Vertex.AI
Vertex.AI was a Seattle-based private technology company founded in 2015 that developed visual intelligence and deep learning capabilities for edge devices. Co-founded by Choong Ng and Brian Retford, the company appears no longer active, with its domain currently listed for sale.
- Company typePrivate
- Founded2015
- HeadquartersSeattle, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Vertex.AI does
Vertex.AI was a Seattle-based private technology company founded in 2015 that focused on adding visual intelligence and deep learning capabilities to devices. Per available firmographic records, the company operated with 11-50 employees and was co-founded by Choong Ng (CEO) and Brian Retford (CTO). The company's stated mission centered on enabling AI inference and learning on edge and embedded hardware, a differentiated focus area at the time relative to cloud-centric ML platforms.
No product documentation, patents, or technical specifications are available for Vertex.AI in the provided data sources. The only verifiable product-related information is the high-level firmographic description of the company's visual intelligence and deep learning focus. The company's primary web presence, the vertex.ai domain, is currently listed for sale on Spaceship.com with no active website content, and no customer logos, case studies, or partnership information specific to the original Vertex.AI entity are present in the input.
A critical data caveat: the majority of source material describing "Vertex AI" technology, customer segments, partnerships (including the 2025-08-19 Agentic Hospitality relationship), performance benchmarks, and awards refers to Google Cloud's Vertex AI platform — a separate, much larger managed ML service under Google Cloud. The original Vertex.AI appears to have had minimal external capital (only a Creative Destruction Lab affiliation recorded on 2017-07-05 with $0 disclosed funding) and is currently listed as inactive. Business model, pricing, and customer concentration cannot be reliably assessed for the original Vertex.AI from the available evidence.
Vertex.AI firmographics
Firmographics- Name
- Vertex.AI
- Website
- https://vertex.ai
- Company type
- Private
- Founded year
- 2015
- Operating status
- Closed
- Headcount range
- 11–50 employees
- Short description
- Vertex.AI was a Seattle-based private technology company founded in 2015 that developed visual intelligence and deep learning capabilities for edge devices. Co-founded by Choong Ng and Brian Retford, the company appears no longer active, with its domain currently listed for sale.
- Ownership category
- akta.pro rank
Vertex.AI industry classification
Industry- Product category
- Edge AI Software
- akta.pro primary industry
- On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB)
Keywords
Where Vertex.AI is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Markets served
Vertex.AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D
Revenue model
- Cloud ML Platform Services: Revenue generated through Google Cloud's managed ML platform, with pricing ranging from free tiers to custom enterprise plans based on usage and features. Part of Google Cloud's broader enterprise cloud revenue stream.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier available for basic usage and experimentation |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels3 records
Vertex.AI product offering
Product offeringCore offering
Vertex.AI was a technology company engaged in adding visual intelligence capabilities and deep learning capabilities to any device. The company's focus was on enabling on-device AI for computer vision and perception workloads, allowing devices to perform deep learning inference locally rather than relying on cloud connectivity.
Product overview
No product information available for Vertex.AI. The vertex.ai domain (http://vertex.ai/) is currently listed for sale on Spaceship.com and contains no company, product, or service information. The term "Vertex AI" (without dot) is referenced in multiple news sources as a Google Cloud MLOps and AI development platform; however, no substantive product data was found for an entity named Vertex.AI with a period.
Differentiator
Problem solved
Functional benefit
Products and services
- On-device Visual Intelligence & Deep Learning Platform
Quantifiable outcome
- 35% reduction in Time to First Token latency for Qwen3-Coder
- +3 more outcomes
Companies that use Vertex.AI
Customer profileSegments3 records
Ideal customer profiles1 record
Vertex.AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature3 records
Vertex.AI partnerships and signals
Strategic signalScale indicators4 records
Recent moves1 record
Vertex.AI competitors and assessment
Company assessmentDirect peers
- Xnor.ai: Seattle-based startup with a near-identical mission of running advanced deep learning and computer vision models efficiently on edge devices. Direct pre-2020 peer in both geography and category (acquired by Apple in 2020).
- Edge Impulse: Developer platform for building, training, and deploying ML models on edge devices (microcontrollers and embedded Linux). Closely comparable as an on-device ML enablement toolchain in the same category Vertex.AI targeted.
- OctoML: Automated ML performance and deployment optimization across hardware targets, including edge. Comparable as an ML deployment/runtime optimization layer focused on making models run efficiently across heterogeneous devices.
Emerging players
- Picovoice: On-device AI SDKs for voice and audio (and adjacent vision) inference on edge hardware. Comparable as an on-device inference SDK/Runtime for developers building AI into devices, mirroring Vertex.AI's stated 'any device' positioning.
- Deeplite: Deep neural network optimization (quantization, pruning) for deployment on resource-constrained edge devices. Comparable in addressing the same bottleneck of fitting large models onto edge silicon that Vertex.AI targeted.
- AlwaysAI: Computer vision platform purpose-built for edge and IoT devices, including developer SDKs for on-device inference. Comparable as an edge CV / on-device deployment layer with similar target customers.
- Imagimob: Edge AI platform for embedded and IoT devices, providing tools to develop and deploy sensor-based ML models on-device. Comparable niche overlap in on-device deep learning tooling for embedded hardware.
Broad incumbents
- BrainChip: Public neuromorphic processor company whose IP and SDK target ultra-low-power on-device AI. Comparable at the layer of edge AI enablement (hardware + runtime/SDK), though at a much larger scale and with proprietary silicon.
Market position
Strengths1 record
Weaknesses4 records
Competitive moat2 records
Key risks5 records
Key highlights3 records
Customer concentration
Vertex.AI social profiles
Digital presenceVertex.AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vertex.AI leadership team
Management profileNumber of profiles
Profiles2 records
Vertex.AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vertex.AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Vertex.AI
What does Vertex.AI do?
Vertex.AI was a technology company engaged in adding visual intelligence capabilities and deep learning capabilities to any device. The company's focus was on enabling on-device AI for computer vision and perception workloads, allowing devices to perform deep learning inference locally rather than relying on cloud connectivity.
When was Vertex.AI founded?
Vertex.AI was founded in 2015. It employs 11 to 50 people.
Where is Vertex.AI based?
Vertex.AI is headquartered in Seattle, United States, in the North America region.
How does Vertex.AI make money?
One revenue line is on record: cloud ML Platform Services.
Who are Vertex.AI's main competitors?
Direct peers on record are Xnor.ai, Edge Impulse and OctoML. Emerging players are Picovoice, Deeplite, AlwaysAI and Imagimob. BrainChip is listed as a broad incumbent.
Does Vertex.AI have an API?
No public API is recorded for Vertex.AI.
What industry is Vertex.AI in?
Vertex.AI's product category is Edge AI Software. Its primary akta.pro industry code is HDAAAJAB, On-Device Inference Runtimes & SDKs (mobile/embedded).