Cloud-Native Transformation
Design, modernize, and operate resilient cloud-native applications with scalable platforms, automated delivery, and enterprise-grade governance.
Get Started with your requirements and primary focus, that will help us to make your solution
AI Engineering
Unified Agentic AI native platform to adapt, learn and innovate with Intelligent AI Agents while driving efficiency and agility
Distributed System consists of multiple decision-making agents that can adapt, learn and act autonomously in a shared environment to achieve common or conflicting goals.
Integration of AI agents that act autonomously within data and analytics workflows to optimize decision-making and streamline processes.
Autonomous, Flexible, Precise and Intuitive Agents with diverse capabilities to complex workflows, data-driven decision-making.
We help organizations design, build, and run modern platforms—combining cloud, data, AI, and automation to deliver measurable business outcomes.
End-to-end services that accelerate innovation, efficiency, and growth—tailored to your business priorities.
Design, modernize, and operate resilient cloud-native applications with scalable platforms, automated delivery, and enterprise-grade governance.
Establish decision-driven data strategies, build modern data platforms, and operationalize analytics for faster, smarter business decisions.
Automate across the enterprise with process discovery, RPA, orchestration, and AI assistants to reduce costs and improve cycle times.
Ship trustworthy AI faster—model development, evaluation, and governance with reproducible pipelines, monitoring, and responsible-AI practices.
Deliver BI, self-service analytics, and governed data products that turn information into actionable, real-time insights for every team.
Platform Engineering
Design Studio for Agentic AI Discovery helps enterprises to understand AI Opportunities in Different Industries and Specific departments. Map the Opportunities into existing Processes and identify the Improvements areas.
Business AI Workshop is enablement towards understanding Agentic AI opportunities in different Sectors and Domains. Defining Use Cases on Business, Technical and Ethical Views. How to Map with existing areas of Improvements
Building Agentic AI Strategy with Human-Centered AI and Responsible AI Principles and ReDefining the Business Decisions and Analytics with Data Infrastructure and Integration with Processes and legacy Systems.
Prioritisation of Business AI Use Cases based on Vision, Business Value, Risks and compliances and Processes and Enterprise Systems. Re-Skilling and Transformation of People and Culture towards Data-Driven
Enterprise Support
Compound System for Efficient Deployment and Scalable Workloads for Private Cloud Compute Engine
Training model to perform specific tasks by providing it large amounts of data from scratch and Fine tuning enables and adapt models to specific tasks without starting from scratch.
Unified Platform to deploy, govern, and query AI and ML models for real-time and batch inference for Cloud and On-premises Environments.
Private Cloud Compute is custom-built server hardware that brings the power and security with Stateless computation and enforceable guarantees, No privileged runtime access, Non-targetability and Verifiable transparency.
Use Cases
Risk management involves Data , Model, operational, Ethical and compliance risks for identifying and addressing vulnerabilities and threats for Agentic Systems
Enabling faster threat detection, containment, investigation and response. Eliminating alert fatigue and hyperautomation of Case Management with Agentic and Augment Soc Analysts with Aviators and Droids.
To identify and explore potential risks in an agentic system by simulating real-world attacks, including malicious inputs, biased data, or adversarial manipulation attempts with structured way including leaks of sensitive data and generated content.
Application Security involves AI Security and safety, putting a risk management framework into action with Visibility through an AI-BOM, Proactive risk mitigation with context, and Threat detection in pipelines.
Fostering a Culture of Innovation and Excellence through Integrity, Collaboration, and Embracing Change
Skills grow, character stays.
Ethics in every action.
Open, honest, clear.
Together, we win.
Fuel for innovation.
Positivity powers productivity.
Respect builds trust.
Excellence in every detail.
These eight principles are the DNA of Syddhi—guiding how we work, innovate, and grow together
Our core values drive us to deliver cutting-edge solutions, foster collaboration, and uphold integrity for transformative impact.
Understanding needs: Compassionate connections, empowering solutions, and positive impact.
Transparent partnerships: Building trust, honesty, and clarity for mutual success.
Continuous advancement: Embracing growth, learning, and innovation for excellence.
In-depth exploration: Delving into insights, discoveries, and solutions beyond the surface.
Unwavering dedication: Resilience, commitment, and progress against challenges.
Innovative collaboration: Fostering idea exchange, diversity, and open communication channels.
Foster positivity, balance, and personal growth.
How Industries and different departments use Agentic Workflows and Decision Intelligence to Become Decision Centric.
Revolutionizing travel with advanced tech for faster, safer air and space journeys
Autonomous operations boost financial services by improving accuracy, speed, and efficiency
Automotive and industrial sectors with improved precision, speed, and efficiency
Boosting the tech industry with faster, more precise, and highly efficient processes
Enhancing consumer tech with smarter, faster, and more reliable performance for daily life