Why Enterprises Struggle
The data landscape is broken. Here's what's holding organizations back from realizing their potential.
Silos
Siloed Data & Fragile Pipelines
Organizations struggle with data silos that prevent real-time insights, leading to delayed decision-making and missed opportunities. Custom scripts become maintenance nightmares as teams scale.
Average enterprise loses 20-30% of productivity due to data integration issues
Complexity
Data Mesh — On the Roadmap, but Hard to Realize
The promise of data mesh architecture is compelling, but implementation requires complex domain modeling, governance frameworks, and cross-team coordination that most organizations can't achieve.
90% of data mesh initiatives fail due to implementation complexity
Readiness
GenAI Promises, Missed Timelines
While GenAI tools are powerful, they require high-quality, well-governed data to deliver reliable results. Most enterprises lack the data infrastructure to support production AI applications.
80% of GenAI projects fail to reach production due to data quality issues
Control
Rising Cloud Bills & Uncontrolled Complexity
Cloud costs are growing 3x faster than revenue for most enterprises. Teams spin up their own tools and infrastructure, leading to massive cost overruns and security risks.
Average enterprise overspends 40% on cloud infrastructure due to poor governance
Integration
Legacy System Integration Nightmare
Most enterprises have 20+ years of legacy systems that need to be integrated with modern data platforms. This requires extensive custom coding and creates fragile dependencies.
Integration projects take 6-12 months longer than planned and cost 3x the original estimate
Gap
Data Governance & Compliance Chaos
GDPR, CCPA, and industry-specific regulations require sophisticated data governance. Manual processes can't scale, leading to compliance risks and potential fines.
Average enterprise faces $2.5M in potential fines due to data governance gaps
The Future of Data Automation
Transform your data operations with our automation-first platform
Zero-code orchestration for data ingestion
Reduce development time by 80%
Code-heavy pipelines
No-deploy metadata execution
Eliminate DevOps overhead completely
Complex CI/CD & staging infra
5x faster productization
Ship features in weeks, not months
Long engineering & QA cycles
One unified automation layer
Single platform for all data operations
Tool sprawl
GenAI built-in with access control
AI-ready from day one
GenAI as an afterthought
Automated compliance & governance
Zero-touch regulatory compliance
Manual data governance
Ready to transform your data operations?
Built for Every Journey
Whether you're migrating from on-prem, building your first GenAI app, or scaling across business domains — we help you move faster, cheaper, and smarter, without hiring an army of engineers.
On-premise to Cloud Migration
Seamlessly migrate legacy systems to modern cloud infrastructure
First-time GenAI Implementation
Build your first AI applications without complex setup
Cross-domain Data Scaling
Scale data operations across multiple business domains
Compliance & Governance
Achieve regulatory compliance with automated data governance
Global Data Operations
Scale data operations across multiple regions and time zones
Data Product Innovation
Transform data into revenue-generating products and services
Proven Impact
Real results from real customers across industries and use cases.