WHY WE INVESTED: V7 LABS
THE AI SURGE: OPPORTUNITY MEETS A BOTTLENECK
Artificial Intelligence is transforming every sector, and its success relies heavily on two critical elements: high-quality data and efficient work automation. In fields like healthcare, logistics, and financial services, AI adoption is accelerating, but companies face a persistent bottleneck—data annotation and workflow automation.
This surge in AI deployment across industries is pushing businesses to automate faster than ever, tackling the struggle of accurately and efficiently labeling massive volumes of data while automating their workflows. Whether it's healthcare providers analyzing medical scans or insurance companies automating claims processing, the traditional methods of data annotation and workflow automation are too slow, expensive, and prone to human error.
EXISTING SOLUTIONS MISSING THE MARK
Existing solutions fall short to meet the growing demands of data annotation and workflow automation, as their solution would often focus on volume, not precision, and rely on outdated, manual processes that can't scale. This lacks the flexibility to handle the complex demands of multiple industries and AI-driven sectors, offering rigid, static tools that don’t adapt. By failing to address both simple and advanced data annotation and workflow automation needs, they leave businesses with gaps in performance, precision, and scalability, making them ill-suited for today’s fast-paced, automation-driven landscape.
V7 LABS: THE SOLUTION THAT BREAKS THROUGH
Enter V7 Labs. They are disrupting the landscape with a purpose-built, AI-driven platform that revolutionizes data annotation and workflow automation. Their flagship products, V7 Darwin for advanced, complex data annotation and V7 Go for streamlined workflow automation through AI agents, tackle the pain points head-on with an approach that is both scalable and user-friendly.
V7 Darwin is a game-changer in advanced data annotation, equipped with unique features that give it a clear advantage over the competition. With AI-assisted labeling, automatic segmentation, and powerful programmatic workflows, it turns massive, complex datasets into precise, high-quality training data at great speed, supporting everything from images to videos and 3D models.
Users can train custom machine learning models directly on the platform. V7 Darwin integrates with machine learning frameworks and provides pre-built templates and workflows for common tasks. It also supports automated training pipelines to streamline model development
On the other hand, V7 Go makes workflow automation efficient and seamless. With AI-driven data extraction that eliminates manual entry, and LLM-powered smart suggestions that streamline labeling, it’s built for speed and efficiency. Its automatic indexing instantly organizes data, while seamless integration means businesses can adopt it with zero friction. V7 Go empowers companies to automate faster, smarter, and more effectively.
Tabular index above is powered by index knowledge that allows the user to prompt the platform to extract data according to specific requirements
What we found notable about their approach is the strong synergy between their two products. V7 Go simplifies the initial stages of AI automation, providing an easy entry point for users, while V7 Darwin tackles more advanced, complex use cases requiring high-level machine learning expertise. This enables a tiered approach where businesses can start automating easily with Go, then enhance model performance using Darwin’s advanced features.
We’re seeing a growing shift in how financial services leverage AI to streamline operations and enhance accuracy. V7 Go is driving this transformation by automating tedious processes across the financial services sector. Examples in insurance include simplifying underwriting, claims processing, and car insurance assessments. While in finance they accelerate document analysis for 10-K and 10-Q reports, compliance checks, financial statements, and transfer pricing.
One firm that has experienced this transformation firsthand is a specialized asset management firm. Facing a 3x increase in information memorandum (CIM) processing, they anticipated hiring more analysts—until they turned to V7 Go. With LLM-powered workflows, V7 Go processed financial statements 21x faster while also increasing accuracy by 54% and significantly reducing labor costs.
BACKING VISIONARY FOUNDERS
The visionary team behind V7 Labs are not newcomers to AI—they saw the future of data annotation before most. Early on, they predicted that training data would be AI’s biggest bottleneck, and they’ve been solving it ever since. Founders Alberto and Simon are seasoned innovators who first made waves with Aipoly, their groundbreaking AI that helped the visually impaired "see" through real-time object recognition. Fast forward to today, and their combined talents is driving V7’s success. Their passion for solving complex AI challenges and their deep expertise in computer vision gives them a strong founder-market fit. They don’t just understand the problem—they’ve lived it and built the solution the industry needs.
AI'S BACKBONE FOR SCALABLE GROWTH
We believe V7 Labs is not just riding the wave of AI—it's building the infrastructure that will allow AI to flourish in industries where accuracy and scalability are paramount. With a laser focus on quality, a visionary leadership team, proven traction, and a vast market opportunity, V7 Labs is poised for significant growth.
Don’t take it just from us, V7’s client feedback is stellar—customers (including Sony, Miele, Roche, Boston Scientific, Star Mountain Capital, and more) are not just adopting their solutions; they view them as essential. The company has consistently achieved revenue targets and operates with lean efficiency, making them a compelling growth story.
Their innovative approach to solving the data annotation bottleneck will unlock faster, smarter AI adoption and automation across the board, making V7 Labs a cornerstone of the future AI ecosystem. This is why we invested in V7 Labs.
If you'd like to learn more about AFG’s investment in V7 Labs, please feel free to reach out to Ivan Ong (Partner at AFG Partners).