Problem: Sales misses buying signals. Solution: AI agent recognizes individual signals (web, social media, SEC, calls) and automates personalized 1:1 outreach. Result: more relevant meetings, less effort.

Intent Data, Buyer Signals & Visitor Identification, Sales Prospecting & Outreach Platforms, AI S...
Tiga AI is a generative AI sales platform that solves the major problem of inefficient cold calling. By analyzing SEC filings, social media, and web signals, Tiga identifies buying intent in real time. The software automates the creation of highly personalized messages via email and LinkedIn, demonstrably leading to up to 37% more appointments. It's the ideal tool for teams that want to combine quality with quantity. The core problem: Noise instead of relevance. In today's B2B sales, companies face a major challenge: The flood of automated but impersonal emails causes potential customers to tune out. Traditional tools focus on increasing the volume of emails sent, neglecting relevance in the process. Salespeople spend hours researching to find a point of connection, which severely limits scalability. The solution: Intelligent signal recognition. Tiga addresses this very issue. Instead of simply sending messages, the software acts as an autonomous AI agent that scours the internet for specific "buying signals." This includes:
Based on the signals found, Tiga creates individual messages that go far beyond standard placeholders. The AI understands the context of the target company and formulates messages that sound like they were written by humans.
Tiga's effectiveness can be seen in concrete case studies. Companies like Endear were able to increase their appointment rate by 37%, while the Shift Group saw growth of 30% by using the platform. The main advantage lies in the massive time savings in research, allowing sales teams to focus on closing the deal.
While platforms like Outreach or Salesloft are powerful sequencing tools, they often lack the deep, signal-based intelligence of Tiga. Apollo offers a huge database, but Tiga differentiates itself through its ability to transform unstructured data (such as call transcripts) into solid sales arguments.
Tiga uses a personalized pricing model ("Contact for Pricing"). This is typical for enterprise solutions that are tailored to the specific needs and volume of the customer. Given the $2 million funding round in 2025, the company is investing heavily in the further development of its agent technology, securing long-term value for users.
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