Bridging the gap in the industrial lifecycle
A product's life doesn't begin on the factory floor, and it certainly doesn't end there. Modern manufacturers design their products, engineer them, build them, ship them, service them, and support them in the field for years, sometimes decades. Every stage generates knowledge: requirements and CAD models in design, work instructions and inspection records in production, warranty claims and service reports once the product is in customers' hands.
Each wave of enterprise technology has digitized one of these stages. PLM captured the design. ERP and MES captured the build. CRM and field service platforms captured the aftermarket. And yet the most valuable insights live in the gaps between these systems: where a warranty spike in the field should inform a design revision, where a service technician's notes should reach the quality engineer, where an assembly process change should propagate into the support documentation.
Today, those connections are made by hand, if they're made at all.
We're now in the midst of the most important technology shift in a generation: applied AI. Large language models can, for the first time, read the way engineers write. Design specs, work instructions, warranty claims, service reports, decades of institutional knowledge trapped in documents across every stage of the lifecycle.
Software that could only store industrial knowledge can now reason about it, and connect it.
We believe applied AI will close the gaps that enterprise software left open. In the age of applied AI, the answer to "why is this failing in the field, and what do we change in the design?" is not a three-month investigation across six systems. It's a conversation, a recommendation, and a workflow encoded with your expertise.
To bring applied AI to your business, you need a new type of software: an AI agent built for the industrial lifecycle.
Every manufacturer needs an integrated agent
Agents are autonomous, AI-powered software systems that work directly alongside your engineers, operators, and service teams to connect dots and take action on their behalf. For manufacturers, agents represent something simple: an always-on teammate that knows your products across business functions, from the first design requirement to the last service call, carrying knowledge across the boundaries where it usually gets lost.
At Tabbird, we're building the applied AI platform for modern manufacturers, enabling every manufacturer, including yours, to put agents to work across design, production, services, and support.
We've had the privilege of building the Tabbird platform alongside manufacturers and their service networks who live these problems daily.
One industrial equipment manufacturer we work with was drowning in warranty claims: thousands of free-text claims a month, triaged by hand, with root causes surfacing months after they first appeared in the field. Their Tabbird agent now reads every claim as it arrives, clusters emerging failure modes, and traces them back through production records to the responsible components, assembly, and design decisions: evidence their quality engineers take straight into CAPA. Field signals that once took a quarter to triage and reach the responsible team now arrive in days, closing the loop between service and design that their systems never could.
Another partner, a precision agriculture technology manufacturer, points their Tabbird agent at a different kind of gap: configuration complexity. Their product must fit machines they didn't build. Choosing the right one means weighing the vehicle configuration, the implement, and the farming operation. These deciding details live in specs, compatibility matrices, and the heads of a few veteran engineers. That meant days of back-and-forth for every customer. Their Tabbird agent now reasons across all these variables and identifies the best configuration in minutes. Customers get a personalized recommendation without the wait, and the manufacturer serves everyone as if their best engineer were on the line.
We could not be more excited to bring the Tabbird platform to every manufacturer ready to put this remarkable technology to work.
AI that is capable, integrated, and trustworthy
Putting AI into a traditional industrial manufacturer is no easy task. Large language models can hallucinate, and when the answer informs a design change or a service decision, a confident wrong answer isn't an inconvenience. It's a liability. Industrial data is fragmented across PLM, ERP, MES, service platforms, data warehouses, and file shares, in formats that were never meant to talk to each other. And engineers don't want a chatbot that summarizes. A traditional script follows a rigid, hard-coded path; a conversational tool only restates the data you hand it. Engineers need AI that interprets unstructured information, dynamically determines the relationships across systems, traces a field failure to its root cause, and shows its work.
These are the problems we're solving at Tabbird. Our platform is powerful, practical to deploy, and built to create AI agents that are capable, integrated, and trustworthy.
Capable.
Tabbird agents do so much more than answer questions. They run the analysis end to end: ingesting telemetry and failure logs as they arrive, clustering emerging failure modes, mapping the variables that connect them, and proposing a root cause for your engineers to confirm. Then they follow through: tracing a field failure back to the design decision behind it, drafting the engineering change notes and the updated service bulletins that follow. Agents reason, problem solve, and act, with goals you set and guardrails aligned with your policies, whether the job is a single triage step or a full 8D investigation.
Integrated.
Tabbird agents work inside the way your business already runs. They plug directly into your PLM, your ERP, your quality and service systems, and they fit into your existing business workflows rather than demanding new ones. Your teams keep working the way they already do; the agent meets them there. No rip-and-replace, no multi-year migrations.
Trustworthy.
Tabbird agents reason from your data, not from the open internet, and every conclusion is traceable back to the reports and telemetry that support it. Agents show their work at every step: why failures were grouped together, how confident the agent is in each conclusion, and the full data lineage behind it, so your engineers audit and approve rather than do the heavy lifting themselves. The platform includes auditing trails so every user can inspect the reasoning behind every recommendation. Access to your systems of record is deterministic and policy-controlled, your agents always operate within the permissions set by you, and your company's data stays your own. The platform deploys in your cloud or on premises, and your data is never used to train models for anyone else. In this industry, an answer without a trail is not an answer.
The Tabbird platform enables you to stay focused on building better products: our agents address nuanced technical inquiries about your products, catch problems before they reach your customers, and encode the knowledge of your best engineers. And every investigation an agent completes adds to that knowledge: confirmed root causes, the reasoning behind each decision, the documentation that follows. Institutional knowledge that once retired with your veterans now compounds with every product you ship, and feeds the new product FMEA before the first prototype is built.
Partner with us
Tabbird exists for one purpose: to empower manufacturers with applied AI to build reliable products, then service and support them with confidence. We are grateful to the partners who took a leap of faith to build this platform with us, and we would love to bring what they've experienced to your business.
If you'd like to learn more, check out our website, tabbird.ai, or reach out directly to set up a demo.
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