
Clientell
Offers a no-code Machine Learning platform to analyze consumer data and predict behavior.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | $2.5m | Seed | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Clientell operates as a business-to-business software-as-a-service provider, offering a platform designed to enhance sales forecasting and pipeline management through the application of artificial intelligence. The company was co-founded by Saqib Dareshani and Adam Asar, who serve as the CEO and CTO, respectively. Both founders bring a solid background in data and technology to the venture; Dareshani previously worked in data and analytics at Coca-Cola, while Asar's experience includes roles at major technology and financial firms such as Microsoft, Oracle, and the London Stock Exchange.
The core of Clientell's offering is a predictive intelligence platform that integrates with existing Customer Relationship Management (CRM) systems like Salesforce and HubSpot. The software analyzes historical sales data to identify patterns and provides deal-level predictions, aiming to deliver more accurate sales forecasts. Its system flags at-risk deals, suggests actions for sales representatives to improve their chances of closing, and provides insights into the overall health of the sales pipeline. This functionality is intended to help sales teams prioritize their efforts and allows sales leaders to have a more reliable view of future revenue.
The business targets companies with established sales teams, particularly those in the technology and software sectors. By automating the analysis of sales data, Clientell aims to solve common issues such as inaccurate forecasting, wasted sales efforts on low-potential leads, and a lack of visibility into pipeline health. The company generates revenue through a subscription-based model for access to its AI-powered platform.
Keywords: sales forecasting, pipeline management, predictive intelligence, B2B SaaS, revenue intelligence, sales analytics, CRM integration, deal prediction, sales technology, AI-powered sales