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Global opportunity made possible.

The objective is to create a seamless process that not only accelerates quote delivery but also facilitates personalized interaction with experts for service customization.
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Drive client

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Product Owner

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Technical
& Developers

Unmatched experiences, that push your company boundaries

Average monthly
cost for core team
0 k
Months delivery for
most proyects
0 m
Professionals
at your service
0 k+
Average ROI
0 x
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A Unified Hub for Account Management

MAS Portal stands as the ultimate hub for merchants, providing a unified space for comprehensive account management. Merchants can efficiently oversee all their business accounts, gaining a holistic view of activities and balances.

Streamlined Payments and Approvals

MAS Portal introduces a seamless payment initiation and approval process. Merchants can effortlessly execute payments to their designated service providers while efficiently managing approvals within the same platform. This simplification not only saves time but also enhances the overall financial workflow.
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Quickly expand your workforce.

Take advantage of our global employment products to hire who you want, wherever you want — starting in just minutes — without setting up new entities.

From idea to reality

RVA - Lululemon

Altimetrik launches Digital Business Academy to address digital talent needs.

Globalization Partners

A better and faster way to build your global team.

Little Horse

Altimetrik launches Digital Business Academy to address digital talent needs.
Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes