Tech & Engineering Stack
The right AI stack. Not the most expensive one.
We don't build around one AI provider, we build around your business, selecting the right technology for every task to balance intelligence, speed, privacy, scalability, and cost.
Cost-Optimized AI Engineering
The right tool for the right task
Before selecting any model we ask: does this task really require a large language model? If a lighter approach delivers the same result, we use it. That’s how AI grows your business, not your cloud bill.
Fixed-rule tasks, invoices, data movement, notifications. Traditional automation is faster and cheaper.
Classification, summaries, extraction, translation. Open-weight models deliver great results at low cost.
Reasoning, planning, complex conversations, code. Frontier models where they create measurable impact.
Our AI Stack
Every technology, chosen for the job it does best
Frontier Models
For advanced reasoning, planning, coding, and complex decisions, we work with leading commercial models.
Open-Weight & Self-Hosted
Deploy capable models privately for lower cost, better privacy, and greater control.
Fine-Tuned Models
Models optimized for your terminology, workflows, and documents, higher accuracy, lower cost.
Retrieval-Augmented Generation
AI that searches your own documents, SOPs, and data before answering, accurate and efficient.
AI Agents & Multi-Agent Systems
Specialized agents that collaborate to complete complex workflows reliably.
Workflow Automation
AI combined with automation to eliminate repetitive work while keeping infrastructure simple.
MCP & Custom Integrations
Secure integrations that let AI retrieve information and take action across your systems.
Cloud & Infrastructure
Scalable deployments across public cloud, hybrid, or private infrastructure to fit your needs.
How We Choose
We don’t ask “which model?” first
Every Agentiq Studios solution is engineered, not assembled. Only after answering these questions do we recommend a technology stack.
People also ask
AI models and infrastructure: FAQs
Which AI models do you use?+
We are model-agnostic and choose the best fit for each job, including Claude, GPT, Gemini, and open-weight models such as Llama, Mistral, Qwen, and DeepSeek. The right choice depends on accuracy needs, latency, privacy, and cost.
Can you run AI on our own infrastructure?+
Yes. When privacy, compliance, or cost require it, we deploy open-weight models on your own cloud or on-premise infrastructure so your data stays in your environment.
How do you decide between an open-weight model and a frontier model?+
We match the model to the task. Frontier models are used where top reasoning quality matters most; open-weight models are used where privacy, control, or cost efficiency win. Often we combine both in one system.
Will we get locked into one AI provider?+
No. We design systems with a model abstraction layer so you can switch providers or models without rebuilding, which protects you from price changes and vendor lock-in.
How do you keep AI operating costs low?+
We right-size models to each task, use retrieval and caching to cut token usage, and run cheaper open-weight models where they perform well. Cost efficiency is designed in from the start, not patched on later.
Ready to build smarter AI infrastructure?
Whether you're building your first AI system or scaling enterprise-wide automation, we'll help you choose the right technologies for performance, security, and long-term affordability.