Aerospace · AI for tenders

Multiple professions. A coherent offering.

Engineering, quality, industrialization and the sales team contribute to the same offer. Specgen structures requirements, prepares sourced responses and identifies discrepancies between your documents to facilitate the review of program commitments.

Bid managers, program managers, engineering, quality and industrialization · Aerospace OEMs and suppliers

Two contributions, one commitment to align
Engineering · §5.2
Product qualification: proposed timeline of 18 months.
Industrialization · §7.1
Same qualification milestone: proposed timeline of 14 months.
One milestone, two timelines

Example contributions to compare before submission.

1 / 3

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 · Consultation

Structured requirements

Specifications, quality appendices and response frameworks involve multiple disciplines.

Extract the requirements from the documents provided and build a matrix to organize how they will be handled.
2 · Knowledge

Suitable references

Responses from a previous program provide a baseline, to be adjusted to the product and capabilities offered.

Choose the relevant knowledge and prepare your Word and Excel contributions with their sources.
3 · Business function contributions

Aligned commitments

Timelines, resources and performance must remain consistent across the different parts of the offer.

BidMatching compares the documents and highlights discrepancies with both of their sources.
4 · Program review

A documented decision

The team must be able to review open items and validate commitments before submission.

Find partial responses and gaps, then keep the review results.
BidMatching · After drafting

From requirements to the review of commitments.

The matrix structures the processing of requirements from the moment they are extracted. After drafting, BidMatching assesses how well the responses are covered and cross-checks the bid documents. Your experts have the sources to review discrepancies.

DOCUMENT REVIEW EXAMPLE
Clause traceability Covered Specification §6 → Technical memorandum §4
Proposed production resources Covered RFP §8 → Industrial offer §3
Qualification milestone To be decided Engineering §5.2 ↔ Schedule §7.1
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 Reduce consolidation work

A structured requirements repository and pre-prepared responses in the expected formats.

2 Mobilize the right references

Knowledge selected for the program and drafting linked to its sources.

3 Make bid review easier

Documented divergences to prepare trade-offs between business units.

Questions to review for your project.

We already have a PLM and requirements tools.

Specgen supports the tender and the bid documents. Configuration management, calculations, and product data remain in your business tools.

Who validates the proposed performance?

Your specialists. Specgen brings the documentary elements together and flags discrepancies; calculations, tests, and technical validations remain their responsibility.

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.

Request a demo

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 · Aerospace

The answers to move forward.

How does Specgen help with a multi-discipline aerospace response?

Specgen structures the requirements from the documents provided, prepares contributions from the selected knowledge, and compares the proposal documents to identify discrepancies in timelines, resources, or performance.

Is the matrix built as soon as the extraction is done?

Yes. The requirements are extracted and classified to organize their processing. Coverage assessment comes next, when the drafted proposal is compared against the requirements.

Can Word and Excel contributions be compared?

Yes. BidMatching cross-checks the parts of the bid against each other and against the requirements. The sources of discrepancies are accessible to enable the teams to arbitrate.

Can we reuse responses from another program?

Yes, based on the authorized documents selected for the offer. Citations help teams verify that references, resources, and performance remain suitable for the target program.

Does Specgen manage flow-down to subcontractors?

Specgen analyzes the requirements in the provided documents, but does not automatically identify the requirements to be flowed down to subcontractors or their scope. This responsibility remains within your business processes.

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.