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AI startup Steerlab secures €1.7M to help presales teams respond faster

Steerlab founders
Picture credits: Steerlab

Steerlab, a Paris-based AI startup transforming the presales landscape, has raised €1.7 million in pre-seed funding led by Nordic early-stage investor Dreamcraft VC, which backed Kvantify and Flawless, with significant contributions from Heartfelt_, a Berlin-based early-stage firm launched by the managers of APX, AI specialist VC Lumière AI Ventures, along with more than 20 hand-picked angel investors from the US and Europe. 

These angels include founders, Sales Leaders, General Managers, and operators from top firms such as AWS, Cloudflare, Databricks, Datadome, and many others. The company also secured investment from Station F, the world’s largest startup hub run by Xavier Niel, after being recognised as one of the top startups in its most selective program.

Growth plans 

The investment will strengthen its strategy to build an AI platform that automates responses to Requests For Proposals (RFPs) and security questionnaires. This platform will help presales and security teams enhance their efficiency, automate 80% of the time spent on responses, and maximise their success in winning more deals.

In addition, Steerlab will expand its core team by attracting top engineering talent and scaling its sales operations, aiming to double down on sales acquisition with well-known tech companies in the US and Europe, maintaining a global approach from day one.

“Right from the start, we have been impressed by founders Rami Iguerwane and Othmane Hamzaoui and their ambition to solve the critical inefficiencies in responding to tenders, a pain they have experienced firsthand. They iterate rapidly based on market feedback, ensuring their AI platform meets customer needs effectively and we are excited to support a team so dedicated to using GenAI technologies to solve a concrete pain point in the B2B Sales process,” said Mathilde Lyet, Investment Manager at Dreamcraft Ventures

How was the idea born?

Steerlab was founded in 2023 in Paris by Rami Iguerwane and Othmane Hamzaoui. The founders met through their previous jobs, where they experienced firsthand the difficulties and inefficiencies involved in responding to RFPs and vendor questionnaires, understanding how excessively time-consuming and cumbersome these tasks can be.

Automates workflows 

Companies often spend thousands of hours annually on these processes without guaranteed success. Steerlab’s solution tackles this inefficiency by fully automating the workflow, from managing the content library and generating responses to assigning reviewers and providing insights. This way, the platform ensures everything operates on autopilot and boosts the chances of winning deals.

Steerlab is now revolutionising the presales landscape by transforming old manual processes into fully automated, intelligent workflows that significantly boost efficiency and maximise success in winning more deals.

The company leverages fine-tuned language models and Multi-Modal agentic AI systems to automate and enhance the response process for RFPs and security questionnaires. The company’s mission is to empower presales teams in B2B software companies by helping them create high-quality, winning proposals efficiently and providing actionable insights that enhance their chances of securing more deals. 

By taking care of all the busy work, Steerlab allows teams to focus on the human interactions necessary to close the deal.

“We’re glad to have won such renowned investors who back our mission. We’re not just building another AI co-pilot for RFPs, our mission is to rethink the end-to-end response workflow and help our customers focus on what really matters: Winning more deals” said Rami, CEO of Steerlab. “This funding will help us execute our vision of making Steerlab the worldwide leader in our space. To achieve this, we are doubling down on the international strategy we have pursued from day one. This is reflected in our customer base, our international investors, and our multicultural team.”

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