R&D-First AI Teams

Build your AI stack. Own the advantage.

Superteams embeds elite AI researchers and engineers directly into your team — so you ship production-grade AI without the 18-month hiring cycle.

55% Faster release cycles
30 days From kickoff to prod
$100K+ Avg. hiring cost saved
Conversion uplift

Trusted by fast-moving teams in AI infrastructure, SaaS & deep tech

Qdrant
Timescale
FalkorDB
E2E Networks
Astria
Bevolve
TryThat.ai
Awareye
ALtrr
Qdrant
Timescale
FalkorDB
E2E Networks
Astria
Bevolve
TryThat.ai
Awareye
ALtrr
Backed & supported by
AWS Activate
Google Cloud
Microsoft for Startups
Point One Capital
The Problem

Enterprise AI stalls.
Yours does not have to.

Most companies trying to build serious AI capability run into the same three walls. We are built to knock all three down.

01

18 months to hire

A senior ML engineer takes 6 months to source and another year to onboard into your stack. Your roadmap cannot wait.

02

Generic tools create lock-in

Stitching together off-the-shelf AI APIs is fast until it is not. Vendor dependency, cost spikes, zero differentiation.

03

Agencies ship demos, not systems

Most AI shops hand you a prototype and disappear. No architecture ownership, no knowledge transfer, no internal capacity built.

Superteams is the alternative. An embedded, R&D-first team that moves at your speed, builds to your architecture, and leaves your org stronger — not dependent.

How It Works

Not outsourcing.
Embedded.

Three phases. One continuous loop. Your AI stack gets built while your team grows alongside it.

01 Embed

We join your team, not a client list

Your dedicated Superteam — researchers, engineers, product builders — integrates into your existing workflow. Slack, standups, your stack. Not a vendor relationship. An extension of your org.

Kickoff in 72 hours. No procurement overhead.
02 Build

Research-grade engineering, production-ready delivery

We do not just implement — we think. Every architectural decision is grounded in current research. RAG pipelines, fine-tuned models, agent orchestration, MLOps — built to your requirements, not a template.

You own all IP. Full documentation, always.
03 Transfer

Leave you stronger, not dependent

Every engagement ends with your internal team owning what was built. Code, docs, architecture decisions, evaluation frameworks — we train your people and hand over the keys so you compound on the work.

Knowledge transfer is built into every sprint.
Why it is different

R&D-first means we make the right bets

Most engineering teams know how to build. We know what to build — and why. Our team stays current with research so you do not have to.

Typical agency Superteams
Engineers only Researchers + Engineers
Template-first Architecture-first
You own nothing You own everything
Handoff & disappear Embedded & transfers
See engagement options
What We Build

The full AI stack,
engineered end-to-end.

Four capability pillars — each one you can engage on independently, or we build the whole stack together.

Knowledge & Retrieval

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.

  • Multi-modal document ingestion
  • Hybrid BM25 + vector search
  • Query routing & reranking
  • Evaluation-driven iteration
View solution

AI Agents & Automation

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.

  • Multi-agent orchestration
  • Tool use & function calling
  • Memory & state management
  • Human-in-the-loop design
View solution

Model Layer

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.

  • Domain-specific fine-tuning
  • RLHF & RLAIF pipelines
  • Model distillation & quantization
  • Private cloud deployment
View solution

MLOps & Observability

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.

  • LLM observability & tracing
  • Automated eval pipelines
  • Cost & token optimization
  • Compliance-ready logging
View solution

Not sure where to start? Our AI Stack Audit maps it out for you →

Products Shipped

Seven full-stack AI products.
Running in production.

Not prototypes or pilots — complete systems built end-to-end, handed off to clients, and running across seven verticals.

Storage & Infrastructure

AI-Powered Storage Platform

Multi-platform AI storage with bidirectional sync, cloud integration, Windows/iOS/Linux apps, and org-level RBAC — launched as a complete product from scratch.

4 months brief to production
Voice AI <500ms

Low-Latency Voice Agent

Real-time voice AI connected to user databases — accessible via telephone and click-to-call with modern TTS/STT.

FinTech · Accounting AI

Financial AI Platform

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.

4 ERPs natively integrated
ESG & Climate 50+

AI-Powered ESG Platform

Measures emissions directly from invoices, auto-generates compliance reports, and surfaces AI-driven sustainability recommendations.

Builder AI Open + SaaS

Builder AI Platform

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.

Real Estate · Generative AI Agent-assembled

Image-to-Video Tour Generator

Users select a set of property images and the agent orchestrates them into a polished listing tour video — ready to publish.

Real Estate · Conversational AI Text + Voice

AI Real Estate Broker Platform

A full-stack AI broker — finds matching properties, generates structured comparisons, enables shortlisting and booking — entirely through text and voice chat.

Engagement Options

Three ways to
work with us.

Start where you are. Every engagement is scoped to your stage, team, and goals — no forced packages.

Start here.

AI Stack Audit

Fixed fee · 2 weeks

A sharp, actionable assessment of your current AI architecture, gaps, and the highest-leverage things to build next.

  • Architecture review & gap analysis
  • Model & tooling recommendations
  • Prioritised 90-day AI roadmap
  • Team capability assessment
  • Written report + 60-min debrief

Best for teams unsure where to start or wanting an outside view before committing.

Get an Audit
End-to-end.

AI Transformation

Project-based · Scoped together

Strategy + build + transfer. For companies going from AI-curious to AI-native. We build your stack and upskill your people.

  • Everything in Embedded R&D Team
  • AI strategy & roadmap workshop
  • Team training & upskilling
  • Custom eval & observability setup
  • Hiring advisory for your AI org

Best for companies making a serious long-term investment in proprietary AI.

Let's scope it

All engagements include full IP ownership, documentation, and a dedicated Slack channel.   Questions? Email us directly.

What Teams Say

Don't take our word for it.

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."

Dan Shalev
Dan Shalev Co-founder, FalkorDB

"The technical depth they bring is what sets them apart. I have worked with agencies before — Superteams is operating at a completely different level."

Sriman Kota
Sriman Kota Co-founder, Bevolve

"Professionalism throughout. They could articulate our product better than most people on our own team. That says a lot."

David Myriel
David Myriel Partner Manager, Qdrant

"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."

Prasoon Mishra
Prasoon Mishra COO, TryThat.ai
Case Studies

The work speaks
for itself.

Three of our recent builds — full-stack AI products shipped end-to-end, across finance, infrastructure, and real estate.

4 mo. Storage platform, brief to production
4 ERPs Accounting systems integrated
7+ Full-stack vertical products shipped
$100K+ Avg. hiring cost saved per build
4 mo. brief to production
  • Windows, iOS, Linux & Web apps shipped
  • Bidirectional sync + cloud integration
  • Org RBAC and user management layer
Shipped in 4 months
Storage & Infrastructure · Full-Stack Product Read case study

From brief to production AI storage platform — in four months.

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.

Windows AppiOS AppLinux ISOWeb AppCloud SyncOrg RBAC
4 ERPs integrated
  • Zoho Books, Tally, QuickBooks & Xero synced
  • AI auto-reconciliation, matching & invoice parsing
  • CFO-level queries for every stakeholder in the org
Zero-day close target
FinTech · Accounting AI Read case study

AI that reads your books across every accounting system — and closes them.

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.

Zoho BooksTallyQuickBooksXeroBank SyncInvoice ParsingAuto-Reconcile
1 platform, full journey
  • Text and voice chat from a single interface
  • Property matching, structured comparisons, shortlisting
  • End-to-end booking completed within the conversation
Text + Voice natively
Real Estate · Conversational AI Read case study

An AI broker that finds, compares, and books — by text and voice.

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.

Voice AIProperty DBNL-to-SQLComparison EngineBooking Flow
Ready to build?

Your AI stack won't build itself.
Let's change that.

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