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SOLUTIONS THAT DELIVER RESULTS, CUSTOMIZED TO YOUR UNIQUE NEEDS.

We drive client outcomes by providing the solutions businesses need to grow and thrive in the digital age. From modern delivery frameworks to optimizing operational workflows, we provide the tools and methodology that fuels growth.

Digital business principles

Our digital business methodology provides a consistent and proven approach to quickly drive outcomes. Our mission is to build a collaborative digital culture that leverages a Single Source of Truth, enabling simplification and innovation – all of which leads to greater organizational agility and speed.

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Our Capabilities

Our Digital Business Transformation approach starts with gaining a deep understanding of your business objectives, with the intent of building upon your current processes and services. From there we offer a roadmap of solutions that work to meet your specific goals, ensuring that your transition is successful.

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Agile transformation

For transformation to happen fast, it requires adopting agile practices. For optimal digital business outcomes, we take our clients through a disciplined approach to achieving rapid change, focusing on all aspects of their People, Processes and Tools.

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Data & analytics

Single source of truth (SSOT), the central enterprise data repository, provides a singular and comprehensive view of a business and its customers. It provides the AI/ML tools to drive growth and profitability. Our approach includes Investigators, Builders, and Story-Tellers.

The art of generating insights

Data Scientists, Statisticians, Probability Experts with a keen knack of diving into data and surfacing valuable insights to create new opportunities for growth.

The craft of generating insights

AI and ML Engineers armed with the new age tool-kits extracting insights and building data pipelines. Scaling and operationalizing AI/ML into day-to-day operations to deliver faster decision making skills.

The art of building narratives

Making output of AI/ML accessible across the enterprise with smartly orchestrated dashboards. Focus on delivering real-time data by reducing complex data enviroments with easy to use interfaces.

Site reliability engineering

Our SRE adoption strategy brings business, development, and operations together with a shift left approach. Our client’s objective is dependent on the reliability of their digital services, which allow them to operate at scale. Altimetrik provides a structured perspective to transition to an engineering centric approach for system observability, availability, resiliency, and automations to enable critical business capabilities.

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Information security

Technology teams are re-examining their engineering environment, establishing security controls, and shifting to DevSecOps and public cloud platforms to accelerate digitalization. Security practices and controls need to provide real-time feedback loops and dynamic guardrails. Key accelerators include IT Agility and Optimization, Penetration Testing as a Service (PTAAS), Threat Modeling and Risk Analysis, Shift Left and Shift Everywhere.

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DevSecOps
DevSecOps is the connective tissue that supports, protects, and gives structure to your engineering environment. Altimetrik develops a scalable DevSecOps solution that optimizes your processes, brings simplification to your engineering environment, automates governance approvals, allows for end-to-end orchestration and a continuous learning culture. This allows you to accelerate your engineering velocity, improve developer experience, and measure release predictability.

Develop a scalable DevSecOps strategy to optimize processes, simplify the engineering environment, automate governance approvals and adopt ephemeral infrastructure.

Create a single-source of truth, policy driven model for continuous deployment that is definitive, and has a declared state toward which the system converges.

Enable a continuous learning culture, empowering engineering teams to measure their DevSecOps maturity throughout the product delivery lifecycle.

Product engineering

Our design, omni-channel and cloud native capabilities bring together a global team of top talent with amazing culture, engineering excellence and a proven record building award winning platforms and apps. Our offering takes root in a comprehensive product bootstrapping that gives shape to value creating outcomes across the software engineering stack to shape measurably engaging apps that perform at scale on the cloud.

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Cloud engineering

Organizations are leveraging the cloud to help accelerate business outcomes. Our practice is designed to accelerate partner cloud strategy and implementation, by adopting modern practices to enable your business to leverage cloud-based services that brings assured productivity, security, reliability, scalability to optimize engineering and operations maturity.

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Salesforce

As a trusted Salesforce Partner for over a decade, Altimetrik partners with Salesforce in the product engineering space to help end customers in their digital transformation journey. Our global team of Salesforce certified practitioners have expertise in implementing customer-centric Salesforce Solutions, MuleSoft API Integrations, Tableau CRM solutions that focus on the customer 360-degree experience.

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Group 2175

"Incomparable employee upskilling, sharp learning curves, appreciation by management for one’s innovative ideas & solutions and a good work life balance is what makes Altimetrik unique and I feel happy to be a part of this growing organization.”

Sakthivel Vijayamoorthi,

Senior Architect, India

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