You are being asked to deliver AI on data you cannot yet trust. Flentas builds one governed copy of your data on open formats, so BI and AI finally run on numbers your teams agree on.
Most enterprises aren't short on data. They're short on one copy of it they can trust.
The model is ready. The data behind it isn't trusted enough to use.
The same data work gets repeated instead of becoming something teams can reuse.
Every new question means another spreadsheet, extract or one-off pipeline.
Heavy queries compete with the applications your customers actually use.
Each system keeps its own version of customers and revenue, so every report starts an argument.
Proprietary engines and licenses make every new use case a procurement conversation.
Finance, operations, and marketing report different numbers and nobody can say which copy is correct. A single governed copy of your data — on open formats — becomes the one source every team works from.
Heavy analytics queries running straight against production degrade the customer-facing application and stall AI pilots. Flentas moves reporting onto a governed lake so analytics never competes with live transactions.
Every new question means another manual export or a one-off pipeline built from scratch. A governed foundation with reusable, orchestrated pipelines clears the backlog instead of growing it.
GenAI fails most often at the data, not the model. Flentas builds the governance, lineage, and quality that RAG and natural-language-to-SQL depend on, so AI is grounded in data your auditors can stand behind.
We prove value on one foundation, then extend the platform and the pattern. It is the discipline behind data projects that scale rather than stall.
We map the data estate, design the target architecture, and hand back a prioritized roadmap with a cost estimate and business case.
We stand up a governed foundation and the first pipelines, and put your first use case into production — not just a proof of concept.
We run and scale the platform as a managed workload, onboarding new sources and use cases as they arrive.
ChangeSafe — Flentas' proprietary GenAI accelerator for data-dependency discovery
Payments Platform
100% Heavy Reporting Offloaded From Production
Analytics queries running against the transactional database degrade the customer-facing app — moving reporting onto a governed, deduplicated lake via change-data-capture takes the load off production entirely.
Security Data Fabric
500M+ Events Processed Per Day, ~2,500 Accounts
Telemetry scattered across a multi-cloud and on-premises estate makes SIEM economics unworkable — a cloud-agnostic OCSF security data lake processes hundreds of millions of events a day at a fraction of legacy SIEM cost.
GenAI and reporting pilots stall because nobody can vouch for the data behind them — a governed lakehouse with lineage and access controls in place makes an audit evidence you already hold, not a scramble.
A warehouse that hasn't been touched in years forces analysts into manual exports — migrating off Vertica, Splunk, or Teradata onto an open lakehouse restores one trusted source of truth.
“Every team had its own numbers, and reporting against production was starting to slow down the app itself. Flentas gave us one governed copy of our data on open formats — the same numbers for BI and the AI pilots we'd stalled on twice before. Heavy reporting came off production entirely, and for the first time, an audit was evidence we already had, not a scramble.”
Head of Data & AnalyticsEnterprise Fintech Platform, India
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Cut licence and maintenance cost and get the data ready for analytics and AI.
Explore Database ModernizationOne governed copy of your data, ready for BI and AI.
Self-service BI and GenAI grounded in data you trust.
Explore Analytics & IntelligenceBuild and run production agents with governance and cost under control.
Explore Agentic AI SolutionsBook a data assessment. We map your estate, design the target architecture, and hand back a prioritized roadmap with a cost estimate and business case.