AdeptivIQ builds on a carefully chosen ecosystem of cloud, model, and tooling partners — so every solution we deliver is grounded in proven, enterprise-grade technology.
We're vendor-pragmatic, not vendor-locked. Our partnerships give clients access to the leading platforms, frontier models, and developer tooling — combined with the engineering judgment to apply each one where it genuinely fits.
Certified relationships with the three major cloud providers — so we can architect on the platform that best fits your existing stack, compliance needs, and budget.
As a Microsoft Cloud Partner, AdeptivIQ delivers solutions across the Azure ecosystem — from data platforms and analytics to enterprise AI. Microsoft Azure provides a global, enterprise-grade cloud with deep services for data engineering, machine learning, and Azure OpenAI, all backed by the security and compliance posture large organizations require.
As an AWS Solution Provider, AdeptivIQ designs and operates workloads on the world's most widely adopted cloud platform. AWS offers an extensive catalog of services for data lakes, streaming, and machine learning — including Amazon Bedrock for foundation models and SageMaker for end-to-end ML — letting us build cost-efficient, highly available systems at any scale.
As a Google Cloud Partner, AdeptivIQ taps Google's strengths in analytics and AI. Google Cloud is known for BigQuery — a leading serverless data warehouse — and for Vertex AI, which brings model training, tuning, and the Gemini family of models into one managed platform. It's our go-to for analytics-heavy and AI-native workloads.
RunPod is a GPU cloud built specifically for AI workloads. It provides on-demand and reserved access to high-performance GPUs for training, fine-tuning, and serving models — often at a fraction of hyperscaler pricing. AdeptivIQ uses RunPod to run cost-effective model training and scalable inference for clients with intensive compute needs.
We work directly with the leading foundation-model labs — so clients get access to state-of-the-art capability, with the right model matched to each use case.
OpenAI is the research company behind the GPT family of models and the broader ChatGPT ecosystem. Its APIs power advanced reasoning, language understanding, code generation, and multimodal capabilities. AdeptivIQ integrates OpenAI models into conversational AI, agentic systems, and generative applications where leading general-purpose capability is the priority.
Anthropic is an AI safety company and the creator of Claude, a family of frontier models known for strong reasoning, long-context understanding, and a focus on reliable, steerable behavior. AdeptivIQ uses Claude where accuracy, nuanced instruction-following, and trustworthy outputs matter most — particularly for document intelligence and enterprise assistants.
Meta is the research organization behind Llama, a family of leading open-weight large language models. Because Llama models can be self-hosted and fine-tuned freely, they give organizations full control over their data, deployment environment, and costs. AdeptivIQ uses Llama where on-premise hosting, data sovereignty, or open customization are priorities.
DeepSeek is an AI research company known for highly capable, cost-efficient open models with strong reasoning and coding performance. Its models deliver frontier-class results at a fraction of typical inference cost. AdeptivIQ uses DeepSeek where teams need strong reasoning and code generation while keeping compute budgets lean.
Gemini is Google's family of natively multimodal frontier models, built to reason across text, images, audio, and video with very large context windows. Tightly integrated with Google Cloud, Gemini brings strong general capability and fast, scalable inference. AdeptivIQ uses Gemini where multimodal understanding, large-context processing, or close Google Cloud integration are priorities.
Modern AI-native development platforms help our engineers move faster — from first prototype to production — without compromising on quality.
Cursor is an AI-powered code editor that embeds large language models directly into the development workflow. It accelerates writing, refactoring, and understanding code through context-aware AI assistance. AdeptivIQ's engineering teams use Cursor to ship higher-quality code faster across client builds and internal product development.
Replit is a cloud development platform that lets teams build, prototype, and deploy applications entirely in the browser, with AI assistance built in. Its instant, collaborative environments are ideal for rapid prototyping and proof-of-concept work. AdeptivIQ uses Replit to stand up pilots and demos quickly, so clients can see and shape ideas early.
Claude Code is Anthropic's agentic coding tool. It lives in the terminal, reads an entire codebase, edits files, runs commands, and handles git workflows through natural-language instructions — and also integrates with VS Code, JetBrains, and GitHub. AdeptivIQ uses Claude Code where deep reasoning and end-to-end task execution matter most, from architecture work to production-grade implementation across an entire repository.
GitHub Copilot is an AI pair programmer that provides inline code suggestions and chat-based assistance directly inside the editor and across the GitHub workflow. Trained for broad language and framework coverage, it speeds up routine implementation, test writing, and code exploration. AdeptivIQ uses GitHub Copilot to keep day-to-day development efficient while engineers stay focused on design and review.
Our ecosystem isn't about reselling logos. It's about giving every client the right foundation for their problem — and the engineering judgment to choose well.
We match each cloud, model, and tool to your context — not to a sales quota.
Proven platforms and accelerators mean less time building plumbing, more time on outcomes.
Security, compliance, and reliability are inherited from best-in-class platforms.