Early adopters are slashing release cycles by 50 % and adding round-the-clock revenue with agentic AI — learn how you can, too.
From document, audio, and image analysis to vector RAG, graph RAG, multimodal parsing, and real-time anomaly detection — we weave every proven agent pattern into one cohesive, production-ready workflow.
Get StartedYou stay in control. We build AI solutions that run on your cloud environment (AWS, Azure, Google Cloud, or any cloud of your choice) or on-prem, ensuring data privacy, sovereignty, and seamless integration with your systems.
Get StartedOur team has built and deployed AI at scale—across industries and platforms. We bring real-world experience to help you move from idea to impact faster.
Get StartedThree ways our agentic-AI teams create value in the first 90 days.
Plug our fractional squad into your repo and get a production-ready autonomous agent — planning, orchestration, eval, and guardrails —in one sprint. Clients slash release cycles by ↘ 55 % and skip $100K+ in up-front hiring costs.
Skip the year-long talent hunt and the $100K+ annual payroll it demands. Our embedded, on-demand AI squad plugs into your stack for the exact sprint you need, then rolls off — no bench, benefits, or visa overheads. Clients slash engineering OPEX by up to 70 % in the first quarter.
Deploy a 24/7, persona-aware sales agent that greets visitors, qualifies intent, answers objections, and hands warm prospects straight to your CRM. Clients see 2× demo bookings and shave 25 % off CAC within the first quarter — without adding a single SDR.
Your data. Your cloud infrastructure. Your chosen AI models. Our AI modules integrated with your product stack, store, or platform. For data-driven text generation, image generation and more.
What the best in the AI business have to say about Superteams.
Great team of experts, highly available, accommodate (almost) all requests, and deliver quality content consistently. Very receptive to feedback.
By far, the team at Superteams is the most dynamic and deeply technical AI team I have come across. They are constantly on the bleeding edge of this fast changing GenAI space. They did some quick prototypes for us which helped us enhance the AI capability in our sustainability platform. They also do a fantastic job of aligning us from an investment perspective.
Superteams is very professional and reliable. They always properly research topics and execute the project with personal care. I would always recommend them!
Learn more about our platform and our approach to building fractional AI teams.
Agentic AI systems don’t just retrieve answers — they plan, decide, and act on your behalf across multiple steps. They chain skills such as document parsing, vector/graph RAG, multimodal reasoning, API calls, and tooling control to complete end-to-end jobs (e.g., draft a report, trigger a ticket, schedule a follow-up). Think of them as task-specific coworkers rather than static Q&A bots.
Clients typically see one of three wins: (a) a production-ready autonomous agent shipped inside 30 days, cutting feature lead-time by ~55 %; (b) 35–40 % L1 support-ticket deflection through a agentic AI-powered assistant; or (c) 2× qualified demo bookings and ~25 % lower CAC via an agentic lead assistant.
A fixed-scope sprint gives you: architecture doc, agent orchestration graph, prompt & guard-rail library, eval harness + dashboards, terraform/k8s deployment scripts, and a staging-to-prod hand-off. Weekly demos and cadence calls keep you in the loop.
We’re model-agnostic. OpenAI, Anthropic, open-weights (Gemma-3, Llama-4, Qwen-3, DeepSeek-R1), or on-prem custom LoRA fine-tuned models. Orchestration via LangGraph / Pydantic AI / FlightDeck, vector stores in Qdrant or pgvector, or timeseries databases, or analytics engines like Clickhouse, graph databases in Neo4j or FalkorDB, and MLOps with FastAPI + Docker/K8s.
Yes. All infra runs inside your AWS, Azure, GCP, or on-prem Kubernetes. We never pipe data through our servers, and everything stays within your VPC / private subnet for full sovereignty and compliance.
Fast-moving verticals with data-rich workflows — Aggregators, Marketplaces, SaaS, E-commerce, Fintech, Healthcare ops (non-clinical), Ed-tech, and Real-Estate — gain the quickest. But any team drowning in repetitive knowledge tasks or serving B2C customers can benefit.
You rent a cross-functional “pod” (AI architect, 1–2 LLM engineers, MLOps/DevOps, and a PM) in 2-week increments. We plug into your Slack, Git, and weekly stand-ups, operate as an embedded team, and ramp down the moment the KPIs are hit.