With proven proprietary algorithms and enhanced open source tools, we provide services ranging from data engineering to model development and deployment on both cloud and hybrid infrastructure suited for high-frequency processes.
Our offerings include forecasting, backtesting, parameter optimization, analytics, and technical advisory spanning data acquisition, storage, compliance, quality, security, and responsible AI/ML application.
We are a virtual consultancy, we believe in empowering you with proven blueprints, detailed DIY materials, and flexible engagement models to build autonomous capabilities in data, analytics, and quantitative finance. Our mission is to transfer knowledge rather than create dependency. We provide thoroughly researched solutions, code, and tutorials catered across skill levels. You can progress at your own pace with access to real-time support sessions, on-site visits, or ongoing mentoring to clarify concepts, answer questions, and address challenges.
Fully customized analytical solutions, predictive models, infrastructure architectures, and technical implementations developed end-to-end by our experts based on the specifics and complexities of your use case.
Expansive libraries of annotated code samples, Jupyter notebooks, full modules, production grade scripts, and templates covering latest techniques which teams can study, reuse, and repurpose to accelerate your own developments.
Structured learning paths containing comprehensive written guides, visual tutorials, detailed explanations of concepts, and in-depth reference manuals tailored to different skill levels within client teams for self-service learning.
Flexible modes of real-time expert support including working sessions, remotemcclain meetings, on-premise visits and embedding within teams to directly train personnel, clarify concepts, mentorship and real-world advice.
We build specialized data pipelines, warehouse, validate, and monitor data while ensuring regulatory compliance, security, quality and responsible use.
Our offerings uncover trends, patterns, and opportunities within time-series data and business context to drive growth, risk mitigation, and decision making.
We rapidly develop, rigorously test, continuously improve and seamlessly deploy analytical models into production leveraging scalable infrastructure.
We architect low-latency, scalable technology infrastructure on both cloud and hybrid environments suited for securely unlocking value from data.
We provide expert guidance to optimize use of data, analytics, and technology while enabling organizations to sustainably build their own capabilities.
We conduct training programs and workshops to skill up teams on key aspects of data science, machine learning, cloud, and analytical rigor.