Deep Tech Startups
8,469 companies tagged Deep Tech, with their investors and founders.
TTP (formerly The Technology Partnership) is a technology and product development company that works on projects across deep tech, life sciences, and health tech for international clients and start-ups. Founded in 1987, it operates a campus-based team of over 550 people delivering product development and engineering work.
1 investor
TTP Group incubates and develops new technology products and businesses, working with clients across multiple market sectors and investing in early-stage technology companies. Based outside Cambridge, UK, it has created over 20 businesses spanning product development, life sciences automation, and defense R&D.
1 investor
Thomas Tull is an entrepreneur and investor who leads Tulco, a holding company that invests in early-stage technology companies across artificial intelligence, defense technology, and other sectors. Through various investment vehicles including the U.S. Innovative Technology Fund and Tull Investment Group, he identifies and finances technology-focused startups.
1 investor
The TUM Institute for LifeLong Learning offers advanced and continuing education degree programs for working professionals through the Technical University of Munich, focused on transferring academic research into practice and upskilling in areas such as management, leadership, and technology. It serves professionals in Germany and internationally.
1 investor
Tumi Robotics is a Peruvian company that builds robots and AI-based solutions to safely access confined spaces in underground and open-pit mining, inspect tunnels and pipelines, and perform underground and georeferenced surveying. It also operates aquatic robots for marine exploration, oceanographic measurement, and underwater inspections, serving mining, infrastructure, and water-management clients.
1 investor
Tunable develops real-time, multigas analysers that combine micro/nanotechnology with infrared spectroscopy to collect high-quality gas data for AI-driven applications. Its current uses include cutting emissions in the maritime industry and reducing fruit and vegetable food waste.
1 investor
TUNiB builds in-house small large language models (sLLM) and multi-persona chatbots, offering domain-specific model development and chatbot APIs. It also provides NLP APIs to detect AI-generated hate speech and protect private information on platforms.
1 investor
Tunoptix builds compact computational imaging systems using software-defined meta-optics, combining meta-optical elements with machine learning reconstruction to capture full-color, hyperspectral, and 3D imagery in modules smaller than a sugar cube. The technology targets compact camera modules for consumer electronics, machine vision, and industrial systems, and was spun out of the University of Washington.
1 investor
TurboNext.ai builds infrastructure for running generative AI and large language model workloads more cost-effectively, using heterogeneous compute, memory optimization, and hardware allocation tuned to specific models. It targets teams operating LLM workloads that need to lower their compute and memory costs.
1 investor
Turbulent Flux develops flow simulation software focused on scalability, flexibility, and cost efficiency.
1 investor
Turing Biosystems builds digital twins of biological systems by integrating multimodal data and reasoning over complex connected information using a proprietary graph database engine. The company develops TuringDB, a graph database designed for organizations handling complex connected data with emphasis on auditability and explainability across sectors including healthcare.
1 investor
TurningMode develops medical technologies for healthcare providers including smart illumination systems, patient ventilation solutions, and sterilization technology. The company aims to improve clinical workflows and patient care outcomes for physicians, nurses, and caregivers.
1 investor
Tuva builds Rao, an AI research collaborator that maintains a living knowledge graph of a scientist's project context and runs agents on top of it for tasks like literature search, data analysis, script generation, math derivations, and writing. It integrates with tools researchers already use (VS Code, command line, Notion, Google Drive) and shares context with agents like Claude, Codex, and Cursor via MCP.
1 investor
TwentyBN was an AI startup that built interactive, visual AI systems for smart home, fitness, and automotive applications. Founded in Berlin in 2015 with a Toronto subsidiary, its assets were acquired by Qualcomm in July 2021.
1 investor
Twenty Two develops AI-powered biosecurity infrastructure for screening and monitoring biological threats across the emerging bioeconomy. The platform provides automated customer screening, functional sequence prediction, and model safeguards to help organizations comply with dual-use research regulations.
1 investor
TwinSense is a Tokyo-based company developing EdgeSmart™ technology based on neuromorphic sensing and processing, combining edge AI, 3D computer graphics, event-based vision sensors, and computer vision. It works with partner companies to build solutions for detection, identification, and tracking applications.
1 investor
TwinStrand develops Duplex Sequencing technology, a genomic platform for improving accuracy in clinical medicine and life sciences research applications. The company works with partners to translate genomic research into products for human health and scientific discovery.
1 investor
Twilight develops injectable precision immunotherapies to train the body's immune system to treat chronic diseases at scale. The company targets conditions that existing therapies inadequately address, with a focus on neurological and immunological diseases.
1 investor
TX24 is building execution infrastructure centered on a sub-2ms matching engine for financial markets. The company is in pre-launch and fundraising phase, with operations planned across Dubai and the EU.
1 investor
A venture capital firm that invests in early-stage deep technology and emerging tech startups, particularly focusing on blockchain, AI, and infrastructure technologies. The team comprises founders, engineers, and operators with experience building and scaling companies across SaaS, AI, Web3, and healthcare.
1 investor
TYLsemi is a chiplet-first silicon company that provides chiplet-based design and validated chiplets to help teams build AI infrastructure systems from architecture to deployment. It offers a lower-complexity path to advanced silicon, with the option to extend into full custom silicon.
1 investor
Type 1 Compute converts existing AI models trained in PyTorch or ONNX to run on FPGAs with significantly reduced power consumption, enabling edge deployment without retraining or hardware changes. The company serves defense, autonomous systems, medical, and industrial sectors requiring power-efficient inference at the edge.
1 investor
Typewriter Therapeutics develops mRNA-based gene therapies using a platform for targeted insertion of therapeutic genes, building on transposon research from the University of Tokyo. It aims to treat patients with severe genetic disorders, with research facilities in Tokyo and Cambridge, USA.
1 investor
Tyris Therapeutics develops non-viral gene therapies using a proprietary DNA format (oDNA™) to treat rare and prevalent genetic diseases. The company aims to provide safer, controllable treatments that can accommodate genes of any size, with the ability to adjust dosing and allow for retreatment.
1 investor









