Welcome to our weekly edition of Seed Watch- a segment of Market Insyte Digest focused on sharing some of the latest and most intriguing Pre-seed & Seed funding news grabbing the headlines in the startup world. Find out the top 3 deals from this week that caught our eye.
Startup Name: Adaption Labs
Industry: Artificial Intelligence
Region: $United States
Amount (USD): $50 million
The problem it is solving: Adaption Labs is tackling the high cost, inefficiency, and rigidity of today’s AI systems. Most leading models require massive computing power, expensive retraining, fine-tuning, and fragile prompt engineering to adapt to new tasks. The startup aims to build AI systems that can learn continuously, adapt in real time at inference, and operate efficiently without relying on ever-larger models or costly retraining cycles.
What the Funds Will Be Spent On: Hiring additional AI researchers and engineers. Advancing research into adaptive, compute-efficient AI architectures. Developing gradient-free and inference-time learning systems. Designing new user interfaces for AI beyond traditional chat-based interactions.
Startup Name: Poetiq
Industry: Artificial Intelligence
Region: United States
Amount (USD): $45.8 million
The problem it is solving: Poetiq addresses the limitations of frontier large language models when tackling complex, real-world business problems. While leading LLMs struggle with deep reasoning, adaptability, and cost efficiency at scale, Poetiq’s AI meta-system enhances their learning and reasoning capabilities through recursive self-improvement, enabling more reliable and scalable problem-solving.
What the Funds Will Be Spent On: Further development of Poetiq’s AI meta-system. Expanding integrations with frontier LLMs such as GPT, Claude, Gemini, and LLaMA. Scaling the team to support product growth and enterprise adoption.
Startup Name: Phylo Inc.
Industry: Biotechnology
Region: United States
Amount (USD): $13.5 million
The problem it is solving: Phylo addresses the fragmentation of biology research software. Biologists rely on dozens of incompatible tools and databases, forcing manual data reformatting, context switching, and reliance on bioinformatics specialists, which slows down research and increases error risk.
What the Funds Will Be Spent On: Scaling and commercialising Biomni Lab, its integrated biology environment. Expanding AI-driven automation across additional biology tools and databases. Supporting enterprise adoption with enhanced security, custom AI agents, and infrastructure.