Orbid AI Is Live: Medical Device Tender Response in Minutes, Not Weeks

Orbid AI is live at orbid.dev

Today we are announcing that Orbid AI is live and available for medical device teams worldwide. After months of development and validation with anchor customers, the autonomous AI agent for medical device tender response is ready for production use. Teams can now request a demo and see the platform run on their own real tender documents.

Orbid AI does what a tender response team does — but in minutes instead of weeks. Give it a tender specification table, and it reads every row, matches each line item against your product catalog, checks compliance across 14 regulatory regimes, identifies evidence gaps, and drafts a complete response with source citations. A 150-row spec table that used to take a team two weeks to process is completed in under 60 seconds. Visit orbid.dev to learn more about the platform and its capabilities.

What's new since we announced

When we first introduced Orbid AI, we described the vision: an AI agent that understands medical device tenders at the cell level, not just the document level. Since that announcement, the platform has evolved significantly through real-world use with anchor customers processing live tenders.

Cell-native processing is the foundation that sets Orbid AI apart from document-level AI tools. Rather than treating a tender as a single document to summarize, Orbid processes each individual cell in a specification table independently. Row 47, column 3 — "biocompatibility certification per ISO 10993-1:2018" — is parsed, interpreted, matched, and answered as its own discrete task. This cell-level granularity is what makes 90% accuracy possible across complex multi-page spec tables.

Evidence tracing is now active on every response cell. When Orbid AI answers a tender requirement, it cites the specific source: the product datasheet paragraph, the regulatory certificate clause, the test report section. Reviewers do not need to hunt for evidence — it is linked directly in the response draft. This traceability is critical for audit-readiness and for teams that need to verify AI-generated responses before submission.

Confidence scoring gives teams a clear signal on where to focus their review time. Each response cell receives a confidence score. High-confidence cells (backed by exact catalog matches and current certificates) can be reviewed quickly. Low-confidence cells (where the match is approximate or evidence is missing) are flagged for human attention. This means your subject matter experts spend their time where it matters most, not re-checking work the AI already got right.

The results with anchor customers speak clearly: tender cycle compression from 14 days to 2 days, and accuracy improvement from 60% (first prototype) to 90% on production tenders. These are not benchmarks on synthetic data — they are measured on real tenders submitted to real procurement authorities.

Three modules, one workflow

Orbid AI is built as three integrated modules that work together in a single workflow. Each module handles a distinct phase of the tender response process, and together they form a complete system from tender intake to submission-ready draft.

Operator is the execution engine. It takes a raw tender document — typically an Excel spec table or PDF requirements list — and runs a three-step pipeline: parse, match, and draft. Parse extracts every requirement into structured data. Match finds the best product from your catalog for each line item. Draft generates the response text with evidence citations. Operator is where the 60-second processing time happens. You can explore the full feature set to understand how each step works.

Arsenal is your product knowledge base. It stores your complete product catalog — datasheets, certificates, test reports, regulatory approvals, pricing structures, and configuration options — in a format optimized for AI retrieval. When Operator needs to match a tender requirement against your products, it queries Arsenal. The richer your Arsenal, the higher your match accuracy. Arsenal is not a generic document store; it is structured specifically for tender response, with fields mapped to the kinds of questions procurement authorities ask.

Intel is the cross-border compliance knowledge graph. It encodes the regulatory requirements and procurement rules for 14 regulatory regimes, structured around the WTO Government Procurement Agreement (GPA) framework. Intel knows that a GeBIZ tender in Singapore requires an HSA product registration number, that an EU TED tender requires an MDR Declaration of Conformity with a Notified Body certificate, and that a Brazilian COMPRASNET tender requires ANVISA registration. When Operator checks compliance, it queries Intel to determine what evidence is required for the specific market and procurement authority.

Built for Chinese OEM exporters going global

Orbid AI was built to solve a specific, acute problem: Chinese medical device manufacturers expanding internationally have no adequate tooling for overseas tender response. The domestic tender ecosystem in China is well-served by platforms that cover NMPA registration, provincial tender platforms, and local procurement rules. But the moment a Chinese OEM pursues a tender in Singapore, the EU, Latin America, or the Middle East, they face a blank — no structured compliance data, no automated matching, no cross-border evidence mapping.

This gap is where Orbid AI operates. The platform automatically maps NMPA regulatory evidence to the corresponding requirements in FDA, CE/MDR, and HSA frameworks. A Chinese manufacturer with an NMPA Class II registration and ISO 13485 certification can see exactly what additional evidence is needed for an EU MDR Class IIa submission or a Singapore HSA Class B registration — and Orbid drafts the compliance matrix automatically.

The founding team built Orbid AI from direct experience with international tender operations at Comen Medical, one of China's leading patient monitoring and respiratory device manufacturers. That experience — processing hundreds of international tenders across dozens of countries — revealed the gap that no existing software addressed. Orbid AI is the tool that team wished they had.

See it on your real tender

We do not do slide decks. When you request a demo, we ask you to bring a real tender document — a spec table you are currently working on or recently submitted. During the call, we run that actual tender through Orbid AI live. You see your own requirements parsed, your own products matched, your own compliance gaps identified, and a draft response generated with evidence citations.

This is the fastest way to evaluate whether Orbid AI works for your product portfolio, your target markets, and your team's workflow. No hypotheticals, no synthetic demos, no "imagine if" scenarios. Your tender, your products, your results.

Request a demo at orbid.dev/contact and see Orbid AI run on the tender sitting on your desk right now. Or read more about the Orbid AI platform and how it fits into your tender response workflow.