MARK Labs
Ai-powered impact analytics platform that enables its users to measure and optimize their impact.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
| investor | €0.0 | round | |
* | $100k | 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
Related Content
Mark Labs operates in the intersection of artificial intelligence and sustainability, providing a software platform designed to improve social, financial, and environmental outcomes. The company serves institutional investors, asset managers, and other stakeholders who are focused on responsible investing and stewardship. Mark Labs operates in the global financial and sustainability markets, offering tools that streamline data management and engagement processes.
The business model revolves around a subscription-based service where clients pay for access to the platform's comprehensive data sets and engagement management tools. The platform integrates seamlessly with existing CRM systems, allowing users to track and manage thousands of ongoing engagements. The company leverages a combination of natural and artificial intelligence to continuously update and maintain its proprietary database, which is sourced from stewardship reports, regulatory filings, and media reports.
Mark Labs makes money by providing these data and engagement management services, which help clients identify new risks and opportunities, track corporate engagements, and generate detailed reports. The platform also features powerful data visualization and reporting capabilities, enabling users to auto-generate and export stewardship and engagement reports.
Keywords: AI-driven, sustainability, stewardship, engagement intelligence, institutional investors, asset managers, data visualization, CRM integration, responsible investing, risk management.