Aicent
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.
- Company typePrivate
- Founded2000
- HeadquartersSan Jose, United States
- Headcount1,001–5,000
- GTM typeB2B
- OfferingSoftware
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
Where Aicent is headquartered
LocationHeadquarters
- 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
- 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.
- 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.
- Subscription Recurring: Sovereign identity orchestration services for autonomous AI agents. Self-sovereign authentication without centralized authorities, economically secured through ZCMK stake binding.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Enterprise Infrastructure Access |
| Subscription | Monthly | AID Identity Management |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels5 records
Aicent product offering
Product offeringCore 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 profileSegments4 records
Ideal customer profiles4 records
Aicent technology and API
TechnologyTechnology 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 signalPartnerships
One partnership is on record.
- Aicent Stack Components (EPOEKIE, RTTP, RPKI, ZCMK, GTIOT, BEWHO, AICENT-NET)coreThe 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 assessmentDirect 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 presenceAicent financial estimates
Financial estimateRevenue estimate
Valuation estimate
Aicent leadership team
Management profileNumber of profiles
Profiles4 records
Aicent funding detail
Funding detailFunding 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 investmentM&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.