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Koala uses AI to help sales teams prioritize leads, qualify accounts, and maintain engagement.
Koala was a powerful AI-driven platform designed to help sales teams scale their outreach and close more deals. It focused on identifying high-intent leads, qualifying accounts, and personalizing communication to improve engagement from initial contact to final close.
Koala utilized agentic AI to process both first-party and third-party data signals. It aimed to cut through the noise by unifying disparate data sources into a single platform, providing a clear view of account fit and buyer intent. This allowed sales representatives to prioritize their efforts on the most promising opportunities.
Koala's feature set was built to streamline the sales process:
Koala was ideal for Sales Development Representatives (SDRs), Account Executives (AEs), Sales Managers, Revenue Operations professionals, and Marketing teams looking to enhance their outbound sales strategies, improve lead quality, and increase conversion rates. It was particularly beneficial for B2B SaaS companies aiming to build a repeatable and scalable sales pipeline.
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Leverages agentic AI to analyze signals, qualify accounts, and maintain engagement throughout the sales cycle.
Unifies over 30 first-party and third-party signal sources with data from CDPs, warehouses, and product analytics.
Helps identify and encode winning sales plays based on performance data, ensuring consistent and effective outreach.
Provides AI-driven custom research on leads, enabling reps to develop strong points of view and compelling outreach.
Offers direct email sending capabilities integrated with major Sales Engagement Platforms (SEPs).