Deterministic engineering foundation
Rules-based manufacturability analysis evaluates geometry, materials, processes, and manufacturing constraints using established engineering methods.
Arcessio combines proven, deterministic manufacturability analysis with AI agents to help engineers reduce cost, weight, and lead time without giving up control of engineering decisions.
Built by engineers, for engineers. | Patented technology | 7 years of industrial use
AI does the legwork. Engineers make the decisions.
Built for the way your parts are made
AdditiveCNC machiningInjection moldingSheet metalCastingBuilt by engineers, for engineers. Arcessio combines a patented, deterministic design-for-manufacturing (DfM) analysis engine with AI agents that make complex manufacturing insights accessible, explainable, and actionable.
Our underlying DfM technology has been used for seven years by leading aerospace, automotive, and industrial manufacturers. AI enhances this proven foundation. It doesn’t replace engineering science with probabilistic guesses.
Rules-based manufacturability analysis evaluates geometry, materials, processes, and manufacturing constraints using established engineering methods.
AI agents interpret results, explain tradeoffs, answer engineering questions, and help engineers explore alternatives faster.
Review, challenge, approve, or reject recommendations based on engineering judgment and application requirements.
Collaborate with qualified suppliers and mechanical engineering experts to evaluate recommendations against production realities.
See the cost and sourcing impact of material, process, and geometry decisions before production.
Analyze parts and assemblies in one pass. Focus your experts on the highest-impact opportunities.
Compare processes and materials at your volume, with cost curves, break-even quantities, and lead times.
Find opportunities to consolidate parts, reduce weight, and simplify production. Your engineers choose the tradeoffs.
Ask Arcessio why a manufacturing process, material, or design change is recommended. Explore cost, lead-time, and manufacturability tradeoffs in plain language, with engineers and suppliers contributing their expertise.
Arcessio brings AI, engineers, and suppliers together to make better manufacturing decisions. Every recommendation can be questioned, refined, and validated by human expertise.
Analyze parts, explain tradeoffs, and recommend alternatives.
Question, refine, approve, or reject recommendations.
Challenge assumptions and contribute manufacturing insights.
Better decisions through AI + human expertise.
Go beyond recommendations with support from experienced mechanical engineers. Our Engineering Assist team helps validate manufacturing alternatives, prepare designs for production, and reduce the workload on your internal team.
Supported by mechanical engineering experts in the U.S. and cost-effective global engineering locations.
Talk to our engineering team ↗Available with Enterprise plans. Services and scope subject to agreement.
Expert review of manufacturability recommendations and engineering tradeoffs.
Create or modify CAD models, digitize legacy drawings, and prepare manufacturing documentation.
Optimize geometry, consolidate parts, and evaluate additive manufacturing alternatives.
Coordinate prototype builds and early testing to evaluate design feasibility.
PLM: Teamcenter and equivalents
ERP: SAP and Oracle
Logistics and payments
Microsoft Azure
Azure Government
Private or air-gapped
Audit logging
Single sign-on
Dedicated models
Integration, deployment, and control options depend on your Enterprise scope. Confirm current availability and any planned or custom configuration with our team.
No. Arcessio combines a patented, deterministic DfM analysis foundation with AI agents. The engineering engine evaluates manufacturing options using established rules and models, while AI helps interpret information, explain results, and support interactive decision-making.
Our underlying manufacturability technology has a seven-year history of industrial use. Engineers can review the analysis, challenge assumptions, compare alternatives, and apply their judgment before accepting recommendations. Individual recommendations still require validation against application requirements.
AI-generated explanations and interpretations can be imperfect. Arcessio grounds engineering analysis in deterministic methods and supports review by engineers and suppliers. Recommendations should be validated before production decisions, especially for critical applications.
No. Arcessio accelerates analysis and identifies opportunities. Engineers remain responsible for approving changes and determining whether simulation, prototyping, testing, or qualification is required.
That’s part of the value. Suppliers can collaborate with engineering and procurement, challenge assumptions, and propose alternatives based on their manufacturing experience.
Arcessio evaluates available geometry, material, process, and drawing information. Engineers should confirm critical tolerances, loads, interfaces, and functional requirements before accepting recommendations.
Yes. Engineering Assist can provide expert DfM reviews, CAD modifications, design-for-additive support, prototype coordination, and initial testing within the agreed service scope.
Arcessio supports controlled collaboration and enterprise deployment options. Specific security, data isolation, retention, and AI data-handling requirements should be confirmed for each deployment.
A 3D CAD file and/or a 2D drawing. STEP is preferred for CAD. Arcessio can analyze individual parts, assemblies, and portfolios.
Additive manufacturing, CNC machining, injection molding, sheet metal, casting, and more. Recommendations consider your material and production volume.
Discover opportunities to reduce cost, weight, and lead time with proven engineering analysis, AI intelligence, and human expertise working together.