Press Release
Cyferd Inc announces its headquarters in the USA.
Cyferd Inc, Global AI Innovator, Establishes US Headquarters, After Unprecedented Demand for AI Technology
Cyferd Inc (Cyferd), a global leader in AI and data technology, is thrilled to announce its headquarters in the United States. This strategic move marks a pivotal expansion in Cyferd’s mission to revolutionize the enterprise landscape with its state-of-the-art artificial intelligence engine, Neural Genesis, and the Cyferd Enterprise Platform.
Neural Genesis stands at the forefront of AI innovation, offering the most cutting-edge enterprise AI solutions. This powerful AI engine, seamlessly integrated with the Cyferd Enterprise Platform, unifies disparate data sources to create dynamic, intelligent operating systems tailored for enterprises. With this unified data approach, businesses can unlock unparalleled efficiency, innovation, and growth.
Ranjit Bahia, CEO of Cyferd, expressed his enthusiasm, “Establishing Cyferd Inc in the heart of the world’s tech innovation hub underscores our commitment to delivering revolutionary AI solutions globally. Neural Genesis is not just an AI engine; it is a catalyst for enterprise transformation, enabling businesses to harness the full potential of their data in ways previously unimaginable.”
Cyferd’s ability to demonstrate to global businesses that they can build out customizable solutions that integrate AI to automate manual and inefficient processes has led to an unprecedented rate of growth in the US. The Cyferd Enterprise Platform is set to accelerate the adoption of advanced AI technologies across various industries, including procurement, finance, healthcare, manufacturing, and more. Neural Genesis, with its ability to adapt and evolve, empowers organizations to streamline operations, enhance decision-making, and foster innovation, driving competitive advantage in a rapidly evolving digital landscape.
The Cyferd Enterprise Platform is designed to integrate seamlessly with existing systems, providing a unified, scalable solution that grows with the enterprise. By creating a cohesive data ecosystem, businesses can eliminate silos, ensure data integrity, and derive actionable insights with ease.
“Our exponential growth in the US market positions us to better serve our growing customer base and attract top-tier talent to further enhance our technological offerings,” added Bahia. “We are committed to pushing the boundaries of what AI can achieve, and with Neural Genesis, we are setting new standards for the adoption of AI across enterprises worldwide.”
Cyferd’s establishment in the US heralds a new era of AI-driven enterprise solutions. The advanced capabilities of Neural Genesis, combined with the robust, unifying power of the Cyferd Enterprise Platform, are poised to redefine the future of business operations, driving sustainable growth and innovation.
Find out more About Cyferd
New York
Americas Tower
1177 6th Avenue
5th Floor
New York
NY 10036
London
2nd Floor,
Berkeley Square House,
Berkeley Square,
London W1J 6BD
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Comparisons
BOAT Platform Comparison 2026
Timelines and pricing vary significantly based on scope, governance, and integration complexity.
What Is a BOAT Platform?
Business Orchestration and Automation Technology (BOAT) platforms coordinate end-to-end workflows across teams, systems, and decisions.
Unlike RPA, BPM, or point automation tools, BOAT platforms:
- Orchestrate cross-functional processes
- Integrate operational systems and data
- Embed AI-driven decision-making directly into workflows
BOAT platforms focus on how work flows across the enterprise, not just how individual tasks are automated.
Why Many Automation Initiatives Fail
Most automation programs fail due to architectural fragmentation, not poor tools.
Common challenges include:
- Siloed workflows optimised locally, not end-to-end
- Data spread across disconnected platforms
- AI added after processes are already fixed
- High coordination overhead between tools
BOAT platforms address this by aligning orchestration, automation, data, and AI within a single operational model, improving ROI and adaptability.
Enterprise BOAT Platform Comparison
Appian
Strengths
Well established in regulated industries, strong compliance, governance, and BPMN/DMN modeling. Mature partner ecosystem and support for low-code and professional development.
Considerations
9–18 month implementations, often supported by professional services. Adapting processes post-deployment can be slower in dynamic environments.
Best for
BPM-led organizations with formal governance and regulatory requirements.
Questions to ask Appian:
- How can we accelerate time to production while maintaining governance and compliance?
- What is the balance between professional services and internal capability building?
- How flexible is the platform when processes evolve unexpectedly?
Cyferd
Strengths
Built on a single, unified architecture combining workflow, automation, data, and AI. Reduces coordination overhead and enables true end-to-end orchestration. Embedded AI and automation support incremental modernization without locking decisions early. Transparent pricing and faster deployment cycles.
Considerations
Smaller ecosystem than legacy platforms; integration catalog continues to grow. Benefits from clear business ownership and process clarity.
Best for
Organizations reducing tool sprawl, modernizing incrementally, and maintaining flexibility as systems and processes evolve.
Questions to ask Cyferd:
- How does your integration catalog align with our existing systems and workflows?
- What is the typical timeline from engagement to production for an organization of our size and complexity?
- How do you support scaling adoption across multiple business units or geographies?
IBM Automation Suite
Strengths
Extensive automation and AI capabilities, strong hybrid and mainframe support, enterprise-grade security, deep architectural expertise.
Considerations
Multiple product components increase coordination effort. Planning phases can extend time to value; total cost includes licenses and services.
Best for
Global enterprises with complex hybrid infrastructure and deep IBM investments.
Questions to ask IBM:
- How do the Cloud Pak components work together for end-to-end orchestration?
- What is the recommended approach for phasing implementation to accelerate time to value?
- What internal skills or external support are needed to scale the platform?
Microsoft Power Platform
Strengths
Integrates deeply with Microsoft 365, Teams, Dynamics, and Azure. Supports citizen and professional developers, large connector ecosystem.
Considerations
Capabilities spread across tools, requiring strong governance. Consumption-based pricing can be hard to forecast; visibility consolidation may require additional tools.
Best for
Microsoft-centric organizations seeking self-service automation aligned with Azure.
Questions to ask Microsoft:
- How should Power Platform deployments be governed across multiple business units?
- What is the typical cost trajectory as usage scales enterprise-wide?
- How do you handle integration with legacy or third-party systems?
Pega
Strengths
Advanced decisioning, case management, multi-channel orchestration. Strong adoption in financial services and healthcare; AI frameworks for next-best-action.
Considerations
Requires certified practitioners, long-term investment, premium pricing, and ongoing specialist involvement.
Best for
Organizations where decisioning and complex case orchestration are strategic differentiators.
Questions to ask Pega:
- How do you balance decisioning depth with deployment speed?
- What internal capabilities are needed to maintain and scale the platform?
- How does licensing scale as adoption grows across business units?
ServiceNow
Strengths
Mature ITSM and ITOM foundation, strong audit and compliance capabilities. Expanding into HR, operations, and customer workflows.
Considerations
Configuration-first approach can limit rapid experimentation; licensing scales with usage; upgrades require structured testing. Often seen as IT-centric.
Best for
Enterprises prioritizing standardization, governance, and IT service management integration.
Questions to ask ServiceNow:
- How do you support rapid prototyping for business-led initiatives?
- What is the typical timeline from concept to production for cross-functional workflows?
- How do licensing costs evolve as platform adoption scales globally?