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Scalestack’s AI platform features
Startup Scalestack has raised US$1 million in its first round of funding. Investors included Founders Network, Flyer One Ventures and other funds. The company plans to use the funds to develop new products and attract customers.
Scalestack provides a comprehensive artificial intelligence-based data enrichment and prioritisation platform. The product targets the RevOps sector – commercial operations integrating sales, marketing and customer service to increase business revenue.
What Scalestack’s product represents
Modern sales tools focus primarily on increasing conversions and establishing communication with potential customers. However, the products on the market do not adequately address the targeting stage. As a result, this critical step remains underdeveloped. This leads to several other challenges. For example, B2B SaaS companies do not conduct their own research, leaving this stage to the customer. This approach reduces the entire chain’s efficiency and affects all parties’ productivity. Some SaaS providers try to enrich the data with their own team’s resources, but this approach is extremely costly for the company and creates maintenance difficulties.
Startup Scalestack does not sell data; instead, it:
- develops automated processes for internal and external flows;
- Creates a customised transaction for each customer, taking into account the key parameters of their ICP protocols.
- Uses the Scalestack platform to run and synchronise these processes within the client’s CRM.
This ensures the data is relevant and structured according to the company’s priorities. The information is then sent to the sales force using artificial intelligence tools.
Scalestack is actively pursuing new customers and strengthening partnerships with existing ones. For example, the startup announced the expansion of its relationship with MongoDB, with the parties signing a multi-year agreement. Scalestack is developing a data storage and consumption platform for this customer that integrates additional services. This will enable MongoDB specialists to regularly benchmark the technical capabilities of their applications against current market requirements. This allows them to deliver quality products that provide a positive user experience to their customers.
The platform autonomously determines the customer’s position in the sales funnel and their level of engagement. It can then identify which customers are ready for further interaction with the company and which require further nurturing. Artificial intelligence learns by pulling information from public resources such as Crunchbase and LinkedIn. It also extracts information from customer CRM data to improve outreach.