data foundation to Persona development, understanding the audience s that matter most or find new audience opps.
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