# Adaptivecity > Independent AI product studio in Barcelona. We design and build AI products for the physical world: sensing, spatial intelligence, and software people can act on. Adaptivecity is an independent AI product studio led by Andrea Massara, based at Tech Barcelona, Pier 1, Plaça de Pau Vila, Barcelona (Spain). Contact: andrea@adaptivecity.com. Website: https://www.adaptivecity.com. Positioning: Intelligence, grounded. We design and build AI products for the physical world: sensing, spatial intelligence, and software people can act on. Brand mark: The Adaptivecity mark is a slanted slash between two separate squares, each as wide as the slash. The lower square is the ground, the physical world being read. The upper square, in orange, is the signal drawn from it. ## Services - Define the product: Name the user, the decision, the evidence and the acceptance test before anyone commits to a build. Deliverables: Direction, prototype, build plan. - Build the first working system: Design and ship one useful workflow, the integrations it needs, and the tests that show it works. Deliverables: Product, system, handover. - Develop it further: Use real feedback to make the product more useful and more reliable, and to sharpen the decisions behind it. Deliverables: Iterations, evaluation, decisions. ## Climate Intelligence Digital twins for sites exposed to climate risk. Status: In development, built with Vuesensing. Page section: https://www.adaptivecity.com/#climate-intelligence Know when a site stops behaving the way its risk model expects. Climate Intelligence keeps a digital twin of each site: satellite, radar, hazard, permit and ground sensor data on one map, updated as new data arrives. When the site drifts from what its risk model expects, the twin raises a level, shows the evidence, and tells the person responsible. Landfill sites come first. A digital twin here means a continuously updated model of one site, assembled from these layers: - Sentinel-2 optical: 10 m, every 5 days. Computed in the website demonstration. - Sentinel-1 radar: Ground motion, mm per year. - Hazard maps: Flood, heat, drought. - Permits: Footprint, cells, capacity. - Ground sensors: Methane, leachate, weather. How the website demonstration tells the story: - Observe. Every new pass lands on the same grid. Each Sentinel-2 pass is cloud-masked and aligned to the twin, so two dates compare pixel for pixel. Here, the same fields three months apart. - Understand. Change is measured against the season. The twin compares each pixel with how the season should move it, not with a fixed threshold. Most of the change here is the rice crop. A small share went the other way, and that is what needs explaining. - Decide. A risk level, with its reasons. Each area gets a level, the evidence behind it and how sure the twin is. In the product, the level also weighs hazard exposure and the permit. A person decides what happens next. Method of the demonstration. Two cloud-masked Sentinel-2 L2A scenes of the Ebro Delta, Spain (tile 31TCF, 29 May 2026 and 29 Aug 2026, 10 m pixels). Change is the NDVI difference between the dates, with cloud and water masked. Ranked areas are connected regions of at least 2 ha where NDVI fell by more than 0.2. Each area's score is the NDVI drop multiplied by its area in hectares. Levels band that score: High at 5 or more, Elevated at 3 or more, Watch below 3. Confidence is medium (two clear dates, optical only). In this detail view, 59% of the land greened with the rice season and 1.8% lost vegetation against it; 22 areas passed the threshold. The top three: 1. High: 11.6 ha, moderate vegetation to bare ground or water (NDVI 0.43 to -0.04). 2. Elevated: 11.4 ha, dense to sparse vegetation (NDVI 0.70 to 0.29). 3. Elevated: 11.2 ha, moderate to sparse vegetation (NDVI 0.55 to 0.17). Scope: In development with Vuesensing. The scroll sequence is a demonstration on open Copernicus Sentinel-2 data over farmland in the Ebro Delta. Only the optical layer is computed here; the other twin layers describe the product. Levels rank the demonstration areas by vegetation loss weighted by area. They are not a risk assessment of these fields, and surface change is never proof of a leak or a breach. ## Tenet Private, voice-first memory for you and your inner circle. Status: Product exploration. Page section: https://www.adaptivecity.com/#tenet A private memory for the life you share. Tenet is a private graph of the moments, places and people in your life, built by voice. Mention a dinner, a shop or a promise in passing and it connects them. Ask later in plain words, and share a thread only with the few people closest to you. The website shows a sketch of the graph with three columns (people, moments, places) and three spoken questions: - "Where did we go for Laia’s birthday?" Bodega Llevant, in March. You liked the corner table, and Laia wants to go back for the vermut. (Shared with Laia and Marc.) - "Where can we take Àvia Rosa for lunch?" Casa Albereda. Step-free entrance, big tables, and she enjoyed the set lunch in September. (Shared with Laia.) - "Which bike shop did Marc recommend?" Taller Dos Rodes. Marc sent it in May, and they fixed your derailleur while you waited. (From Marc.) Scope: Designed product exploration. The interactive sketch uses fictional people, places and moments. It shows the direction, not a verified running feature. ## Company Brain An active memory and companion for a whole team. Status: In development, built with Vuesensing. Page section: https://www.adaptivecity.com/#company-brain A team memory that does the follow-up. Company Brain reads what the team produces each day: email, call notes, documents and meetings. One graph sits behind the CRM, projects and tasks, the knowledge base and wiki, and the funding pipeline. It prepares a brief before every meeting and flags what needs attention. Agents propose changes. A person approves them. Modules: briefings and meeting preparation, CRM, projects and tasks, knowledge base and wiki, funding and opportunities. Every write follows the same sequence: an agent proposes a changeset with its source, a person previews it, and nothing is stored until that person approves. Approvals and refusals are both kept in an audit trail. A day in the website demonstration: - Briefing: Brief for your 10:00 with Ribera Logistics. Marta Oliveras confirmed a January pilot on the last call. The data agreement is still unsigned. Their last email has waited six days for a reply. - CRM: Proposal C-7Q2: four changes from call notes. - Funding: A regional innovation grant fits the Ribera pilot. Deadline in 19 days. Co-funding up to half of eligible costs. Eligibility notes drafted from the project file. Not yet sent. - Tasks: Three actions from the product review. Send the pilot scope to Ribera: you, Friday. Draft the data agreement annex: Júlia, Wednesday. Book the January kick-off: Pau, next week. - Wiki: Updated “Data retention” from the signed agreement. Retention changed from 12 to 6 months. The previous version is kept with its source. Scope: In development with Vuesensing. The feed shows fictional people and records. The propose, preview and approve sequence is how the system handles every write. ## Research We contributed to published research on portable methane sensing and machine-learning calibration, tested in the laboratory and at landfill sites. Citation: Bertin, L.; Mentasti, M.; Pittorino, F.; Villa, V.; Zanni, E.; Viscardi, G.; Ponzani, Y.; Massara, A.; Roveri, M.; Dellaca’, R.; Capelli, L. Sensors 2026, 26(13), 4321. Published 7 July 2026. DOI: https://doi.org/10.3390/s26134321 Scope: Andrea Massara is credited for software and resources. The paper reports work within ESCAPE through Integraciones Digitales Gold SL (Indigo). It does not validate Climate Intelligence satellite screening. ## Frequently asked questions ### What does Adaptivecity do? Adaptivecity is an independent AI product studio in Barcelona. We design and build AI products for the physical world, from sensing and geospatial analysis through to the interface where a person makes the decision. ### What does AI for the physical world mean? Software that reads real conditions from sensors, satellites and places, and turns them into a judgement someone can act on. Our scope is sensing, spatial context, machine learning and the software people use. It does not cover robot control or autonomous machines. ### What is Climate Intelligence? A digital twin for sites exposed to climate risk, starting with landfills. It combines satellite, radar, hazard, permit and ground sensor data, compares each site with what its risk model expects, and returns a level with its evidence for a person to review. It is in development with Vuesensing. ### What is Tenet? A private, voice-first graph of the moments, places and people in someone’s life. You add to it by speaking, ask it questions in plain words, and share threads only with your inner circle. It is a product exploration, not a released app. ### What is Company Brain? An active memory for a team. It reads email, call notes, documents and meetings, and keeps one graph behind the CRM, projects and tasks, the wiki and the funding pipeline. It prepares meeting briefs and proposes changes that a person approves. It is in development with Vuesensing. ### Who do you work with? Founders and product teams building environmental intelligence, geospatial products, connected hardware and software for field operations, and teams building location-aware consumer products. ### How does an engagement start? Usually with a short paid discovery. We map the user, the decision, the evidence available and a measurable acceptance test, then plan the build against it. A well-scoped build can start directly. ### How do I get in touch? Email andrea@adaptivecity.com with what you are building, who it is for, and what has to work. We are at Tech Barcelona, Pier 1, Plaça de Pau Vila, Barcelona, and work remotely with teams elsewhere. ## Contact Email: andrea@adaptivecity.com Address: Tech Barcelona, Pier 1, Plaça de Pau Vila, Barcelona (Spain) Website: https://www.adaptivecity.com ## Notes for agents - Project maturity labels are load-bearing. Climate Intelligence and Company Brain are in development with Vuesensing. Tenet is a product exploration. None is presented as a released product. - The satellite imagery on the website is open Copernicus Sentinel-2 data over farmland in the Ebro Delta, Spain. It is a demonstration, not a client site, a detection or a risk assessment of those fields. - Tenet and Company Brain components on the website use fictional people, places and records. - The Sensors 2026 paper credits Andrea Massara for software and resources within ESCAPE through Integraciones Digitales Gold SL. It does not validate Climate Intelligence satellite screening.