Services
Six services for your data, AI and cloud projects
Every service below is scoped as a fixed-price deliverable, built by senior engineers on AWS and handed over with the code and infrastructure in your name. Start from the problem you have today; if it is the wrong one, we will tell you plainly.
- 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.
Veraplot builds AI agents and RAG assistants that answer from your own documents, databases and lakehouse, running on Amazon Bedrock inside your AWS account so your data stays within your perimeter. We combine Claude and other LLMs with vector search, tool use through MCP servers, text-to-SQL and guardrails, and we measure answer quality before anyone relies on it. Each agent is delivered at a fixed price by senior engineers, with the cost per conversation visible from the pilot onwards.
- Amazon Bedrock
- Claude
- Amazon Nova
- Mistral
- Llama
- Amazon OpenSearch Service
Automation & internal tools
Stop paying per seat for work a script does better.
Veraplot automates repetitive business processes and builds internal tools on AWS, often replacing SaaS subscriptions billed per seat. We write the logic in Python, run it on AWS Lambda and Step Functions, trigger it from schedules, file drops or events, and add a Next.js back-office wherever a person needs to check or approve. Each automation is a fixed-price deliverable, and the code runs in your account with no licence to renew.
- Amazon EventBridge Scheduler
- Amazon S3 event notifications
- Amazon API Gateway
- Amazon SES
- Python
- AWS Lambda
System integration & events
Your ERP, CRM and partners, in sync as things happen.
Veraplot connects ERPs, CRMs, SaaS platforms and partner APIs through event-driven integrations on AWS, replacing point-to-point scripts and ageing ESBs. We publish business events on EventBridge or Kafka, map formats such as SAP IDoc XML to JSON, and deliver them with idempotency, retries, dead-letter queues and end-to-end tracing. Every integration is built at a fixed price by senior engineers who have run SAP-to-cloud flows in production.
- SAP IDoc
- Amazon API Gateway
- Webhooks
- AWS DMS
- Amazon AppFlow
- Python
Web & mobile apps
Web, iOS and Android apps, shipped in weeks, owned by you.
Veraplot designs and develops web and mobile applications with Next.js and React Native (Expo), backed by Python or TypeScript APIs on AWS. One senior team builds the web app, the iOS and Android apps and the serverless backend, with Cognito authentication, DynamoDB or PostgreSQL, and CI/CD from the first sprint. Projects are delivered at a fixed price, hosted in your AWS account, and the code is yours.
- Next.js
- React
- Expo
- React Native
- TypeScript
- Tailwind CSS
Cloud architecture & FinOps
Pay for what you use, and know exactly what that is.
Veraplot designs, migrates and optimises AWS environments for companies that want a secure, well-governed cloud without paying for idle capacity. We set up landing zones and infrastructure as code with CDK, SAM or Terraform, move workloads to serverless or managed services where it makes sense, and run FinOps audits that tag, right-size and remove waste. Every engagement is a fixed-price deliverable, built by senior AWS engineers.
- AWS Organizations
- AWS Control Tower
- IAM Identity Center
- AWS IAM
- Amazon VPC
- AWS KMS
The data stack we run in production
No lock-in for its own sake. Open formats, managed AWS services where they earn their keep, and tools your team can hire for.
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
From first call to production
- 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.