Zira is the data platform purpose-built for manufacturers who treat operations data with the same seriousness as financial data. Real-time ingestion from PLCs, sensors, and cameras. Structured forms from operators. AI vision for quality, safety, and inventory. All in one governed, audited, recoverable system of record.
Most plants run on a patchwork: an MES that only sees one line, a quality system that lives in spreadsheets, a vision tool that never talks to the PLC. Zira ingests all three streams into a single, time-aligned event store.
Connect PLCs, OPC UA servers, MQTT brokers, sensors, scales, scanners, and legacy controllers. Bi-directional reads and writes. Edge agents handle network drops, buffer locally, and resync without data loss.
Build forms, checklists, work instructions, and approval flows in minutes. Run them on tablets, phones, scanners, or panel PCs. Every entry is timestamped, attributed to an operator, signed where required, and tied to the same event timeline as the machines.
Zira cameras run on-device AI for defect detection, count verification, inventory tracking, safety zones, and maintenance precursors. Vision events flow into the same store as machine and worker data, with the original frame attached for evidence and audit.
Every cycle, defect, downtime event, form submission, and detection lands in a unified, immutable timeline — versioned, queryable, exportable, and tied to the original raw signal. This is the foundation everything else stands on.
Zira ships with an embedded AI agent — powered by Claude, with OpenAI as a drop-in alternative — that turns a sentence into a working device configuration, form, alert rule, or dashboard. Process engineers describe what they need. The platform generates the implementation, validates it against your data model, and deploys it under change control.
The agent has full context on your tag library, line topology, camera fleet, operator roles, and data schema. It doesn't guess. It composes from the real building blocks already in your system, then asks for confirmation before anything goes live.
Think of it as Claude with operational memory of your plant.
Zira is model-agnostic by design. Frontier LLMs from Anthropic and OpenAI handle the agentic and reasoning work. Our own proprietary vision and time-series models handle the operational work that demands sub-second latency, deterministic behavior, and your competitive edge. You get all three, governed under one platform with one audit trail.
Claude and OpenAI are integrated as first-class citizens. Use them for the open-ended work: building forms from a sentence, drafting SOPs, explaining a downtime spike, summarizing a shift, or running a multi-step agent that opens a work order, pings the lead, and waits for sign-off.
A robust platform is what makes the AI useful. Schemas, permissions, change control, lineage, immutable history, and the integrations to your ERP, MES, and warehouse. The platform is the part that doesn't go away when a model is replaced or an engineer leaves — and it's the part you can't get from an LLM alone.
Zira's own on-device vision models run at the edge for the work that has to be fast, private, and deterministic — defect detection, count, safety, dimensional checks. Train custom models on your data, deploy them under your account, and keep the weights. The models you build on Zira are your IP, not the platform's.
Zira is the operations layer, not a replacement for your ERP, MES, or warehouse system. Out-of-the-box connectors stream data both directions, so the floor and the back office finally agree on what happened.
NetSuite, SAP, Microsoft Dynamics, Epicor, Sage, Acumatica, Infor. Push production counts, consume work orders, reconcile inventory, post quality holds.
Ignition, Wonderware/AVEVA, Rockwell FactoryTalk, Siemens, Emerson DeltaV. Bi-directional read/write with full tag mapping and namespace alignment.
Maximo, Fiix, UpKeep, Limble, eMaint. Vision-detected anomalies and threshold events automatically open and enrich work orders.
Snowflake, Databricks, BigQuery, Redshift, Postgres. Stream raw events, hourly rollups, and curated marts. Bring your own BI — Power BI, Tableau, Looker, Sigma.
Slack, Microsoft Teams, WhatsApp, Twilio SMS, email. Okta, Azure AD, Google Workspace, SAML, SCIM. Alerts and approvals flow to wherever people already work.
REST, GraphQL, gRPC, webhooks, and a typed SDK. Use Zira as a programmable backbone — every event, form, and detection is addressable, queryable, and subscribable.
Zira meets the same security and assurance bar as the financial systems your CFO depends on. Independently audited, continuously tested, and operated with the discipline that operations data deserves.
Multi-region replication, point-in-time recovery to the second, automated daily backups retained for 90 days, and full disaster-recovery rehearsals every quarter. RPO <15 min, RTO <1 hour.
SSO via SAML or OIDC, SCIM provisioning, role-based and attribute-based access, immutable audit log of every read and write, and configurable approval workflows for sensitive changes.
Every event is hash-chained, signed at the edge, and reproducibly addressable. Schema changes are versioned; deletions are tombstoned. Built for FDA Part 11 and ISO 9001 traceability requirements.
It's a fair question. Modern AI tools make it easier than ever to put a script together. But operations data is not a side project — and the gap between a clever internal tool and a system the whole plant can depend on is wider than it looks.
Building a prototype is easy. Running it for ten years, under audit, across twenty sites, with people's safety and a plant's output depending on it — that is the actual problem. That is what Zira solves.
Talk to our team about deploying Zira at one site, or designing an enterprise rollout across your network.