embryōnic studio
Founder // Startup - Data-Native Products for Vertical Markets Cohort VI
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This is NOT a traditional paid employment opportunity.
It is an opportunity to explore your business idea and build your startup as a founder, with the support of people who have done this before and will go through the journey with you.
Who are we?
embryōnic is a venture studio based in London, specialised in the zero-to-one stage. We join problem-centric founders to help them validate their concept, test for early traction signals and when the time feels right, we build and co-found the business with them to take it to market and find product-market-fit. We assign an embedded Squad and deploy our venture hatching playbook. Our sister company acts as the first investor and writes the first-check into the business in three Stage Gates to cover for the studio expenses, AI inference, kick off, de-risk the venture and eventually build a first viable version of the product. Should the venture get traction, you keep up to 70% equity in the business.
Cohort Theme:
Data-Native Products for Vertical Markets that turn trapped data into agent-ready products.
Cohort Thesis:
Every vertical runs on data that never became a product. Today data is fragmented across thousands of sources, buried in PDFs and portals, inconsistently keyed, and stale before it reaches a decision. Today it's assembled by hand, by analysts billing enterprise rates for a spreadsheet, and the modern data stack is structurally blind to it. We believe data analysis workflows will be transformed by the Agentic Web and facilitate improved decision making. Examples of industry specific data include port-call logs and vessel movement records, energy grid interconnection queues, device-outcome data, insurance loss runs, private-market cap tables and secondaries pricing, agricultural yield telemetry, construction permit histories, freight rate curves, supply-chain traceability, spectrum and infrastructure inventories, just to name a few.
What are we looking for?
APIs and MCPs make domain-specific data accessible, trustworthy, and easy to integrate into software and AI. Data-native products span proprietary feeds, vertical data platforms, extraction and normalisation pipelines, entity resolution and identity graphs, quality, provenance and licensing infrastructure, synthetic and privacy-preserving data, evaluation datasets, and agent-ready retrieval layers that let AI discover, query, and act on structured information. We are particularly interested in concepts that focus on a well-defined data domain, demonstrate meaningful advantages in coverage, accuracy, freshness, or provenance over existing alternatives, and are executed by applying B2B or B2B2C business models only.
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Who are we looking for?
We are looking for individual(s) to co-found and build a new venture with us. Most likely you are still in a job, or, ideally, in a consultant / freelancing role. We invest in founders with domain knowledge of data in specific verticals and that are looking to build data as a product — identifying relevant high-quality data sources the industry trust, aggregating fragmented sources, harmonising through entity resolution, and integrating it as live APIs and MCP endpoints that AI agents can query, trust, act on and enable entirely new workflows.
If you identified the problem because working in a specific industry or market niche, you have evidence of the problem worth solving, and you're ready to explore a concept and figure out if this is the right time to fully dedicate your time and energy to solving the inefficiency you've spotted in the market - apply today.
Maybe you are a serial entrepreneur and you are after the next gig. Maybe you have found one or more problems you think it’s worth solving for. Maybe you don’t know yet which one makes the most sense to focus on. A few things we are sure of:
- You have a remarkable sense of purpose.
- You are in love with the problem you have spotted, much more than the solution / idea itself.
- You want to listen to your potential users / customers (a.k.a. you don’t think you are smarter than everybody else, and have no fear of getting rejected.)
- You value testing hypotheses over perfectionism.
- You love crafting and iterating over time.
- You are not afraid of receiving “tough love” from your team, users or customers.
- Respectful and appreciate the work and time of others.
Details of the programme:
We are joining one new founder (or co-founding team) with specific insights in this category. You don’t need to quit your job yet, but you have the ambition to do so when the time is right. The cohort will be open for applications submitted from September 1st to October 31st, 2026. We hatch ventures in 3 Stage Gates and deploy capital progressively to cover the studio services and risk with you. We will start with all the problems you are looking to address with the product and help you validate if they are problems worth pursuing. The goal of this stage is to fully understand the problem, the market you’re entering and the users you will be serving. In the second stage, we’ll aim to test for the problem-solution fit. A first Assumption Product will be deployed as an experiment to assess the core experience assumptions, and perform customer development activities. Should the signals be the right ones, we then spin off the venture together, build a scalable baseline of the product and prove revenue traction. If the venture gets traction, you’ll keep up to 70% equity in the business and decide if to fundraise further or keep bootstrapping.
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embryōnic team:
We are a team with over 20 years of combined experience in the zero-to-one stage, with a track record in validating, iterating and taking products to market. Products we worked on range from pre-product ideas, all the way to pre-IPO. We are specialised in Product-led Growth. We’ve tested and improved a repeatable system and named it "Kinetic V²” - Its name is a reflection of the focus we place on optimising for learning rate acceleration to achieve escape velocity state. It's based on 3 Pillars: Principles, Learning Velocity Tracking and Stage Gates. We provide a rotating fractional team that allows you access to the capabilities you need, when you need it, so you can avoid the overhead count until you’re ready for it and the product demands it. We have partnered with Hyperscalers to provide AI Inference Tokens and other perks to deploy on the ventures we work with. We cover Product, Technology, Finance and Growth.
How to apply:
Complete the application: https://embryonic.studio/apply
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