AI's next era runs on inference.GoodVision AI is building the compute grid to power AI inference.

Smart Routing sends every AI request to the right model and the right compute. Purpose-built AI Factories bring that compute online in weeks, not years. GoodVision AI is going public through a $180 million business combination with Calisa Acquisition Corp. (Nasdaq: ALIS).

The transaction is expected to create a Nasdaq-listed (proposed ticker: GVAI) global cloud-computing and AI-infrastructure company with three business lines: Cloud Service, AI Application Service and AI Factory Computing Service.

GoodVision AI investor presentation cover: Building Smart Compute Grid for AI Inference Globally
Investor presentationOctober 2026
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The platform edge

The right model, on the right compute, at a lower cost.

Cloud Service

Usage-based cloud and AI inference services for enterprise customers, delivered across leading cloud platforms.

AI Application Service

Smart Routing automatically matches every task with the right model and compute resources. No guesswork, no fragmentation, no manual orchestration.

AI Factory Computing Service

Purpose-built AI Factories engineered for fast, localized deployment and optimized cost, latency and performance.

Built on NVIDIA

Smart Routing runs on NVIDIA's inference stack.

GoodVision AI is a member of NVIDIA Connect, which gives it access to NVIDIA compute platforms, software and technical resources.

NVIDIA TensorRTTriton Inference ServerNIM microservices
Read the announcement
Close-up of a processor on a circuit board with green traces
~60%lower inference costs
~50%lower network latency

Results from GoodVision AI deployments; management estimates.

In production

Enterprise AI workloads already run on the platform.

Game developer with headphones working on AI-driven characters on a curved monitor

Gaming

A studio built its in-game AI agent system on GoodVision AI, with Smart Routing managing model choice and token spend.

Up to 60%less development effort
Up to 35%lower token cost

Biotech

An agent workflow automated customer data onboarding, removing a manual bottleneck from every new deployment.

Up to 70%less manual work
Up to 40%lower token cost

Customers span gaming, education, biopharma, retail and research.

Figures reflect management estimates based on prior deployments.

The infrastructure advantage

Designed to bring AI capacity online faster and run it more efficiently.

Split view of a warehouse: an energized industrial site on the left, converted AI compute on the right Energized power siteGoodVision AI Factory

GoodVision AI converts sites that already have power and grid interconnection, so compute goes live without the wait for new grid capacity.

200+MWPower reserve pipeline
40+Strategic sites identified
<1.2PUELower-energy designIndustry standard >1.4
~30daysFrom energized site to live computevs. 36+ months for greenfield

Specifications reflect design targets and management estimates. Full AI Factory build approx. 180 days. See Risk Factors in the proxy statement/prospectus.

Crane lowering an AI Factory container beside an electrical substation at dusk
The AI Factory model

Asset-light, with full operating control.

GoodVision AI invests about 10% of each AI Factory project and partners fund the rest. GoodVision AI runs the operation and keeps the token revenue from the compute.

~10%GoodVision AI capital per project
30–50%of economic returns
100%operating control and token revenue
960+ GPUs per 1 MW container (NVIDIA RTX PRO 6000) and 512+ GPUs per 1.5 MW container (NVIDIA B300)
First Japan AI Factory: flagship site in Fukushima with AI Storm (TSE: 3719), a 2 MW initial phase with 72 NVIDIA B300 servers. Read the announcement
Leadership

The team building the grid.

Deep roots in semiconductor engineering, hyperscale cloud infrastructure and deep-tech venture investing.

David Wang

David Wang

Chief Executive Officer

25+ years building and scaling cloud and compute systems globally. He has brought large-scale infrastructures into production across markets, from launch to significant commercial scale. Previously Senior Director at AWS, Head of Product and Solution at Oracle Cloud Infrastructure, Senior Executive at IBM and Senior Expert at Intel.

Yushan Zheng

Yushan Zheng, Ph.D.

Chairman

Began his career as a chip designer at HiSilicon, then moved into venture capital focused on semiconductors and AI. Founding Partner of Waterdrip Capital with 15+ years of investment and incubation experience; Ph.D. in Electrical Engineering, Polytechnique Montréal.

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