The growth of generative artificial intelligence (AI) has been accelerating tremendously over the past couple of years. However, learning how to properly select the right partner for implementing your solution continues to be challenging. To establish the following list, we utilized a transparent, trust-first methodology.
Based on our research, we have evaluated more than 70 AI and software engineering firms throughout the globe. To validate each organization’s capabilities, we utilized several methods, including:
- Cross-referencing publicly available resources (Clutch, website content, certification registries, and multiple analyst reports).
- Reaching out to impartial third-party AI architects, ML engineers, and CTO subject matter experts working within generative AI delivery industry verticals.
The following characteristics were considered when selecting an organization for inclusion in our list:
- Proven experience within the realm of generative AI system integration.
- Secure, production-ready architecture.
- Industry-specific experience.
- Confirmed client feedback and level of operating maturity.
Leading Generative AI System Integrators
- Cleveroad
- Thoughtworks
- Globant
- Capgemini
- Cognizant
- Deloitte
- PwC
- Infosys
- Slalom
- BCG X
Cleveroad
Cleveroad is a generative AI development services company and a full-cycle generative AI system integrator specializing in secure, enterprise-grade AI solutions. Cleveroad has worked with clients to develop generative AI technologies, including AI copilots, generative AI (RAG)-based knowledge assistants, chatbots, document processing systems, and predictive analytics platforms.
Cleveroad is able to work with a wide range of technologies to provide clients with numerous options for successfully integrating generative AI into existing systems. Clients work with Cleveroad’s technical team that has an in-depth understanding of OpenAI, Azure OpenAI Service, AWS Bedrock, LangChain, vector databases, and MLOps pipeline practices, and are able to effectively integrate generative AI into a client’s current technology stack.
Cleveroad is ISO certified (ISO 9001 and ISO 27001) and has received 77 reviews on Clutch, with a 4.9 out of five average rating. This reinforces Cleveroad’s commitment to delivering quality services and is in line with building long-term relationships with clients through reliability and trust.
Thoughtworks
Thoughtworks is recognized for its advanced engineering capabilities as well as for transforming businesses digitally at a large scale. With regards to generative AI, the organization has an emphasis on integrating LLMs into complex systems using appropriate data infrastructure, AI governance methodologies, and modern software architecture.
These teams build use cases called AI Copilots, or systems that provide decision-making assistance and/or augment customer-facing experiences with AI to help enterprises transition from pilot projects onto production.
Thoughtworks also has a strong commitment to creating responsible AI applications that are both transparent and maintainable.
Industry analysts cite the company often and view it as a thought leader with respect to modern engineering methodologies as well as the ethical adoption of AI.
Globant
Generative AI is an important aspect of Globant’s digital transformation solutions, as evidenced by the dedicated AI Studios within the company. Through these AI Studios, Globant provides clients with varied offerings such as personalized content engines, conversational AI platforms, content generation solutions, and enterprise copilot applications, at a global scale.
Globant’s unique combination of AI engineering, cloud computing platforms, and user experience design allows for seamless deployment of generative AI solutions across both customer-facing and internal systems. As a result of this Strength, many of the global organizations Globant serves are geographically distributed with rapid expansion potential across multiple geographic regions.
Given its position as a publicly traded entity, Forbes magazine publishes numerous articles about Globant and Gartner identifies many new projects by Globant (evidence of both reputation and maturity) as a major global provider of integrated applications using AI.
Capgemini
Capgemini has decades of Enterprise Consulting experience that will support the adoption of Generative AI within large-massive regulated environments and will provide its customers with a focus on secure AI deployments while meeting compliance, governance, and operational resiliency needs.
The service suite provided by Capgemini includes LLM integration, Intelligent Automation, Data modernisation and AI-enhanced analytics in conjunction with longstanding partnerships to major cloud providers; Capgemini has a strong focus on AI risk management and responsible deployment frameworks.
Capgemini has received multiple International Certifications and has consistently received accolades from Global Analysts for its Technology and Consulting capabilities.
Cognizant
Cognizant is utilizing generative AI technology in order to create new ways for businesses to operate through process automation, document intelligence, and an AI Digital Advisor tailored specifically to your business’s industry. Combining GenAI technologies along with industry-specific expertise, particularly in healthcare as well as financial services, enables the company to have a unique advantage.
Cognizant is able to provide complete solutions from data preparation to overall model selection to deployment of that model to continuous improvement on those deployed models, giving you maximum value from your AI investment and not just one-off AI implementations.
Cognizant is consistently recognized by both Fortune and Gartner at the high end of their analyses and has stringent security and compliance measures in place in all of its global delivery facilities.
Deloitte
Deloitte incorporates generative artificial intelligence within large-scale organization transformation projects with an emphasis on governance, compliance, and risk management. Its work with generative artificial intelligence also supports the development of generative artificial intelligence in heavily regulated industries & critical operations.
Deloitte provides capabilities such as Large Language Model orchestration; governance frameworks for artificial intelligence; secure cloud-based platforms for artificial intelligence; and enterprise integration, which assist organizations in scaling generative artificial intelligence safely.
Deloitte is continually named one of the premier professional services firms globally and has multiple security, privacy, and quality management certifications.
PwC
PwC’s perspective on generative AI is informed by enterprise trust and the evolution of how businesses transform themselves by integrating GenAI into their existing processes. The company assists clients with implementing genAI into key business processes while providing assistance with the legal, ethical, and operational issues associated with the implementation of genAI.
PwC’s teams develop AI strategies, internal copilots, AI architectures compliant with regulatory requirements, and large-scale programs to implement genAI at major companies, including those in finance, government, and energy.
As a leader in advisory services, PwC has a long history of providing expert guidance and publishing impactful research and methodologies regarding both the governance of AI and responsible innovation.
Infosys
Infosys provides Generative AI efficiently through proprietary accelerators and enterprise AI platforms. They specialize in AI-driven automation, assisting users with knowledge tools and enhancing outdated systems across international organizations.
Establishing a more sustainable model for long-term generative AI usage is possible via significant investment in Data Engineering, CloudAI, and MLOps at Infosys as opposed to merely conducting temporary experiments.
Based on ISO certification, infrequent analysis of delivery to global enterprises of technological IT methods has established the ecosystem created by Infosys as successful at providing these services.
Slalom
Together with its industry-leading cloud partnerships, Slalom has developed practical approaches to apply generative AI within organisations to derive measurable benefits from its use. Slalom’s generative AI consultants concentrate on the following three areas of development: AI Copilots, Workflow Automation, and AI Assistive Technologies for Report Creation.
By leveraging existing enterprise systems, Slalom’s success is evident through high customer satisfaction rates and a dedication to delivering solutions that exceed customer expectations.
BCG X
With its tech-build and AI capabilities, BCG X focuses on developing and implementing cutting-edge AI technologies and products, such as generative AI and autonomous agents. The teams combine the best of AI research, engineering, and enterprise strategy to create new solutions that allow organizations to use advanced AI systems without significant disruption.
For generative AI projects, BCG X creates decision systems using LLMs, AI agents, and enterprise-grade AI platforms that are tightly integrated within the broader business environment. Their projects typically include implementing novel models for orchestration, constructing complex data pipelines, and developing cloud-native infrastructure.
As BCG’s global brand continues to gain traction, BCG X will be positioned as an increasingly valuable contributor to large-scale, high-impact, mission-critical GenAI programs that require governance, compliance, and strategic alignment to succeed.
How to Choose a Generative AI System Integrator
Finding an AI system integrator goes beyond the typical methods of comparing portfolios and price. Because the solutions delivered via GenAI typically touch sensitive data and/or core business processes, the partner chosen needs to provide technical maturity and operational dependability.
In addition to demonstrating production experience (as opposed to experimentation), reliable vendors should be able to show production examples of AI Co-pilots, RAG-based assistant and/or document intelligence systems. Data Security and compliance remain a high priority, especially when working with proprietary and/or regulated data.
Equally as important is the ability to integrate Generative AI systems into existing systems as opposed to providing stand-alone tools. Having experience specific to the industry helps to ensure that models, prompts and workflows will align with the actual needs of the business. Finally, look for a partner that has a transparent development process and will provide ongoing support, as Generative AI systems require continuous optimization in order to sustain accuracy, security and cost-effectiveness.
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