Capacity is fragmented
CPU, GPU and model capacity sit across incompatible clouds, independent operators and idle machines.
Investor overview · July 2026Download PDF ↓
The federated compute cloud
Turn every machine
into one cloud.
Capix is a smart control plane that routes compute and AI workloads across fragmented infrastructure—through the web, a native IDE, and an AI coding agent.
One account. One balance. Every compute lane.
01 · Problem
Compute is abundant.
Access is broken.
Developers absorb the complexity
Separate accounts, APIs, pricing models and deployment workflows turn infrastructure into integration work.
Supply is under-utilised
Buyers overpay for certainty while useful machines remain stranded outside a unified demand layer.
The missing layer is not another cloud. It is a neutral operating system across all of them.
02 · Why now
AI demand is turning infrastructure into the bottleneck.
The market is expanding faster than any single supply pool can serve. Open models and agentic software make demand more dynamic—and routing more valuable.
03 · Product
One network.
Three native surfaces.
Capix Cloud
Deposit once, then quote, deploy, monitor and manage compute from the web.
OperationsCapix IDE
A full desktop workspace where cloud resources, models, billing and SSH live beside the code.
CreationCapix Code
An agentic coding interface that selects routed models and can use infrastructure as a tool.
AutomationUnified identityUnified balanceUnified control planeOpenAI-compatible inference
04 · How it works
The Smart Router makes heterogeneous compute feel fungible.
WebIDECodeAPI
CapixSMART
ROUTERprice · reliability · fit · latency
ROUTERprice · reliability · fit · latency
CPUGPUModelsCommunity nodes
Every workload becomes a placement decision. Every placement creates data that improves the next decision.
05 · Trust layer
Private by design.
Verifiable by default.
Capix is building a compute market where buyers do not need to trust the machine—and providers do not need to see the workload.
Confidential execution
Secured-tier workloads run inside hardware-isolated microVMs with encrypted memory and remote attestation. Standard capacity remains explicitly lower assurance.
Prove the work, not the promise
Receipt-backed routing evolves into zkVM execution receipts, canary verification and an interactive fraud-proof path for disputed deterministic work.
Payment follows verified execution
Proof anchors and dispute outcomes create the evidence layer for programmable settlement, slashing and CPX network economics on Solana.
Live foundationCanonical ledger · private access · route receipts→Secured networkTEE attestation · zkVM proofs · on-chain verification
The trust layer unlocks proprietary models, regulated data and compute between parties that do not trust one another.
Secured compute and proof-backed settlement are staged architecture; they are not represented here as fully enabled production paths.
06 · Early proof
People are already
using the control plane.
Production activity snapshot
11–14 July 2026
11 Jul
12 Jul
13 Jul
14 Jul
Combined daily wallet, inference and deployment events
07 · Business model
Take rate on the flow of compute.
01Demand pays CapixOne balance across compute and inference
→02Capix routes the workloadBest eligible lane for price, fit and reliability
→03Supply earnsProviders receive the underlying cost
Usage margin
Spread on metered compute and inference.
Platform services
Managed deployments, endpoints, databases and developer tooling.
Enterprise control plane
Private supply, policy, observability and support.
Land through developers. Expand with workload volume and infrastructure breadth.
08 · Defensibility
The moat compounds on both sides.
Capixrouting intelligence
More demandWeb, IDE, Code, API
More supplyCloud + community capacity
Better placement dataCost, fit, latency, reliability
Better outcomesCheaper and more resilient
Workflow lock-inCross-supply abstractionRouting dataVerifiable receipts
09 · Market position
A control plane above
every compute category.
CategoryUnified demandMulti-supply routingNative developer surface
Hyperscalers●—◐
GPU marketplaces◐◐—
Decentralised protocols◐●—
AI coding tools●—●
Capix●●●
$723.4BPublic-cloud end-user spending forecast for 2025Gartner ↗
10 · Execution
From working wedge to
federated cloud.
Prove the control plane
- Identity, balance and ledger
- Routed inference
- CPU deployment lifecycle
- Web, IDE and Code surfaces
Build market density
- Production GPU and private models
- Provider and community-node growth
- Managed data and deployment services
- Enterprise reliability
Make compute verifiable
- Proof-backed execution
- Confidential compute
- Federated networking
- On-chain settlement evidence
Roadmap items are targets, not current production claims.
11 · Founder
Built for this
exact problem.
Ruqaiyah Iqbal brings enterprise cloud experience from Oracle, quantum-infrastructure DevOps experience from Oxford Quantum Circuits, and founder-level ownership across every layer of Capix.
EnterpriseOracleCloud systemsFrontier computeOxford Quantum CircuitsDevOps infrastructureZero to oneCapixFounder & builder
Cloud infrastructureDevOps & automationDistributed systemsSecurity & privacyAI orchestrationProduct engineering
RI
Ruqaiyah Iqbal
Founder · Capix
- Oracle · enterprise cloud
- Oxford Quantum Circuits · DevOps
- Queen Mary University of London
- 822 LinkedIn followers · 500+ connections
A rare founder-market fit: cloud operations, frontier compute and the ability to ship the full customer product—not just the protocol.
12 · The raise
Fund the control plane for
the world’s compute.
Capix is raising a seed round to turn a working multi-product foundation into a reliable, liquid and developer-distributed network.
Production hardening, billing integrity, orchestration and observability.
Capacity integrations, provider tooling, community nodes and market operations.
Capix IDE, Capix Code, MCP, docs and ecosystem adoption.
Round detailsShared in partner meeting