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Aicent

Full company profile

uuid0006mxo

Namestring
Aicent
Legal namestring
AICENT.COM ORGANIZATION
Websiteurl
aicent.com
Company typeenum
Private
Founded yearint
2000
Descriptiontext

Aicent operates as the governance and brain layer (RFC-001) of the Aicent Stack, a sovereign AI infrastructure protocol modeled as a 17-pillar biological organism. The stack comprises eight named functional pillars — EPOEKIE (Soul), AICENT (Brain), RTTP (Nerve), RPKI (Immune), ZCMK (Blood), GTIOT (Body), AICENT-NET (Hive), and BEWHO (Persona) — plus nine additional MAXCAP pillars. The brain layer (currently v1.2.3-Alpha RADIANT) performs 128-bit intent decomposition, manages AID (Autonomous Identity) lifecycles via Ed25519 cryptography bound to ZCMK stake, and coordinates cross-pillar resource allocation with claimed sub-millisecond latency. Adjacent layers provide semantic multicast routing (RTTP), zero-trust identity verification (RPKI), a zero-commission compute market with nanosecond RTBA auctions (ZCMK), embodied physical execution at 1.2kHz (GTIOT), and dynamic persona switching (BEWHO). Technical claims include a 1.2B+ sovereign node target footprint, 10B+ TPS throughput, and 11 9s availability targets, though all metrics are self-reported and the platform is at alpha stage.

The company is led by founder/CEO Lynn Liu with prior VC backing from Warburg Pincus, Qualcomm Ventures, Intel Capital, and TA Associates across rounds from 2004-2011 totaling approximately $36.64M. Per firmographic data, Aicent was founded in 2000 in San Jose with 1,001-5,000 employees and historically provided data network services and integrated mobile messaging for mobile operators — a positioning that conflicts with the current sovereign AI infrastructure materials and suggests either a pivot, rebrand, or distinct entity sharing the name. Current go-to-market is developer-led and product-led, centered on a public GitHub repository, seven RFC specifications, and an interactive Demo Center / Simulation Suite 2.0; enterprise field sales supplements the self-serve motion. Revenue model design spans transaction fees on ZCMK compute auctions, usage-based infrastructure fees, and subscription recurring for AID identity services, but no commercial revenue, paying customers, or enterprise deployments are disclosed in the available material.

The technical architecture targets four primary use-case segments: AI infrastructure operators needing sovereign cognitive orchestration, industrial IoT and robotics requiring sub-millisecond reflex loops, AI compute market participants seeking zero-friction resource allocation, and AI agent developers needing semantic task routing. Pricing is not publicly disclosed; the ZCMK demo references compute market rates ($0.0006-$0.0009 per million FLOPs across Tokyo, Singapore, Berlin nodes) that represent the underlying resource cost rather than Aicent's service fees.

Short descriptiontext

Aicent operates as the brain layer (RFC-001) of the Aicent Stack, a sovereign AI infrastructure protocol comprising eight interdependent pillars (brain, nerves, immunity, blood, body) targeting sub-millisecond cognitive orchestration, self-sovereign AI identity, and zero-commission compute markets for developers, AI infrastructure operators, and industrial robotics builders.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1,001–5,000
akta.pro rankint
HeadquartersSan Jose, United States
HQ citystring
San Jose
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
AI infrastructure platform, sovereign AI protocols, autonomous agent orchestration, zero-commission compute marketplace, self-sovereign identity management
Industry4 codes
1AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryYes
2End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryNo
3Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem)
CodeHDAEANACPrimaryNo
4Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
NAICS code3 codes
  • Computer Systems Design and Related Services54151
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
  • Computer Systems Design Services541512
SIC code3 codes
  • Services-Prepackaged Software7372
  • Computer Communications Equipment3576
  • Services-Computer Integrated Systems Design7373
Product category
AI Infrastructure
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model3 records
1Sovereign AI Infrastructure Services
TypeTransaction Fee
Description

The ZCMK layer provides nanosecond-resolution RTBA (Real-Time Bidding Algorithm) auctions for AI compute resource allocation. The zero-commission market matches compute demand with supply from registered nodes globally. Revenue derived from micro-settlement fees on compute transactions between buyers and suppliers.

aicent.com
2AID Identity Management Services
TypeUsage Based
Description

Aicent Stack provides cognitive orchestration infrastructure for AI operations. The platform coordinates compute resource allocation, identity management, and task scheduling across the sovereign AI organism. Revenue likely derived from infrastructure fees, API access, or node participation fees.

aicent.com
3Subscription Recurring
TypeSubscription Recurring
Description

Sovereign identity orchestration services for autonomous AI agents. Self-sovereign authentication without centralized authorities, economically secured through ZCMK stake binding.

aicent.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Pricing details2 tiers
1Enterprise Infrastructure Access
ModelUsage-basedBilling cadencePay-as-you-go
Notes

No public pricing disclosed. Compute resources traded on ZCMK market at $0.0006-$0.0009 per million FLOPs. Enterprise deployments likely custom quoted based on node count and throughput requirements.

aicent.com
2AID Identity Management
ModelSubscriptionBilling cadenceMonthly
Notes

Sovereign identity services with ZCMK stake binding. No public pricing disclosed.

aicent.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1AICENT Stack
Description

The complete sovereign AI organism comprising multiple protocol layers: EPOEKIE (Soul), AICENT (Brain), RTTP (Nerve), RPKI (Immune), ZCMK (Blood), GTIOT (Body), AICENT-NET (Hive), BEWHO (Persona)

aicent.com
Core offering1 text field

Aicent builds and operates the Aicent Stack, a sovereign AI infrastructure protocol stack modeled as a 17-pillar biological organism. The platform comprises multiple functional protocol layers — AICENT (cognitive orchestration), RTTP (real-time task transport), RPKI (zero-trust security), ZCMK (zero-commission compute marketplace), and GTIOT (embodied robotics) — that together provide sub-millisecond AI infrastructure with self-sovereign identity, distributed compute allocation, and embodied physical execution for enterprise AI systems.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Aicent Stack is a sovereign AI infrastructure protocol stack modeled as a biological organism, built from 17 interdependent pillars. The core product portfolio centers on five functional layers: AICENT (RFC-001, the cognitive orchestration brain layer) handles autonomous task decomposition and AID sovereign identity management; RTTP (RFC-002, the nerve layer) provides real-time task processing and semantic multicast communication; RPKI (RFC-003, the immune layer) delivers parallel tensor watermarking and zero-trust verification; ZCMK (RFC-004, the blood layer) operates a zero-commission compute market with nanosecond RTBA auctions; and GTIOT (RFC-005, the body layer) enables embodied physical execution at 1.2kHz. Additional pillars include EPOEKIE (Soul), AICENT-NET (Hive), and BEWHO (Persona). These layers interconnect to form a closed-loop sovereign AI organism with sub-millisecond latency and 10B+ node throughput, accessible through the Aicent Stack Demo Center live simulation suite.

Product and service6 records
1AICENT (Brain Layer, RFC-001)
CategoryCore protocol
Description

The cognitive orchestration engine of the Aicent Stack — the 'brain' layer that decomposes high-level intentions into executable task graphs, manages AID (Autonomous Identity) lifecycle, and coordinates cross-pillar resource allocation with sub-millisecond precision. Implements 128-bit intent decomposition, sovereign identity management, and BEWHO-integrated persona switching. Designed for AI infrastructure operators building autonomous AI systems.

2RTTP (Nerve Layer, RFC-002)
CategoryCore protocol
Description

Real-time Task Processing Protocol — an application-layer transport protocol for AI-agent-native real-time mounting and semantic addressing of unstructured tasks across distributed agents. Features stateful bidirectional streams, context snapshots with memory migration, and semantic routing based on task embeddings. Supports max 128 concurrent tasks and 128K context length. Designed for AI agent developers building multi-agent systems.

3RPKI (Immune Layer, RFC-003)
CategoryCore protocol
Description

The security/immunity layer of the Aicent Stack performing parallel tensor watermarking and full-spectrum verification of identity and intent at wire speed. Ensures instant isolation of malicious entities with 850µs atomic isolation. Provides zero-trust identity routing signatures and hijacking prevention for the sovereign AI organism. Built for enterprise security and identity assurance use cases.

4ZCMK (Blood Layer, RFC-004)
CategoryCore protocol
Description

Zero-Commission Market — the economic/circulatory layer of the Aicent Stack providing nanosecond-resolution RTBA (Real-Time Bidding Algorithm) auctions and micro-settlement logic for AI compute resource allocation. Achieves 85% cost reduction through zero-friction economic homeostasis across registered compute nodes globally. Designed for compute resource providers and AI compute buyers.

5GTIOT (Body Layer, RFC-005)
CategoryCore protocol
Description

Global Trusted Internet of Things — the embodied physical execution layer of the Aicent Stack. Features Action-Collapse logic and high-fidelity shadow-state synchronization enabling 1.2kHz industrial-grade robotics reflexes and secure physical actuation with <150µs target latency. Designed for manufacturers and operators of industrial robotics and edge computing systems.

6Aicent Stack (Sovereign AI Organism Platform)
CategoryPlatform
Description

A complete, autonomous AI lifeform infrastructure protocol stack modeled after biological blueprints. Comprises 17 pillars including the 7 RFC layers (EPOEKIE/Soul, AICENT/Brain, RTTP/Nerve, RPKI/Immune, ZCMK/Blood, GTIOT/Body, AICENT-NET/Hive, BEWHO/Persona) plus 9 MAXCAP pillars. Designed for sovereign identity, real-time cognitive orchestration, and sub-millisecond AI infrastructure across 10B+ sovereign nodes.

Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
1Aicent Stack Components (EPOEKIE, RTTP, RPKI, ZCMK, GTIOT, BEWHO, AICENT-NET)
Strategic tierCoreTypeOthers
Description

The Aicent Stack comprises eight interdependent pillars forming a complete autonomous AI lifeform: EPOEKIE (Soul Layer, RFC-000), AICENT (Brain Layer, RFC-001), RTTP (Nerve Layer, RFC-002), RPKI (Immune Layer, RFC-003), ZCMK (Blood Layer, RFC-004), GTIOT (Body Layer, RFC-005), AICENT-NET (Hive Layer, RFC-006), and BEWHO (Persona Layer, RFC-007). Each layer is hosted at its own domain but operates as a unified biological organism with cross-layer integration and resource coordination.

aicent.com
Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Anyscale (built on Ray) provides distributed compute orchestration for AI workloads, the same architectural problem Aicent's AICENT brain layer and RTTP nerve layer target. Both enable developers to run and orchestrate AI workloads across distributed infrastructure.

TypeDirect peer
Description

Replicate runs a cloud API for running and fine-tuning open-source AI models, sharing the marketplace-style model where developers deploy models and pay for compute — analogous to Aicent's ZCMK zero-commission compute marketplace.

TypeEmerging player
Description

RunPod is an emerging GPU cloud and serverless AI compute provider with a marketplace for community-contributed compute, sharing the AI compute marketplace thesis with Aicent's ZCMK. Both target developers seeking flexible, low-cost AI compute.

TypeDirect peer
Description

iBasis provides international voice, data, and mobile signaling services for operators — directly comparable to Aicent's legacy mobile operator data network services. Both serve as IPX carriers connecting mobile operators globally.

TypeDirect peer
Description

Together AI provides a distributed AI cloud with an open-source inference and training stack, directly comparable to Aicent's stack of AI infrastructure layers. Both emphasize developer access, agent support, and cost-efficient AI compute at scale.

TypeDirect peer
Description

BICS (Belgacom International Carrier Services) provides wholesale carrier services including IPX, messaging, and roaming data services to mobile operators — directly comparable to Aicent's legacy telecom business offering data network and integrated messaging services.

TypeDirect peer
Description

CoreWeave operates a GPU cloud and compute marketplace purpose-built for AI workloads, the closest direct competitor to Aicent's ZCMK compute marketplace. Both target AI developers and enterprises needing elastic, distributed compute with low-latency scheduling.

TypeDirect peer
Description

Modal offers serverless AI infrastructure with code-first deployment, directly comparable to Aicent's developer-centric, self-serve AI compute and agent execution model. Both target AI developers who want frictionless deployment without managing infrastructure.

TypeBroad incumbent
Description

Hugging Face is the dominant model and inference hub for AI developers, comparable to Aicent as an end-to-end AI platform spanning models, compute, and developer tooling. Aicent competes for the same developer mindshare with a more specialized, sovereign-AI focus.

TypeDirect peer
Description

Syniverse is the closest direct competitor to Aicent's legacy mobile operator data network and messaging services business. Both provide IPX, signaling, and integrated mobile messaging infrastructure to mobile operators globally.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds5 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors4 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Aicent

AI Infrastructureaicent.com

Aicent operates as the brain layer (RFC-001) of the Aicent Stack, a sovereign AI infrastructure protocol comprising eight interdependent pillars (brain, nerves, immunity, blood, body) targeting sub-millisecond cognitive orchestration, self-sovereign AI identity, and zero-commission compute markets for developers, AI infrastructure operators, and industrial robotics builders.

What Aicent does

Aicent operates as the governance and brain layer (RFC-001) of the Aicent Stack, a sovereign AI infrastructure protocol modeled as a 17-pillar biological organism. The stack comprises eight named functional pillars — EPOEKIE (Soul), AICENT (Brain), RTTP (Nerve), RPKI (Immune), ZCMK (Blood), GTIOT (Body), AICENT-NET (Hive), and BEWHO (Persona) — plus nine additional MAXCAP pillars. The brain layer (currently v1.2.3-Alpha RADIANT) performs 128-bit intent decomposition, manages AID (Autonomous Identity) lifecycles via Ed25519 cryptography bound to ZCMK stake, and coordinates cross-pillar resource allocation with claimed sub-millisecond latency. Adjacent layers provide semantic multicast routing (RTTP), zero-trust identity verification (RPKI), a zero-commission compute market with nanosecond RTBA auctions (ZCMK), embodied physical execution at 1.2kHz (GTIOT), and dynamic persona switching (BEWHO). Technical claims include a 1.2B+ sovereign node target footprint, 10B+ TPS throughput, and 11 9s availability targets, though all metrics are self-reported and the platform is at alpha stage.

The company is led by founder/CEO Lynn Liu with prior VC backing from Warburg Pincus, Qualcomm Ventures, Intel Capital, and TA Associates across rounds from 2004-2011 totaling approximately $36.64M. Per firmographic data, Aicent was founded in 2000 in San Jose with 1,001-5,000 employees and historically provided data network services and integrated mobile messaging for mobile operators — a positioning that conflicts with the current sovereign AI infrastructure materials and suggests either a pivot, rebrand, or distinct entity sharing the name. Current go-to-market is developer-led and product-led, centered on a public GitHub repository, seven RFC specifications, and an interactive Demo Center / Simulation Suite 2.0; enterprise field sales supplements the self-serve motion. Revenue model design spans transaction fees on ZCMK compute auctions, usage-based infrastructure fees, and subscription recurring for AID identity services, but no commercial revenue, paying customers, or enterprise deployments are disclosed in the available material.

The technical architecture targets four primary use-case segments: AI infrastructure operators needing sovereign cognitive orchestration, industrial IoT and robotics requiring sub-millisecond reflex loops, AI compute market participants seeking zero-friction resource allocation, and AI agent developers needing semantic task routing. Pricing is not publicly disclosed; the ZCMK demo references compute market rates ($0.0006-$0.0009 per million FLOPs across Tokyo, Singapore, Berlin nodes) that represent the underlying resource cost rather than Aicent's service fees.

Aicent firmographics

Firmographics
Name
Aicent
Legal name
AICENT.COM ORGANIZATION
Website
https://aicent.com
Company type
Private
Founded year
2000
Operating status
Operating
Headcount range
1,001–5,000 employees
Short description
Aicent operates as the brain layer (RFC-001) of the Aicent Stack, a sovereign AI infrastructure protocol comprising eight interdependent pillars (brain, nerves, immunity, blood, body) targeting sub-millisecond cognitive orchestration, self-sovereign AI identity, and zero-commission compute markets for developers, AI infrastructure operators, and industrial robotics builders.
Ownership category
akta.pro rank

Aicent industry classification

Industry
Product category
AI Infrastructure
NAICS
Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design Services (541512)
SIC
Services-Prepackaged Software (7372), Computer Communications Equipment (3576), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
akta.pro secondary industries
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

  • AI infrastructure platform
  • Sovereign AI protocols
  • Autonomous agent orchestration
  • Zero-commission compute marketplace
  • Self-sovereign identity management

Where Aicent is headquartered

Location

Headquarters

HQ city
San Jose
HQ country
United States
HQ region
North America

Markets served

Aicent business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

  1. Sovereign AI Infrastructure Services: The ZCMK layer provides nanosecond-resolution RTBA (Real-Time Bidding Algorithm) auctions for AI compute resource allocation. The zero-commission market matches compute demand with supply from registered nodes globally. Revenue derived from micro-settlement fees on compute transactions between buyers and suppliers.
  2. AID Identity Management Services: Aicent Stack provides cognitive orchestration infrastructure for AI operations. The platform coordinates compute resource allocation, identity management, and task scheduling across the sovereign AI organism. Revenue likely derived from infrastructure fees, API access, or node participation fees.
  3. Subscription Recurring: Sovereign identity orchestration services for autonomous AI agents. Self-sovereign authentication without centralized authorities, economically secured through ZCMK stake binding.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goEnterprise Infrastructure Access
SubscriptionMonthlyAID Identity Management

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Aicent product offering

Product offering

Core offering

Aicent builds and operates the Aicent Stack, a sovereign AI infrastructure protocol stack modeled as a 17-pillar biological organism. The platform comprises multiple functional protocol layers — AICENT (cognitive orchestration), RTTP (real-time task transport), RPKI (zero-trust security), ZCMK (zero-commission compute marketplace), and GTIOT (embodied robotics) — that together provide sub-millisecond AI infrastructure with self-sovereign identity, distributed compute allocation, and embodied physical execution for enterprise AI systems.

Product overview

Aicent Stack is a sovereign AI infrastructure protocol stack modeled as a biological organism, built from 17 interdependent pillars. The core product portfolio centers on five functional layers: AICENT (RFC-001, the cognitive orchestration brain layer) handles autonomous task decomposition and AID sovereign identity management; RTTP (RFC-002, the nerve layer) provides real-time task processing and semantic multicast communication; RPKI (RFC-003, the immune layer) delivers parallel tensor watermarking and zero-trust verification; ZCMK (RFC-004, the blood layer) operates a zero-commission compute market with nanosecond RTBA auctions; and GTIOT (RFC-005, the body layer) enables embodied physical execution at 1.2kHz. Additional pillars include EPOEKIE (Soul), AICENT-NET (Hive), and BEWHO (Persona). These layers interconnect to form a closed-loop sovereign AI organism with sub-millisecond latency and 10B+ node throughput, accessible through the Aicent Stack Demo Center live simulation suite.

Differentiator

Problem solved

Functional benefit

Brands

  • AICENT Stack: The complete sovereign AI organism comprising multiple protocol layers: EPOEKIE (Soul), AICENT (Brain), RTTP (Nerve), RPKI (Immune), ZCMK (Blood), GTIOT (Body), AICENT-NET (Hive), BEWHO (Persona)

Products and services

  • AICENT (Brain Layer, RFC-001) The cognitive orchestration engine of the Aicent Stack — the 'brain' layer that decomposes high-level intentions into executable task graphs, manages AID (Autonomous Identity) lifecycle, and coordinates cross-pillar resource allocation with sub-millisecond precision. Implements 128-bit intent decomposition, sovereign identity management, and BEWHO-integrated persona switching. Designed for AI infrastructure operators building autonomous AI systems.
  • RTTP (Nerve Layer, RFC-002) Real-time Task Processing Protocol — an application-layer transport protocol for AI-agent-native real-time mounting and semantic addressing of unstructured tasks across distributed agents. Features stateful bidirectional streams, context snapshots with memory migration, and semantic routing based on task embeddings. Supports max 128 concurrent tasks and 128K context length. Designed for AI agent developers building multi-agent systems.
  • RPKI (Immune Layer, RFC-003) The security/immunity layer of the Aicent Stack performing parallel tensor watermarking and full-spectrum verification of identity and intent at wire speed. Ensures instant isolation of malicious entities with 850µs atomic isolation. Provides zero-trust identity routing signatures and hijacking prevention for the sovereign AI organism. Built for enterprise security and identity assurance use cases.
  • ZCMK (Blood Layer, RFC-004) Zero-Commission Market — the economic/circulatory layer of the Aicent Stack providing nanosecond-resolution RTBA (Real-Time Bidding Algorithm) auctions and micro-settlement logic for AI compute resource allocation. Achieves 85% cost reduction through zero-friction economic homeostasis across registered compute nodes globally. Designed for compute resource providers and AI compute buyers.
  • GTIOT (Body Layer, RFC-005) Global Trusted Internet of Things — the embodied physical execution layer of the Aicent Stack. Features Action-Collapse logic and high-fidelity shadow-state synchronization enabling 1.2kHz industrial-grade robotics reflexes and secure physical actuation with <150µs target latency. Designed for manufacturers and operators of industrial robotics and edge computing systems.
  • Aicent Stack (Sovereign AI Organism Platform) A complete, autonomous AI lifeform infrastructure protocol stack modeled after biological blueprints. Comprises 17 pillars including the 7 RFC layers (EPOEKIE/Soul, AICENT/Brain, RTTP/Nerve, RPKI/Immune, ZCMK/Blood, GTIOT/Body, AICENT-NET/Hive, BEWHO/Persona) plus 9 MAXCAP pillars. Designed for sovereign identity, real-time cognitive orchestration, and sub-millisecond AI infrastructure across 10B+ sovereign nodes.

Companies that use Aicent

Customer profile

Segments4 records

Ideal customer profiles4 records

Aicent technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature7 records

Aicent partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • Aicent Stack Components (EPOEKIE, RTTP, RPKI, ZCMK, GTIOT, BEWHO, AICENT-NET)coreOthersThe Aicent Stack comprises eight interdependent pillars forming a complete autonomous AI lifeform: EPOEKIE (Soul Layer, RFC-000), AICENT (Brain Layer, RFC-001), RTTP (Nerve Layer, RFC-002), RPKI (Immune Layer, RFC-003), ZCMK (Blood Layer, RFC-004), GTIOT (Body Layer, RFC-005), AICENT-NET (Hive Layer, RFC-006), and BEWHO (Persona Layer, RFC-007). Each layer is hosted at its own domain but operates as a unified biological organism with cross-layer integration and resource coordination.

Scale indicators7 records

Recent moves6 records

Expansion highlights7 records

Aicent competitors and assessment

Company assessment

Direct peers

  • Anyscale: Anyscale (built on Ray) provides distributed compute orchestration for AI workloads, the same architectural problem Aicent's AICENT brain layer and RTTP nerve layer target. Both enable developers to run and orchestrate AI workloads across distributed infrastructure.
  • Replicate: Replicate runs a cloud API for running and fine-tuning open-source AI models, sharing the marketplace-style model where developers deploy models and pay for compute — analogous to Aicent's ZCMK zero-commission compute marketplace.
  • iBasis: iBasis provides international voice, data, and mobile signaling services for operators — directly comparable to Aicent's legacy mobile operator data network services. Both serve as IPX carriers connecting mobile operators globally.
  • Together AI: Together AI provides a distributed AI cloud with an open-source inference and training stack, directly comparable to Aicent's stack of AI infrastructure layers. Both emphasize developer access, agent support, and cost-efficient AI compute at scale.
  • BICS: BICS (Belgacom International Carrier Services) provides wholesale carrier services including IPX, messaging, and roaming data services to mobile operators — directly comparable to Aicent's legacy telecom business offering data network and integrated messaging services.
  • CoreWeave: CoreWeave operates a GPU cloud and compute marketplace purpose-built for AI workloads, the closest direct competitor to Aicent's ZCMK compute marketplace. Both target AI developers and enterprises needing elastic, distributed compute with low-latency scheduling.
  • Modal: Modal offers serverless AI infrastructure with code-first deployment, directly comparable to Aicent's developer-centric, self-serve AI compute and agent execution model. Both target AI developers who want frictionless deployment without managing infrastructure.
  • Syniverse: Syniverse is the closest direct competitor to Aicent's legacy mobile operator data network and messaging services business. Both provide IPX, signaling, and integrated mobile messaging infrastructure to mobile operators globally.

Emerging players

  • RunPod: RunPod is an emerging GPU cloud and serverless AI compute provider with a marketplace for community-contributed compute, sharing the AI compute marketplace thesis with Aicent's ZCMK. Both target developers seeking flexible, low-cost AI compute.

Broad incumbents

  • Hugging Face: Hugging Face is the dominant model and inference hub for AI developers, comparable to Aicent as an end-to-end AI platform spanning models, compute, and developer tooling. Aicent competes for the same developer mindshare with a more specialized, sovereign-AI focus.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights6 records

Customer concentration

Aicent social profiles

Digital presence

Aicent financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Aicent leadership team

Management profile

Number of profiles

Profiles4 records

Aicent funding detail

Funding detail

Funding overview

Funding rounds5 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Aicent M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Aicent

What does Aicent do?

Aicent builds and operates the Aicent Stack, a sovereign AI infrastructure protocol stack modeled as a 17-pillar biological organism. The platform comprises multiple functional protocol layers — AICENT (cognitive orchestration), RTTP (real-time task transport), RPKI (zero-trust security), ZCMK (zero-commission compute marketplace), and GTIOT (embodied robotics) — that together provide sub-millisecond AI infrastructure with self-sovereign identity, distributed compute allocation, and embodied physical execution for enterprise AI systems.

Is Aicent a public or private company?

Aicent is a private company. It is classified as venture growth investor backed and is currently operating.

When was Aicent founded?

Aicent was founded in 2000. It employs 1,001 to 5,000 people.

Where is Aicent based?

Aicent is headquartered in San Jose, United States, in the North America region.

How does Aicent make money?

Three revenue lines are on record. Sovereign AI Infrastructure Services are the primary driver. The others are AID Identity Management Services and subscription Recurring.

Who are Aicent's main competitors?

Direct peers on record are Anyscale, Replicate, iBasis, Together AI, BICS, CoreWeave, Modal and Syniverse. RunPod is listed as an emerging player. Hugging Face is listed as a broad incumbent.

Does Aicent have an API?

Yes. RTTP (Real-time Task Processing Protocol) provides a public-facing API enabling real-time mounting and semantic addressing of unstructured tasks across distributed agents. Endpoints include: ws://api.rttp.com (WebSocket), grpc://api.rttp.com:50051 (gRPC), http://api.rttp.com (context sync/status heartbeat). Supports max 128 concurrent tasks, max context length 128,000 tokens, and payload types text/markdown, application/json, tensor/float32. Authentication via Bearer/JWT with JWKS URI at http://rttp.com. Developers can mount custom Agents to the RTTP.COM routing gateway. SDKs available: @rttp/core (npm/Node.js) and rttp-protocol (pip/Python). Developer documentation is at docs.rttp.com.

What industry is Aicent in?

Aicent's product category is AI Infrastructure. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 54151 and its SIC code is 7372.

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