PoC / MVP / Scaling or Implementation - Generative AI Professional Services Offerings in AWS Marketplace (Part 13)

In this article, I am covering PoC / MVP / scaling or implementation focused professional services offerings which customers can use to demonstrate Proof of concepts (PoCs), build minimum viable products (MVPs), scale or implement generative AI solutions. Overall, this is 13th article in the series of articles on 'Classifying Generative AI Partner Offerings in AWS Marketplace'. This is also the 3rd article in this series that covers professional services offerings by customer stage of adoption.

Many of these professional services providers offer end-to-end managed services so the classification of these offerings is entirely based on their listings in AWS Marketplace and my understanding of which categories these offerings fit in. This classification is not a reflection of partner’s entire set of professional services capabilities on generative AI they might be able to offer otherwise.

Fulfillment method: Professional Services (Count 44)

Slalom’s AWS Generative AI Testbed enables clients to deploy their own internal experimentation environment on AWS. The solution, built on native AWS infrastructure, allows organizations to: prototype and iterate rapidly to identify the most promising use cases to further develop and refine, identify potential areas where Gen AI can make a significant impact, validate results highlighting the accuracy, effectiveness, and potential ROI of the models and swap between different experiments in a safe and controlled manner with little engineering effort.

Slalom’s Generative AI Productivity Accelerator enhances productivity and drastically reduce the amount of time organizations spend on manual tasks including document research, review, summarization and creation.

Slalom’s Knowledge Mining with GenAI is a highly adaptable solution designed to unlock the value in unstructured data at scale. This service is especially beneficial for organizations seeking insights from data sources that are typically hard to analyze manually, such as customer reviews or EU tenders.

Mission Cloud’s Scaling Your Generative AI on AWS, Consultation with an AI Specialist offers a free, 60-minute consultation with one of Mission Cloud's AI Specialists to help customers with their business needs, their usage patterns, UI design, model monitoring, QA, training and parameter validation.

Caylent’s Generative AI Knowledge Base Catalyst rapidly delivers business value by providing a natural language interface over institutional knowledge stores. Caylent’s extensive experience in creating ML models, automating ML operations, enterprise data strategy, data governance, and data operations makes us the go-to partner for all aspects of generative AI enablement and implementation.

Rackspace Technology’s FAIR Incubate Accelerator: Concept to Solution in 4 Weeks delivers a secure Generative AI Landing Zone, selection, adaption and alignment and optimization of a Foundation model and LLM-powered application with enough features to validate the architecture and business benefits.

Rackspace Technology’s FAIR Intelligent Co-Worker for the Enterprise (ICE) in 8 Weeks offers implementation of an AI chatbot on AWS in eight weeks using Amazon Bedrock and Amazon Q to generate fresh insights, enhance productivity, and facilitate improved customer outcomes.

Quantiphi’s Gen AI Advisory Series on AWS is a 4-day offering designed to equip businesses with comprehensive knowledge and practical expertise in Generative AI. Through interactive sessions, expert-led discussions, and hands-on labs, this series empowers participants to identify and prioritize use cases based on their organization's requirements, incorporating AI into their business strategy with the support of AWS Gen AI services and Quantiphi's expertise.

LTIMindtree’s Power of One Generative AI Adoption Accelerator Customers can embark on a transformative journey with LTIMindtree’s ""Power of One Generative AI Adoption Accelerator."" Specializing in swift Minimum Viable Product (MVP) launches, they showcase generative AI's potential across diverse domains. Their unique approach prioritizes rapid idea generation and business case development, ensuring a seamless transition from concept to tangible results. Focused on delivering maximum value, they align a singular use case with customer business objectives. Powered by LTIMindtree's cutting-edge Canvas.AI platform, their repeatable accelerated approach guarantees efficiency and consistency in every project phase.

TensorIoT’s Generative AI Proof of Value (POV) identifies high-impact use cases and rapidly evaluates foundational models using customer’s unique data set, demonstrating immediate value and ROI to stakeholders. Customers will realize a functional Proof of Value (POV) within a rapid 2-4 week timeframe, encompassing design, planning, solution development, testing, and handoff.

SoftServe’s GenerativeAI Readiness Assessment and Proof of Concept (POC) This assessment is designed to help software companies and enterprises alike find the best opportunities in Generative AI for their business, identify and manage associated risks, and conclude with a POC as a foundation for ongoing Generative AI strategy.

NorthBay Solutions’ Generative AI Design Workshop offers a comprehensive, collaborative experience focused on harnessing the power of AWS technologies for generative AI solutions. NorthBay’s team of certified AWS professionals will work closely with customers to conceptualize and design strategies and solutions that align with their generative AI goals.

Adastra’s Amazon Q Generative AI Assistant Deployment By integrating Amazon Q, companies can harness a generative AI assistant that not only understands their unique information code and system but also personalizes interactions based on user roles and permissions.

Loka’s GenAI Workshop with PoC where founders and technical leaders can get expert guidance and direction on using Large Language Models (LLMs) on AWS. The workshop will address vital areas, such as model selection and tuning, decisions between training new or using pre-trained models and hosting options including Sagemaker and AWS Bedrock.

Pariveda’s Generative AI Proof of Concept Accelerator is a fixed fee engagement to develop customer use case into a Generative AI proof of concept, leveraging Amazon Bedrock, in as little as 4 weeks.

Data Reply’s Generative AI Strategy and Proof of Value A short time-boxed consulting engagement to help customers with their generative AI strategy, roadmap and to help deliver an initial POC as a proof of value.

PREDICTif Solutions’ AWS GenAI Bedrock Proof-of-Concept (POC) by PREDICTif Solutions PREDICTif’s expert technical resources will demonstrate the capabilities of Amazon Bedrock and design a customized POC solution that aligns with customer business objectives.

Sela’s Generative AI Proof-of-Concept (POC) will help customers refine their requirements, get funding approved by AWS, and consult with their engineering team before committing to working with Sela. After building customer POC, Sela will work with them to get additional funding from AWS, further refine customer requirements, and scale their infrastructure as needed.

Flexa Cloud’s Flexa Cloud -Generative AI : Custom Language Model Training offers tailor-made AI solutions based on client's unique needs In-depth textual analysis leveraging their proprietary data. The service offers custom training of language models for advanced AI applications harnessing the power of AWS SageMaker and GPU machines for optimal results and expert consultancy to guide customers through AI adoption and integration thereby reducing in-house resource allocation to AI model development and enabling businesses to leverage AI for growth and decision making.

Tribe AI The GenAI Pilot: Streamlined AI Deployment with Tribe AI. will be focused on developing a POC which will allow the client to de-risk any further implementation. During this phase, Tribe AI will collaborate with the client to validate the application of generative AI for this use case, explore which foundation model is most appropriate, build a working prototype, refine the prototype to optimize results, and create a comprehensive product roadmap and implementation plan.

Redapt’s AWS Marketplace: Generative AI Value Discovery Jumpstart foundational models using Amazon SageMaker or through managed services like Amazon Bedrock. Explore high-impact opportunities and chart a clear path towards achieving advanced AI ambitions across a variety of industry sectors including Retail, Financial Services, Healthcare, Manufacturing, Media and Entertainment, Education, and State and Local Government.

Firemind’s Generative AI & Analytics Explore the future with Firemind’s advanced Generative AI capabilities. Their services include creating unique content and predictive models and are applicable in various areas such as creative industries, financial forecasting, and personalized customer experiences.

New Math Data’s GenAI Readiness Assessment and Proof of Concept (POC) will help customer teams assess AI models customized for their business and compliance requirements. This readiness assessment will give customers the roadmap and insight they need to build a high-level architecture. This is designed for the business stakeholders whose primary role is positioning their organization to keep up with the demands of today’s fast-paced technological advances. With this offering, customers can embark on their journey towards AI adoption with the guidance of the seasoned experts at New Math Data.

T-Systems Pathfinder GenAI POC on AWS by T-Systems allows customers to explore GenAI capabilities on AWS. Customers get access to pretrained Foundation Models and will be accompanied by certified AWS specialists to assess integration possibilities of GenAI into their current setups. T-Systems provides the end-to-end setup to artificial intelligence (AI) and machine learning (ML) services with a user-friendly interface through which customers’ own data can be uploaded.

Cloud303’s GenAI - Train your own LLM on AWS POC is a comprehensive package that includes a pre-configured infrastructure on AWS to enable customers to train and infer from a Large Language Model on AWS utilizing the customer’s own data. This solution streamlines the process of training and inference of an LLM by providing a standardized set of tools and frameworks on AWS.

Bespin Global’s Solutions Architecture Consultation on Demand offers a 45-minute focused discussion with a member of Bespin’s team of highly experienced AWS Certified Solutions Architects on Generative AI and how Gen AI can help customer’s business and how to prepare for the future.

Bespin Global’s GenAI Production Build is a custom professional services engagement for the design and build of customer’s production AI environment.

Bespin Global’s GenAI Quickstart POC Customers can design and build a GenAI Proof-of-Concept. Customers can choose their AWS GenAI platform, foundational model, and dataset(s), and Bespin’s team will create a POC environment trained on customer data.

Successive Digital’s Generative AI Proof-of-Concept is designed to quickly prototype Generative AI use cases to validate the use-case against viability, ROI, technical feasibility, and LLM model functionality and a way to showcase the value of Generative AI for customer’s business.

Ankercloud GmbH GenAI & LLMs - Proof of Concept on AWS is designed to give customers all the tools to start using the cloud to train and host LLMs and GenAI workloads. It includes the design of a complete solution and the deployment of a working sandbox environment on AWS which can be used for testing and benchmarking different server configurations or instance families.

ClearScale’s GenAI AppLink™ - Connect your applications to the expansive world of Language Learning Models (LLMs) with GenAI AppLink™, a service that effortlessly weaves GenAI workflows into your existing AWS environment.

DirMod’s Gen AI on Bedrock - POC Startup Pack This exclusive package offers 80 hours of dedicated service from a seasoned AWS Solutions Architect, who will meticulously design, build, and implement a tailored proof of concept using the cutting-edge GenAI services on AWS.

ZCLAP Inc’s Gen AI ZCLAP POC Silver Package is designed to bring innovation, agility, and scalability to customers in the realm of AWS Cloud through tailored solutions for AWS cloud, cost-effective innovation, rapid prototyping and feedback, risk mitigation in cloud adoption and support in AWS cloud management.

ABCloudz’s Designing SaaS Solutions with ABCloudz also ofeers expertise in AI development to infuse AWS AI/ML capabilities into SaaS solutions architectures. Integration with AWS suite of language models and AI services like AWS Bedrock, SageMaker, etc. enabling fine-tuning and Retrieval Augmented Generation (RAG) offers SaaS solutions the potential to evolve from conventional applications to intelligent, data-driven platforms.

West Loop Strategy’s Amazon Q - Free AI Assessment Amazon Q has been in preview and West Loop Strategy have been taking full advantage. They have built sophisticated apps that leverage this game changing technology and are ready to support their clients. This offering includes: Project Assessment, Use Cases, Data Discovery, Technical Architecture Deep Dive, Recommendations.

PMsquare’s Build your GenAI Business Solutions with Stability.AI Customers can start their GenAI journey by harnessing the power of Stability.AI’s generative AI models and PMsquare’s history of delivering purpose-built, business impact GenAI solutions on the AWS.

XenonStack’s Generative AI Solutions Unleash the power of Generative AI services on AWS, underpinned by cutting-edge foundation models and hosted on the most cost-effective cloud infrastructure. Redefine content creation, ideation, and application development to elevate productivity, enhance customer experiences, and propel your business into a new era of innovation.

Nuvalence’s Nuvalence Business Insight Engine - Powered by Amazon Comprehend Customers can create a competitive advantage with personalized, AI-powered conversations that are virtually indistinguishable from live agent interactions. Powered by Amazon Lex, Alexa, Comprehend, and Bedrock, Nuvalence’s GenAI Business Insight Engine extracts valuable insights from customer data and makes them available to their customers and workforce, 24/7.

Atolio - Deployment & Setup Atolio is how enterprises use LLMs to find answers privately and securely - they centralize all of the public and permissioned content to provide a private enterprise-wide generative AI chat experience using the set of knowledge each user has access to. Atolio is deployed entirely within customer’s Amazon VPC using Amazon EKS, Amazon Route 53, and Amazon S3.

Tech 42’s GenLink - A pre-built RAG solution that integrates with your Slack! pre-built solution allows businesses to quickly interact with their data using natural language. Built utilizing AWS Knowledge Base, Bedrock, and Pinecone, customers will be able to ask questions about data that lives in S3.

Nebulaworks’ GenAI Accelerator Nebulaworks, a pioneer in the DevOps and software engineering consultancy space, now leads the charge in accelerating the adoption of Generative AI (GenAI) tools within the AWS ecosystem. Their expertise in leveraging AWS tools like Amazon SageMaker, Bedrock and Kendra, positions them uniquely to empower businesses with advanced GenAI capabilities. With years of experience and a product engineering mindset, they are dedicated to building systems that drive innovation, efficiency, and personalized customer experiences. Their approach is rooted in sound computer science and software engineering fundamentals, aimed at enabling high-performing engineering teams to gain speed, consistency, and foster asynchronous collaboration.

ByteSource Technology Consulting’s AI-based Virtual Assistant - Consulting including POC lets customers dive deep into the capabilities of AI (GPT)-driven Virtual Assistant tailored for their business. ByteSource collaboratively outlines the steps and provide a proof-of-concept for customer’s use case.

Softweb Solutions’ Gen AI 360° Program: Go beyond the hype, unlock real AI value helps customers harness the true power of Generative AI. Customers can go beyond automation and unlock exponential value across their entire organization. From boosting creativity to streamlining processes, Softweb empowers customers to innovate faster and achieve real business results.

JBS Custom Software Solutions’ Generative AI Assessment and Quick Start POC for Retail Customers can explore the potential of generative AI for their retail business with a capabilities assessment and quick start POC demo tailored to them, from JBS Dev, a trusted AWS Retail Competency Partner and advanced AI/ML expert.

Previous articles are here: Part 1: Classification, Part 2: Foundation Models & Vector Databases, Part 3: LLMOps, Observability & Monitoring, and Security & Privacy tools, Part 4: Platform Offerings, Compute Services, Inference Endpoints & Pre-packaged offerings, Part 5: Healthcare & Life Sciences: Use Case Specific Generative AI Offerings, Part 6: Financial Services: Use Case Specific Generative AI Offerings, Part 7: Industry Specific Generative AI Offerings in AWS Marketplace, Part 8: Function Specific Generative AI Offerings in AWS Marketplace, Part 9: Modality Specific Generative AI Offerings in AWS Marketplace, Part 10: Domain Specific Generative AI Offerings in AWS Marketplace, Part 11: Getting Started & Technical Assessments, and Part 12: Ideation Workshops & Strategy.

Note: This list is current based on my review as of February 28th. If there are any PoC/MVP/scaling or implementation focused Generative AI professional services offerings that I have missed, feel free to mention those and I will make an update.