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AI-Powered Analytics: Accelerate your Digital Journey

Uncover hidden insights, predict trends, and make informed decisions with advanced machine learning.

Our incremental approach ensures seamless integration, propelling your data strategy to the next level.

AI Accelerated Analytics

Real code, not vapourware. Intelligent, elegant, and battle-tested solutions to the everyday problems your organization faces.

We bring you powerful AI accelerators that can make the difference your business needs for rapid experimentation, thereby accelerating growth.


AI-Driven Solutions

Experience AI excellence with our Generative AI (GenAI) driven solutions, backed by the capabilities of Large Language Models (LLMs) like ChatGPT, Bard, LLaMA, etc.. Achieve a significant 30-60% reduction in time-to-value, as our meticulously tailored solution directly addresses your unique pain points, aligning seamlessly with your corporate strategy.


Cross-skilled Practitioner Teams

Our practitioners, skilled AI/ML experts, breathe life into your business decisions. From crafting engaging visualizations to operationalizing AI/ML solutions, adding depth to your data's narrative.

Stats/Probability experts with PhD and other advanced degrees in Stats, Econometrics etc. Proficient in making the data talk
ML/AI /MLOps Engineers who craft modular, scalable code/pipelines to productionalize ML/AI solutions
Visualization experts who provide actionable business insights through reporting, KPIs, scorecards, dashboards & narratives

Map, Sync and Generate

Maximize outcomes with AI-driven technical accelerators. Map your business need, sync your data and Generate custom/hyper-tuned solutions with our Accelerator and Cross-Skilled Practitioner Approach.


How to Ensure Your AI Investment is a success

Leverage the capabilities of AI to empower your contemporary business with a strategic edge, amplifying decision-making across a wide array of business operations. Accelerate the seamless infusion of data and analytics into your day-to-day business judgments.


Ready to Unlock Your Enterprise's Full Potential?

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