Approuvé par les startups pilotées par des indicateurs de performance (KPI)

Nous fonctionnons comme une extension des équipes de nos clients, à un rythme de startup, avec une expertise approfondie de leur écosystème de développement, afin de garantir que leur infrastructure cloud atteigne leurs KPI.

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Why Startups Love Automat-it

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Syroco Build End-to-End MLOps Pipeline for Maritime Optimization

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In the ever-evolving maritime industry, optimizing voyages to improve operational efficiency, reduce fuel consumption and carbon emissions are strategic priorities.

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Luzia logo header image

Luzia Unlocks Growth with DevOps, GenAI Optimization & Bedrock PoC

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Working with Automat-it helped us accelerate a critical migration with clarity and confidence. Their technical expertise and hands-on support allowed us to benchmark quickly, fine-tune the setup, and move to production with Amazon Bedrock smoothly. This collaboration saved us months of effort and unlocked significant cost savings.

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Rubén Espinosa Perez, 
Head of Engineering, 
Luzia
C2i Genomics logo

C2i Genomics Cut Job Processing Time by 50% With Storage Solution

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Discover how a migration project led by Automat-it enabled the startup to deliver highly performant and cost-effective storage as it expanded.

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C2i Genomics , 
(part of Veracyte)
Toasty logo for case study image

Toasty Uses GenAI to Optimize Ecommerce Product Listings

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The whole process was completed in a timely manner. This was possible through great collaboration with the Automat-it team including Camille Jubin, Damien Metzler, and Vlad Melnyk, and AWS Account Manager, Tom Clementi, who were all extremely efficient and flexible to our needs.

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Renan Bronchart, 
CTO, 
Toasty

Swaap Cuts Cloud Costs And Time-to-Market With AWS Migration

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Automat-it provided a smooth AWS migration, boosting scalability, resilience, and efficiency, while ensuring a seamless transition with minimal disruption.

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David Bouba, 
Co-Founder, 
Swaap

Mitra Bio Cuts Data Processing Time By 96%, Storage Costs 70%

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Automat-it took a systematic approach to solving our data management problem and the results were clear and immediate. It previously could take up to four hours to process 1000 individual data sets, now it takes just 15 minutes.

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Victoria Dyster, 
Data Engineering Lead, 
Mitra Bio
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