We act as your extended AI development team. We deliver machine learning, model integration, automation. We follow ethical standards, performance, cost efficiency.
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Staff augmentation & team extension
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Model & API development
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Automation & workflow integration
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Performance & scalability optimization
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Quality, security & compliance oversight

Outsourcing AI development to Dev, in means getting senior engineers who integrate directly with your team and workflows. We don't just deliver code — we become part of your product development process.
We start by understanding your goals and constraints. Together, we define clear success metrics and review your existing AI infrastructure, models, and data pipelines. You get realistic estimates for timeline, budget, and technical risks upfront.
Our team brings the exact expertise you need: ML engineers for model development, backend developers for API integration, and deployment specialists for production systems. We build what makes sense for your use case — from simple LLM integrations using OpenAI or Anthropic APIs to custom-trained models when off-the-shelf solutions won't cut it.
We handle the full implementation: building robust APIs, creating SDKs for your team, and ensuring everything integrates smoothly with your existing systems. Performance monitoring, security reviews, and automated testing are built in from day one.
Throughout the project, we maintain transparency with regular progress updates and cost tracking. When requirements change — and they always do — we adapt quickly and communicate the impact clearly. No surprises, no hidden costs, just predictable delivery of AI capabilities that actually work in production.
Onboarding plan defining roles, access, communication
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Scope document with deliverables, timeline, budget
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Model development or adaptation with evaluation metrics
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API or integration modules ready for your system
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Performance tests under load, latency profiles
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Automation pipelines or workflow tools as required
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Monitoring and logging infrastructure setup
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