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Timelines vary based on project scope, data readiness, and integration complexity. A proof of concept typically takes 6-8 weeks, while full production deployments range from 3-9 months, depending on complexity. We'll provide a detailed phased timeline, after our initial discovery session, along with milestones and deliverables.

We believe in budget predictability. Rather than billing hourly — where AI project uncertainties and evolving requirements can lead to unpredictable costs — we propose fixed weekly or monthly rates based on agreed scope and roadmap. This approach eliminates surprises, provides financial clarity and aligns our incentives with delivering results, not logging hours. For clearly scoped projects, fixed-price engagements are also possible.

Yes! We work with organizations of all sizes. For smaller companies, we often start with focused, high-impact initiatives designed to deliver quick wins and measurable ROI. This allows validation of value before expanding scope. Our fixed-cost model helps smaller teams manage budgets effectively.

We have deep experience in oil & gas, healthcare, food & beverage, finance, industrial manufacturing, business services, biopharma and technology. However, our methodologies are adaptable and our skillsets are transferrable to most industries with data-driven operations. Our methodology is domain-informed but industry-agnostic — centered on extracting value from complex data and operational systems.

Yes, we offer flexible support arrangements including model monitoring, retraining, system refinement, and performance optimization. Clients retain us for ongoing advisory, continuous improvement programs, governance, and maintenance services to ensure their AI investments deliver sustained value.

Yes. You retain full ownership of all custom models, code, and intellectual property we develop for your project. We believe in building your capabilities, not creating dependencies.

That's exactly where we start. Our discovery process includes an honest assessment of whether AI is the right solution for your challenge. Sometimes the answer is a simpler analytical approach; other times it's a full ML pipeline. We'll recommend what actually makes sense—not what sounds impressive.

Success metrics are defined at the outset. These may include cost reduction, revenue lift, time savings, improved forecasting accuracy, reduced downtime, operational efficiency gains, or enhanced data clarity. We align technical milestones with measurable business KPIs.