From raw data to AI in production, within a few weeks.
VERAPLOT is a senior engineering team for cloud, data and AI. We design, build and run lakehouses, AI agents, automations and apps on AWS, at a fixed price agreed before the first line of code.
- Fixed price, no overrun
- Senior engineers only
- You own the code and the infra
- Sources
- Bronze
- Silver
- Gold
- AI & BI
Engineering engagements delivered for teams at*
*These partnerships represent IT consultancy engagements completed by VERAPLOT as an organization or by its founder, delivering expert cloud and data solutions to innovative companies across various industries.
Services
Six services, delivered by the engineers who scope them
Every engagement is scoped, priced and delivered by the engineers who build it, from the first call to production.
- Flagship
Data platform & lakehouse
From Bronze to Gold: a lakehouse your teams actually trust.
Veraplot designs and builds data lakehouses on AWS for companies that need one reliable foundation for reporting, analytics and AI. We land your sources in Amazon S3 as Apache Iceberg tables, refine them from Bronze to Silver to Gold with dbt, Python and Spark, and govern them with DataHub and Lake Formation. Each platform is delivered by senior data engineers at a fixed price agreed up front, and you own the code and the infrastructure.
- Apache Kafka
- Amazon MSK
- Amazon Kinesis
- Amazon Data Firehose
- AWS DMS
- Debezium
- Amazon AppFlow
- AWS Lambda
- Amazon S3
- Apache Iceberg
- Amazon S3 Tables
- Apache Parquet
- dbt
- SQL
AI agents on your data
Agents that answer from your data, inside your AWS account.
Automation & internal tools
Stop paying per seat for work a script does better.
System integration & events
Your ERP, CRM and partners, in sync as things happen.
Web & mobile apps
Web, iOS and Android apps, shipped in weeks, owned by you.
Cloud architecture & FinOps
Pay for what you use, and know exactly what that is.
Data stack
A modern data stack built on open formats
We favour proven open formats over lock-in, so your platform stays portable, auditable and ready for AI, whether it runs on AWS or alongside the tools you already have.
Catch it
Batch, CDC and streaming, straight into Bronze
- Apache Kafka
- Amazon MSK
- Amazon Kinesis
- Amazon Data Firehose
- AWS DMS
- Debezium
- Amazon AppFlow
- AWS Lambda
Keep it
Open table formats on S3, no proprietary vault
- Amazon S3
- Apache Iceberg
- Amazon S3 Tables
- Apache Parquet
Refine it
Bronze to Silver to Gold, as tested code
- dbt
- SQL
- Python
- PySpark
- Apache Spark on AWS Glue
- Amazon EMR
- Polars
- DuckDB
- pandas
Run it
Schedules, dependencies, retries and backfills
- Apache Airflow
- Amazon MWAA
- Dagster
- AWS Step Functions
- Amazon EventBridge
Trust it
Catalog, lineage, quality checks and permissions
- DataHub
- AWS Glue Data Catalog
- AWS Lake Formation
- dbt tests
- Great Expectations
- Soda
- Data contracts
- OpenLineage
Serve it
SQL, dashboards and AI-ready tables
- Amazon Athena
- Amazon Redshift
- Trino
- Power BI
- Amazon QuickSight
- Grafana
- dbt Semantic Layer
- Amazon SageMaker Feature Store
- pgvector
Architecture
Four architectures we deliver regularly
Four real patterns we ship: pick a view, or let it walk you through.
Your data, from scattered systems to one trusted source
Your sources land in a lakehouse, get cleaned and modelled in three steps, then feed your dashboards, AI agents and apps.
Sources
Data Platform
Lakehouse · AWS- Gold · PublishedBusiness-ready
- Silver · StandardizedCleansed & conformed
- Bronze · Raw ZoneIngested as-is
Targets
Method
How a project runs, from the first call to handover
A short, predictable path from the first call to a system running in your account.
- 01
Discovery call
We map your systems, constraints and the outcome that matters. You talk to the engineer who will build it, not an account manager.
- 02
Fixed-price scope
A written scope with deliverables, milestones and one price, agreed before any code is written. No day-rate meter running in the background.
- 03
Build in short iterations
Working increments every one to two weeks, demoed on your data in your AWS account. Course corrections happen early, not at the end.
- 04
Handover and optional run
Code, infrastructure as code, runbooks and a walkthrough with your team. Run it yourselves, or keep us on support month-to-month or on a 1–3 year plan.
Track record
37+ projects delivered since 2018
Fixed-price deliverables, 30–50% below typical ESN rates.
- Projects delivered
- 37+
- Enterprise clients
- 15+
- Industries served
- 6+
Selected work
See all projects- Large enterprise2023 – today
Enterprise data platform and multi-source integration
Designed and built a comprehensive data platform featuring a scalable Data Lake and robust data pipelines. Engineered seamless data ingestion from diverse enterprise systems including Salesforce, Piwik, SailPoint, ServiceNow, SuccessFactors, SAP, and others. Enabled unified data access and real-time analytics across the organization.
- Automotive2022
Serverless data lake architecture
Designed and deployed a scalable Data Lake foundation, orchestrating the complete migration of legacy workflows. Built secure REST APIs to interface internal industrial data with CRM systems.
- Semiconductor2021-2022
Industrial data platform optimisation
Engineered a robust Data-Driven platform leveraging cloud analytics tools. Consolidated operational logs and optimized data availability for statistical teams, ensuring high performance for critical analytics.
Why Veraplot
A partner, not a supplier
| Why Veraplot | VERAPLOT | Typical ESN |
|---|---|---|
| Pricing | VERAPLOT :Fixed price, agreed up front | Typical ESN :Day rate, open-ended |
| Who builds it | VERAPLOT :The senior engineers who scoped it | Typical ESN :Whoever is available after the sale |
| Time to production | VERAPLOT :Weeks, with demos along the way | Typical ESN :Months of workshops first |
| Ownership | VERAPLOT :Your code, your AWS account | Typical ESN :Vendor-held know-how |
| Cost | VERAPLOT :30–50% below ESN rates | Typical ESN :Layers of overhead |
FAQ
Questions we get asked
What services does VERAPLOT offer?
VERAPLOT delivers six service lines: data platforms and lakehouses (dbt, Spark, Python, Apache Iceberg, DataHub on AWS), AI agents on your own data, automation and internal tools that replace costly SaaS seats, system integration and event-driven architecture, web and mobile apps (Next.js, Expo), and cloud architecture with FinOps. Every engagement is fixed-price, scoped up front, with no overrun.
Where does VERAPLOT operate?
VERAPLOT is based in Écully (Lyon), France, and serves clients across France, Belgium, Switzerland, Luxembourg, Germany, Ireland, the United Kingdom, the United States, Canada and French-speaking Africa. Delivery is remote-first, with on-site visits when the project needs them.
Can VERAPLOT staff qualified freelancers or engineers for my projects?
Yes. Beyond project delivery, VERAPLOT sources and places pre-vetted Data, Cloud and AI professionals, freelance or permanent, with consultancies and end clients in France and Belgium. Every candidate is technically screened by our own architects before you receive a CV, so the profiles you interview actually match the mission. Our fee structure is designed to have zero impact on your margin. Tell us about your open position and we'll come back within 72 hours.
Can VERAPLOT automate my repetitive business tasks?
Absolutely, this is one of our most requested services. We build custom automations that eliminate time-consuming manual work: scheduled scripts, automated generation and processing of Excel, CSV, JSON or XML files, data extraction and reconciliation, report generation, and end-to-end business process workflows. A task that takes your team hours every week can typically run unattended in minutes. Most automation projects are delivered as small fixed-price packages, so you know the cost and the time saved before we start.
Why fixed-price instead of day-rate?
Fixed-price contracts remove budget uncertainty. We commit to a deliverable for a defined scope at a fixed cost, typically 30 to 50% below equivalent ESN day-rates, with zero overrun on the agreed scope.
How long does a typical project take?
80% of our projects deliver in 2 to 16 weeks, with proof-of-concepts often live in 2 to 4 weeks. Larger programs run 3 to 6 months with iterative milestones.
How many projects has VERAPLOT delivered?
Since 2018, VERAPLOT has delivered 37+ projects across automotive, semiconductor, healthcare, tourism, public sector, and other industries.
Can VERAPLOT build a mobile app for iOS and Android?
Yes. We use Expo (React Native) for cross-platform iOS + Android apps from a single codebase, paired with a Python serverless backend on AWS Lambda. End-to-end delivery from design to App Store / Play Store release.
Contact
Tell us about your project. We reply within 24 hours.
A few details are enough. A senior engineer reads every request, not a sales team.
What happens next
- 1We reply within 24 hoursA first read of your context, questions if needed, and whether we are the right fit.
- 2A 30-minute callWith the engineer who would build it, to map your systems, constraints and the outcome you need.
- 3A fixed-price proposalScope, milestones, timeline and one price, agreed before any work starts.
Prefer to talk right away? Book a call or email contact@veraplot.com