The teams of the Adlershof Startup Lab, 01 June 2026 - 31 May 2027
DocGaid
DocGaid is a privacy-compliant digital assistant platform for dental practices that streamlines administrative, communication, and documentation workflows in a single integrated system. The platform combines digital patient intake, medical history forms, informed consent, e-signatures, patient education, secure communication, document scanning, appointment management, and recall processes with specialized AI modules for voice-based documentation, billing support, and dental X-ray analysis.
Dental practices face increasing pressure from staff shortages, growing administrative requirements, complex documentation obligations, and rising expectations for modern patient communication. Many workflows remain paper-based, fragmented, and inefficient, leading to unnecessary workload, errors, and lost revenue opportunities.
DocGaid addresses these challenges by digitizing and automating core practice processes from front desk operations to treatment documentation and back-office administration. The platform improves efficiency, documentation quality, compliance, and patient experience while reducing manual effort.
In the long term, DocGaid aims to expand its platform architecture beyond dentistry into additional medical specialties.
Inny
Inny is developing an AI-native simulation platform that enables organizations to evaluate physical changes before implementing them in the real world. By combining spatial data, operational information, and AI-driven simulation, Inny allows users to test different layouts, processes, and operational decisions in a virtual environment and understand their likely impact on performance, cost, and efficiency.
The platform is designed to make advanced simulation accessible to non-experts through AI agents that automatically generate, evaluate, and rank alternative scenarios. Inny initially focuses on retail applications such as store redesigns and operational optimization, with a long-term vision of becoming the decision layer for physical systems across logistics, manufacturing, and other operational environments.
MycoWerk
MycoWerk is a Berlin-based deep-tech venture currently in the incubator phase, dedicated to transforming agro-industrial waste streams into high-value chemical precursors through fungal biotechnology. Our core mission is to establish a resilient, circular economy model that replaces volatile supply chains with secure, decentralized production networks. By leveraging solid-state fermentation, we convert locally sourced waste materials into fungal-based chitosan, a versatile biopolymer with critical applications in water treatment, agriculture, and materials science. Unlike traditional methods reliant on seasonal marine by-products or centralized manufacturing, MycoWerk utilizes a modular approach to produce consistent, high-quality biopolymers using locally produced raw materials. This strategy not only mitigates supply chain risks and reduces logistical carbon footprints but also addresses regulatory pressures on waste disposal. Our technology enables the creation of sustainable alternatives to synthetic polymers while generating economic value from waste. As we prepare for incorporation, we aim to validate our process at pilot scale and demonstrate the viability of a distributed biorefinery model that strengthens regional resource independence and promotes ecological regeneration.
Juan F. Dueñas: www.linkedin.com/in/juan-f-duennas, Peter Meidl https://www.linkedin.com/in/peter-meidl-46883a169/
ShorShield
ShorShield is a passwordless & quantum-safe enterprise credential/password management vault. Three core properties/pillars: (1) passwordless vault access via ML-DSA (NIST post-quantum authentication) and WebAuthn/FIDO2 (hardware biometrics), eliminating master passwords entirely; (2) credential encryption with NIST-standard ML-KEM-1024, making the encrypted data at rest (in vault) quantum-safe & secure from the ‘harvest now, decrypt later’ campaign; (3) zero-knowledge data vault: ShorShield or no other Government/Private organization can access/decrypt the stored encrypted data (even in case of 100% server breach). ShorShield is German-hosted & outside US CLOUD Act jurisdiction.
Streetwise
Streetwise is a safety-oriented navigation and reporting app for pedestrians in cities. Unlike Google Maps, which optimizes only for the fastest route, Streetwise suggests the safest route based on 40+ variables such as lighting, crime data and pedestrian frequency. The approach is preventive: users are routed around danger zones before an incident occurs. The app also offers an AI-powered fake call, an emergency button, live location sharing and anonymous incident reporting.
This matters because women and vulnerable groups face disproportionate risk at night: over a third of women experienced sexual harassment in the last five years, and 41% avoid going out after dark (BKA). Existing navigation tools ignore safety entirely.
Streetwise follows a B2G model: cities license the platform and offer it free to citizens. Since under 10% of incidents are officially reported, cities plan safety on incomplete data. Anonymized reports feed the algorithm and are delivered to cities as aggregated situation reports — a data-driven basis for decisions on lighting, patrols and infrastructure. Streetwise is both a citizen safety tool and a smart-city data infrastructure.
Sono
Data centers are long-lived infrastructure built on assumptions that change: climate, grid capacity, water availability, and regulation all shift over time, often faster than the industry expects. Sono is a data intelligence platform that helps data center developers and operators make better decisions across the full site lifecycle.
In the site selection phase, Sono aggregates environmental, infrastructure, and regulatory signals to score and compare candidate locations, turning a manual, fragmented research process into a structured, data-driven assessment. In the operational monitoring phase, Sono tracks how external conditions around a site evolve after construction, flagging when the environment is drifting from the assumptions baked into the original design and translating that into practical and financial terms. At the facility level, Sono helps operators improve how they run their data centers, surfacing inefficiencies, supporting better decision-making around energy and cooling, and connecting operational data to the broader environmental context the site sits in.
The platform draws on a combination of public datasets, satellite imagery, modelled projections, operational data to surface risks and opportunities that are otherwise invisible to the teams responsible for site strategy and operations.
Vectara
We aspire to make precision agriculture affordable and accessible for small and mid-sized farmers by combining three core pillars: low-cost hardware, foundation models tailored to agriculture, and agentic AI. Our goal is to lower the technological and financial barriers that often prevent smaller farms from benefiting from advanced data-driven farming methods.
By using affordable sensing and robotic hardware, we aim to collect relevant field data without requiring expensive industrial-grade systems. With agricultural foundation models, this data can be transformed into actionable insights for crop monitoring, disease detection, yield estimation, and resource optimization. Finally, agentic AI systems can support farmers in making better decisions by autonomously analyzing conditions, recommending interventions, and coordinating tasks across the farm.
Together, these technologies can help small and mid-sized farms increase productivity, reduce resource waste, and operate more sustainably while remaining economically viable.