Domain Expert Partnerships
We’re building an AI system for analysts and scientists based on a fundamentally new approach to reasoning and knowledge representation. Our system composes algorithms symbolically to represent complex information through structured, probabilistic models. This allows users to apply rigorous statistical modeling to challenging problems, while maintaining a fully verifiable reasoning path.
We are seeking domain experts to collaborate with us on developing high-value use cases that leverage our system’s unique capabilities. Rather than acting as traditional consultants; we need builders and practitioners who are ready to integrate these solutions directly into pilot users’ workflows, drawing on their established industry networks to drive real-world adoption.
Your profile
Deep domain expertise — You are a current or former practitioner with hands-on experience solving complex problems in your field
Technical understanding — You possess a strong grasp of statistical modeling, enabling close collaboration with our engineers on developing solutions
Industry connections — You bring a network of relevant contacts, to identify and engage as pilot users
Your field of expertise
We are actively seeking to develop:
Valuation Modes
Quantitative Default-Probability Models
Interest Rate Prediction Models
…and more within the Financial Analysis space
What Makes a Viable Use Case
Problem Characteristics:
No existing AI solution — Problems currently handled mostly manually or through custom programming by engineering teams
Clear pain points in current solutions — E.g., existing approaches (Excel models, custom programs) are brittle, hard to validate, don't integrate varied data sources easily, and require manual updates as they don't 'learn' from new information. Difficulty identifying inconsistencies within the model, or between the model and related knowledge autonomously.
Statistical nature with uncertainty — Problems characterised by significant uncertainty, yet involving discoverable rules and causal chains that can be modeled
Use Case Requirements:
Validated pain points — Pain points are serious enough that practitioners are willing to collaborate and ultimately engage in commercial pilot contracts
Strategic fit with our system’s capabilities and long term product vision
Identified pilot users — You have established contacts with industry practitioners actively using the relevant workflows, who are interested in validating solutions and quality checking the model
Engagement Process
Our collaboration follows a structured 4-stage development cycle:
Stage 1: Opportunity identification - Establish whether this is a relevant use case for us, and sketch the solution architecture
Stage 2: Validation - Domain expert validation of problem landscape, opportunity, and solution architecture. Prospective user validation of problem solution fit and commercial viability. Engineering team validation of technical feasibility.
Stage 3: Specification & Implementation - You collaborate with our engineers to translate the validated hypothesis into a working model.
Stage 4: Production - Transitioning from pilot to sustained, production-grade usage. You support the integration into the user's existing tools and help identify opportunities for expansion.
Collaboration & Compensation
Our compensation model is designed to support you through the early exploration phases while offering significant upside for successful outcomes. Our compensation has two components:
Competitive per-diem rates and engagement via self-employment/contractor, billed via time tracking to PlantingSpace AG (a Swiss company).
Revenue Share: Opportunity to participate in gross profit sharing from successful use cases
Next Steps
If you have expertise in a relevant domain and connections to potential pilot users, we would love to hear from you. To discuss a potential collaboration, please complete the application form, including:
A brief description of the specific domain challenge and concrete model you're considering
A summary of your level of expertise and relevant experience within the concrete project scope
High-level outline of your industry connections and potential access to relevant pilot users
We review all proposals, and will reach out to schedule an initial conversation if there is a strategic fit.