INFOLOB and the art of moving what cannot stop

The first sign of trouble was ordinary enough: an insurance application began taking too long to answer. Then came errors and downtime. A market event had brought a rush of activity, and the database underneath a financial transaction system was struggling. In INFOLOB’s March 2023 account, the customer already had a cloud database. Its problem was what happened when people actually used it.

INFOLOB moved that customer from Amazon RDS for MySQL to Oracle’s MySQL Database Service on OCI. The company reports transaction response times fell 30%. It is an anonymous customer story, with results supplied by the seller. Still, the sequence is revealing. The immediate question was whether the application could process the next transaction reliably. A new cloud address was useful only if it answered that question.

A business built below the screen

Vijay Cherukuri founded INFOLOB in 2009. Its durable specialty became Oracle: databases, enterprise applications and Exadata, Oracle’s integrated database infrastructure. The firm’s Exadata services brochure dates its work to version 2 in 2010. That is experience with the machinery behind business software, where a seemingly small change can disturb a payroll run, a loan application or an overnight report.

The distinction matters when choosing a consultant. INFOLOB occupies the specialist services market, alongside Oracle-focused providers and the database practices of larger systems integrators. Its pitch is accumulated familiarity with the technology. Oracle’s own 2024 awards page names Infolob Solutions India Private Limited the APAC winner for solution innovation in driving business insights. That is a specific external endorsement, rather more useful than a shelf of unexplained badges.

Its organization also tells you what it sells. A January 2023 restructuring separated INFOLOB Global’s cloud, applications, data and digital practices from INFOLOB Solutions’ consulting and staffing business. Global’s work now ranges from infrastructure migration to Oracle Fusion applications, data engineering and managed operations. Buyers are purchasing people, implementation and continuing responsibility for systems, with proprietary tools increasingly part of the package.

The customer work reaches beyond database administration. INFOLOB’s published Disney case describes integrating transaction data from business groups such as parks and hotels into data lakes to support customer profiles and targeted marketing. Its public-sector Taleo case concerns automated onboarding and electronic signatures. Healthcare, finance and government feature repeatedly because their everyday workflows depend on large, interconnected information systems. The common thread is an operational problem with a data problem underneath it.

The interesting number is two

Consider another engagement: a financial services company running a collection of loan management, treasury, reporting and Oracle applications on IBM AIX. INFOLOB’s account describes a move to Oracle Linux, OCI and Exadata Cloud Service. Before the final switch, the team conducted two rounds of test migrations. Disaster recovery was part of the design.

Two rehearsals are an unromantic detail. They are also the detail worth copying. A production system is connected to other systems, schedules and habits. Testing has to expose those relationships before customers do. The accompanying finance case study describes six workloads and six months of managed services after migration. The project included time to operate the new environment, not merely install it.

A named example makes the handoff clearer. INFOLOB says it helped Agro Tech Foods move databases supporting E-Business Suite, Siebel and supply-chain planning onto OCI. An Oracle-hosted presentation credits INFOLOB and Oracle with the resulting modernization. INFOLOB describes supporting the environment for half a year, until the customer’s internal team could manage it. The transfer of competence was part of the result.

The bill lives in the architecture

Cost becomes more interesting when it is attached to a particular system. In a healthcare case study, INFOLOB describes replacing a complicated, expensive electronic health records database architecture with an Exadata environment. Its stated problems included proprietary hardware, licensing, maintenance and difficult integration. The company estimates the change cut annual operating expenses by approximately $10 million.

That figure describes estimated savings, not what INFOLOB charged. A buyer should compare the full operating arrangement: software rights, consumption, support, transition overlap and the people needed to run it. Consolidation can change those economics. Moving an inefficient design elsewhere may simply produce a differently formatted invoice. The useful question is which recurring burden the proposed architecture actually removes.

Now the database company wants the AI work

INFOLOB’s current website presents four connected practices: infrastructure, data and analytics, agentic AI, and enterprise applications. The logic is understandable. An agent working inside a business needs usable data, access controls and systems it can safely interact with. Database experience gives INFOLOB a plausible starting point. The claim still has to be proved separately for each AI assignment.

“The Model Is the Easy Part”

INFOLOB’s current agentic AI positioning

Its newer company-described offerings are concrete enough to examine. FinOps IQ covers multicloud spending and model or token economics. PredictiveOps advertises a 24-hour infrastructure forecast. AWR Warehouse uses Oracle workload history to inform sizing, licensing and consolidation. These tools extend familiar operational questions into the AI budget: what is running, what is it costing, and what should change?

The commercial organization is expanding alongside that offer. In July 2026, INFOLOB announced Bryan Emig as sales leader, Joy Katz to lead global alliances and growth, and Valoree Magen Sherwood in workforce operations. Those appointments address three practical requirements for a services business: finding customers, working with technology vendors, and organizing the people who deliver the work.

Start with the system that hurts

The natural customer has substantial databases, integrations and operational obligations. A small application with modest traffic may have little use for this much consulting. Residency requirements, licensing and application compatibility can also constrain a proposed move. None disappears because the destination has a cloud logo.

For a buyer, the sensible starting point is a workload baseline and an explicit acceptance test. Ask for a rehearsal, a recovery drill and a named owner after launch. INFOLOB’s published work supplies that practical lesson: modernization becomes credible when someone can describe how the business will keep working through it.