CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
Antseed launches a decentralized marketplace for AI inference that dramatically lowers developers’ costs

From SiliconANGLE

By Mike Wheatley

October 6, 2026

Antseed launches a decentralized marketplace for AI inference that dramatically lowers developers’ costs

Antseed launches a decentralized marketplace for AI inference that dramatically lowers developers’ costs

Developers now have a much cheaper way to access cutting-edge artificial intelligence inference capabilities with the launch of Antseed today.

It’s a new peer-to-peer marketplace that makes it possible to access almost any frontier model at a small fraction of its normal cost by bypassing centralized gateways in favor of independent and mainstream providers.

The launch of Antseed came as its controlling entity, the Antseed Foundation, closed on a $2.4 million token funding round led by Spark Capital, an early investor in Anthropic PBC, with participation from Collider, DCG, North Island Ventures, Reciprocal Ventures, Venice.ai and Relay Capital.

Antseed’s marketplace was created to help developers combat what the startup says is the “skyrocketing cost” of AI inference, or the computing power required to run AI models and generate responses. It cites data from Gartner Inc., which projects that global spending on AI cloud infrastructure is likely to grow to $42 billion by the end of this year.

The problem with inference is that developers have had few options until now but to access models through centralized middleman gateways and application programming interfaces that are controlled by just a handful of model providers. These companies have the ability to dictate the costs and usage limits, and they can adapt their pricing on the fly, leading to unpredictable price spikes for inference workloads.

Antseed’s open inference marketplace is meant to get around this challenge by giving anyone the ability to route AI requests across hundreds of independent and mainstream model providers, bypassing those centralized gateways. In effect, this forces model providers to compete for every request by lowering their prices. Antseed claims this is what allows users to access leading frontier models by up to 97% less than their official API prices.

The marketplace relies on a self-hosted local router, through which providers can list their available inference capacity, utilizing hardware they own, and set their own prices. Antseed verifies that each provider does indeed provide access to the models it claims to serve. The marketplace is built on the idea of reputation: If a provider fails a verification check, its reputation will decrease, and its routing priority will decline.

Antseed co-founder Amos Meiri compares its marketplace to the file-sharing service BitTorrent. He says it enables developers to maintain their existing AI workloads and configure routing for each request based on their cost, latency, capability and privacy requirements.

“What BitTorrent did for files, Antseed is doing for AI inference, with no central server and no company deciding who gets access or what it costs,” he said. “As agents make more model calls and inference becomes a material operating cost, developers need a simple way to route each request based on price, performance, capability and privacy. Antseed gives them one compatible local endpoint and access to a competitive market of independent providers, without locking their applications into a single centralized gateway.”

Antseed’s decentralized approach to model access enables model pricing to be dictated by open market dynamics, and it’s entirely anonymous too, so developers aren’t required to sign up to the service or provide any details at all. Because the router runs locally on the provider’s own systems, developers can also choose to go with hardware-verified providers that ensure strict prompt confidentiality. Developers can also access models through a pay-per-request pricing model, so there’s no need to commit to rigid, subscription-based pricing tiers.

Meiri said this strategy is already getting traction as a growing community of developers begin to realize the cost benefits Antseed providers. He points to on-chain data that shows how Antseed has processed almost 150 billion tokens across 202 active providers so far.

Spark Capital co-founder and General Partner Santo Politi said inference is to AI what fuel is to airlines. “It’s a core operating cost that companies need to manage as they scale, but right now only a handful of companies control the wells,” he explained. “Antseed is the counterweight to that centralized control, serving as a decentralized open market that gives developers the freedom to choose how they source compute while creating a direct market for providers to compete.”

Images: Antseed

View original article on siliconangle.com

Most Recent

Infor combines industry expertise and embedded engineers for process automation

Infor combines industry expertise, AI agents and forward-deployed engineers to help customers implement process automation and prototype new use cases.

Oct 7, 2026

Opinion: Washington’s new state income tax must be repealed

Editor’s note: GeekWire publishes guest opinions to highlight a range of perspectives on issues shaping the tech and startup community. To submit a guest column, email tips@geekwire.com. This fall, Washington state voters will once again have to defend their economic future and core competitive edge

Oct 7, 2026

Kore.ai launches Autoloop to keep tuning enterprise AI agents after they go live

Enterprise artificial intelligence platform company Kore.ai Inc. today launched Autoloop, an optimization engine for the AI agents that customers build on its Kore.ai Agent Platform. Businesses set the targets, and Autoloop keeps adjusting the agents to hit them automatically, including after they’r

Oct 7, 2026

OneSpan Sign takes aim at the slow work around bank agreements

Authentication and digital agreements company OneSpan Inc. today unveiled new and planned features for its OneSpan Sign electronic signature service that go beyond the signing step. The update is aimed at the parts of the agreement process that slow down banks and other financial institutions. Elect

Oct 7, 2026

Similar Posts

Equinix turns the network into the control plane for enterprise AI inference

At its first Horizon customer and partner event this week, Equinix Inc. argued that the architecture of enterprise artificial intelligence is being reshaped by a simple yet hard-to-answer question: Where should inference run? For the past several years, much of the AI infrastructure conversation has

Sep 4, 2026

Open-weight model developer Arcee AI reaches $1B+ valuation with new funding

Open-weight artificial intelligence model developer Arcee AI Inc. said today it has raised an undisclosed amount of cash in a new funding round that lifts its valuation to more than $1 billion. The Series B round was led by Vista Equity Partners, Cambium Capital and Emergence Capital, and saw partic

Sep 16, 2026

Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai

Mirai raised a $10 million seed round to improve how AI models run on devices like smartphones and laptops.

Feb 19, 2026

Why AI inference must become a commodity

The future of artificial intelligence inference isn’t premium; it’s ubiquitous and commoditized. That may sound odd coming from someone in the AI semiconductor business. Conventional wisdom suggests commoditization destroys value, so if AI inference were to become inexpensive and widely available, t

Sep 20, 2026