Company
A cloud that keeps pace with AI.
Fantasti builds the Fantasti Cloud Platform: GPU compute, the tools around it and the agents that operate it. One API, one console and one bill, from one GPU to the whole rack.
- 1. Bar · The arm leaves the stem 156 units thick and tapers to 94 at its cut.
- 2. Gap · 66 units.
- 3. Point · A full tile, 150 units on each side. It is the one Signal lamp.
- 4. Roof line · 2:1, the slope of every drawing on this site.
- 5. Stem · 130 units wide and 600 tall, standing on the baseline. Units are 1000 per em.
- Platform
- Fantasti Cloud Platform
- Products
- 20 in 5 pillars
- NVIDIA GPUs
- 6 models · 2 rack-scale systems
- Roster
- 28 AI agents · 10 teams
§01 What we do Private Preview
We build the Fantasti Cloud Platform: priced per GPU-hour, every workload placed by the Fantasti Orchestrator, all of it on one statement.
- Why
- A team’s need for compute changes faster than a sales process can follow.
- How
- So agents are built to answer, place work and review quota at any hour. High-stakes decisions pass a second, senior review.
§02 Programs
Programs
-
NVIDIA Inception program member - Member of Cloudflare for Startups
§03 Agents Early access
Built to be run by agents. The owner sets the rules.
Fantasti is designed to be operated end to end by AI agents, under written rules and hard limits. Each agent has one job, a short list of tools and a limit on what it may decide.
- 28 AI agentsin 10 teams, 13 opening with the first cohort
- Three levelsdesk, senior review, the owner
- Three outcomesthe agent acts, asks, or hands off to senior review
- Every decisionlogged with its inputs and its reasoning
fantasti explain cl_8f2k A decision record is read with one command.
Read left to right. By design, you ask and the agents answer. 28 AI agents in 10 teams: Sales, 3; Support, 6; Engineering, 3; Security, 2; Review, 2; Legal, 2; Monitoring, 3; Risk, 2; Capacity, 2; Release, 2. Sales and Support are the teams you talk to. The others are reached through them. A high-stakes decision goes to senior review, by the orchestrator tier: refunds above $500, account suspension, capacity requests, security disclosures, playbook exceptions. The owner sets the hard limits: money out, rule changes, stop, record. Every decision is logged with its inputs and its reasoning. Connections: You to Desk: Asks; Desk to You: Answers; Desk to Senior review: Escalates; Owner to Agents; Agents to Decision record: Writes.
Agents28 agents · 10 teams
A person, apipeline oryour agents
- Sales
- 3
- Support
- 6
- Engineering
- 3
- Security
- 2
- Review
- 2
- Legal
- 2
- Monitoring
- 3
- Risk
- 2
- Capacity
- 2
- Release
- 2
Sales and Support are the teamsyou talk to. The others arereached through them.
Refunds above $500Account suspensionCapacity requestsSecurity disclosuresPlaybook exceptions
By the orchestrator tier
Sets the hardlimits
Money outRule changesStopRecord
role · playbook · tier · inputsrule · reasoning · outcome · reviewEvery decision is logged with its inputs and itsreasoning.
Agents28 agents · 10 teams
A person, apipeline or youragents
Sets the hardlimits
Money outRule changesStopRecord
- Sales
- 3
- Support
- 6
- Engineering
- 3
- Security
- 2
- Review
- 2
- Legal
- 2
- Monitoring
- 3
- Risk
- 2
- Capacity
- 2
- Release
- 2
Sales and Support are the teams you talkto. The others are reached through them.
Refunds above $500Account suspensionCapacity requestsSecurity disclosuresPlaybook exceptions
By the orchestrator tier
role · playbook · tier · inputsrule · reasoning · outcome · reviewEvery decision is logged with its inputsand its reasoning.
- Sets the rules
§04 Teams 28 agents · 10 teams
Ten teams, one orchestrator.
Sales and Support are the teams you talk to. The others are reached through them.
The owner
The owner reads the orchestrator's digest, sets the rules and the hard limits, and signs what only a legal person can sign.
ReceivesOwner's digest · weekly
Maren
OrchestratorAI agent
Reports toThe owner, by digest
Team leads report to the orchestrator. The orchestrator sends the owner's digest.
-
013 agents
Sales
Answers what Fantasti offers, reviews access requests, quotes capacity and prepares contracts.
PlannedTeam lead
Idris
Head of SalesAI agent
- Lucia · Sales desk · AI agent
- Kenji · Solutions architect · AI agent
You talk to this team.
-
026 agents
Support
Takes every case at any hour, from a billing question to a failing job.
PlannedTeam lead
Zainab
Head of SupportAI agent
- Anouk · Front desk · AI agent
- Tamsin · Support desk · AI agent
- Emre · Billing desk · AI agent · Planned
- Jonas · Technical support · AI agent
- Yuki · Voice line · AI agent · Planned
You talk to this team.
-
033 agents
Engineering
Builds the platform and looks after the clusters it runs.
PlannedTeam lead
Soren
Head of EngineeringAI agent
- Priya · Infrastructure desk · AI agent
- Oskar · Platform developer · AI agent · Planned
-
042 agents
Security
Looks after access and keys, takes vulnerability reports and drafts disclosures.
PlannedTeam lead
Farah
Head of SecurityAI agent
- Teodor · Security analyst · AI agent · Planned
-
052 agents
Review
Gives high-stakes decisions their senior review and grades the work of every desk.
Team lead
Ingrid
Head of ReviewAI agent
- Kofi · QA reviewer · AI agent
-
062 agents
Legal
Drafts order forms and agreements, and checks a term before it is published.
PlannedTeam lead
Carmen
Head of LegalAI agent
- Elias · Contracts desk · AI agent · Planned
-
073 agents
Monitoring
Watches the platform at every hour and keeps the record of every incident.
PlannedTeam lead
Selma
Head of MonitoringAI agent
- Milan · Watch desk · AI agent · Planned
- Greta · Incident scribe · AI agent · Planned
-
082 agents
Risk
Applies one rule set to sign-ups, payments, quota changes and launches.
Team lead
Rafael
Risk and fraud officerAI agent
- Dalia · Fraud analyst · AI agent · Planned
-
092 agents
Capacity
Places work, follows spot prices and grows account quotas.
Team lead
Leila
Capacity brokerAI agent
- Hiro · Quota analyst · AI agent
-
102 agents
Release
Tests and stages every change to a playbook, and writes the changelog.
Team lead
Freya
Release managerAI agent
- Gael · Changelog editor · AI agent · Planned
Every role on this roster is an AI agent or a written rule. None is a person. No role is in service yet. A role marked Planned opens after the first cohort.
§05 What we build 20 products
What we build
-
01Compute: 5 products
- GPU Instances
- CPU Instances
- GPU Clusters
- Rack-scale By request
- Spot
-
02Develop: 3 products
- Workspaces Early access
- Sandboxes Early access
- Flows Planned
-
03Data and network: 2 products
-
04Run: 3 products
- Batch Inference
- Serverless Early access
- Integrations Early access
-
05Operate: 4 products
- Orchestrator
- Observability Early access
- MLflow Early access
- Applications Planned
-
ACAccess: 3 products
- API
- MCP server Early access
- Console and one bill
Every product shares one account, one set of policies and one statement.
§06 Principles 4 principles
What we hold to.
- 01 Clarity Prices, mechanisms and limits are published. If we cannot explain how something works, we do not sell it.
- 02 Determinism The same request against the same pools gets the same answer, and the record says why.
- 03 Senior review Agents are built for the volume work. High-stakes decisions pass a second, senior review.
- 04 Velocity We remove the friction between a team and the capacity it needs: fewer sales calls, faster quota, shorter queues.
- Sheet
- 01 / 02
- Title
- Principles
- Reviewed
- 2026-10-10
§07 Research Research
Research.
We study how a GPU reaches a workload when it is attached over a network. It is research in progress, with no product and no benchmark yet.
- R-01Network-based GPU virtualization
- R-02Delivery protocols for GPU workloads
- R-03Placement and interruption prediction
Three ways a GPU reaches a workload: installed in the server, carried across a switch fabric, or reached through a client library over the network. Connections: Workload to GPU; Workload to Switch fabric; Switch fabric to GPU; Workload to Client library; Client library to GPU: Network.
Server
Server
Server
Server
Server
Server
§08 Roadmap Reviewed 2026-10-10
What ships next.
Products
- Flows Python workflows from experiment to production, on GPUs.
- Applications Notebooks, inference servers and databases, one click.
- NVIDIA OSMO Physical-AI workflows on your Fantasti cluster.
Orchestrator
- Broker-managed max price Give the Broker a ceiling and a budget, and it sets the max price for each start.
- Interruption outlook How likely spot capacity is to be reclaimed, by GPU type.
Agents
- 15 AI agent roles Team leads for Sales, Support, Engineering, Security, Legal and Monitoring, and nine desk roles.
MCP server
- 8 more tool groups Batch, Flows, Broker, Quota, Clusters, Records, Support, Changelog.
- Two-tool mode Search the API and call it through two tools.
Support and community
Security and access
- Directory sync (SCIM) Provision and remove users from your identity provider.
- Customer-managed keys Keys you hold for storage encryption.
- Audit log Account, role, key and resource actions, with export.
- Audit log streaming Delivery to your SIEM.
- Status page Public incident and maintenance history.
§09 Colophon
Colophon
- Platform
- Fantasti Cloud Platform
- Founded
- 2025
- Roster
- 28 AI agents in 10 teams
- Name
- From fantástico. The F of the mark lifts its arm into an exclamation.
- Type
- Set in Archivo and Commit Mono. Built with Astro.
- Drawings
- Drawings and charts are generated from data at build time.
- Sheet
- 02 / 02
- Title
- Roadmap and colophon
- Reviewed
- 2026-10-10
§10 Request Private Preview