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Forgent AI vs.
vibe-coded services

Why domain-specific expertise makes the difference in winning tenders.

Tenders require trust.
We deliver it.

Tenders require trust.
We deliver it.

Vibe-coded tools are everywhere with the democratisation of AI. Vibe-coded refers to software rapidly assembled using AI coding assistants. Often without deep domain expertise, experienced engineers or quality assurance essential for multi-million tenders processes.

Feature depth vs. feature breadth

Many features on the surface, but no depth: no triple quality assurance, no 75 AI iterations per proposal, no validated proposal writer reviewed by tender experts.

No proven results

Without reliable client stories and demonstrated win-rate improvements, effectiveness remains purely theoretical. Multi-million-euro tenders demand proven reliability.

Superficial domain expertise

Vibe-coded tools are built by generalists who use AI to write code. Not by tender experts, bid managers, and top engineers.

Fragile Security Architecture


Rapidly generated code often means: no comprehensive security audits, no enterprise certifications – a serious risk when uploading confidential tender documents.

Feature-by-feature comparison

Forgent AI vs. vibe-coded solutions

Platform & Approach

Vibe-coded solutions
Product Philosophy

Domain-specific AI platform with specialized agents (Finder, Evaluator, Writer). Co-built with enterprises, validated by procurement experts

x AI assistant based on generic LLMs, rapidly assembled without deep procurement domain expertise on the development team

Process Coverage

End-to-end: Pre-sales → Find → Evaluate → Fill forms → Draft bidder questions → Write concept. All process steps on one platform, all enabled by domain-specific AI agents

x Fragmented features, basic writing support. No comprehensive platform

Technology

LLM-agnostic / Best-of-Breed. 15+ engineers from Stripe, AWS, Microsoft, Stanford, UCL, Oxford. Latest models integrated within days

x Connected to standard LLMs without a dedicated AI research team. Dependent on individual provider API availability

Team

20+ team members from Google, DeepMind, McKinsey, BCG, Microsoft, Stripe. Founders with multiple exits, top engineers, and tender experts

x Small teams, no tender expertise

Innovation Speed

12-month head start. Weekly new features. Early-access program

x No roadmap, ad-hoc features

Find

Source Coverage

99.9% - 100% EU above-threshold procedures and 99% of all national tenders in Germany. Connected to over 100 platforms in Germany like TED, Bund.de, etc.. Up to 150% more relevant tenders found compared to other aggregators. Often published 1-5 days earlier than on other platforms.

x Exact coverage rate not independently verified

Search Functionality

Search beyond CPV Codes. Only find the truly relevant tenders; no false-positives anymore. Confirmed by customers.

x No published benchmarks on match accuracy

Document Retrieval

Full document retrieval for >80% of all tenders. No more manual downloading from the source platforms

x No automated document retrieval documented

Tender Foresight

Forward-looking intelligence: know which tenders will be published in the future

x Not available

Evaluate

Analysis Depth

Analysis of 10,000+ pages and 50+ files. Custom eligibility, evaluation, and compliance criteria configurable; check whether company can and wants to bid. If answer is unclear, AI flags it

x No published benchmarks on accuracy; hallucination on answers

Speed

Bid/No-Bid decision in <5 minutes. Up to 90% less time spent on screening

x Can be fast but unsure whether AI really screened all criteria. Without multi-stage quality assurance, the AI can be lazy and not screen all documents

Apply

Writing Support

Full-featured Proposal Writer: 70–90% AI draft based on company's prior concepts and the tender's requirements. 6–7x faster proposal creation. Scales internal subject-matter expertise

x ChatGPT-style writing of concepts; no consistent link to source documents, no tender expertise reflected

Quality Assurance

Multiple AI QA: completeness check, factual accuracy check, and homogenization check. 75 versions per proposal (5 parallel drafts × 15 iterations)

x No multi-stage quality assurance process documented

Accuracy

98%+ accuracy in requirements extraction (internally benchmarked). Every requirement is factually grounded

x No accuracy benchmarks published

Win-rate Impact

Forward-looking intelligence: know which tenders will be published in the future

x No proven win-rate impact

Security & Compliance

Certifications

GDPR, ISO 27001, SOC, eIDAS. AES-256 encryption. SSO. Audited by enterprise customers

x Depends on provider

Data Usage

No foundation model training with customer data. Data remains private

x No detailed data usage policy published

Hosting

European hosting with regional processing. At-rest & in-transit encryption

x Depends on provider. Risk with international hosting.

Expert Evaluation

Every feature is evaluated by procurement experts using real tenders: Christian Stuhldreier, 10+ years IT procurement; Dr. Carsten Bringmann, procurement law attorney at Noerr

x No documented evaluation by tender and legal experts

References

Customer References

€3B in client revenue in the public sector. Clients include Fortune 500 companies, mid-sized companies and SMBs. See customer stories

x No enterprise references

Frequently Asked Questions

What exactly is a "vibe-coded" tool?

The term "vibe-coding" describes software primarily built using AI coding assistants (such as Cursor, Copilot, etc.) – often by small teams without deep domain knowledge in public procurement. The result: rapidly built products that look impressive on the surface but have significant gaps in depth, security, and reliability for enterprise applications.

Why is quality assurance so important for proposals?

Public tenders are highly formalized: a missing requirement, a factual error, or an inconsistent writing style can lead to disqualification. Forgent's triple AI quality assurance (completeness, factual accuracy, homogenization) across 75 iterations systematically minimizes this risk.

How secure are my tender documents with Forgent?

Your data is encrypted with AES-256, hosted on European servers, and never used for AI model training. Forgent is ISO 27001 and SOC certified and has passed the security audits of Fortune 500 enterprises.

Can I try Forgent before committing?

Yes. We offer a free demo and 7-day trial. We're also happy to arrange a reference call with one of our customers.

What exactly is a "vibe-coded" tool?

The term "vibe-coding" describes software primarily built using AI coding assistants (such as Cursor, Copilot, etc.) – often by small teams without deep domain knowledge in public procurement. The result: rapidly built products that look impressive on the surface but have significant gaps in depth, security, and reliability for enterprise applications.

Why is quality assurance so important for proposals?

Public tenders are highly formalized: a missing requirement, a factual error, or an inconsistent writing style can lead to disqualification. Forgent's triple AI quality assurance (completeness, factual accuracy, homogenization) across 75 iterations systematically minimizes this risk.

How secure are my tender documents with Forgent?

Your data is encrypted with AES-256, hosted on European servers, and never used for AI model training. Forgent is ISO 27001 and SOC certified and has passed the security audits of Fortune 500 enterprises.

Can I try Forgent before committing?

Yes. We offer a free demo and 7-day trial. We're also happy to arrange a reference call with one of our customers.

Win your next public tender.

Without the grind.

Win your next public tender.

Without the grind.

Win your next
public tender.
Without the grind.

© 2025 Forgent AI GmbH. All Rights Reserved.

© 2025 Forgent AI GmbH. All Rights Reserved.

© 2025 Forgent AI GmbH. All Rights Reserved.