Stop Arguing About Whose Numbers Are Right
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.
Cloud & Data Engineering
Data Engineering
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.
The Reality
When Your Data Starts Getting in the Way
Most enterprises aren't short on data. They're short on one copy of it they can trust.
AI is waiting on better data
The model is ready. The data behind it isn't trusted enough to use.
Pipelines keep getting rebuilt
The same data work gets repeated instead of becoming something teams can reuse.
Reports still depend on manual exports
Every new question means another spreadsheet, extract or one-off pipeline.
Analytics is hitting production
Heavy queries compete with the applications your customers actually use.
Nobody agrees whose numbers are right
Each system keeps its own version of customers and revenue, so every report starts an argument.
Legacy warehouses lock you in
Proprietary engines and licenses make every new use case a procurement conversation.
Key Benefits
From Fragmented Data to a Governed Foundation for AI
Stop Slowing Production With Analytics
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.
Stop Rebuilding the Same Pipeline
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.
Ground AI in Data You Can Trust
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.
Proof Points
Data Platforms Built for Real-World Scale
500M+Security events processed per day on a Flentas-built data platform
100%Of heavy reporting moved off a client production database onto a governed lake
96.5%Client retention across cloud and data engagements
How It Works
A Staged Path From Assessment to Production
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.
- 1
Assess: Map the Estate, Design the Target
We map the data estate, design the target architecture, and hand back a prioritized roadmap with a cost estimate and business case.
- 2
Build: Ship the First Use Case to Production
We stand up a governed foundation and the first pipelines, and put your first use case into production — not just a proof of concept.
- 3
Operate: Run and Scale as a Managed Platform
We run and scale the platform as a managed workload, onboarding new sources and use cases as they arrive.
Technology Stack
Technologies & Tools We Use
Lakehouse & Storage
Apache Iceberg · Delta Lake · Amazon S3 · Databricks Data Intelligence Platform on AWS · Unity Catalog
Pipelines & Ingestion
Lakeflow Connect · Spark Declarative Pipelines · AWS Glue · Amazon Kinesis · Apache Kafka · AWS DMS · change-data-capture
Warehouse & Legacy Migration
Migration off Vertica, Splunk, and Teradata · Amazon Redshift · Glue Data Catalog federation
Governance & Security
Unity Catalog lineage & fine-grained access · data masking · secure sharing · OCSF security data lake / SIEM
Consumption & Intelligence
Databricks SQL & Genie · BI and self-service analytics · RAG and natural-language-to-SQL on your own data
Delivery Accelerators
ChangeSafe — Flentas' proprietary GenAI accelerator for data-dependency discovery
Case Studies
View all client success storiesWhere Data Engineering Makes a Difference
Fintech / Payments
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.
Payments Platform
100%Heavy Reporting Offloaded From Production
Change-data-capture from MySQL and Postgres through AWS DMS into S3, with a Delta Lake layer that mirrors and deduplicates the source — moving 100% of heavy reporting off the production database onto a low-cost, auditable lake, with a bridge ready to a Databricks lakehouse.
Security & Compliance / Enterprise
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.
Security Data Fabric
500M+Events Processed Per Day, ~2,500 Accounts
A cloud-agnostic OCSF security lake spans roughly 2,500 accounts across AWS, Azure, GCP, and on-premises — processing more than 500 million events per day in near real time, replacing a costly Vertica and Splunk estate.
Regulated Financial Services
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.
Teams Modernizing Off Legacy Warehouses
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
What's Next
Where This Fits in Your Journey
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Database Modernization
Cut licence and maintenance cost and get the data ready for analytics and AI.
Explore Database ModernizationData Engineering
One governed copy of your data, ready for BI and AI.
Analytics & Intelligence
Self-service BI and GenAI grounded in data you trust.
Explore Analytics & IntelligenceAgentic AI Solutions
Build and run production agents with governance and cost under control.
Explore Agentic AI SolutionsGet Started
Start With an Assessment, Not a Rebuild
Book a data assessment. We map your estate, design the target architecture, and hand back a prioritized roadmap with a cost estimate and business case.
- AWS Advanced Consulting Partner
- AWS Managed Service Provider
- 96.5% Client Retention