Global engineering expansion enables faster delivery of production-grade AI systems for enterprise clients
Seattle, Washington, United States, March 25, 2026 -- DEV.co, a leading provider of custom software development services, today announced a significant expansion of its global engineering teams to support the growing demand for custom large language model (LLM) and artificial intelligence (AI) deployments. The expansion strengthens DEV.co’s ability to design, build, and scale production-ready AI systems for enterprise organizations seeking to move beyond experimentation and into real-world implementation.
As enterprises accelerate adoption of AI technologies, many are encountering a gap between early-stage prototypes and fully deployed systems. DEV.co’s expanded software development staffing initiative directly addresses this challenge, enabling clients to transition from proof-of-concept to scalable, secure, and integrated AI solutions.
“Enterprises are no longer experimenting with AI—they’re operationalizing it,” said Timothy Carter, Chief Revenue Officer of DEV.co. “What we’re seeing across the board is demand for real systems that plug into existing infrastructure, handle sensitive data, and deliver measurable outcomes. This expansion allows us to meet that demand with speed and precision.”
Bridging the Gap Between AI Concepts and Production Systems
While interest in AI has surged, many organizations remain constrained by limited internal engineering resources and a lack of specialized expertise in deploying LLM-driven applications. DEV.co’s expanded engineering capacity is designed to solve these constraints, providing access to experienced development teams capable of delivering end-to-end AI systems.
The company’s global engineering footprint—spanning teams in Europe and Asia—enables rapid deployment of dedicated or hybrid development teams tailored to each client’s needs. This model allows enterprises to scale engineering resources without the delays and overhead associated with internal hiring.
DEV.co’s work focuses on building production-grade systems rather than isolated experiments. This includes integrating AI capabilities directly into business workflows, ensuring systems are reliable, secure, and aligned with operational objectives.
In brief
DEV.co says it is increasing the size of its engineering teams in Europe and Asia to address enterprise demand for custom LLM and AI systems. The company describes the expansion as a way to help clients move from prototypes to operational applications that connect with existing infrastructure and handle sensitive information. Its services include private and commercial model deployments, retrieval-augmented generation, workflow automation, and full-stack AI development. DEV.co also cites work involving Python, vector databases, and cloud architecture, with an emphasis on AWS. The company says its teams support use cases in legal and compliance, marketing, mergers and acquisitions, and cybersecurity. Engagement options include dedicated teams, project-based builds, and staff augmentation.
Key takeaways
- DEV.co is expanding its engineering teams in Europe and Asia to support enterprise AI and LLM projects.
- The company offers services spanning model deployment, RAG, workflow automation, and full-stack AI engineering.
- Highlighted application areas include legal, marketing, mergers and acquisitions, and cybersecurity.
- Clients can engage dedicated teams, request project builds, or augment existing engineering staff.
Expanded Capabilities Across AI and LLM Development
The staffing expansion reinforces the expertise of LLM.co and DEV.co across a wide range of AI and LLM applications, including:
- Custom LLM Deployments: Implementation of both commercial and open-source models, including private LLM environments for organizations with strict data privacy requirements
- Retrieval-Augmented Generation (RAG): Development of systems that combine proprietary data sources with LLM outputs for more accurate, context-aware responses
- AI Workflow Automation: Design of agent-driven systems and orchestration layers to automate complex business processes
- Full-Stack AI Development: End-to-end engineering across backend infrastructure, APIs, user interfaces, and cloud deployment environments
In addition, DEV.co continues to expand its capabilities in Python-based AI development, vector database integration, and scalable cloud architectures, with a strong emphasis on AWS-based deployments.
Industry-Specific AI Applications
DEV.co’s expanded team is supporting AI deployments across multiple industries, with a focus on high-value, data-intensive use cases. These include:
- Legal and Compliance: AI-powered document analysis, contract review, and knowledge retrieval systems
- Marketing and SEO: Automated content generation, optimization workflows, and AI-driven analytics platforms
- Mergers and Acquisitions: Intelligent data room tools and financial document processing systems
- Cybersecurity: AI-assisted threat detection, analysis, and response automation
“The real opportunity is not in using AI tools—it’s in building systems that are tailored to your data and your workflows,” said Samuel Edwards, Chief Marketing Officer of DEV.co. “Most organizations don’t need another generic AI tool. They need infrastructure that gives them a competitive advantage. That’s where we focus.”
Execution-Focused Model Differentiates DEV.co
Unlike many AI-focused consultancies that emphasize strategy and advisory services, DEV.co is positioned as a technical execution partner. The company’s model prioritizes rapid development, system integration, and measurable outcomes.
DEV.co’s approach combines traditional software engineering discipline with AI-native development methodologies, enabling faster iteration cycles and more efficient delivery timelines. This includes leveraging modern frameworks, automation tools, and workflow orchestration platforms to accelerate deployment without sacrificing quality.
The company’s experience deploying AI systems across its own portfolio of businesses—including platforms in marketing, legal technology, and financial services—provides additional operational insight that informs client engagements.
Flexible Engagement Models for Enterprise Clients
To support a wide range of client needs, DEV.co offers flexible engagement structures, including:
- Dedicated AI development teams
- Project-based system builds
- Staff augmentation for existing engineering teams
This flexibility allows organizations to engage DEV.co at any stage of their AI journey, from initial system design to full-scale deployment and ongoing optimization.
Positioning for Long-Term AI Infrastructure Growth
The expansion reflects DEV.co’s broader strategy to position itself as a long-term partner for enterprise AI infrastructure development. As organizations continue to invest in proprietary AI systems, demand for specialized engineering talent is expected to increase.
By scaling its development capacity and deepening its AI expertise, DEV.co aims to meet this demand while maintaining a focus on execution, reliability, and business impact.
About DEV.co
DEV.co is a custom software development firm specializing in building scalable, enterprise-grade applications. With a global team of engineers and a focus on AI, LLM, and full-stack development, DEV.co helps organizations design, develop, and deploy technology solutions tailored to their unique business needs. The company supports clients across a range of industries, delivering high-performance systems that integrate seamlessly with existing infrastructure.
Contact Info:
Name: Samuel Edwards
Email: Send Email
Organization: PR Digital
Website: https://pr.digital
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Questions around this news
What AI and LLM development services does DEV.co say it offers?
The release describes custom deployments using commercial or open-source models, including private LLM environments; retrieval-augmented generation systems; AI workflow automation; and full-stack development covering backend infrastructure, APIs, user interfaces, and cloud deployment. It also cites Python-based AI development, vector database integration, and scalable cloud architecture, with an emphasis on AWS deployments.
How does DEV.co plan to help companies move AI projects into production?
The company says its expanded engineering teams can help clients integrate AI into existing business workflows and infrastructure, with attention to reliability, security, and operational objectives. It describes a global engineering footprint in Europe and Asia and offers dedicated or hybrid teams, project-based builds, and staff augmentation to support work from system design through deployment and optimization.
Which industries and use cases does DEV.co identify for its AI deployments?
The release highlights legal and compliance applications such as document analysis and contract review; marketing and SEO workflows such as content generation and analytics; mergers and acquisitions tools for data rooms and financial documents; and cybersecurity uses including threat detection and response automation.
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation is an approach that retrieves relevant information from an external source, such as a document collection, and supplies it to a language model when generating a response. This can help ground answers in material relevant to a task rather than relying only on information encoded in the model.
What does staff augmentation mean in software development?
Staff augmentation is a way to add external specialists to an organization’s existing team for a project or period of work. The added professionals typically contribute to the client’s engineering activities and processes, rather than delivering a wholly separate project team or finished system.
