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AI Use Cases
synvert Accel­er­at­ors
Products

GenAI Accelerator

At a time when gen­er­at­ive AI use cases are increas­ing stead­ily in require­ments and com­plex­ity, a struc­tured approach to provide the neces­sary infra­struc­ture is of cru­cial import­ance. Reusab­il­ity, effi­ciency and scalab­il­ity play a cent­ral role here. synvert accel­er­ate the devel­op­ment and pro­duc­tion of GenAI use cases.

At a time when gen­er­at­ive AI use cases are increas­ing stead­ily in require­ments and com­plex­ity, a struc­tured approach to provide the neces­sary infra­struc­ture is of cru­cial import­ance. Reusab­il­ity, effi­ciency and scalab­il­ity play a cent­ral role here. synvert accel­er­ate the devel­op­ment and pro­duc­tion of GenAI use cases.

What is the GenAI Accelerator?

The GenAI Accelerator is a com­pre­hens­ive col­lec­tion of Ter­ra­form mod­ules developed for the three major hyper­scalers (AWS, Azure, GCP); it serves as a tool to accel­er­ate the imple­ment­a­tion of Gen­er­at­ive AI use cases by rely­ing on a proven, mod­u­lar architecture.
The infra­struc­tural archi­tec­ture of such use cases is often based on sim­ilar com­pon­ents that have been iden­ti­fied in numer­ous pro­jects and brought together in the Accelerator. These mod­ules already con­tain basic logic and best prac­tices for the most com­mon components.
The GenAI Accelerator allows new use cases to be developed more effi­ciently and quickly, as it not only provides a sim­pli­fied infra­struc­ture, but also integ­rates a broad, uni­ver­sally applic­able logic into its mod­ules. This approach min­im­izes the effort required for ini­tial con­fig­ur­a­tion, allow­ing teams to focus dir­ectly on use case-spe­cific implementation.
With this approach, the Accelerator makes a sig­ni­fic­ant con­tri­bu­tion to mas­ter­ing the com­plex­ity of Gen­er­at­ive AI pro­jects and speed­ing up the intro­duc­tion of new use cases.

Use cases

Busi­ness require­ments meth­od­o­logy and templates

Clear meth­od­o­logy and tem­plates for the effort­less, fast and pre­cise cap­ture and present­a­tion of busi­ness requirements.

Ref­er­ence use cases in dif­fer­ent industries

Ref­er­ence use cases that can be cus­tom­ized to your needs. 

View all cloud providers

Our Accelerator sup­ports all major cloud pro­viders (AWS, Azure, GCP) and enables the use of open-source LLMs in highly reg­u­lated environments.

Ready-made mod­ules

Ready-made mod­ules for con­tent extract­ing, prompt­ing lib­rar­ies, and inges­tion into know­ledge and vec­tor data­bases stream­line the devel­op­ment of a GenAI use cases.

Usage Insights

Get to know your users by ana­lyz­ing anonym­ized ques­tions and optim­ize your data accordingly.

Integ­ra­tion into exist­ing applications 

Our Accelerator provides the infra­struc­ture to integ­rate GenAI into exist­ing applic­a­tions and optim­ize pro­cesses with AI.

Data Qual­ity first 

The qual­ity of input data is cru­cial when work­ing with it AI. Use the time saved to col­lab­or­ate with us in optim­iz­ing data selec­tion for your know­ledge database.

Out-of-the-box report­ing und monitoring

Mon­it­or­ing and super­vi­sion of inputs, mod­els and per­form­ance are essen­tial com­pon­ents of every application.

Com­pli­ance with reg­u­lat­ory requirements

Our Accelerator is already in use for pro­duct­ive use cases at sev­eral reg­u­lated com­pan­ies from the fin­an­cial and energy sectors.

synvert experts

Daniel Krieg

Senior Consultant ML und ML-Platforms

After studying physics at TU Dortmund University, Daniel joined synvert with a focus on analytics and the development of ML platforms. As an expert in ML infrastructure, he supports companies in building ML platforms in on-premises and cloud environments and has recently been increasingly involved in the implementation of GenAI use cases. As a Senior Consultant of the synvert group, Daniel contributes to the group's expertise in Data & AI.  

Dr. rer. nat. Max Bußkamp

Consultant

Max Bußkamp holds a PhD in Chemistry, specializing in Physical Chemistry, and has extensive experience in DevOps, high-performance computing, and managing on-premises systems. As a consultant at synvert, he contributes to the development of cloud platforms with a particular focus on DevOps and MLOps systems. Currently, he is engaged in setting up and managing a machine learning platform to enable data science in the insurance sector.

Ser­vices in which we are experts

Advis­ory

AI & BI

Data Plat­forms

Data & AI Cloud Enablement

Cloud Nat­ive Apps

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