Axiom Tx utilizes a computational platform to develop therapies for diseases that are currently considered undruggable. By applying advanced algorithms and data analysis, the company aims to enhance drug discovery processes and improve treatment options for patients with limited therapeutic alternatives.

Bruin is an online platform that enables data analysts to transform and share data using SQL and Python without the need for custom coding, while ensuring data quality through built-in checks and monitoring. It simplifies the creation of reliable data pipelines by automating data ingestion, transformation, and lineage tracking across various databases.

This company provides the Haystack open source framework and enterprise platform for building custom AI solutions powered by LLMs. They specialize in high-impact applications such as Retrieval Augmented Generation (RAG), AI Agents, and Intelligent Document Processing (IDP). Their technology enables organizations to deploy trusted, sovereign AI solutions with control over data, models, and workflows.

Electric provides a Postgres sync engine that enables real-time synchronization of specific data subsets into local applications and services, eliminating the need for traditional data fetching and caching methods. This technology addresses issues of data availability and stale information by ensuring that users have immediate access to up-to-date data, even in offline scenarios.

This startup offers cloud storage optimized for AI and data workloads, providing S3-compatible object storage for large datasets. Their platform aims to improve performance and reduce costs associated with storing and accessing data for AI applications.

Emm is developing a bio-wearable menstrual cup equipped with integrated sensors to automatically track key metrics such as volume, flow rate, and cycle length. This technology provides users with personalized insights and alerts regarding their menstrual health, enabling informed discussions with healthcare providers.

Hathora provides a cloud platform that aggregates CPU and GPU resources for low‑latency, real‑time workloads such as game servers, AI inference, and build farms. Users submit workloads via a unified API and pay with a token‑in/token‑out model that charges for actual compute usage, while the service handles Docker‑native orchestration, autoscaling, and edge deployment with built‑in load balancing and data‑sovereignty controls.

Hype is a marketing and payments platform that provides entrepreneurs with tools like link-in-bio websites, QR codes, and SMS campaigns to convert their social media followers into paying customers. By streamlining lead generation and payment processing, Hype enables businesses to efficiently build and monetize their online presence.

iLoF utilizes a cloud-based platform that employs photonics and AI to create a digital library of optical fingerprints for non-invasive patient screening and stratification in clinical trials. This technology reduces screening time by 70% and costs by 40%, while providing a more qualified pool of candidates for drug development.

Instill AI provides an all-in-one platform for building, deploying, and scaling agentic AI products quickly. It transforms various document types into proactive AI teammates that automate complex workflows and decision-making processes. The platform emphasizes full context control, custom agent creation, and enterprise-grade data privacy for production environments.

Lodestar delivers orbital defense as a service for high-value US and allied space assets. The company develops fully-autonomous AI fighter pilots, named Mithril, to power in-orbit bodyguard satellites. These satellites provide a dedicated first line of defense against orbital aggression through counter-space capabilities and on-board autonomy.

NannyML is an open-source Python library that estimates the performance of machine learning models in production without requiring access to target data, utilizing techniques like Confidence-Based Performance Estimation and Direct Loss Estimation. It addresses the issue of model degradation by detecting data drift and linking performance changes to specific features, enabling data scientists to maintain model accuracy and business value effectively.

Neurolabs provides synthetic computer vision solutions that utilize advanced algorithms to analyze image data for accurate object identification and classification in retail environments. By replacing expensive real-world data with synthetic alternatives, Neurolabs enables businesses to automate inventory management and streamline operations, achieving faster audits and improved resource allocation.

SemiQon provides silicon quantum‑dot qubits fabricated with standard 28 nm CMOS processes, combined with cryogenic‑CMOS transistors that operate below 4 K. The integrated platform places control logic (DACs, multiplexers, amplifiers) on the same chip, reducing interconnect complexity and power dissipation for scalable quantum processors. It is offered as ready‑to‑use quantum‑dot devices and cryo‑optimized ICs compatible with existing dilution‑refrigerator setups.

Unify AI provides a platform for developers to manage and assign tasks to various Large Language Models (LLMs). It abstracts the complexity of integrating different AI APIs, allowing users to focus on task execution rather than model selection. The service aims to simplify the deployment and management of AI workflows across different models.

WNSTN provides an AI-driven platform that integrates with online brokerages to deliver personalized portfolio management and real-time data analysis for traders and investors. By offering tailored investment ideas and accurate insights, WNSTN enhances decision-making and optimizes portfolio performance across various asset classes.

xorq Labs offers an open-source computational framework that simplifies the development and deployment of machine learning pipelines for Python developers. Built on Ibis and Apache DataFusion, xorq enables the creation of multi-engine ML pipelines with intelligent data caching and seamless deployment across various platforms. This allows developers to build, run, and serve ML pipelines more efficiently, from local environments to production.

Zama develops open-source solutions utilizing Fully Homomorphic Encryption (FHE) to enable secure processing of encrypted data for blockchain and AI applications. This technology allows data scientists to run models on sensitive information without exposing the underlying data, ensuring privacy while maintaining functionality.