DINTELLINNO is an enterprise agentic AI engine platform for building secure, high-performance AI agents and multi-agent systems. It builds agentic engines and their modules as separate microservices rather than AI frameworks, and treats agents as independent entities and native system processes — not LLM wrappers. Performance, security, and compliance are built in from conception.

What is an agentic AI engine?

An agentic AI engine is a native runtime for running AI agents — autonomous systems that plan, reason, and take actions using tools. Unlike an AI framework, DINTELLINNO provides complete engines and modules as independent microservices, with multi-agent orchestration, tool execution, and memory, where each agent is its own system process.

Does DINTELLINNO support manufacturing and robotics?

Yes. DINTELLINNO powers agentic hardware control and in-device edge systems for manufacturing — coordinating robotic arms, CNC machines, conveyors, and autonomous mobile robots, supervising production lines, and running locally on controllers and industrial PCs with no cloud dependency.

Can DINTELLINNO help turn an organization into an agentic organization?

Yes. DINTELLINNO provides dedicated products and services to create or convert existing organizations and companies into fully agentic operations — modeled by departments, roles, and virtual employees. It supports GDPR-compliant, fully private agentic organizations with security and enterprise features built in, additional modules for deeper needs, and compatibility with current and legacy systems. DINTELLINNO also helps develop organization plans for intelligence systems and provides long-term support.

Can DINTELLINNO run fully air-gapped and without any cloud?

Yes. DINTELLINNO is designed for fully air-gapped, isolated, private, and cloud-independent deployment with zero data egress. It runs on-premises on ARM64, RISC-V, and x86-64 hardware, from edge devices to multi-server clusters, with no external runtime dependencies.

Is DINTELLINNO suitable for government, defense, and intelligence use cases?

Yes. DINTELLINNO is engineered for mission-critical and sensitive environments including government, military, defense, intelligence, medical, finance, banking, manufacturing, and smart cities. It combines air-gapped operation, hardened security, hardware-backed key isolation, and compliance-ready data handling.

How does DINTELLINNO handle privacy and compliance?

Privacy and compliance are built into the core modules and domain-specific languages rather than added as an afterthought. GDPR and other regulatory requirements are expressed once, standardized across every engine, and applied automatically when needed — with no separate compliance layer and no duplicated development effort. It supports GDPR, HIPAA, SOC 2, and ISO 27001 aligned deployments.

How many agents can DINTELLINNO run?

DINTELLINNO is designed for high-concurrency operation and supports millions of agents per server. This allows a single deployment to serve organizations and cities of any size, from a single facility to a metropolis, without architectural change.

What makes DINTELLINNO high-performance?

DINTELLINNO delivers fast, deterministic, low-latency execution suitable for high-concurrency workloads, running native compiled engines that combine generative AI, deep learning, and classical machine learning inference in one unified runtime from edge to multi-server clusters.

Does DINTELLINNO support semiconductor manufacturing and SEMI Europe members?

Yes. DINTELLINNO is built for SEMI Europe members and the wider semiconductor supply chain — equipment makers, materials suppliers, fabs, packaging houses, and EU system integrators. It brings deterministic, air-gapped agent execution to the fab across tool and process control, AMHS and cleanroom robotics, yield and defect intelligence, and predictive maintenance. It integrates with SECS/GEM (SEMI E5, E30, E37, E39, E40, E87, E90, E94, E116) and Interface A / EDA (E120, E125, E132), plus OPC-UA, MQTT, Modbus, and EtherCAT for MES, EAP, and APC/R2R integration, and aligns with the EU Chips Act, NIS2, IEC 62443, and the EU AI Act.

What is agentic city infrastructure?

Agentic city infrastructure is a reference architecture for coordinating a city's devices, systems, and services through autonomous agents that run on the city's own infrastructure — not a central cloud. DINTELLINNO provides the agentic engine, agentic devices, and urban edge runtime; because cities are safety-critical and procurement-heavy, deployment is pilot-led and scoped to one domain at a time (for example facilities, traffic, or environmental monitoring) with human oversight and certification review. Our benchmarks hold 1,000,000+ distinct agents on a single node — the scale a city of any size needs, ready to prove in a pilot.

Can DINTELLINNO deploy in the EU with EU data residency?

Yes. DINTELLINNO is air-gapped, private, and cloud-independent, so it can be hosted entirely within the EU with EU data residency and no data egress. It supports EUR-based commercial terms, GDPR-compliant deployment by design, and engagement models for SEMI Europe members including OEM and embedded licensing, fab pilot and benchmark programs, and EU-funded or consortium collaboration.

DINTELLINNO — Sovereign Agent Infrastructure

DINTELLINNO builds enterprise agentic AI engines and their modules as separate microservices for secure, high-performance AI agents, autonomous agents, and multi-agent systems. Agents are independent entities and native system processes — not LLM wrappers — and the platform is developed from the ground up rather than assembled from existing frameworks. Performance and security are applied from conception.

The platform is designed for private and privacy-first development and deploys fully air-gapped, isolated, and cloud-independent with zero data egress — no cloud required. It serves critical and sensitive use cases including government, military, defense, intelligence, medical and healthcare, finance, and banking. Compliance is built in by design, including GDPR, HIPAA, SOC 2, and ISO 27001 aligned deployments, without adding a separate compliance layer or extra development effort.

DINTELLINNO powers agentic manufacturing and industrial systems: agentic hardware control for robotics, CNC machines, and production lines, plus in-device edge systems running locally on controllers and industrial PCs. The same engine supports a reference architecture for agentic city infrastructure — agentic devices and urban edge runtime — deployed one municipal domain at a time, with human oversight and certification review built in.

EAE — the flagship DINTELLINNO engine — is engineered for reliability when building private agentic clouds of any size, with measured performance and performance-per-watt advantage over fragmented toolchains on our published benchmarks. A cloud is always optional: EAE runs fully on-premises and air-gapped with no cloud required, and it is fully compatible with Kubernetes, enabling private, sovereign, regional, and hyperscale agentic clouds when one is wanted.

DINTELLINNO also provides dedicated products and services to create or convert organizations into fully agentic organizations — modeled by departments, roles, and virtual employees, fully GDPR-compliant and private, with security and enterprise features built in, additional modules for deeper needs, and compatibility with current and legacy systems. It helps develop organization plans for intelligence systems and provides long-term support for fully intelligent organizations.

DINTELLINNO unifies generative AI, deep learning, and classical machine learning inference in one native runtime, from edge hardware and robotics control to multi-server clusters, delivering high-performance, deterministic, low-latency execution. Services include agentic AI and enterprise architecture, custom agentic engineering development, system optimization, integration, deployment, and lifecycle support with full commercial support from conception to development.

DINTELLINNO also serves the semiconductor and microelectronics industry, including SEMI Europe members: equipment makers, materials suppliers, fabs (IDMs and foundries), packaging houses, and EU system integrators. It brings deterministic, air-gapped agent execution to the fab across tool and process control, automated material handling (AMHS, OHT, stockers, FOUP routing), cleanroom robotics, yield and defect intelligence, metrology and run-to-run control, and predictive maintenance and OEE. It integrates with SECS/GEM (SEMI E5, E30, E37, E39, E40, E87, E90, E94, E116) and Interface A / EDA (E120, E125, E132), plus OPC-UA, MQTT, Modbus, and EtherCAT for MES, EAP, and APC/R2R integration, and aligns with the EU Chips Act, SEMI Standards, NIS2, IEC 62443, and the EU AI Act. Deployment can be fully within the EU with EU data residency and EUR-based commercial terms.

Keywords: agentic AI engine, enterprise AI engine platform, AI agents, multi-agent systems, autonomous agents, agent framework alternative, agentic cloud, private AI cloud, sovereign cloud, Kubernetes AI, agentic organization, virtual employees, agentic manufacturing, manufacturing AI, industrial AI, robotics AI, agentic hardware control, agentic devices, edge AI, air-gapped AI, sovereign AI, privacy-first AI, secure AI agents, no-cloud AI, cloud-independent AI, compliance-ready AI, high-performance AI engine, energy-efficient AI, millions of agents, AgentOS, SEMI Europe, semiconductor manufacturing, fab automation, SECS/GEM, AMHS, yield management, OEE, EU Chips Act, NIS2, IEC 62443, EU AI Act, EU data residency; and, as a reference architecture only, agentic city and agentic city management.

DINTELLINNO — EU-native software engineering and AI infrastructure

Software Engineering, AI Infrastructure, Production — European Engineering for the Agentic Era

From enterprise applications to air-gapped clusters — running production AI with no cloud required.

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01 COMPANY

Engineering for the agentic era

DINTELLINNO is an EU-native software engineering and AI company. We design, build and modernise the platform, cloud and applied AI systems that carry production workloads — with a sovereign agent runtime underneath.

R&D company building enterprise agentic engines from first principles.
Performance, security and compliance are built in — not bolted on.
Runs on-premises, air-gapped or cloud-optional.

Explore the full thesis Company & team

02 WHAT WE BUILD

Agents as first-class systems

We treat an agent as an independent system process — not a thin wrapper around a language model. It owns its identity, capabilities, memory, state and lifecycle.

Agents are native processes, not prompt shims over an API.
Engines and modules, not frameworks or fragile glue.
Performance and security designed in from day zero.

Explore our focus

03 PLATFORM

Seven native engines. One runtime.

EAE is the self-contained flagship microservice runtime. Six optional native modules extend it through a unified architecture — with no external runtime tooling.

EAE Enterprise Agent Engine — the AgentOS microkernel.
EBE, ESE, EKE, EME, ETE and EGE native modules.
One static Go binary, from edge devices to clusters.

Explore the engine suite Platform deep dive

04 SOLUTIONS

Reference architectures for critical environments

Pilot-ready architectures, deployed one domain at a time. Each runs on your infrastructure, under your policy, with human oversight where it matters.

Agentic City — city-scale intelligence, locally owned.
Agentic Cloud and Organization — private, optional infrastructure.
Manufacturing, semiconductor, edge and ground control.

Explore the solutions Solutions overview

05 AGENTIC CITY

City-scale intelligence, on city infrastructure

A reference architecture for coordinating a city’s devices, systems and services through autonomous agents that run on the city’s own infrastructure — never a central cloud.

Embedded agents in cameras, sensors, signals and meters.
Human-supervised, policy-bounded per municipal domain.
Citizen data stays inside the city’s perimeter.

Explore Agentic City

06 AGENTIC CLOUD

A private agent cloud. Optional by design.

EAE can build private agentic clouds of any size, with measured performance and Kubernetes compatibility. A cloud is never required — the platform runs fully on-premises.

Kubernetes-compatible private agent cloud.
Measured throughput and performance per watt.
Cloud-optional: air-gapped and on-premises supported.

Explore Agentic Cloud

07 AGENTIC ORGANIZATION

Convert the organization into an agentic operation

Dedicated products and services to create — or convert — an organization into a fully agentic operation, modeled by departments, roles and virtual employees.

Departments, roles and virtual employees as independent agents.
GDPR-compliant operations by design.
Extend with additional DINTELLINNO modules.

Explore the model

08 MANUFACTURING

Deterministic agents on the factory floor

Agentic hardware control and in-device edge systems for robots, machines and production lines — autonomous, deterministic and secure execution at the point of work.

Direct coordination of robots, CNC machines and actuators.
Adaptive control that reasons about the line in real time.
Runs in-device with no cloud dependency.

Explore manufacturing

09 SEMICONDUCTOR

An integrated platform for the semiconductor value chain

Hardware-level integration, manufacturing management and software-level agentic intelligence — designed for organizations across the semiconductor value chain.

Connect fab hardware and on-site infrastructure securely.
Unify manufacturing management and production intelligence.
Add an agentic software layer across the value chain.

Explore semiconductor Benchmark data

10 EDGE

Intelligence on the device

A dedicated architecture for low-SWaP microcontrollers, autonomous robot fleets, field sensors and industrial gateways — with hardened, defense-oriented security.

Small static binary for ARM64 and industrial x86.
Bare-metal execution on AMRs, sensors and drone boards.
Zero external runtime dependencies and no cloud egress.

Explore edge deployment

11 AGCS

Sovereign ground control for uncrewed systems

Agentic Ground Control Systems for uncrewed aerial and ground vehicles — multi-agent command nodes with live telemetry and human-in-the-loop oversight.

Coordinate multi-vehicle swarms from a single command node.
Live telemetry and real-time flight-plan adaptation.
Hardened, defense-oriented security.

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12 TECHNOLOGY

GenAI and ML in one execution graph

Generative AI, deep-learning representations and classical ML share the same features, memory models and execution semantics — with no multi-runtime chasm.

Classical ML inference directly inside Go goroutines.
Vector embeddings and graph RAG in the same graph.
Streamed generative synthesis with hash-chained audit.

Explore the convergence Platform architecture

13 ORCHESTRATION

Native patterns for multi-agent work

Architectural patterns for coordinating distributed, heterogeneous collectives of specialized agents — from dynamic swarms to adversarial debate.

Swarms, hierarchical trees, debate, consensus and blackboards.
ReAct, Tree of Thought, plan-and-execute and supervisor patterns.
Human-in-the-loop, fallback routing and recursive topologies.

Explore the topologies

14 MEMORY

A rigorous lifecycle for agent memory

Working state, session context, episodic memory and deterministic facts — each with its own tier, budget and retrieval semantics.

In-process working memory with TTL and change listeners.
Session buffers with configurable token and message budgets.
Episodic recall, entity graphs and L1/L2 response caching.

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15 GOVERNANCE

Governance compiled into the request path

Recovery, authorization, epoch validation, privacy, auditing, quota governance and constraint validation — one chain, selected per request.

Preset safeguard chains compiled at startup.
Each request selects a pre-built bitmask pipeline.
Governance resolved with minimal overhead.

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16 PROOF

Measured performance, not promises

HFT-style execution characteristics across planning loops, agent dispatch and semantic retrieval — measured, not marketed.

Reproducible in our lab, not a marketing number.
Measured on a single 8-core node.
Full methodology available under NDA.

Explore the evidence Benchmark explorer

17 COMPARISON

One runtime instead of a dozen moving parts

A lab comparison of scattered script toolchains against a unified, Go-native runtime. Figures are indicative — verify on your own workload.

Single static binary instead of disjointed libraries.
Sub-millisecond execution and ~120 ns in-process IPC.
Lower TCO, from ARM64 edge to air-gapped servers.

Explore the comparison See the numbers

18 SERVICES

Work directly with the principal architects

Production-grade Agentic AI architectures, bespoke autonomous systems and flexible support models under strict mission SLAs.

Direct access to the principal architects and core engineers.
Fixed-scope pilots, ongoing retainers or turnkey delivery.
EU-native engineering with EUR terms and EU data residency on request.

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20 RESOURCES

Tools, guides and samples

Practical tools, in-depth guides and ready-to-run samples — so teams can adopt proven components without rebuilding the basics.

Adopt proven components instead of rebuilding the basics.
Production-minded material, not demo-grade snippets.
Open starting points you can inspect, own and extend.

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21 CONTACT

Tell us what you’re building

Architectural reviews, support retainers or turnkey delivery. Our systems team responds to every inquiry within 24 hours.

Architectural review, pilot scoping or production delivery.
EU-native engineering, with Armenia-based delivery.
SEMI Europe members: ask about fab-readiness and EU data residency.

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