Superteams embeds AI-savvy engineering and MLOps teams to help you launch production-grade AI products or streamline your internal workflows — in weeks, not years.
Custom RAG, semantic enterprise search, and deep document intelligence.
ExploreReal-time voice agents, conversational IVR, and sovereign telephony stacks.
ExploreSemantic search, personalization engines, in-product co-pilots, and multi-tenant workflows.
ExploreInvoice parsing, ledger reconciliation, and cloud spend anomaly checks.
ExploreAutonomous multi-agent systems, task executors, and self-correcting loops.
Explore
We bypass recruitment cycles to deploy fully operational, elite AI teams aligned directly with your engineering stack in days.
Share your goals, scope, and timeline securely. We sign a mutual NDA immediately to safeguard your intellectual property, data access protocols, and trade secrets before any deep technical discussions begin.
Our senior AI architects consult with your engineering leaders. Together, we outline the model choices (LLMs, custom SLMs, RAG structures), data pipeline requirements, infrastructure constraints, and determine the exact technical skillsets required for your team.
We match your blueprint with domain specialists from our vetted network. We pull together engineers with direct experience in voice agents, vector embeddings, fine-tuning, or specific MLOps pipelines. We assemble your custom team in days, not months.
Your fractional AI team embeds directly into your workflow (Slack, GitHub, Jira). We assign a Senior PM to lead sprints, host cadence calls, manage deliverables, and ensure frictionless communication, giving you direct R&D execution without management overhead.
Every single line of code, custom model weights, architectural schema, database indexing script, and documentation stays in your repositories. You own all IP from day one, and we provide clean handovers so your internal team can scale the solution permanently.
Skip the hiring overhead. We embed an elite, specialized team to build, scale, and transfer your GenAI and retrieval pipelines.
Fine-tunes open-weight models, designs hybrid retrieval architectures, parses domain taxonomies, and optimizes prompt-instruction chains.
Deploys GPU-accelerated cloud nodes, sets up distributed database indexing, configures low-latency caches, and builds dockerized execution pipelines.
Integrates APIs, builds resilient data parsing and sync queues, handles context formatting, and connects telemetry/observability loops.
Skip recruitment delays and management overhead. Deploy vetted, specialized AI teams focused entirely on shipping your product.
Hiring senior AI and ML engineers is exceptionally difficult, slow, and expensive. Skip the 18-month hiring overhead and deploy fully operational engineering teams immediately, shrinking your time-to-market from years to weeks.
Work with engineers who have built and scaled production-grade AI systems. Our teams have deep experience managing vector search, model fine-tuning, complex agent coordination, and the complete MLOps / DevOps infrastructure stack.
Building a full in-house AI vertical requires massive investment. We source, vet, and project-manage dedicated AI engineers, delivering fractional efficiency and senior management oversight at a fraction of the cost.
The AI landscape evolves weekly. Our fractional network is research-first, keeping pace with the latest models, academic papers, and architectural patterns. We translate state-of-the-art AI into commercial software assets.
Six capability pillars — each one you can engage on independently, or we build the whole stack together.
RAG · Vector DBs · Enterprise Search
Production RAG systems that actually work — semantic search, hybrid retrieval, reranking, and knowledge graph integration. Built for your data, not a demo.
Agentic Workflows · Copilots · Orchestration
Purpose-built AI agents that integrate with your systems. Sales assistants, internal copilots, autonomous process automation — grounded in your data, guardrailed for production.
Fine-tuning · Evals · Private Deployment
From model selection to fine-tuning and private deployment. We help you choose the right foundation, adapt it to your domain, and serve it reliably without blowing your inference budget.
Monitoring · Cost Control · Compliance
Ship AI with confidence. Latency monitoring, cost tracking, drift detection, and evaluation harnesses that let you iterate fast without flying blind.
ASR · TTS · Conversational Agents
End-to-end voice AI systems — from real-time transcription and speaker diarization to natural-sounding synthesis and fully conversational voice agents. Built for production latency and accuracy.
Detection · OCR · Multimodal Understanding
Computer vision and multimodal AI for real-world products — object detection, document intelligence, image-to-insight pipelines, and vision-language models grounded in your use case.
Not sure where to start? Our AI Stack Audit maps it out for you →
Not prototypes or pilots — complete systems built end-to-end, handed off to clients, and running across seven verticals.
Multi-platform AI storage with bidirectional sync, cloud integration, Windows/iOS/Linux apps, and org-level RBAC — launched as a complete product from scratch.
Real-time voice AI connected to user databases — accessible via telephone and click-to-call with modern TTS/STT.
Connects four major accounting systems and surfaces CFO-level AI queries, auto-reconciliation, invoice parsing, bank statement sync — all with a zero-day close goal.
Measures emissions directly from invoices, auto-generates compliance reports, and surfaces AI-driven sustainability recommendations.
Connect a database or document store and use open-source or platform models to generate sites, reports, and decks — plus advanced agents for CRM and support.
Users select a set of property images and the agent orchestrates them into a polished listing tour video — ready to publish.
A full-stack AI broker — finds matching properties, generates structured comparisons, enables shortlisting and booking — entirely through text and voice chat.
Start where you are. Every engagement is scoped to your stage, team, and goals — no forced packages.
A sharp, actionable assessment of your current AI architecture, gaps, and the highest-leverage things to build next.
Best for teams unsure where to start or wanting an outside view before committing.
Get an AuditYour dedicated Superteam — researchers, engineers, PM — embedded directly into your workflow. Builds, ships, and transfers.
Best for companies actively building AI and needing research-grade execution fast.
Book a Strategy CallStrategy + build + transfer. For companies going from AI-curious to AI-native. We build your stack and upskill your people.
Best for companies making a serious long-term investment in proprietary AI.
Let's scope itAll engagements include full IP ownership, documentation, and a dedicated Slack channel. Questions? Email us directly.
From AI infrastructure companies to SaaS startups — in their own words.
"Superteams actually understands the technology. That's genuinely rare. They come in, read the room, and produce work that holds up to scrutiny from our engineering team."
"The technical depth they bring is what sets them apart. I have worked with agencies before — Superteams is operating at a completely different level."
"Professionalism throughout. They could articulate our product better than most people on our own team. That says a lot."
"Superteams is understanding and quick to pivot in their approach to a solution if they feel that the first approach is not working. Overall, a very supportive company to work with."
Three of our recent builds — full-stack AI products shipped end-to-end, across finance, infrastructure, and real estate.
A client needed a complete AI-powered storage platform — connecting devices, cloud, and mobile with bidirectional sync, multi-OS clients (Windows installer, iOS app, Linux ISO), and enterprise RBAC. We embedded, scoped, and shipped the full product in four months: zero to production across every platform simultaneously.
A financial platform needed AI that could connect to all four dominant accounting systems and give every stakeholder — from CFO to accountant — natural-language query access, automatic reconciliation, invoice parsing, and bank statement sync back to source. Goal: zero-day close. We built the full data pipeline and AI layer from the ground up.
A real estate platform wanted users to engage with an AI that could act as a full broker — not just a search box. We built a conversational system that accepts text and voice input, queries live property databases, generates side-by-side comparisons, lets users shortlist, and completes bookings — all within the same chat session.
Book a 30-minute strategy call. We will map out your AI opportunities, identify the highest-leverage starting point, and tell you exactly what an engagement looks like — no fluff, no obligation.
Usually responds within 24 hours
