Defense & naval · AI for calls for tenders

Your expertise makes the difference. Its scope remains controlled.

Prepare your defense bids and your responses to naval tenders using authorized knowledge. Analyze, draft, and verify within your infrastructure, On-Premises or Air-Gapped, with traceable sources and access rights applied to processing.

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Bid management, program managers, and security · Defense manufacturers, equipment suppliers, and naval contractors

Draft within the authorized scope

Naval program A · Authorized access

Support methods, references, and documentation accessible to the team.

Program B · Unauthorized access

The documents remain outside the accessible scope.

Access rights applied

The selection of knowledge for the offer is made within the authorized scope.

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Explanatory diagram · Fictional example, with no customer data.

100% extracted and classified requirements

75% task automation related to tenders

Your data within your infrastructure · On-Premise / Air-Gapped

Your challenges, practical use cases

A solution tailored to the way you work.

1 · Access scopes

The right knowledge

Teams contribute to several programs with different document access rights.

The processing uses the documents accessible according to the rights and scope selected for the offer.

2 · Technical responses

Your expertise mobilized

Responses reuse methods, references, and technical elements specific to your activity.

Prepare the report and the Word or Excel templates from authorized knowledge, with their sources.

3 · Naval tenders

Equipment and support

An offer for embedded equipment or operational maintenance combines performance, interventions, and timelines.

Structure the requirements and compare the offer’s commitments against the tender documents.

4 · Data governance

Processing on your premises

The deployment must fit within the security perimeter defined by your organization.

Run the models and processing locally, without any external AI API, including in an isolated network.

BidMatching · After drafting

A documented response, a controlled review.

For a naval support or equipment tender, BidMatching aligns the customer’s expectations with the proposed responses. The review team has the justifications to assess resources, performance and timelines.

DOCUMENT REVIEW EXAMPLE

Support organization Covered Consultation §5 → Submission document §4

Proposed response time Partial Consultation §7 → Timeline appendix

Resources mobilized Covered Consultation §6 → Technical proposal §3

Fictional example · The AI’s assessments are subject to review by your teams. The final decision remains human.

Deployment & data governance

Your tendering AI.
In your environment.

Discovery on servers in France

Non-sensitive files

3 months to assess usage

An opportunity for discovery for files suited to this framework, before a local rollout.

On-Premise

Models and processing on your servers

Control of your data

Analysis, research, drafting and review within your infrastructure, with no external AI API or outbound data flow.

Air-Gapped

Isolated network, with no Internet connection

Fully local operation

Processing runs within your perimeter. Updates are provided in packages validated by your teams.

A three-month discovery is also possible On-Premise or Air-Gapped , after installation in your environment. Operation without an outbound connection can then be evaluated with your technical teams.

The value for your teams

More time for expertise and decision-making.

1 Reuse approved know-how

Build on the methods and references accessible to the response team.

2 Prepare bids more efficiently

Link requirements analysis, drafting, and verification in a single workflow.

3 Maintain control over processing

The models, documents, and checks run in the selected environment.

Questions to review for your project.

The need-to-know requirement must be respected.

Access rights govern the knowledge that can be used by the processing. The selection of sources for an offer falls within this scope.

Our network is isolated.

Specgen runs in an air-gapped environment. Models and processing are local; updates are delivered as packages for validation and installation by authorized teams.

Your next call for tenders

See what Specgen brings to your offers.

Let’s discuss your use cases with the people involved in your project. A one-hour video demo, with no prior preparation.

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An old file can be used as supporting material under an NDA. The AI results are presented back to you on a timeline agreed based on the teams’ availability.

Frequently asked questions · Defense & naval

The answers to move forward.

How does Specgen apply rights by program?

Accessible knowledge is restricted according to rights and program. The scope applies to search, drafting, and review.

Does Specgen detect copy-and-paste from another program?

Not in an offer that has already been drafted. The compartmentalization presented concerns the sources accessible to the processing, and does not constitute a general detection of the origin of an imported text.

How to use Specgen for a naval tender?

For an onboard system or a support service, Specgen extracts requirements from the documents provided, prepares a response from authorized knowledge, and compares the offer against the customer’s expectations.

How does Air-Gapped deployment work?

The models and the analysis, search, drafting, and review processes run in the isolated network, with no Internet connection, no external AI API, and no outbound telemetry.

Is Specgen accredited for any classified document?

No general certification is claimed. Specgen is designed for Restricted Distribution environments; its use depends on your organization’s scope and authorizations. Technical elements are available to support the deployment review.

Can we try Specgen for three months on our infrastructure?

Yes. The three-month discovery can be carried out On-Premise or Air-Gapped, after installation in your environment. Discovery on servers in France is also possible for non-sensitive cases suited to this framework.

How can we verify the sources of the AI’s results?

Requirements, drafted passages, and assessments are linked to their documentary sources. Specgen flags insufficient information; your teams review the supporting evidence and validate the results.