How CERAP accelerates AI innovation with cobl’s AI agent platform

See how CERAP’s engineering teams turned three days of RFP analysis into just one, with cobl’s secure AI agent platform built for precision, control, and collaboration.

Get early access

3 days → 1 day per tender (66% faster)

3 days → 1 day per tender (66% faster)

Fewer manual errors

Fewer manual errors

Centralized knowledge sharing

Centralized knowledge sharing

CERAP Prévention’s story

Learn more about Cerap Prévention

In the nuclear industry, every document is critical — tenders, technical memorandums, and compliance dossiers often exceed 200 pages. At CERAP Prévention, a leader in nuclear engineering and radioprotection, these documents are essential but time-consuming to produce.

To streamline this process, CERAP’s engineering teams partnered with cobl (formerly Thinkeo) to automate parts of their tender analysis and document preparation, without compromising accuracy or traceability.

Led by Eric Hénon, Director of Subsidiaries and Development, the collaboration began as an experiment to test whether AI agents could help engineers focus on value-added work rather than repetitive document review.

200-Page Tenders and Repetitive Content

Discover the challenge

Every week, CERAP engineers respond to complex calls for tender requiring deep analysis of technical and regulatory requirements.

“About 50 to 60 percent of the content is always the same,” explains Eric. “We had to reread everything each time, verify that nothing had changed, and copy-paste carefully. It was repetitive, time-consuming, and error-prone.”

Even a small copy-paste error, a missing paragraph, an outdated clause, could jeopardize the entire bid. The goal was clear: reduce manual work while keeping full expert control and auditability.

Choosing cobl for Precision and Control

While testing several AI tools, Eric discovered Cobl’s AI agent platform.

Consulting

“I had tested different AI solutions, but none offered the level of precision and customization we needed. cobl was different, each AI agent is specialized for a specific task or data set, and together they deliver exactly what we expect.”

Eric Henon

Director of Subsidiaries and Development

Analyzing Tenders Faster and Safer

5–10 days per doc

5–10 days per doc

5–10 days per doc

5–10 days per doc

Before cobl, sensitive tenders couldn’t be analyzed through public AI tools, forcing teams to print and annotate documents by hand.

“I used to spend three days analyzing a major tender,” says Eric. “With cobl, the analysis and synthesis are done automatically, I can now focus on what really matters: how CERAP can best respond to the client.”

On average, what once required three full days now takes just one, a 66% time reduction per tender, while improving consistency and traceability across projects.

Time Saved and Human Focus Restored

3 days → 1 day to analyze large RFPs

Fewer manual errors from copy-pasting

Centralized knowledge sharing for tender responses

Engineers focused on value, not repetition

“cobl lets me concentrate on the client’s real needs instead of highlighting pages for hours,” Eric adds.

“The next step is to integrate cobl directly into our company intranet. Anyone who needs to analyze a tender or prepare a technical document will be able to use it securely, without being an AI expert or knowing how to code."

Eric Henon
Director of Subsidiaries and Development

From manual pain to measurable gains

See the difference before and after adopting cobl’s AI agents.

Before

3 days spent on each tender

3 days spent on each tender

Frequent copy-paste and version errors

Frequent copy-paste and version errors

Manual review of 200+ pages

Manual review of 200+ pages

After

1 day per tender (66% faster)

1 day per tender (66% faster)

Fewer manual errors, fully auditable

Fewer manual errors, fully auditable

Automated tender synthesis and structured insights

Automated tender synthesis and structured insights

Stop wasting time on repetitive documents.

Start capturing your expertise in reusable AI agents.