The migration was completed on time with minimal disruption to our operations. Strongly recommend Novuz.
Sergey Novgorodsky
Head of Data Solutions, ALM
Novuz enables enterprise modernization from risky, labor-intensive projects to deterministic software capability.
Novuz is a productized modernization platform that converts legacy data warehouse schemas, ETL, and workflows into fully functional, production-ready modern workflow pipelines - fast, accurate, and low-risk. Built for enterprises modernizing mission-critical data systems.
ML-driven parser maps the full estate, schema, logic, lineages and dependencies, a byproduct of every migration. The discovery layer builds a complete semantic model of the legacy system, capturing relationships between objects, ETL workflows, and data lineage that would take human teams months to document manually.
A Bayesian Inference generates deterministic code followed by auto-validation to create production ready output at scale at zero token cost. The convergence layer resolves 95% of conversion cases through deterministic modeling combined with rules-based optimization, producing fully validated, auditable production-ready code.
Resolves the final 5% edge cases with enterprise grounded context, instead of generic AI, for accurate outcome at low token cost. The agentic resolver uses a lightweight RAG architecture to retrieve customer-specific knowledge, targeting just 700–1,000 tokens per successful LLM-assisted resolution. A human in the loop validation ensures accuracy.
Data never leaves the client environment. Novuz runs entirely within client infrastructure, fully isolated from external networks. All schema, logic, and lineage data remains under the customer's security perimeter, ensuring compliance with the most stringent data residency and sovereignty requirements.
Novuz deterministic intelligence runs entirely within the client environment, with its algorithms, decision logic, and inference models fully isolated from external systems. Every architectural decision is governed confidence scoring - ensuring consistent, transparent, and controlled outcomes without exposing proprietary logic or data.
Client-specific RAG knowledge bases remain isolated within customer environments, ensuring no shared learning, cross-client exposure, or leakage of proprietary business logic. Each enterprise maintains full control over its modernization intelligence and accumulated system knowledge.
Cognizant, Wipro
Limitations: Labor-intensive, Expensive
Platform agnostic, complete, faster, cheaper
Accenture, Deloitte
Limitations: Manual, slow, expensive
Databricks Lakebridge, Azure Migrate, AWS SCT
Limitations: Platform specific, partial
40% Cost Savings.
3x faster. 96% automation.
Zero-defect delivery.
40% projected cost savings.
3x faster with self-service migration.
40% cost savings.
ETL modernization to improve efficiency.
The migration was completed on time with minimal disruption to our operations. Strongly recommend Novuz.
Very happy with the high-level of automation. Strongly recommended & endorsed (Novuz).
My team has been evaluating for the past week. This was a complete conversion and met our needs.
Novuz is led by a seasoned technology team with deep expertise in enterprise modernization, cloud infrastructure, data platforms, and AI/ML. The founding team brings decades of experience building and modernizing large-scale enterprise systems, combining technology leadership with hands-on engineering expertise.
The team blends enterprise domain knowledge with product and AI expertise to address the complexity of large-scale modernization - building Novuz as a deterministic, enterprise-grade platform.
Debjani combines strategic delivery leadership and business development acumen with deep technical knowledge in machine learning, data warehousing, and cloud architecture. She holds an engineering degree. Before Novuz, she successfully led $10M+ modernization initiatives at Accenture as a delivery executive.
Ted brings in deep passion for technology and a strong track record in building advanced systems. Previously a Principal Engineer at Cisco and an early team member at Contrail Systems, he holds 15+ patents spanning networking, energy management and embedded systems. Ted is a graduate of IIT Kharagpur.
Subhajit serves as the Lead Architect for the Novuz engineering team, bringing a strong blend of programming expertise and deep knowledge of software architecture and packaging. A quick learner, a proactive problem-solver and ready to walk the extra mile, he is a key contributor to the success of the Novuz team.
Novuz managed platform with consumption-based billing. Ideal for proving value on your own workload before committing to a full enterprise deployment. Includes reconciliation reports and edge case resolution code, with no long-term services contract required.
On-premise deployment with fixed pricing and no usage caps. Designed for production enterprise deployments at scale, with continuous modernization capabilities, dedicated support, and SLAs. Monthly, quarterly, or annual billing with volume discounts available.
Technical debt is consuming more than 40% of the IT budget. Legacy systems are blocking AI adoption. Modernization no longer has to be a high-risk, expensive consulting engagements.
