Archetype AI is an AI platform for building and deploying Physical Agents in the real world. It's powered by a proprietary foundation model, Newton, which fuses multimodal sensor data to enable real-time perception, reasoning, and decision-making across machines, environments, and people. The platform allows customers to create and deploy agents that monitor, optimize, and automate complex physical operations. Early enterprise customers ( including NTT DATA, Kajima, and the City of Bellevue ) have already deployed Physical Agents to increase efficiency, reduce downtime, and improve safety in environments ranging from warehouses and construction sites to city streets.
Highlights
Foundation Model for the Physical World: Archetype platform is powered by the first foundation model that perceives, understands, and reasons about the physical world in real time.
Pre-Built Sensor Fusion: Zero to minimal fine-tuning required while delivering superior performance compared to specialized models. Turn industry-specific physical sensors ( radars, accelerometers, IoT devices ) into insights.
Agent Toolkit: an intuitive visual environment for building Physical Agents. Create continuous agents for monitoring, safety, and task verification with a simple interface
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension: the Archetype Platform, billed in units. You pay a base cost to deploy and operate the platform under a contract. Pricing is flat, with no metering on tokens, inference, or data volume. You adjust the quantity of units to match your deployment. This single-dimension structure covers building and running Newton Agents across your environments, whether in the cloud, a private cloud, on-premises, or on edge hardware. There are no separate usage add-ons or tiered plans to combine.
Top-of-mind questions for buyers
What counts as one unit when deploying the Archetype Platform?
A unit represents a measure of your platform deployment, used to size how much you run. Licensing stays flat, with no metering on tokens, inference, or data volume. You adjust the quantity of units to match the scale of your deployment rather than per-usage activity.
Does my cost change if I process more data or run more agent inferences?
No. Licensing is flat, with no metering on tokens, inference, or data volume. Running more agents or processing more sensor data does not add charges. Your cost is driven by the base platform units you deploy, not by how heavily you use the platform.
Does where I deploy the platform change the pricing?
No. The base cost covers deploying and operating the platform across environments. You can run in the cloud, a private cloud, on-premises, or air-gapped on edge hardware. The deployment location does not create separate charges, since licensing is flat across environments.
www.archetypeai.io+1
Helpful?
Vendor refund policy
No Refunds
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Unlock the potential of Generative AI for your business. Share your business challenges with us: beSharp's Cloud Experts will analyze your pain points and design at least 3 tailor-made, AWS-native solutions to optimize your processes, ensuring scalability and security.
GAIA connects AI assistants and agents to your business systems under each user's own permissions, with ready-made connectors for major SaaS and a full audit trail of every operation, deployed in your own AWS account.
Helping security teams to discover AI agents and API traffic, monitor their intent and behavior, detect real-time threats, and automating investigations.
Live digital twins maintain a historical and behavioral representation of assets, endpoints, consumers, and agents.
The platform monitors all traffic and provides a stateful analysis across the entire ecosystem, supporting a more comprehensive and resilient cybersecurity posture.
Unleash the Power of NA-Gen-AI
Elevate your data journey with us, where security, metadata illumination, precision in domain-driven lake architecture, and the power of prompt engineering converge to redefine data analytics and Gen AI excellence.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.