Our Services
Let's tailor a data science partnership to fit your goals
Project-Based Consulting
Best for tackling specific ML or optimization challenges with clear deliverables.
- Problem Framing & Scoping
- Mathematical Optimization Modeling (MILP, LP, Non-linear)
- ML Models for Forecasting & Decision Support
- Integrated Decision Systems (APIs, dashboards, notebooks)
- Strategic Scenario Simulation & Trade-off Analysis
- Proof-of-Concept Delivery for Feasibility Validation
- Model Validation, Stress Testing & Documentation
Embedded Collaboration
Best for long-term engagement on complex, evolving decision systems.
- Long-Horizon Optimization Strategy & Design
- ML/Optimization System Architecture & Ownership
- Iterative Modeling with Real-Time Business Alignment
- Exploratory Trade-Off Modeling & What-If Scenarios
- Tactical & Strategic Planning Support
- Ongoing Refinement of ML and Optimization Models
- Model Governance & Explainability
How We Work with You
We help organizations turn complex decision problems into clear, high-leverage models. Our work spans applied machine learning, mathematical optimization, and decision system design — with a focus on direct business impact. Whether scoped as a one-off delivery or an embedded collaboration, every engagement is grounded in analytical rigor and end-to-end ownership: from framing the question and selecting the right modeling approach, to implementation, testing, and deployment. We specialize in hard problems: constrained planning, resource allocation, forecasting under uncertainty, uplift modeling, targeting logic, and automated trade-off systems — always with a focus on usability and measurable outcomes.
Project-Based Consulting
When you have a specific question and need a clear, well-scoped solution — fast.
We take on focused projects where business questions can be turned into concrete modeling tasks: an optimizer for annual promotions, an uplift model to improve campaign targeting, a scenario planner for constrained budgets, or a simulator to test strategic options. We handle the full stack — from mathematical formulation and model implementation to testing, simulation, and deployment.
These engagements are ideal when you need:
- To quickly test and validate a high-impact idea with a functional prototype
- A custom optimization or ML model that fits your business logic, not off-the-shelf templates
- Senior-level delivery without long onboarding or coordination overhead
- Clear handover, documentation, and collaboration with internal teams
Projects typically last 2–8 weeks, with a fixed scope and clear deliverables — but always built to extend or evolve later if needed.
Embedded Collaboration
When modeling is a core part of the business — and the questions are too complex for packaged solutions.
We join your team part-time or full-time, providing senior expertise across ML, optimization, and decision system design. We help define roadmaps, design and implement models, guide infrastructure decisions, and work directly with business stakeholders to align model behavior with real-world priorities.
Embedded work is ideal if you're:
- Building a long-term planning tool, resource allocator, or dynamic pricing engine
- Developing ML systems with complex constraints or needing interpretable decisions
- Scaling a data function and want deep modeling experience without hiring full-time
- Needing a bridge between business, product, and technical teams
We work as an integrated part of your team — providing senior modeling expertise with the continuity of an internal role and the flexibility of external support.
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