Archimetis
Also known as: Archimetis Inc
AI operational reasoning system for refineries and heavy industrial plants that reads plant data and delivers referenced, ready to act recommendations.
Archimetis is an AI powered operational reasoning system for energy, chemical, pharmaceutical, refining, and other heavy industrial plants. Instead of asking operators to stare at more dashboards, it acts as an AI partner that reads live process data alongside history, incident notes, constraints, and documentation to understand what is happening across the plant, spotting weak signals, emerging risks, and improvement opportunities before they escalate and converting them into clear, ready to act recommendations. It ingests plant documentation, manuals, historical reports, and incident notes into a living system that learns from every shift, decision, and outcome to preserve and scale institutional expertise, and it monitors, diagnoses, and recommends actions with full reasoning and references so every suggestion can be trusted, challenged, and improved. Built by chemical operations and AI veterans, each customer runs in a fully isolated cloud environment with encryption in transit and at rest, least privilege access, and SSO based identity, and the system reports tens of millions of dollars in annual value for refineries.
Vendor details
Canonical URL
https://www.archimetis.ai
Category
Enterprise operations agent
Funding status
Raised 11.5 million dollars (February 2026), led by Inspired Capital, with participation from Homebrew, MCJ, Borusan Ventures, and Incite, plus operator angels including Jeff Dean, Matt Rogers, John Giannandrea, Alfred Spector, and Diane Tang. Founded 2023, headquartered in San Francisco, California. Reports delivering 34 to 45 million dollars in annual value for refineries. The Crunchbase export listed the location as Pennsylvania, which appears to be a data error; retrieved sources place the company in San Francisco.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Unifies disparate plant data infrastructure, reading live process and sensor data alongside historians, tickets, PDFs, emails, manuals, and incident notes into a single reasoning framework.
Sources & related URLs
Capability coverage
9.0 / 14 capabilities · 64%
| Integrations & Tool CallingArchimetis unifies disparate plant data infrastructure, reading live process and sensor data alongside historians, tickets, PDFs, emails, manuals, and incident notes into a single reasoning framework per archimetis.ai and the funding announcement. | Full |
|---|---|
| Workflow OrchestrationArchimetis uses agent based reasoning to monitor, diagnose, and recommend across the plant, an analytical reasoning pipeline, but it advises operators rather than autonomously executing control actions. | Partial |
| Knowledge Grounding & RAGArchimetis reads live process data alongside history, incident notes, constraints, and documentation, and ingests manuals and historical reports into a living system that reasons over the full plant context per archimetis.ai. | Full |
| Human Oversight & GuardrailsArchimetis acts as an AI partner that monitors, diagnoses, and recommends actions with full reasoning and references so every suggestion can be trusted, challenged, and improved, with operators making the decisions per archimetis.ai. | Full |
| Security, Identity & GovernanceEach customer runs in a fully isolated cloud environment with TLS 1.3 in transit, KMS managed encryption at rest, VPC peered transfers, least privilege service accounts, no standing credentials, and SSO or OIDC identity, so operational data is never shared, mixed, or exposed per archimetis.ai. | Full |
| Observability & AuditabilityArchimetis monitors, diagnoses, and recommends actions with full reasoning and references, so every recommendation is explainable and can be traced and verified per archimetis.ai. | Full |
| Memory & State PersistenceArchimetis turns ingested plant documentation and history into a living system that learns from every shift, decision, and outcome to preserve and scale institutional expertise per archimetis.ai. | Full |
| Deployment & Data ResidencyEach customer runs in a fully isolated GCP environment with VPC peered transfers so operational data is never shared or mixed, giving strong per customer data isolation and residency control per archimetis.ai. | Full |
| Prebuilt Agents / Templates / PacksArchimetis ships process specific reasoning across refining (reforming, heat recovery, compression, synthesis), chemicals (distillation, crackers, reactors), polymers, and pharma batch and continuous workflows, a set of prebuilt vertical process models rather than a self serve agent catalog. | Partial |
| Triggers & Channel CoverageArchimetis detects weak signals and emerging risks in real time and flags issues such as yield drift and fouling before they impact throughput, an event driven early warning trigger, but through a single delivery surface rather than multichannel coverage. | Partial |
| Model Flexibility & RoutingArchimetis applies advanced AI internally, but no customer selectable model or model routing was documented this session. | Unable to verify |
| APIs / SDKs / MCP ExtensibilityArchimetis integrates deeply with plant data systems, but no public developer API, SDK, or MCP endpoint for building on the platform was documented this session. | Unable to verify |
| Testing, Debugging & OptimizationEvery Archimetis suggestion can be challenged and improved, and the system learns from every shift, decision, and outcome, a feedback and improvement loop rather than a formal agent evaluation framework. | Partial |
| Browser / Computer-useNo browser driving or computer use capability; Archimetis reasons over plant data and surfaces recommendations rather than operating a browser or GUI. | Unable to verify |
Pricing
Custom (contact sales)
Cost watchouts
Pricing was not disclosed; per customer isolated cloud deployment, data integration across plant systems, and domain onboarding likely factor into enterprise contract cost.
Variable cost rationale
Likely per plant or per facility enterprise licensing plus isolated cloud and integration cost; value framing of tens of millions per refinery suggests large contract sizes, but the unit was not retrieved this session.
Sales call required
Yes — required for paid access
Key ambiguities
No public entry price; whether billing is per plant, per facility, or value based was not retrieved this session.
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