SANTA CLARA, Calif., June 18, 2025 (GLOBE NEWSWIRE) -- Articul8, a leading enterprise GenAI company, today unveiled its next-generation multi-agent domain-specific AI platform at the Paris Air Show, demonstrating how artificial intelligence can actively reason, collaborate, and solve engineering problems across the entire aerospace lifecycle -- from conceptual design to manufacturing execution.

The showcase demonstrates how Articul8’s platform reduces errors and delays by orchestrating a team of AI agents that mirror expert-level reasoning across design, modeling, compliance, and supply chain coordination. Unlike traditional tools that passively generate outputs, Articul8’s platform enables AI agents to detect conflicts, propose fixes, and coordinate resolution in real time -- with full traceability and enterprise-grade compliance.

“We’re not just showing a point solution -- we’re showing the power of connecting traditional engineering and operational silos,” said Arun Subramaniyan, CEO of Articul8. “At the Paris Air Show, we’re connecting the dots across design, engineering, and supply chain to show how GenAI can actively unlock value with precision in one of the world’s most complex industries.”

What’s new: Resolving Engineering Failures with Multi-Agent Reasoning AI

At the Paris Air Show, Articul8 spotlighted a persistent challenge in aerospace engineering: merging modules and sub-assemblies from different suppliers into a unified final assembly. These integration points often fail due to misaligned geometry, inconsistent specifications, or undocumented differences between supplier parts -- even when all components technically fall within tolerance limits.

To demonstrate the platform in action, Articul8 used a real-world example: a radome (aircraft nose covering) failing to merge correctly with the nose cone structure -- a costly issue in aerospace assembly.

With Articul8’s platform:

• A Supplier Agent with geometry domain-specific model reviews design inputs and makes sure parts meet required specifications
• A Modeling Agent with a design domain-specific model interacts directly with 3D modeling environments via APIs to check geometry and perform merge validations
• A Process Agent with a supply-chain domain-specific model ensures the correct assembly sequence is followed, flags any anomalies, and recommends resolution paths
  

When the system detects that a radome won’t merge correctly, it doesn’t just halt the process -- it identifies the root cause to the right components that need to be repositioned due to their unique deviations, proposes a fix (such as a geometric adjustment), applies it via the modeling environment’s APIs, and auto-generates a compliance note for the supplier to prevent recurrence.

This intelligent coordination eliminates trial-and-error, reduces stress on already overloaded senior experts, and ensures full traceability at every step.

From Demo to Deployment: Domain-Specific GenAI in Action

This live showcase extends Articul8’s growing A8-SupplyChain product line, a family of domain-specific GenAI models purpose-built for manufacturing and industrial environments. These models autonomously translate technical documentation into actionable steps, enabling real-time decision-making across engineering, production, and supplier ecosystems.

By embedding domain-specific reasoning into every phase -- from design validation to corrective action -- Articul8 is helping global enterprises reduce risk, minimize delays, and ensure every step is audit-proof.

Platform Highlights

• Multi-Agent Domain-specific Orchestration: Domain-specific AI agents with distinct roles work together to carry out and validate engineering tasks across tools and 3D modeling environments -- autonomously and in real time.
• Built-in Domain-specific Reasoning: The system understands context, identifies failure points, and proactively recommends resolutions, knowing the specific nuances of the domain.
• Traceability by Default: Every step, decision, and system response is logged, making it ideal for safety-critical, highly regulated environments.
• No Clean Data Required: Articul8 ingests messy, unstructured files -- reducing prep time and enabling faster deployment.

Why It Matters

With aerospace and defense sectors facing tighter timelines, heightened regulatory scrutiny, and distributed supply chains, Articul8’s platform delivers a new class of intelligence -- one that embeds domain expertise directly into the systems teams already use.

“Domain-specificity is where AI needs to go,” added Subramaniyan. “We’re building intelligent domain-specific agents that don’t just blindly generate outputs -- they make decisions, take action, and create impact at every level of engineering.”

About Articul8
Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises such as Franklin Templeton, Intel, Itochu Techno-Solutions Corporation, AWS, Intel and Accenture to transform their mission-critical work.

Media Contact
Kacie Thomas
(559) 287-0325
Kacie.Thomas@articul8.ai