CUSTOM AI INTEGRATION SERVICES
We integrate AI into your existing systems and workflows — from LLM-powered assistants and document automation to third-party AI APIs and custom model deployments.
No rip-and-replace, just smart integration.
Projects delivered
Weeks to kickoff
Years in business
What We Integrate
Whether you’re adding conversational AI to your product, automating document workflows, or deploying a private language model — we connect the right AI tools to the right parts of your system. Clean, secure, and built to last.
AI Assistant & Chatbot Integration
OpenAI, Claude, Gemini
Document & Data Processing
OCR, extraction, classification
Third-Party AI API Integration
Perplexity, Whisper, Vision APIs
Workflow & Process Automation
Trigger-based AI actions
Custom Model Deployment
Private LLMs, on-premise models
Legacy System AI Augmentation
Adding AI to existing software
How We Work — And Why It Matters
Every integration is designed to fit your existing systems, not replace them — from classic machine learning to today's LLM-based solutions.
AI-First, System-Aware
We design integrations that respect your existing architecture. No vendor lock-in, no unnecessary rewrites.
Real AI Experience Since 2019
We have delivered AI projects since 2019, from early machine learning integrations to today's LLM-based systems.
Secure & Compliant Deployments
Whether cloud, hybrid, or on-premise private models — we handle data governance and security from day one.
End-to-End Delivery
We don't just connect an API. We design, build, test, document, and support your AI integration over the long term.
Sound like the right partner?
Technologies We Use
From model selection and API integration to private deployments and RAG pipelines — we cover the full AI integration stack.
LLMs & Models
OpenAI's flagship language model family, powering ChatGPT and general-purpose text, code, and reasoning tasks.
Anthropic's model family, built with a safety-first approach for reasoning, coding, and long-context work.
Google DeepMind's multimodal model family, integrated across Search, Workspace, and Google Cloud.
Meta's open-weight model family, built for self-hosting, fine-tuning, and flexible deployment.
Frameworks
A framework for building applications with large language models, from prompt chains to agents.
A data framework for connecting LLMs to your own files, databases, and APIs to build retrieval-augmented applications.
Microsoft's open-source SDK for integrating large language models into .NET and Python applications.
AI APIs
The company behind GPT and ChatGPT, offering an API platform for building custom applications on its models.
The company behind Claude, focused on building reliable, interpretable, safety-first frontier AI systems.
Microsoft's enterprise offering of OpenAI's models, hosted on Azure with added compliance and governance controls.
Google Cloud's unified ML platform for building, training, and deploying models — including Gemini — with MLOps tooling.
Backend
Microsoft's open-source, cross-platform platform for building web, cloud, desktop, and mobile applications.
A JavaScript runtime for building fast, scalable server-side applications and APIs.
A general-purpose programming language known for readable code and a large ecosystem of libraries.
Cloud
Microsoft's cloud platform, providing compute, storage, databases, and managed services for business applications.
Amazon's cloud platform, offering a broad range of compute, storage, database, and managed services.
Google's cloud platform for running applications, storing data, and using managed analytics and AI services.
The People Behind
Engineers, architects, and delivery managers with hands-on experience across AI integration, custom development, and enterprise systems — ready to make your project work.
