"Value creation through empirical fact & analytical rigor"

Sinewa Research is a boutique analytics consultancy that engages with clients to help them understand their business problems through the analysis of data, infrastructure, and market research. We specialize in the application of artificial intelligence (AI), data science, software product development as well as quantitative valuation to help our clients achieve their short- and long-term financial goals.

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Our Approach

Our research process begins with primary sources in order to fully understand business fundamentals and form independent hypotheses. We test and validate these hypotheses with relevant data. Finally, we assemble our findings into professional strategies, deliverables and recommendations.

1. Discovery

Time is our most valuable resource; therefore, we must allocate it to what matters most. We evaluate opportunities by assimilating all relevant data into a holistic system perspective. Our researchers will then deconstruct it down to the variables with the most leverage over business outcomes.

2. Implementation

We co-architect solutions with you under an agile development cycle so that hypotheses can be tested and validated in real-time. These rapid iterations deliver insights that drive incremental and paradigmatic shifts in assumptions, beliefs and returns.

3. Measurement & Delivery

If you aren't doing better with us, we aren't doing our job. We close every engagement with rigorous benchmarking, clear reporting, and structured handoff — so that every recommendation is measurable and every insight is yours to keep.

Areas of Research

Agentic Workflows

Design and deployment of autonomous AI agents that orchestrate multi-step processes — from data ingestion and reasoning to decision execution and escalation.

Product Analytics

Deep instrumentation and behavioral analysis to surface growth levers, retention drivers, and monetization opportunities within your product.

Supply Chain Optimization

Quantitative modeling of supply networks to reduce cost, minimize inventory risk, and improve operational resilience under uncertainty.

Personalization

Machine learning systems that tailor content, pricing, and recommendations to individual users at scale — driving engagement and conversion.

Natural Language Processing

Applied NLP for document intelligence, contract analysis, sentiment classification, and extraction of signal from unstructured data.

Valuation & Financial Modeling

Rigorous DCF, comparable company, and scenario-based models to support investment theses, M&A diligence, and strategic planning.

Contact

For inquiries, please reach out to us directly.

Josh Lemaitre

Josh Lemaitre

Founder
Head of Research

josh@sinewaresearch.com
Full Bio