Superteams.ai helps you integrate cutting-edge AI features into your product, without the overhead of hiring or training.
From agentic assistants powered by MCP and A2A to LLM/LRM-based chatbots and multimodal AI systems, we help you ship AI, fast.
Your data. Your models. Your infrastructure.
Superteams.ai builds fully custom, sovereign AI systems tailored to your SaaS product, so you retain control over your data, models, and IP.
Power AI with your data, and improve user experience through agentic AI chatbots and AI assistants. Track user persona, and improve your chatbot behavior.
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Whether you're using a custom backend, a modern CMS, or a legacy system, our AI APIs, agents using Model Context Protocol, and custom ingestion workflows make embedding AI effortless.
Get StartedWe deploy on your terms.
Run AI assistants, vector databases, and orchestration layers inside your:
AWS / Azure / GCP accounts
Private Kubernetes clusters
DigitalOcean / Render / Bare Metal
We set up GPU-ready nodes, configure autoscaling, and help you monitor performance via Prometheus, Grafana, and Loki.
Learn more about our approach to building climate solutions.
Modern AI is powered by vector search, advanced RAG patterns, LLMs and LRMs, intelligent chatbots, and agentic AI assistants. Our team has extensively worked in the engineering approach that such systems require. We help you understand the modern AI workflow, build AI systems fast, help you deploy them on your infrastructure, and then train your team to carry it forward.
Our sovereign AI solutions run entirely within your chosen infrastructure, whether on-premises or your preferred cloud environment. This ensures your data never leaves your controlled environment while still accessing powerful AI capabilities, maintaining complete compliance and security.
Data sovereignty is a primary requirement for many compliance-heavy industries, such as BFSI, Healthcare and Legal. If your system has sensitive customer data, you probably should use AI that works on your cloud infrastructure - and we help you build that.
Absolutely. We will provide you APIs or GraphQL query layers, or SDKs that you can easily integrate with your existing SaaS architecture.
Our key approach is to dive into your data, structure it in a format that works for modern retrieval systems (like Vector Search or Knowledge Graph or Text-to-SQL), build ingestion pipelines, and then create APIs or SDKs that easily work with your existing systems.
In essence, you end up dropping an AI feature to your customers within 4-8 weeks without the effort of hiring, training, experimentation, and get a ton of knowhow in the process.
We are an extremely R&D heavy team, and constantly track and build using modern AI. Our agility means that you are tapping into a pool of experienced AI/ML builders who have deep knowledge of computer science, cloud infrastructure, data science and MLOps/DevOps. This enables you to leverage the cutting-edge AI without the cost of building a team.
