Now Live — Deploy in minutes

One platform for
every AI tool
your team needs.

Lab Maneuver gives every user their own AI workspace — model playground, Jupyter notebooks, RAG knowledge base, and hard token limits. One platform. Full control. No surprise bills.

RKSPMJ+5
4.9 / 5 avg rating
No credit card required

Up and running in minutes.

No Kubernetes expertise needed. No DevOps team required.

01

Create your org

Set up your organisation, configure token limits, choose which labs and models are available, and define user tiers.

02

Add users

Upload users under your org — individually or in bulk. Each user gets an isolated workspace with their own quota, ready immediately.

03

Start using the labs

Users log in and access built-in Bedrock models across all labs — chat, RAG, notebooks, agents, and more. Optionally connect your own API keys per org.

10,000+API calls / day
12+Teams onboarded
99.9%Uptime SLA

Everything your AI team needs
in one place.

From prompt engineering to production RAG pipelines — secure, scalable, and cost-controlled.

AI Model Playground

Built-in model access out of the box. Compare outputs, tune parameters, and save prompt templates — no setup required.

Managed Notebooks

Per-user Jupyter notebooks with auto-scaling, persistent storage, and pre-loaded AI/ML libraries. Productive from day one.

RAG Lab

Upload PDFs, docs, and text — auto-chunked, embedded, and indexed. Ask questions and get answers with cited sources. Private per user.

Per-User Cost Controls

Token quota system with real-time tracking, monthly resets, and configurable tiers. No surprise bills ever.

Multi-Tenant Security

Org-level isolation, RBAC, per-user data separation, and JWT authentication built in.

Multi-Agent Lab

Build teams of specialised agents — Researcher, Writer, Reviewer. Chain them in sequence or run in parallel. Watch each agent's output in real time.

Multi-Modal Lab

Upload images and ask questions about them. Extract text from screenshots, describe charts, identify objects — powered by Bedrock vision models.

Bring Your Own LLM

Built-in Bedrock models work out of the box. Need more? Connect OpenAI, Anthropic, or any custom API endpoint per org — your keys, your costs.

SQL & Data Lab

Every user gets a private PostgreSQL schema — browse tables, run queries, do vector search, and connect from JupyterLab or any SQL client using personal credentials.

Usage Analytics

Per-user and org-level token consumption by lab, by day, and by model. Full visibility for admins and users.

Prompt Lab

Design prompt templates with {{variables}}, run them against any model, and save for reuse. Every run is logged with token count and output.

MCP Lab

Connect GitHub, Notion, Slack, Tavily web search and more via Model Context Protocol. The AI automatically picks the right tool based on your question.

Integrates with your existing stack.

Connect via LTI 1.3 or REST API. Users are live in minutes, not days.

LTI 1.3

LMS Ready

Launch from Canvas, Moodle, Blackboard or any LTI-compliant LMS. Students auto-provision — no separate login needed.

POST /lti/launch
iss: canvas.instructure.com
sub: student_12345 → auto-provisioned ✓
CanvasMoodleBlackboardD2LZapierAny REST client

Simple pricing. No surprises.

Start free, scale as your team grows.

Custom

Enterprise

For teams & organizations at scale

Let's Talk
  • Unlimited usage & users
  • JupyterHub notebooks
  • Bring your own LLM
  • SSO, SAML & LTI 1.3
  • Dedicated infra + custom SLA
Book a Free Demo →

Everything DIY is missing.

Building this yourself takes months. We've already done it.

Feature DIY / Cobbled tools Lab Maneuver
Per-user token quotas✗ Build it yourself✓ Built-in
Jupyter notebooks per user✗ Manage Kubernetes✓ Auto-provisioned
RAG vector store✗ Separate service✓ Included
LMS / LTI integration✗ Custom dev work✓ One config
Multi-tenant security✗ Easy to get wrong✓ Org-level isolation
Bring your own LLM✗ Re-wire everything✓ Per-org API keys

Loved by AI teams worldwide.

From research labs to fast-moving startups — here's what they say.

"
★★★★★

"Cortex replaced 4 different tools. The RAG engine with web fallback is incredibly smart — it just works."

RK
Rahul K.Head of AI, Fintech Startup
"
★★★★★

"Jupyter notebooks with pre-loaded ML libraries means our data scientists are productive from day one."

MJ
Michael J.Data Science Lead

Your team is losing hours to fragmented AI tools.

One platform. Every user gets their own workspace, token budget, and full AI stack. We'll help you every step of the way.

No credit card · No DevOps needed · No setup headaches