Amazon Web ServicesAWS Partner
AnthropicClaude Partner
Certified engineersAWS and Claude
HamburgHeadquarters, Germany
Most companies already pay for AI: it is built into the cloud and data platforms they run. What they lack is the engineering that connects it to their real data and keeps it working. That is the work we do, as one senior team that builds it, ships it and runs it.
Every engagement starts with one use case and a date for when it goes live. We work in two-week sprints, with a working deliverable at the end of each one, and build from proven blueprints adapted to your platform. Everything runs in your cloud account, and engineers approve every production change.
See how the Production Sprint works →Agents, document intelligence and RAG, built on your governed data. We turn manuals, contracts and records into structured data your systems can use, and give teams answers with the source cited. Every agent is evaluated before release, and people review the cases it is unsure about.
AI that converts legacy code, investigates failures and proposes fixes, so the platform runs better and costs less to maintain. During migrations it translates old SQL and ETL code for engineers to review. In operations, our agent diagnoses pipeline failures and opens each fix as a pull request.
Production, not pilots.
Your account, your control.
Senior engineers through go-live.
People approve production changes.
Platform advice without vendor bias.
Data quality engineer since 2012, with experience across quality assurance, data engineering and AI automation in banking, telecom and SaaS. He focuses on governance and workflow automation, so the AI we ship keeps working in production, not just in prototypes. Ahsan leads client delivery at AgentixLake.
LinkedIn ↗
Data engineer since 2015. In recent years she has delivered enterprise lakehouse, migration and AI projects with an AWS Premier Tier Services Partner, for clients in pharma, e-commerce and financial services. Madiha leads engineering at AgentixLake and delivered the client work behind our case studies.
LinkedIn ↗AgentixLake GmbH was founded in Hamburg in 2026 and continues Madiha Khalid’s practice, active since 2023.
Our work spans pharma, shipbuilding, B2B SaaS, e-commerce and financial services, on AWS, Snowflake, Databricks and Google Cloud.
AWS
Snowflake
Databricks
Google CloudModels can now read logs, code, schemas and documents, yet most data estates are still run through scattered alerts, manual investigation and one-off projects. We build both sides together: governed data that AI can rely on, and AI that helps engineers run the platform, with people in control of every production change.