Adaptive Learning OS
Learning platforms that model each student’s knowledge as a living graph — and adapt every next step to it.
AI Engineering · R&D · Software
Beyond software. We engineer intelligence.
XTeam is an elite engineering group crafting AI systems, foundational research and products that feel like they arrived from the future.
01Who we are
A collective of senior engineers, researchers and designers building the substrate of machine intelligence — learning systems, cognitive architectures and the software that carries them.
Senior-only
No juniors learning on your budget. Every engineer has shipped systems that carry real load.
Research to production
We move ideas from papers to running services — and publish what we learn on the way.
Human + AI workflow
Our teams pair human judgement with fleets of AI agents. It is how we build — and what we build.
02What we do
Capabilities engineered as one system.
01
AI Systems Engineering
LLM applications, RAG pipelines, evaluation harnesses and inference infrastructure that hold up in production.
02
Multi-Agent Systems
Orchestrated fleets of specialised agents — planning, tool use, memory and safe, supervised autonomy.
03
Applied R&D
From literature to prototype to patent. We take the research risk so your roadmap doesn’t have to.
04
Product Engineering
Full-cycle product development — backend, interfaces, infrastructure — shipped with research-grade rigor.
05
Data & Knowledge Platforms
Knowledge graphs, vector search and analytics pipelines that turn raw data into structure machines can reason over.
06
AI Strategy & Advisory
Architecture reviews, feasibility studies and roadmaps for teams adopting AI seriously.
03Instruments
A precision toolchain, mastered to the edge.
Chosen for reliability at scale — from research notebooks to production clusters.
Python, PyTorch, FastAPI, LangGraph, PostgreSQL, Neo4j, Qdrant, Redis, RabbitMQ, ClickHouse
TypeScript, React, Next.js, Three.js, WebGL, Docker, Kubernetes, Helm, Terraform, GitHub Actions
04AI Solutions
Intelligence, running in production.
Not demos. Systems with users, uptime and consequences.
Cognitive Architecture
MAGIC — our cognitive operating system: perception, memory, reflection and action as composable services.
Knowledge Graph AI
Domain knowledge compiled into graphs that machines can traverse, query and reason over.
Agent Orchestration
Supervised autonomy for fleets of AI agents — with observability, guardrails and human control built in.
05Research
We do the science behind the engineering.
Mathematics
Compensated Arithmetic
Numerical methods that keep large-scale computation stable — up to 2000× accuracy gains in ML kernels.
Cognition
Cognitive Modeling
Modelling how humans learn, forget and recover knowledge — the engine behind adaptive learning.
Safety
AGI Safety
Autonomy levels, confidence thresholds and human-in-the-loop control as first-class architecture.
06Selected work
Built by XTeam. Running in the world.
EdTech — Adaptive learning platform01
StudyNinja
An AI tutor that finds exactly where a student is stuck — and rebuilds their learning trajectory from that point.
R&D — Cognitive architecture02
MAGIC Cognitive OS
An operating system for machine cognition — event-driven, reflexive and safe by design.
Science — Open research programme03
UWT Research
A public research programme in theoretical physics — models, experiments and papers in the open.
07How we ship
A process with no wasted motion.
- 01
Discover
Deep immersion into your domain, constraints and data. We ask until the problem is sharp.
- 02
Architect
Systems design first — models, interfaces, failure modes. The blueprint before the build.
- 03
Build
Small senior team, fast iterations, working software every week. No theatre.
- 04
Verify
Evaluation harnesses, adversarial testing, load and safety checks — before your users do.
- 05
Evolve
Ship, observe, improve. Systems that learn — and a team that stays accountable.
08Why XTeam
The unfair advantage is the team.
Elite by default
A small team of people who would be the strongest engineer in most rooms.
Research-grade rigor
Claims are tested, numbers are measured, and “it seems to work” is not a status.
Speed with safety
We move fast because the guardrails are engineered, not improvised.
Human + AI, natively
Agentic workflows multiply every engineer. You get the output of a department.
0+years — average engineering experience
0products & platforms in production
0active research tracks
0×numerical accuracy gains in our ML kernels
09Collaborations
Working at the frontier, together.
We partner with founders, labs and enterprises across education, research and deep technology.
EdTechDeep TechResearch LabsSaaSScienceAI Platforms
Client list under NDA — references available on request.
10Signals
They think like researchers and ship like a product team. That combination is almost impossible to hire.
XTeam gave us the output of an entire data science department — and raised the bar for the rest of us.
11Innovation Lab
Where we place our own bets.
The Lab is our internal frontier — experiments we fund ourselves, publish openly and graduate into products.
Open research
Balansis / ACT
Compensated arithmetic for numerically honest machine learning.
In production
MagicBrain
A computational model of human learning, forgetting and recovery.
In development
Magic SDK
Developer tools for building cognitive, agent-driven applications.
12Careers
Build the future with people who already live there.
No open role that fits? Exceptional people are always the exception — write to us.
Let’s engineer what’s next.
Tell us about the system you wish existed. We’ll tell you how to build it.
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